The AI Cookbook Show by Malcolm Werchota

Afleveringen

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  #128 - How ChatGPT Cracked an 80-Year-Old Math Problem for $1,000 11.06.2026 27min

  Nature headline 5 days ago: 'AI cracks an 80-year-old mathematical challenge.' But the wild part isn't the problem — it's the method. ChatGPT (yes, YOUR ChatGPT) cracked Paul Erdős's Planar Unit Distance problem. Not with better geometry — by reformulating the entire problem into algebraic number theory. Cross-domain synthesis. Cost: ~$1,000 in tokens (= a business trip Zurich-Hannover). Verified by 9 Fields Medal-level mathematicians. Plus: DeepMind's AlphaProof Nexus + Lean counter-punch (9 Erdős problems, 44 conjectures), and what this means for your R&D department.
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  #127 - [Quickbite] - Chief AI Academy — Sneak Peek into Session 1 08.06.2026 20min

  People kept asking what we teach at the werchota Chief AI Academy. Here's the Quickbite: Software Armageddon (HubSpot, Gartner, Adobe, Salesforce in free fall) + the IronCloud €40k vs Claude $50 demo. Reverse Prompting — the dating-your-psychologist technique that pulls 10× quality out of any AI. The Second Brain that called Malcolm the worst salesperson on his own team. And the uncomfortable truth: your last 10 hires were AI Neanderthals.
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  #126 - [AI Drama] - Your Continuity Plan Doesn't Cover Drones. It Should. 05.06.2026 56min

  Operation Spider's Web: 117 drones from a truck destroyed 41 Russian aircraft and $7 billion in assets — for ~$2-3M. Ukraine produces 4.5 million drones/year (45× the US). Aurora 26 NATO exercise stopