The Future of Insurance

Епизоде

• 
  The Future of Insurance – Stay Tuned for Next Week 13.09.2026

  We're taking a quick break this week as we ramp up with a lot of interviews being recorded in the next month.  Stay tuned and be sure to subscribe you catch them when they start dropping on September 22nd with Season 9 Episode 6!
• 
  The Future of Insurance - Agents & AI: Same Channel, Different People 08.09.2026 25мин

  Episode Detail This episode is a discussion of the thought leadership paper Bryan Falchuk published in September 2026 on a pressing an important question the industry is facing today – will AI spell the end of insurance agents and brokers? AI is not going to kill the insurance agent channel. That's not really in dispute, and it was never the right question. In this solo episode, Bryan Falchuk argues that the public debate over AI and agents has been fought almost entirely on the wrong terrain — demand — when the real disruption is on the supply side. Buyer demand for a trusted expert on a complicated, high-stakes decision is as durable as ever, but that says nothing about how many people will be doing that work five years from now, or how much of it AI will be doing on their behalf. Bryan traces the argument through a real disagreement with fellow industry voice Matteo Carbone, a landscaping-business example of what agentic AI can catch that no human ever sees, and the two mechanisms he thinks actually create opportunity inside this disruption: Empowered Expertise and Market Expansion. The channel isn't disappearing. How it's staffed, and by whom, is about to change faster than most of the industry is planning for. Show Notes: The Real Question: Demand vs. Supply Demand isn't the debate: Bryan agrees the agent channel survives — buyer demand for a trusted expert on a complex, infrequent, high-stakes decision isn't eroding. The real question is who or what does the work inside the channel five years from now. A channel can hold 100% of its market share and still be staffed by a fraction of today's headcount, partly by AI standing in an agent's seat. Where the Reframe Came From: The Matteo Carbone Debate The idea grew out of a real disagreement with Matteo Carbone, Founder & Director of IoT Insurance Observatory, who argues buyers won't shop and transact alone for something this complicated. Bryan agrees. Bryan's pushback: demand-side evidence, like low churn, doesn't say anything about how much of the work AI ends up doing. His read: most of the public debate is arguing past itself over demand when the actual disagreement, if there is one, is about supply. Accountable Delegation, Reconsidered Bryan is skeptical people consciously want a human to blame if something goes wrong, rather than offloading the cognitive burden onto someone trusted to have done the homework. Why it matters: wanting someone to blame is human-only, but wanting a trusted expert to carry judgment is something AI can plausibly meet. We already do this elsewhere, the same way fraud alerts and wearables already quietly do, without anyone consciously choosing to delegate. Why This Time Is Actually Different The Internet never displaced agents because it's a transaction engine, built for buyers who already know exactly what they want. Insurance is sold, not bought. Most buyers need someone to translate a messy, real-world situation into the right coverage, which the Internet was never built to do. AI can build context: interviewing a buyer, pulling outside data, mapping risk, and comparing it against policy language — the same judgment work a good agent does, at a scale one person can't match. Prompted AI vs. Agentic AI Most AI-and-insurance conversations assume a prompted model: a chatbot a person has to remember to open, which still requires someone to decide "today I'll think about my insurance." Agentic AI removes that requirement — in Bryan's landscaping-business example, an AI system already handling her scheduling and contracts catches a new tree-removal service line and flags the coverage gap before she or her agent notices. The real disruption isn't a friendlier chatbot: it's AI finding the need on its own, before anyone on either side of the transaction has done anything at all. Agents Are Already Leaning on AI, and It's Not Speculative David Embry, CEO of Mylo, described building AI that gives brokers a constantly current view of market rates and appetite instead of trying to hold it all in their head. Jason Cass has talked about agentic AI absorbing a large share of an agency's operational load, from paperwork to quoting, letting the same team handle more business with fewer people. Layered on top: agents are retiring faster than they're being replaced, and AI is what lets the channel hold its market position anyway. The Opportunity Side: Empowered Expertise and Market Expansion Empowered Expertise: AI that continuously tracks the market doesn't replace an agent's judgment — it gives them the raw material to use it faster. Market Expansion: the same pattern that built the Cyber insurance category is playing out with AI liability, data mishandling, and bad AI-generated work — exposures that need an expert to explain and sell coverage for them. Carriers are already excluding AI liability, and ISO is updating standard policies to do the same, while startups like Testudo build coverage specifically for that gap — raising the need for an agent's help, not lowering it. Why Humans Stay Essential: Analytical vs. Critical Thinking Bill Pappas, EVP and Global Head of Technology and Operations at MetLife, distinguishes analytical thinking (patterns, logic, volume) from critical thinking (judgment in ambiguous situations). AI is winning the analytical work, and Bryan doesn't think that's a fight worth having. The future isn't humans competing with AI for the same slice of work: it's AI taking the analytical load off agents entirely so they can spend nearly all their time on the critical thinking that was always the hardest part of the job to replace. Timing: Faster Than Most Are Planning For The cultural barrier to trusting AI with consequential decisions is already gone — today's buyers have spent their adult lives doing complicated things online. The technology curve is compressed: almost none of what looks like a real threat to agents existed three or four years ago, and it's advancing every few months, not years. Bryan's call: real, visible change inside the next five years, with the leading edge already visible in the next two to three. What To Do About It Agents: stop treating analytical work as where your value lives, start using AI tools in your actual daily workflow now, and invest in judgment and relationship skills. Agency leaders: stop staffing to today's agent-to-book ratio, and shift training budget toward critical thinking and complex-case skills. Carriers: production is decoupling from agent headcount. Give appointed agents real AI tools or lose them to carriers who do. Free White Paper: The full argument, including the complete demand-versus-supply reframe and the mechanics of Empowered Expertise and Market Expansion, is laid out in Bryan's new white paper, The Future of Agents & AI, free to download at future-of-insurance.com/agents. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Mike Zukerman, President & CEO, CSAA Insurance Group 01.09.2026 47мин

  Episode Detail When wildfire risk pushed many insurers to retreat from the California homeowners market altogether, CSAA Insurance Group chose a different path: reward the homes that actually harden against fire with a three-year rate guarantee and a discount of up to 30 percent, and keep writing business through it. In this conversation, Mike Zukerman, President and CEO of CSAA Insurance Group, joins Bryan Falchuk to talk about what that choice has actually looked like inside a company that insures around 600,000 California homes, why he believes a healthy, competitive insurance market serves customers better than any single carrier cornering it, and how CSAA is using AI to give its claims and customer service teams more room for empathy rather than replacing them. They also get into what it takes to hold a culture together across a workforce that is 97 percent remote, and why Zukerman thinks the basics of caring about a customer, even when the answer is no, still decide who wins a soft market. Every choice Zukerman describes here, the underwriting, the AI, the culture, comes down to the same discipline: doing the harder, more proactive thing on purpose instead of waiting for a crisis to force it. Guest Bio Mike Zukerman is President and CEO of CSAA Insurance Group, a AAA insurer serving members across 23 states and Washington, D.C. He was appointed to the role in May 2024 after serving as interim CEO since August 2023, succeeding Tom Troy. Zukerman joined CSAA Insurance Group in 2011 as Chief Legal Officer, a role he held for roughly twelve years, and also served as the company's acting Chief Operating Officer in 2014. Before joining CSAA, he spent about two decades in technology and legal leadership roles, including at GeoVera Holdings, Critical Path, Sega, and Netopia. He holds a law degree from American University and a bachelor's degree from UC Berkeley, where he has also guest-lectured at the Haas School of Business on law and entrepreneurship. He was named 2017 Corporate Counsel of the Year by the San Francisco Business Times. Zukerman serves on the boards of the American Property Casualty Insurance Association (APCIA), the Bay Area Council, and Keep Tahoe Blue. Show Notes: Wildfire Risk: Rewarding Home Hardening, Not Retreating From It: CSAA guarantees at least three years of coverage, plus a discount of up to 30 percent, for any home that meets the IBHS Wildfire Prepared Home standard. Zukerman says CSAA has non-renewed at most about 2 percent of its book, even as other carriers stopped writing new homeowners business in parts of California entirely. Despite the state's reputation, Zukerman cites a LendingTree study ranking California the eighth-cheapest state for homeowners insurance, behind Oklahoma, Nebraska, and Colorado. Zukerman wants more competitors back in California, not fewer: a robust, competitive market serves customers and the state better than any single carrier absorbing all the risk. AI as a Force Multiplier for Empathy, Not a Replacement for People: CSAA remains a high-touch business by design: callers reach people in the US, even as some competitors move claims intake to agentic AI. AI now listens in on claims calls and generates the summary, freeing the person on the phone to focus on the customer instead of scrambling to document everything, and it can catch details, like a passing mention of back pain, that a stressed human might miss. Zukerman compares the shift to the arrival of ATMs: bank tellers didn't disappear, they were up-leveled to more judgment-based work, and he expects claims and customer service roles to follow the same path. He expects most carriers to lean on agentic AI by default within three to five years, but says CSAA will give customers the choice between a human and AI rather than force one. Culture and Distributed Work: Humility, Not Proximity: About 97 percent of CSAA's roughly 4,000 employees work remotely, split between roughly 3,000 call center staff and 1,000 knowledge workers in underwriting, finance, and legal. Zukerman keeps the leadership team meeting every two weeks, in person once a month, backed by what he calls close to zero real constraint on the travel budget for teams to get together. He's built the culture intentionally around humility: people feeling safe enough to say "I don't know" or ask for help out loud, which he calls flattering rather than a weakness. CSAA runs 14 employee-led culture groups and regular volunteer programs, and recently opened a new office in Phoenix, where the company now employs more people than it does in California. Customer Delight in a Softening Market: Zukerman points to a record: 54 percent of auto insurance customers shopped for a new policy last year, and he expects retention, not new acquisition, to be the growth lever in the soft market ahead. He argues delight doesn't always mean solving the problem: even when CSAA can't waive a deductible or has to deny part of a claim, the outcome that keeps a customer loyal is feeling like the person on the phone actually cared. He makes the point through an unlikely source: a maddening call with his cable provider that never solved his problem but still left him feeling genuinely cared for. Career, Liberal Arts, and Learning How to Think: Zukerman spent the first half of his career in technology and law before joining CSAA Insurance Group in 2011 as Chief Legal Officer. He points to Nvidia CEO Jensen Huang's advice to study liberal arts, and says he gave his own kids the same counsel: use college to learn how to think before specializing. He compares AI's disruption to the arrival of the light bulb, noting that new tools have repeatedly reshaped which skills matter without eliminating the need for judgment. Prior Guests from CSAA Insurance Group Ryan Vigus, EVP, Personal Lines Product Management Laurna Castillo, SVP, State Product Management Debbie Brackeen, Chief Innovation & Corporate Development Officer This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Kim Garland, Insurance Industry Veteran 25.08.2026 29мин

  Episode Detail Insurance carriers have quietly lived with a roughly $50 billion problem for years: a level of fraud baked so thoroughly into homeowners and personal auto pricing that the industry simply calls it the cost of doing business. In this episode, Bryan Falchuk sits down with Kim Garland, Industry Executive & Advisor, to size that number for real and ask why an industry built to manage risk has been so slow to manage this one. Garland spent more than three decades inside carriers, from GEICO and Safeco to AIG and State Auto, before stepping outside day-to-day operations to advise the industry from a different vantage point. He and Bryan dig into the difference between the old fraud-verification playbook and a newer approach built around trust and behavioral signals, why homeowners insurance can't keep leaning on rate increases the way personal auto has, and what it actually takes for carrier leadership to stop treating a solvable problem as background noise. The takeaway: unlike the weather, this is a lever the industry can actually pull, if it decides to. Guest Bio Kim Garland is an insurance industry executive and advisor with more than 35 years of experience across carriers, product management, and actuarial leadership. He began his career at GEICO in 1988, then spent time at Safeco, where he ran the personal auto business until the company was acquired by Liberty Mutual in 2008. He joined AIG in the aftermath of the financial crisis, spending six years helping lead the recovery of its mortgage insurance business. In 2015, he joined State Auto, a regional carrier based in Columbus, Ohio, where he worked until State Auto was also acquired by Liberty Mutual. Since then, Garland has been advising startups and studying the industry from outside its day-to-day operations, bringing a perspective shaped by decades on the inside. Show Notes: The Industry Has Priced Fraud In — And Called It Normal: Garland estimates fraud costs the industry roughly $50 billion a year across homeowners and personal auto, close to 10% of premium. His view: most carriers quietly treat that number as a fixed cost rather than a solvable problem — what he calls one of the industry's "dirty little secrets." Honest policyholders absorb the difference every time a carrier accepts a baseline level of fraud and prices around it instead of fighting it. From Verification to Trust: A Different Paradigm: The old playbook asks a question, checks the answer against a database, and accepts that some fraud slips through anyway. Newer approaches look at behavioral signals, like how long an applicant hesitates before answering a material question, or a voice-based assessment of trustworthiness, such as the approach used by Clearspeed. Garland is careful to separate ordinary rate-shopping behavior, like comparing deductibles or coverage limits, from genuine red flags, like a garaging address that suddenly doesn't match reality. Trust Is Situational, Not a Life Sentence: Today's tools assess trustworthiness in a specific interaction, not as a permanent label on a customer. Garland argues that framing matters: someone flagged in one moment isn't branded across every future interaction with the carrier. Why Homeowners Can't Keep Leaning on Rate Increases: Garland sees personal auto and homeowners on different trajectories. Autonomous driving technology is a macro trend that should push auto losses, and eventually premiums, down over time. Homeowners insurance has no equivalent tailwind. If rate increases keep outpacing wage growth and general inflation, he expects consumers or regulators to eventually push back. His view: when the rate-increase lever stops working, carriers are left with three choices — run at a loss, pull back from the market, or actually attack the underlying cost drivers. What It Actually Takes to Change: Carrier Attitude, New Tools, Regulatory Room: Garland lays out three levers: a genuine change in carrier mindset, which he believes has to be driven from the CEO and C-suite, better trust-based tools, and regulators giving carriers room to push back on bad-faith complaints. He argues progress on any one of the three levers moves the needle, even without all three moving at once. In his view, the core obstacle is organizational inertia — discomfort with pushing back on a customer complaint, a regulator, or a dip in survey scores, more than any shortage of technology or options. Predict and Prevent Has Potential, But Human Behavior Is the Real Barrier: Garland thinks preventing losses before they happen, not just detecting fraud after the fact, has real legs, particularly for closing the openings fraudulent contractors exploit after a loss. He compares the challenge to getting people to save for retirement or exercise consistently: the payoff is real, but delayed, which makes it a hard behavior to change. He credits the startups working in this space, while noting that inertia, not a lack of good ideas, remains the biggest obstacle. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance - Graeme Dean, Founder, Hotspot Cover & Trigger Parametric 18.08.2026 28мин

  Episode Detail Travel insurance has long relied on a government advisory as a clean, defensible line between insurable and not: when the advisory says don't go, coverage steps back. It's a structure that works well when conflict stays contained and advisories track it closely. This year's conflict in the Gulf tested that model in real time, as the advisory stayed in place well after the fighting eased, leaving businesses and travelers who still needed to operate there without a clear path to cover. Graeme Dean built Hotspot Cover to close gaps like that one, insuring individuals and organizations who still need to operate, travel, and respond in conflict zones and other high-risk regions around the world. He later founded a second business, Trigger Parametric, applying the same full-stack, specialist model to parametric weather, Nat CAT, and commodity risk. Bryan Falchuk talks with Graeme about why the underwriting appetite for this kind of risk already exists inside the Lloyd's market, what actually needed reinventing to serve it at speed, and what it took to build a Guernsey-based captive and direct Lloyd's reinsurance access fast enough to keep pace with how quickly real risk changes. Guest Bio Graeme Dean is an Australian InsurTech veteran based in the UK. He spent roughly a decade building embedded InsurTech Cover Genius, leading its global insurance solutions team, before founding Hotspot Cover, a specialist insurer for organizations and individuals operating in conflict zones and other high-risk regions worldwide. He also founded Trigger Parametric, a full-stack parametric risk transfer business covering weather, natural catastrophe, and commodity risk globally through its own reinsurance vehicle. Earlier in his career, Graeme led the accident & health division at Allianz and held roles at AIG, 1Cover Travel Insurance, and Dream Wedding Insurance. He holds a degree from Heriot-Watt University and advises multiple InsurTech startups. Show Notes: Why the Advisory Trigger Struggled to Keep Up: The clean trigger: Travel insurance has long used the government advisory as a defensible line for when a destination becomes too risky to cover. Built for contained conflict: That structure works well when the advisory tracks the conflict closely and the conflict itself stays contained. The Gulf test: When missile strikes hit the Gulf earlier this year, the advisory stayed in place well after the fighting eased. A design question, not a blind spot: Graeme sees the lag as a governance and product design question worth rethinking, not a sign the industry wasn't paying attention. Delivery Is the Bottleneck, Not Underwriting Appetite: The capacity already exists: Lloyd's specialty syndicates have covered war-zone and Kidnap & Ransom risk for decades, including in Iraq and Afghanistan. The real constraint: What Hotspot Cover set out to fix is how slow, expensive, and structurally unsuited the traditional London market is to short-notice, high-velocity business. The fix: A Guernsey-based captive reinsuring into Lloyd's, giving Graeme's team control over policy design and speed of issuance. Two Channels, Not One Embedded Product: Not embedded: Hotspot Cover doesn't sell through a single checkout flow the way mainstream travel insurers do. Direct platform: A dedicated site for short-term, last-minute high-risk trips, built on its own underwriting matrix. Gap-country layer: A supplemental coverage layer for corporates and groups whose standard business travel policy leaves out certain high-risk countries. Trigger Parametric: The Same Model, Applied to Parametric Risk: Where it came from: Access to A-rated reinsurance capacity through Hotspot Cover opened Graeme's eyes to a similar gap in parametric risk. The gap: Local insurers and brokers in developing markets often have the regulatory relationships but not the actuarial and data science expertise to price parametric risk themselves. What Trigger provides: Structuring, pricing, and capital access across weather, Nat CAT, and commodity risk globally, not just a brokerage pass-through. Earning Trust as a Challenger: The competition: Hotspot Cover competes for attention against household names like Chubb and the Lloyd's brand itself. The playbook: Win a client's hardest "problem child" countries first, then expand into their full global program once trust is built. Trigger's different hurdle: Broker and buyer skepticism about parametric structures, including basis risk concerns and comparisons to gambling. The fix: Let clients test the structure on a small slice of exposure, often around 10%, before scaling it up. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Simon Wilson, CEO, Markel Insurance 11.08.2026 37мин

  Episode Detail Season 9 of The Future of Insurance opens with a conversation about what happens when a $10 billion specialty insurer decides its own scale isn't a reason to move slowly. Bryan Falchuk talks with Simon Wilson, CEO of Markel Insurance, about his vision for the specialty market through 2030, and the deliberate choice to ask his teams to double their businesses in five years rather than chase another few points of incremental growth. The conversation moves into how that same mindset shows up in Markel's approach to AI: not bolting tools onto individual tasks, but rebuilding entire underwriting processes end to end — from a brand-new AI-native business built and launched in twelve weeks, to a legal document review process that now runs in minutes instead of weeks, to a grassroots fund that hands frontline employees real budget and real autonomy to solve the problems they see every day. An organization doesn't need to be small or newly founded to reimagine itself. It needs leaders willing to ask a bigger question. Guest Bio Simon Wilson is CEO of Markel Insurance, appointed in March 2025 to lead Markel Group's three primary underwriting businesses — Markel Specialty, Markel International, and Markel Global Reinsurance. He was also named an Executive Vice President of Markel Group in February 2026, reporting to Group CEO Tom Gayner. Wilson joined Markel in 2010 to lead international business development and became the primary architect of Markel International's expansion beyond London, scaling operations across Europe, Canada, and Asia to $2.5 billion in annual gross written premium. He was appointed Managing Executive of Global Strategy for Markel in January 2020, then President of Markel International in 2021, a role in which the division grew gross written premiums by nearly 40% and net underwriting profit by more than 250%. Before joining Markel, he led the Lloyd's Asia platform in Singapore, and spent seven years at Lloyd's prior to that. He has more than 20 years of experience scaling large specialty insurance organizations. Show Notes: The Doubling Question: Markel writes roughly $10 billion of the $700 billion global specialty insurance market — Wilson's read: that's room to grow, not a ceiling. Instead of asking a business leader to grow 5-6%, Wilson asks how they'd double the business in five years, a question designed to surface bigger ideas rather than incremental optimization. New categories are expanding the specialty pool itself: data center risk, satellite and space exposure, and marine war coverage in the Persian Gulf are all recent, fast-growing additions. Guardrail on growth: "Top line is vanity, bottom line is sanity." The doubling mindset is paired with underwriting discipline, not a trade against it. Specialty Insurance's Moment: Wilson draws a parallel to media: just as audiences moved from four TV channels to infinite, personalized content, commercial insureds increasingly want coverage built around their specific risk rather than a generic product. He's candid about a unique challenge: people don't want to buy insurance and don't want to use it, which puts pressure on specialty insurers to earn the sale. Rebuilding AI End to End, Not Task by Task: Markel Insurance is now organized into 14 business units (roughly 60 specialisms), each with a single accountable leader charged with reimagining their product and process around AI. Wilson's caution against partial AI adoption: applying it to only one step of a process without rethinking the whole thing creates a bottleneck, "like putting a rocket jet on the back of a bicycle." Cortex, a new AI-native business built end-to-end on Claude with a pricing engine called Hyperexponential, was built in 12 weeks and targets difficult-to-place US casualty risk. Markel's Warranties & Indemnities team in London used the legal AI model Harvey to cut the time to reach a decision-ready view on an M&A data room from about a month to roughly seven minutes, with accuracy Wilson estimates at 97%, a five-point improvement in underwriting pick, and premium in that line more than doubling over the past year. Guardrails, Culture, and Reverse Mentoring: Every large language model Markel staff use runs inside Markel's own environment so company data doesn't leave the firewall — inside that boundary, teams have wide latitude to experiment. Markel's Accelerator Fund put $1 million behind ten employee-pitched AI ideas, built out in six weeks; Wilson expects more than $10 million in returns from that investment in its first year. Wilson credits reverse mentoring — biweekly sessions with a junior colleague — with reshaping how he personally thinks about AI and how the next generation approaches problem-solving. AI as an Equalizer for Small, Specialized Businesses: Wilson argues AI has democratized technology for niche specialty lines that were previously too small to justify major core-system investment, moving technology decisions closer to the underwriters who understand the customer. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Chris Tunnecliff, Insurance Technology Leader 26.05.2026 31мин

  Episode Info Chris is a business-facing CIO and CTO level technology leader with over 10 years in London Market environments and 25+ years across insurance. He is typically brought in to reset technology functions, lead complex regulated transformation, and help businesses use data, automation and AI to improve control, decision making and pace of delivery. His experience spans carriers, syndicates, delegated operations, underwriting, claims and claims services, combining cloud and infrastructure oversight, architecture governance, modern engineering and operating model change. Chris has held executive roles at Ki Insurance, Crawford & Company, Hiscox, QIC and Capco, where he has built and reshaped technology functions, modernised core systems, led carve outs and integrations, and improved resilience, insight and execution across multi-country operations. He is strongest in high pressure environments that require commercial grip, disciplined delivery and visible executive leadership, helping businesses apply AI with purpose to simplify operations, strengthen performance and move technology teams forward. Episode Overview: Data & Customer Experience: The ongoing need for better data is being addressed by AI, enabling more personalized customer experiences that cater to different needs and preferences. AI's Practical Applications: AI is being used for advanced data analysis, claim modeling, and improving underwriting accuracy. It assists in processing information faster, enhancing efficiency in areas like claims. AI can work with legacy systems, offering capabilities without immediate costly overhauls. Human-AI Collaboration: AI is seen as a tool to augment human capabilities, not replace them. It aims to reduce mundane tasks, allowing humans to focus on complex issues, empathy, and innovation. The "human in the loop" is still considered vital for oversight and decision-making. Responsible Adoption: Implementing AI requires a strategic, responsible approach that considers the workforce, fosters a positive culture, and drives genuine operational improvements rather than just surface-level changes. Democratizing Technology: AI tools have the potential to benefit businesses of all sizes, including niche and specialized insurers, by enabling custom application development and process optimization. The Road Ahead: While challenges exist, the focus is on embracing AI's potential to create new opportunities, improve productivity, and ensure the industry remains relevant and innovative. The key is a proactive and adaptive mindset. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Jason Cass, Leading Voice amongst Independent Insurance Agents 19.05.2026 35мин

  Episode Info Jason Cass is the co-owner of The Insurance Alliance, co-owner of Virtual Intelligence, founder of Agency Intelligence, and one of the most recognized voices in the independent insurance industry. A veteran agency owner, speaker, and podcaster, he built a profitable three-location agency that runs both virtually and digitally. He was named Illinois Young Agent of the Year in 2005, served as Chairman of the National Young Agents Council from 2011 to 2013, and authored Customer Service is Just Foreplay in 2013. His newest book, Future Ready: The Strategic Case for Structure, Routing, and Scale, co-authored with Mitch Gibson, lays out how independent agencies must evolve in the age of AI and automation. Jason hosts the Agent's Influence and Agency Intelligence podcast series and continues to be a leading advocate for independent agents across the country. Episode Overview: This episode of The Future of Insurance features Jason Cass, a prominent voice in the independent insurance agent channel, as he discusses the transformative impact of AI on the industry. Cass, who has been in the insurance industry since 2002 and owns multiple companies, shares his insights on how AI, particularly "agentic AI," is poised to reshape the role of agents and brokers. Key Takeaways: AI as a Disruptor and Enabler: Cass emphasizes that while AI won't eliminate agents, it will fundamentally change how they operate. He draws parallels to past technological shifts like the internet, noting that while agents feared obsolescence, the channel adapted and evolved. AI, however, presents a more significant shift. Efficiency and Cost Reduction: AI's primary impact will be on operational efficiency, significantly reducing the cost of labor within agencies. Cass predicts that within two to three years, agencies adopting AI could see their people costs drop from 55-65% of revenue to 20-30%. This translates to substantial savings, enabling agencies to reinvest or grow. The Evolving Workforce: The adoption of AI will lead to a shift in agency staffing. While immediate layoffs are unlikely, there will be a transition. Smart agencies will retrain existing staff, focusing on tasks that AI cannot perform. The "swing efficiency score" will be crucial in measuring this transition. Shift in Licensed vs. Virtual Roles: Cass forecasts a significant change in the makeup of agency staff. Agentic bots, costing around $3,000-$5,000 annually, will replace some licensed roles that currently command salaries of $80,000+. Agencies will likely hire more virtual employees at lower costs to manage these bots, leading to a reduction in the number of highly paid, licensed individuals within an agency. Regulatory and Licensing Considerations: The question of whether AI can be licensed as an agent is a complex one. Cass believes that currently, AI cannot be licensed, and there are significant regulatory hurdles to overcome. He speculates that this may evolve in the future but emphasizes the current need for licensed human oversight. Opportunities Created by AI: Beyond cost savings, AI opens up new avenues for growth. Cass highlights the potential for AI to help agents better understand risk quality, align clients with the right markets, and navigate the complexities of policy forms and carrier appetites. The emergence of AI itself is also creating a need for new insurance coverages, similar to the rise of cyber insurance. The Importance of Adoption and Education: Cass stresses that agents who embrace AI will thrive, while those who resist will be left behind. He advocates for education and training within agencies to help staff become comfortable with AI tools like Claude. The "Artificial Intelligence Utilization Score" (AIU) will become a key metric for success. The Role of Carriers and Technology Providers: Carriers need to adapt by developing their own AI solutions and partnering with agents to facilitate AI adoption. Technology providers must focus on creating practical, integrated solutions that solve real agency problems, such as routing engines that effectively manage the workflow between humans and AI. Beyond Fear: Embracing the Future: Cass acknowledges the fear surrounding AI but encourages a proactive approach. He believes that embracing AI will lead to greater job satisfaction, improved client service, and a more robust and attractive insurance industry overall. The key is to focus on the opportunities and develop a culture of adaptation. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Meg McKeen, Host of Bound & Determined 12.05.2026 39мин

  Episode Info Celebrating her 26th year in the insurance industry, Meg McKeen, CIC, founded Adjunct Advisors LLC in 2018 with the essential belief that we can do more, and better, to support the professionals who choose a career here. Throughout her own career, working as an underwriter, agent, and leader within the industry, Meg has held a seat at the table during thousands of insurance negotiations. As an independent consultant, Meg now holds space at the crossroads of personal and professional development, for individuals and organizations as they grow their sales and leadership acumen through private coaching, consulting engagements, and the podcast she hosts, Bound & Determined℠. Known for her relatability and storytelling, Meg is a sought after speaker for insurance related conferences and events, as well as a regular columnist for Rough Notes magazine, and Meg's contributions to the insurance industry have been recognized with her inclusion in Insurance Business America's Hot 100 and Elite Women for 2021. A graduate of Illinois Wesleyan University, Meg is currently a digital nomad in the midst of a thoughtful travel adventure. When she's not supporting insurance professionals, you can find Meg putting the "practice" into yoga practice, searching for the best vegan bakery, or cheering on her favorite independent musicians. Learn more at www.adjunctadvisors.com. Episode Overview: Meg's Industry Journey: From 26 years in insurance, including a pivotal moment of burnout and transition, to founding Bound & Determined. The "Bound & Determined" Podcast: Its genesis, purpose to support women in insurance by discussing life beyond the industry, and its evolution into live events and retreats. Culture and Connection: The significance of authentic connection and community in professional and personal life, contrasting with corporate environments that can stifle open dialogue. Personal Evolution and Success: How personal growth and changing definitions of success shape our professional paths and the importance of honoring that evolution. Navigating Change: Strategies for individuals seeking more intentionality and freedom in their careers, even when bound by traditional structures. The Human Element in Business: Emphasizing that despite technological advancements like AI, human connection and emotional well-being are paramount for organizational success. The Nomad Lifestyle: Meg's experience with a mobile lifestyle and how it has unlocked business opportunities and facilitated personal experiences. Advice for Creating Change: Practical steps for embracing curiosity, setting boundaries, seeking supportive communities, and prioritizing action over perfection when launching new ventures. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Scott White, Virginia Commissioner of Insurance; President, NAIC 05.05.2026 27мин

  Episode Info Scott A. White was appointed Commissioner of the Virginia State Corporation Commission's Bureau of Insurance in 2018. He was elected NAIC President in December 2025. White joined the Bureau as a research analyst in 1998. From 1999 until 2011, he worked as an attorney advising the Bureau on all major insurance regulatory and compliance matters. In 2011 he became head of the Commission's financial services legal division, expanding his practice areas to include securities and banking. At the NAIC, White has chaired the Financial Condition (E) Committee, the Long-Term Care Insurance (EX) Task Force, and the Southeast Zone. He is a member of the International Association of Insurance Supervisors (IAIS) Executive Committee, Macroprudential Committee, and Insurance Capital Standard Task Force. White earned a Bachelor of Arts degree from the University of Virginia and a law degree from the University of Missouri. He and his wife, Jodi, have two grown daughters. Episode Overview: Key Issues in Virginia: Affordability and Availability: While Virginia generally has good market availability, the state is addressing rising premiums and legislative interest in healthcare and property insurance. Natural Catastrophes: The discussion touches on the impact of weather-related events, with a focus on windstorms, hurricanes, and the often-overlooked risk of flooding. Risk Mitigation Programs: Virginia is exploring programs to incentivize hardening homes against perils like severe convective storms, including hail and wind. Litigation and Tort Reform: The conversation addresses the impact of litigation activity on insurance rates and the legislative considerations surrounding tort reform. The National Conversation on AI: Industry Adoption: Commissioner White observes that the insurance industry often lags in adopting new technologies like AI, partly due to its inherent risk aversion and the paramount importance of trust. Consumer Concerns: A significant concern is the potential for AI to be perceived as making critical decisions about healthcare authorization, leading to a growing distrust among consumers. NAIC's Approach: The NAIC has adopted an iterative approach, starting with principles and moving to guidance through an AI bulletin. Their focus is on compliance, transparency, accountability, and safe systems. AI Systems Evaluation Tool: The NAIC is piloting a tool to help state insurance departments assess how companies are using AI, focusing on governance and risk management. This aims to identify potential gaps in current laws. Bias in AI: The discussion highlights the concerns around algorithmic bias and proxy discrimination, while also acknowledging that bias exists in current, non-AI-driven processes. The importance of data protection and operational resiliency against cyber threats is also emphasized. The Future of Market Regulation: Modernization Efforts: The NAIC is undertaking an ambitious "Future of Market Regulation" initiative to modernize its approach, recognizing that market regulation has not progressed as rapidly as financial solvency regulation. Real-Time Surveillance: The goal is to move towards more real-time surveillance of companies, leveraging enhanced data and analysis, rather than relying solely on lengthy, complaint-driven examinations. Training and Resources: There is a recognized need for regulators to develop new skills and obtain adequate training to effectively oversee AI and other emerging technologies. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Craig Weber, Head of Insurance Strategy, Cognizant 28.04.2026 33мин

  Episode Info Craig Weber is a thought leader and management consultant with extensive insurance specialization, having worked for a major carrier and then leading an analyst firm. At Cognizant, he leads a team responsible for the firm's insurance strategy and bringing its portfolio of insurance offerings to the market. Episode Overview: AI is at a critical inflection point, poised to profoundly transform the insurance industry. While carriers are at varying stages of adoption, a key challenge is scaling AI from pilots to production. Key Areas of Focus: Data Utilization: AI needs proprietary data to unlock its full potential, necessitating robust data protection strategies. Distribution Enhancement: AI can automate agent administrative tasks, boosting productivity and addressing talent shortages, rather than solely displacing agents. Customer Experience: AI can streamline services, but must be balanced with human empathy, especially for complex issues. Customer comfort with AI is growing, influenced by their insurance knowledge. Future Strategy: A proactive "AI builder strategy" is crucial. Insurers should focus on developing skills and adapting to the rapid, self-reinforcing evolution of AI. AI represents a fundamental shift, not just an efficiency play. Proactive investment and adaptation are essential to navigate this "innovation arms race" and remake the insurance landscape. The conversation concluded by stressing the importance of a collaborative, monitored approach to AI implementation, ensuring it serves to enhance both efficiency and the human element in the insurance claims process. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Joe Zuk, Operating Partner, Altamont Capital 21.04.2026 35мин

  Episode Info Joe Zuk is an Operating Partner for Altamont Capital Partners, bringing a dedicated focus to corporate and business development across existing ACP portfolio companies within the Property & Casualty insurance vertical. Most recently, Joe served as Managing Director of Corporate Development & Strategy for Orchid Underwriters, a private equity-backed catastrophic personal and commercial lines property managing general underwriter. During his tenure he successfully executed upon the stated strategy for the firm including formation and launch of a proprietary segregated cell captive reinsurance facility, sourcing additional carrier partners, development of operational strategy, recruitment of human capital, and sourcing of M&A opportunities. Prior to Orchid, Joe served as Board Manager at Atlas General Holdings. At Atlas, he led the organic development and growth of Atlas's commercial property & casualty divisions as well as directing its corporate development initiatives. Prior to Atlas, Joe was an accomplished reinsurance broker and underwriter with over a decade of experience in treaty and facultative property and casualty reinsurance. During that time, he developed an extensive network of relationships across the industry landscape in both domestic and international markets. Joe is a graduate of New York University, earning a Bachelor of Arts with concentrations in finance, history and cinema. Joe enjoys dedicating his time to mentoring and encouraging young professionals to enter and advance within the broader insurance industry. Episode Overview: Talent Shortage: The industry faces an aging workforce and difficulty attracting new talent, impacting core functions like claims and underwriting. Solutions involve structured knowledge transfer and mentorship. AI Transformation: AI is not replacing jobs but changing them. It offers tools to enhance efficiency, improve risk assessment, and personalize customer interactions. Evolving Distribution: AI may automate simpler insurance sales, shifting the focus for human agents towards complex advisory roles. Navigating Risks: While AI offers significant benefits, challenges like inaccuracies and potential liability must be managed. The insurance sector is adapting, emphasizing the need for continuous learning and strategic adoption of new technologies. The conversation concluded by stressing the importance of a collaborative, monitored approach to AI implementation, ensuring it serves to enhance both efficiency and the human element in the insurance claims process. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance Panel on AI & Claims at PLRB 2026 14.04.2026 29мин

  Episode Info How is AI shaping the future of claims, and even the present of it? Join Bryan Falchuk as he hosts a panel featuring audience questions on the dynamics and technology shaping where insurance is headed. The panel includes: Sadiq Isu, Founder & CEO, All Talentz LLC Kevin Meyer, Managing Director, PropertyExpert Shane Emmons, Founder & CEO, Swept AI This discussion explores the evolving landscape of insurance claims, focusing on the integration of Artificial Intelligence (AI) with human expertise. The conversation highlights the critical need for a balanced approach, the inherent challenges of AI, and the strategic considerations for its implementation. This discussion was recorded live on March 24th at the 2026 PLRB Claims Conference at the Gaylord National Harbor Hotel in Washington DC, and was held right after the panelists shared this views on how things like AI are changing the ways claims can be handled – not just in the future, but right now. Episode Overview: The AI-Human Dichotomy: The presentations emphasized a common thread: the necessity of overseeing both AI and human actions within the claims process. The concept of "eyes on you" applies to both AI and human agents, ensuring accountability and adherence to procedures. AI as a Tool – Strengths and Weaknesses: AI can be applied across various settings and languages to handle claims, but requires careful management. The quality of data fed into AI directly dictates the quality of its output, mirroring human learning. Concerns around "drift" (AI deviating from its intended path) and "heresy" (AI holding onto incorrect information) were raised. Empowering Human Adjusters: A significant focus was on how AI can empower humans, rather than replace them, by handling routine tasks. This allows experienced professionals to concentrate on complex cases and the empathetic aspects of claims handling. Agentic AI: Potential and Peril: Agentic AI, capable of independent action, is still viewed with caution, especially in emotionally charged claims scenarios. The emotional impact of claims on policyholders necessitates human interaction and empathy, areas where current AI may fall short. While agentic AI is being deployed for specific tasks (e.g., document analysis, payment processing), its use in direct customer interaction is debated. Mitigating Risks and Ensuring Compliance: The importance of internal and external compliance remains paramount, with AI needing robust monitoring. The potential for class-action lawsuits stemming from AI-driven coverage decisions highlights the need for defensible AI models and careful prompt engineering. Addressing Industry Challenges: The discussion touched on staffing shortages and how AI can help, but also warned against creating future problems by reducing entry-level training opportunities. The need to train experts effectively, without relying solely on years of less engaging tasks, was emphasized. Emerging Trends and Observations: Active Pilots: Agentic AI is being piloted in areas like commercial insurance for coverage determinations and in managing long-running claims by summarizing information. Policyholder Trust: In some instances, policyholders are interacting with agentic AI systems from restoration companies, viewing them as more trustworthy than traditional insurance processes. The "Gap" in Expertise: The industry faces a challenge in developing skilled professionals, and AI's role in training needs careful consideration to avoid widening this gap. Legal Scrutiny: The legal implications of AI in decision-making are significant, with a need to understand model underpinnings and ensure unbiased outcomes. The conversation concluded by stressing the importance of a collaborative, monitored approach to AI implementation, ensuring it serves to enhance both efficiency and the human element in the insurance claims process. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Kyle Nakatsuji, Founder & CEO, Dearborn Labs 07.04.2026 28мин

  Episode Info Kyle Nakatsuji is the Founder and CEO of Dearborn Labs and Clearcover. He joined the show during Season 1 to talk about Clearcover (which is the subject of one of the case studies in The Future of Insurance – Volume II. The Startups). He rejoins the show to share about their latest venture, Dearborn Labs. Here is the detail on the launch of Dearborn Labs from their press release: Clearcover, Inc. Launches Dearborn Labs to Deploy Production AI Inside Carriers and MGAs  Backed by nearly a decade of proven results, the firm's AI concierge model designs, builds and deploys customized AI infrastructure into insurers' existing operations to eliminate fragmented pilots  CHICAGO, March 5, 2026 — Clearcover, an AI-native auto insurance carrier, today announces the launch of Dearborn Labs, a forward-deployed AI practice that builds and operates AI systems inside property and casualty insurance carriers and MGAs.  "Most carriers have already invested in AI. The problem isn't the tools," said Dearborn Labs Founder Kyle Nakatsuji. "It's that the landscape changes faster than any single solution can keep up with, and nobody's connecting the data and context across operations to make those tools compound. That's not a software problem. It's an operating problem."  Unlike traditional SaaS, Dearborn Labs adds an operational layer to customize AI within a company's unique model, driving measurable business outcomes.  "We don't hand over a strategy deck. We deploy into your operation and ship production systems in weeks," said Nakatsuji, adding that modern insurers need to turn isolated AI capabilities into a growth engine. "Your claims data should make your underwriting smarter. Your underwriting context should shape your distribution. We build the infrastructure that makes that happen."  While the insurance industry has invested heavily in AI, most carriers and MGAs have not yet seen system-level returns.  Nakatsuji's team at Clearcover integrated AI into nearly every core function of daily production across multiple states and significantly improved results: Over 90% of claims intake runs through AI agents, 93% of policies are bound digitally and claims handling operates at three times the efficiency of traditional carriers. Episode Overview: Clearcover's Tech Foundation: Built on a decade of tech innovation for better customer experiences and efficiency in insurance. Dearborn Labs' Mission: A new venture focused on helping insurers adopt AI, offering a hybrid service and technology approach. Urgency of AI Adoption: The current AI advancements necessitate immediate action; waiting means falling behind. Beyond Off-the-Shelf Solutions: Dearborn Labs focuses on tailored AI strategies and team deployment, not just software sales. The Critical Data Layer: Effective AI requires a unified data foundation to provide context across all business functions. Incremental Steps, Exponential Gains: While the industry is incremental, AI allows for rapid progress and significant results. AI as "Employees": AI agents can act as specialized "staff," drastically changing operational efficiency and economics. Future Uncertainty, Present Action: The pace of AI change is unprecedented, making immediate engagement crucial for future relevance. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Megan Linkin, Head of Parametric Nat Cat Americas, Swiss Re Corporate Solutions 31.03.2026 23мин

  Episode Info Dr. Megan Linkin is the Head of Parametric Nat Cat Americas for Swiss Re Corporate Solutions, based in New York City.   She has extensive expertise in parametric and structured insurance and reinsurance solutions.  Megan's primary responsibility is the origination, development, structuring and underwriting of parametric insurance solutions that protect corporates and governments against losses incurred due to natural catastrophes or other disruptive events. Before joining CorSo in 2019, Megan worked for Swiss Re's Public Sector Solutions team, focusing on the development of insurance products to address the unique financial needs of public sector entities, from federal governments to municipal service providers. Prior to re-joining Swiss Re in 2012, she worked as a weather derivative underwriter and catastrophe bond analyst at Allianz Risk Transfer, structuring weather solutions for the energy, agricultural and tourism industries. Between 2008 and 2011, she was an atmospheric perils specialist for the Swiss Re Cat Perils team; her responsibilities included assessing the insurance risk posed by hurricanes, tornadoes, hail and winter storms globally and developing pricing tools and techniques for underwriters, actuaries and insurance-linked security traders.    Megan has designed several award-winning parametric insurance solutions, such as Swiss Re STORM, awarded the Business Insurance Insurtech Initiative of the Year in 2020, and Swiss Re HAIL, awarded the Business Insurance Innovation Award in 2021, and Inside P&C's Underwriting Initiative of the Year in 2022. She is one of Swiss Re's experts on climate change science, natural catastrophes and the innovative insurance solutions that exist to address them.  Megan has given invited presentations to the state of New Jersey, the New York Academy of Science, Rutgers University, and the University of Maryland. Her manuscripts have been published in Climatic Change, the Journal of Climate and Weatherwise magazine; she has also authored publications that assess the present-day financial impacts of the 1821 Norfolk-Long Island hurricane and Hurricane Andrew.  Megan was profiled by the New York Times in 2010 and NJ Biz in 2013, and has been interviewed by NBC News, the New York Times, the Washington Post, the Wall Street Journal and Huffington Post.  She has testified before the United States Senate regarding the impacts of climate change on the insurance industry, and has appeared on The Weather Channel. Megan was named one of Reactions Rising Stars of the insurance industry in 2014.  Megan received her Ph.D. and Masters of Science in atmospheric and oceanic science from the University of Maryland and graduated magna cum laude from Rutgers University with a Bachelor of Science in meteorology and a minor in mathematics. She received her Certified Consulting Meteorologist Seal from the American Meteorological Society in February 2013. She is an active member of the American Meteorological Society, the American Geophysical Union and the New Jersey Climate Adaptation Alliance.  Episode Overview: Introduction to Parametric Insurance Parametric insurance is a type of index-based insurance where payouts are determined by the intensity of an event rather than the actual incurred loss. This pre-agreed value policy uses specific event metrics to trigger claims. Background and Evolution The concept of parametric insurance has roots in weather derivatives from the late 1990s. Initially focused on natural catastrophe risks like hurricanes, tornadoes, and hail, it has evolved significantly. Swiss Re, with its deep involvement in this space for over 15 years, has seen a shift towards insurance contracts rather than purely derivatives. Parametric Insurance for Governments and Corporations Parametric insurance has resonated with government buyers due to their role as first responders and insurers of last resort after natural disasters. It provides a mechanism to cover immediate costs like infrastructure repair and emergency responder salaries, which traditional policies often don't address. In the late 2010s, after significant hurricane activity, there was a surge in interest from the corporate sector, particularly in hospitality and heavy industry, highlighting the value of parametric solutions for business continuity. How Parametric Insurance Works as an Insurance Policy While distinct from traditional insurance, parametric policies function as insurance contracts. They require a proof of loss and include a broad definition of "ultimate net loss" to encompass direct or indirect, physical or financial losses traceable to the event. Clients attest that their incurred losses exceed the parametric payout, ensuring there's no windfall. The triggers are set to cover catastrophic and disruptive events, aligning with the core purpose of natural catastrophe insurance. Addressing Skepticism Initial skepticism often labels parametric insurance as gambling. However, modern parametric policies, developed with dedicated underwriters and product designers, work closely with clients to understand their historical losses and pain points. This ensures that triggers are set at intensities that allow clients to recover funds for actual losses, including business interruption and pre-event expenditures made for resilience. Expanding Perils and Future Growth While hurricanes and earthquakes are the most recognized perils for parametric insurance, the market is expanding: Severe Convective Storms: Parametric coverage is now available for hail and tornadoes, supported by data providers offering hail footprints and tornado track information. Flood: Addressing flood risk parametrically has been a challenge due to its various causes (nor'easters, hurricanes, rainfall, river flooding). However, advancements in satellite technology and data analytics are enabling parametric flood solutions. Emerging Areas: Concepts are being explored for other event types, potentially leveraging data on flight traffic, restaurant foot traffic, and hotel bookings to assess disruption. Key Requirements for Parametric Insurability For an event to be insurable on a parametric basis, it must meet three key criteria: Randomness: The event must be a random, external shock. Independent Data Provider: A reliable, independent entity must provide consistent data on event intensity or monitoring. Modelability: The probability of a given event intensity must be determinable, either through stochastic catastrophe models or long historical time series. Future Outlook and Holistic Risk Management Parametric insurance is seen as a vital tool for managing increasingly complex and interconnected global risks. It can complement traditional insurance to provide solutions for supply chain disruptions and contingent business interruption. The industry is encouraged to embrace innovation and develop new solutions to address evolving exposures. Parametric insurance is not an "either/or" solution but a valuable component of a holistic risk management strategy, enhancing client resilience when paired with traditional coverage. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – More Sales Advice with Bryan Falchuk 24.02.2026 15мин

  Episode Info On the back of getting some less-than-great sales outreach on LinkedIn, I thought it would be a great moment to share some more sales advice for startup founders and service or solution providers out there looking to sell into or partner with insurers. This is a follow up the episode I did in Season 7 on the subject, which you can check out at https://future-of-insurance.com/podcast/vendoradvice/.  I'll also be taking a few weeks off from posting new episodes of the show, which makes a great chance for you to catch up on the back catalogue of episodes from all 7.5 seasons (there are 190 episodes of this show so far!). Also, if you're interested in claims or the complexities of coverage discussed in a really entertaining and educational format, check out What's The Scenario from PLRB, available on PLRB's website (membership required), or free for anyone on all the top podcasting platforms and in video format on YouTube. Episode Overview: Key Principles: Industry Foundation: Insurance is a caring, people-driven industry. Genuine intent to help is crucial. Clarity Over Buzzwords: Avoid vague language and jargon ("next generation solutions," "AI"). Be specific about the problem you solve and your solution. Respect Time: Generic, time-wasting outreach is detrimental. Be upfront, honest, and clear. Authenticity Wins: Genuine, dedicated individuals who focus on solving real problems build impactful businesses. Relationship Driven: Success in insurance relies on trust and authentic connections. Actionable Advice for Sellers: Clearly state the problem you solve and your solution. Be direct and avoid unnecessary buzzwords. Communicate genuinely and respectfully. Understand your audience's needs. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Wayne Slavin, Co-Founder & CEO, SURE (Return Visit) 17.02.2026 43мин

  Episode Info Wayne Slavin is the CEO and Co-Founder of Sure, a VC backed insurtech startup. Prior to Sure he was the VP of Product Management at Tapingo, TechCrunch's Most Innovative Company of 2013. His other past projects and companies include NetStumbler, a consumer app with more than 1.5 billion downloads, the Barnes & Noble Nook eBook reader, Buddy Media (now part of salesforce), and BackupRight the enterprise SaaS company he sold in 2012. He has a Masters Degree from Columbia University. You can see Wayne from his appearance on the show in April of 2024 in the final episode of Season 5. Episode Overview: SURE's Role: SURE provides the technology infrastructure and services that enable large brands, including Fortune 500 companies and major auto manufacturers, to launch and manage their own digital insurance businesses. This allows these brands to control the customer experience and build long-term, durable insurance operations. Embedded Insurance: The trend of "embedded insurance" is driven by the fact that insurance is often a necessary component of a core product (like cars or homes) or can be a friction point in a sale. Companies are recognizing the value of offering insurance directly to their customers to enhance the overall experience and capture economic benefits. The "One-Stop-Shop" Vision: Many large consumer brands aim to be a comprehensive provider for their customers, whether it's for car ownership, homeownership, or financial well-being. Insurance is a natural extension of this strategy, allowing them to create a complete ecosystem around their core offerings. Structural Advantage: Brands that already have a customer base have a significant advantage. Acquiring these customers for insurance purposes costs them next to nothing, giving them better economics than external insurance providers. Evolution of SURE: Over the past year, SURE has focused on helping its partners achieve "permanence" in their insurance offerings. This means enabling them to build stable, long-term insurance programs that are not subject to the fluctuating appetites or market conditions of traditional insurers. Challenges for Traditional Insurers: The existing insurance industry has had ample opportunity to improve its technology and customer experience but has largely failed to do so. This has created an opening for new models. The "Build vs. Buy" Dilemma: While some companies attempt to build their own insurance carriers, this is capital-intensive and distracts from their core business. Partnering with a third-party carrier often results in a loss of control over customer experience and technology, leading to suboptimal outcomes. SURE's Sweet Spot: SURE offers a middle ground, enabling brands to have their own differentiated insurance programs with control and economic upside without the need to become full-fledged insurers or rely on inadequate partnerships with traditional carriers. Speed to Market: SURE can bring partners to market with approved insurance products in as little as 90 days, or even faster for simpler offerings, demonstrating a significant advantage over the lengthy internal development times typical for such initiatives. Industry Inertia: The insurance industry often suffers from a lack of incentive for long-term growth and innovation. Decisions are often based on avoiding blame (omission vs. commission) rather than proactively pursuing new opportunities. This makes it difficult for established players to adapt to new models. The Future of Insurance Distribution: The future will likely involve insurance being more deeply integrated into the customer journey, moving away from discrete purchases and towards seamless, embedded solutions. The current models of comparison engines and traditional carrier partnerships are becoming less relevant. Investor Appetite: There is a significant appetite from investors like private equity and sovereign wealth funds for insurance-like returns, especially for well-defined, scalable programs that leverage existing customer bases. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Juan Garcia, Co-Founder & CEO, Tuio 10.02.2026 33мин

  Episode Info Juan García is one of the Co-founders of Tuio, a next-generation insurer built from the ground up with artificial intelligence at its core. Tuio's ecosystem of AI agents — including Leia, Watson, Lisbeth, Sonia, and George — now automate over 80% of customer interactions and 85% of simple claims, showing how AI can rebuild trust in financial services through transparency and efficiency. Juan oversees Tuio's brand, growth, and product strategy, blending design thinking with operational rigor to create a customer experience that feels more like modern software than traditional insurance. Before founding Tuio, he spent 20 years helping companies scale at the intersection of technology and finance — including leadership roles at Monitor Deloitte and global experience in affinity insurance distribution (e.g., Orange Seguros). A telecommunications engineer and La Caixa Fellow, Juan holds an MBA from London Business School and CEIBS. Juan García is co-founder and Co-CEO of Tuio, Spain's 100% digital, AI-native insurer creating next-generation insurance solutions for a customer-centric, tech-driven world. Under his leadership, Tuio has rapidly scaled from a garage startup into a multi-million euro fintech-insurtech raising major backing and redefining what "insurance" means for the digital generation. Juan García brings a unique blend of telecommunications engineering, strategic consulting and startup leadership to his role at Tuio. With a passion for transforming legacy industries through technology, he embarked on the mission of reinventing insurance in an age of artificial intelligence, mobile-first expectations and subscription business models. In early 2021, alongside fellow co-founders José María Lucas and Asís Pardo, Juan helped launch Tuio from its earliest phase — from conception in a garage to its market launch just months later.  The vision: build an insurer designed for the digital era, not a legacy insurer digitized. Tuio's model under Juan's leadership is built on three pillars: 1) products designed for digital-native customers (clear policies, subscription-style terms, self-service); 2) technology and automation as core operations, where AI handles everything from underwriting to chats and claims; and 3) a socially-aware business model, with transparency, accessible language and customer alignment built into the value proposition. Under Juan's aegis, Tuio closed a significant €15 million financing round (in 2024) led by major investors including BlackRock and MassMutual Ventures, signaling strong investor confidence in the business model. He has repeatedly spoken about achieving unit-economics advantaged positions: Tuio is approaching profitability by keeping customer acquisition costs low and lifetime-value comparably high. Episode Overview: Company Snapshot: Founded mid-2020, launched November 2021. Serves ~100,000 customers with ~€15 million in premiums. Focuses on personal lines: household, term life, auto, pet, health, travel. Operates as the MGA for all products. Tuio's InsurTech Differentiator: Beyond Process Fixes: Moves beyond early InsurTech's focus on efficiency to fundamentally re-engineering insurance. Targeting Underserved Segment (25-55): Addresses this demographic's demand for digital-first, self-service experiences. Sustainable Growth Model: Rejects "grow at all costs"; prioritizes healthy margins and controlled loss ratios over rapid, unprofitable expansion. Challenging Traditional Playbooks: Proves that a focus on profitability and underwriting is key, even for newer entrants. Key Innovations & Strategies: Proprietary Customer DNA: Collects 100+ non-traditional data points continuously. Example 1 (Device Type): iPhone/MacBook users have ~10% higher claims for stolen goods; this insight influences pricing. Example 2 (Onboarding Behavior): Customers who scrutinize specific coverages during sign-up are flagged for closer review during claims, detecting potential fraud. AI-Powered Claims Management ("Watson"): Handles non-deterministic claims processes effectively. Analyzes customer DNA, policy data, claim history, and more. Performs severity, urgency, and duplication analysis. Assigns confidence levels and escalates high-risk decisions to human adjusters. Transforms claims from a cost center to a "data flywheel." Direct-to-Consumer Model: Operates largely as a direct writer (~60% in the US, ~98% in Spain for new sales). Believes in the value of direct customer relationships for data insights. Acknowledges the role of mediation but focuses on a segment that appreciates their model. Direct model exposes unique challenges like immediate claim filing post-policy purchase, which their data analysis helps mitigate. Claims Processing Excellence: Superior Loss Ratios: Household insurance loss ratio is 55% (vs. 15-115% market average in Spain), aiming for 19% by year-end. Human-Centric Automation: Automation supports, but does not replace, human adjusters for critical decisions. Next Best Action System: Guides adjusters through complex claims processes. Claims as a Data Source: Leverages claims data to refine underwriting and fraud detection. Focus on Non-Deterministic Nature: Recognizes that claims are not linear and requires flexible AI, not rigid rule-based systems. Future Vision: Southern European Champion: Expanding from Spain into Portugal, France, Italy, and Greece. Leveraging Tech Stack: Utilizing their efficient operational model to enter and scale in less competitive markets. Proving Profitability: Demonstrating that Southern European markets can be highly profitable for InsurTech This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Neil Harrison, Global Head of Claims, Willis 03.02.2026 29мин

  Episode Info Neil Harrison joined Willis in April 2024. He is Global Head of Claims, and a member of the company's Global Executive Team. Neil is based in New York. At Willis, Neil oversees all aspects of the company's claims propositions, services and solutions and participates in client, carrier management and innovation activities. Neil leads a group of 1400 claims professionals across all geographies, all lines of business and all client segments. The breadth and depth of Neil's role illustrate the importance Willis places on claims within the company's client and market facing propositions. Prior to joining Willis, Neil spent over 30 years at Aon and predecessor companies, serving in a series of global leadership roles across many aspects of the business. Neil was Global Chief Claims Officer at Aon from 2018 until joining Willis in 2024. His previous Aon roles included senior roles in client leadership, broking, risk consulting and risk technology activities. Neil started his career in London, and has at various times been based in Rotterdam, Chicago and New York. He has worked with clients and insurers around the world and has spoken at numerous industry events and conferences in, amongst other locations, US, UK, Australia, Canada, China, Colombia, Guatemala, India, Japan, Panama, Belgium, France, Germany, Netherlands, Spain, Singapore, South Korea, Sweden, Hong Kong, Philippines, Italy, Turkey, Argentina, Brazil and South Africa. Episode Overview: Claims as a Client-Facing Function: Willis views claims not as an operational back-office function, but as a crucial client-facing element that drives market propositions. This client-centric approach emphasizes achieving positive client outcomes. The Broker's Role in Placement: The claims organization plays a vital role in placement strategy by assessing carrier performance and ensuring the efficacy of policy wordings. This proactive approach helps avoid disputes and ensures clarity for clients. Navigating Complex Risks: The discussion highlights the increasing complexity of risks, driven by factors like climate change, cyber threats, and geopolitical instability. Harrison emphasizes the need for specialized expertise and a holistic view to manage interconnected risks. The Art and Science of Claims: Effective claims handling requires a blend of technical knowledge and "art," including empathy, relationship management, and clear communication. This human element remains critical, even with the advent of AI. AI's Evolving Role: While AI offers potential for efficiency and automation, its application in complex claims needs careful consideration. The focus remains on how AI can augment human expertise and improve client outcomes, rather than replacing them entirely. Client Lens and Outcomes: The overarching principle for Willis's claims team is the "client lens," ensuring all actions directly impact client outcomes, both financially and through superior service standards. Future Horizons: Looking ahead, the conversation touches upon the interconnectedness of global risks, the challenges of scaling specialization, and the evolving nature of insurance in response to technological advancements and geopolitical shifts. The Importance of Collaboration: A key theme is the need for collaboration between brokers, insurers, and clients, particularly in understanding how various policy wordings interact and ensuring comprehensive coverage for complex, multi-layered risks. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.
• 
  The Future of Insurance – Jeff Radke, Co-Founder & CEO, Accelerant (Post-IPO) 27.01.2026 37мин

  Episode InfoJeff Radke is CEO and Co-Founder of Accelerant, a technology-fueled insurance platform that empowers MGUs to more effectively and confidently serve small and medium enterprises. He has spent his career working across all areas of the insurance value chain, from underwriting to reinsurance in global markets. Prior to Accelerant, Jeff spent a decade at Argo Group International Holdings, but he became frustrated with thelegacy system's antiquated technology and emphasis on maintaining their position in the value chain over doing right by the customer. This inspired him to co-found Accelerant to enable data-driven innovation and collaboration that puts customers first. Accelerant rebuilds the way that underwriters share and exchange risk to improve outcomes for everyone, with a focus on the SMBs that power our global economy and their niche insurance needs. Jeff was previously a guest on the show, and you can catch that episode here. Episode Overview: Accelerant's IPO Journey: Successful Public Offering: Accelerant completed its Initial Public Offering (IPO) in July 2025. Timing Was Right: Radke believes the IPO occurred at the opportune moment, as the business model had become clearly defined and demonstrable to investors. He suggests it couldn't have happened much sooner. Market Conditions: The market timing for the IPO was favorable. Long-Term Vision: The IPO supports a long-term strategy, with the company prioritizing a 5-10-15 year horizon rather than short-term quarterly results. This contrasts with some other tech IPOs that focus on immediate performance. Investor Communication: Transparency with investors about expectations is crucial, and the company runs the business for the benefit of its customers and platform participants. Learning Experience: The post-IPO period, including initial market reactions and earnings announcements, served as a valuable, albeit challenging, reminder to focus on running the business exceptionally well and managing investor expectations. Accelerant's Mission & Problem Solved: Addresses a gap in the market for specialized underwriting talent moving to MGAs without adequate support. Recognizes the shift of risk retention to larger insurance companies, leaving a need for capacity. The Accelerant Platform: Aims to be the "rails" for specialty insurance. Focuses on: Smooth, transparent data flow. Efficiently connecting MGAs to risk capital. Leveraging technology and AI for data analytics and portfolio management. Growth & Key Initiatives: Serves 265 MGA members and partners with 17 insurance companies and 90+ capital providers. Mission: An Accelerant-owned entity providing a safety net and support for underwriters transitioning to MGAs. Risk Exchange: Facilitates capital matching for underwriters, with a focus on long-term network effects and data growth. The Evolving MGA Landscape: MGAs are growing significantly faster than the broader industry. Technology is enabling specialization and a "handoff" model across the value chain. This disaggregation is a natural progression, mirroring trends in other industries. Specialized coverage is increasingly in demand due to the complexity of modern businesses. Addressing Industry Inefficiencies: Identifies high expenses in areas like claims, underwriting, and actuarial functions as a key challenge. Advocates for mutualizing these expenses through centralized, technology-driven platforms like the Risk Exchange. Contrasts this with the traditional model where many companies perform the same functions sub-optimally. Differentiating Accelerant: Focuses on long-term viability and underwriting expertise, not just hype. Prioritizes serving members and capital partners with a service-minded approach. Offers a more efficient and effective alternative to traditional and some other insurtech models. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.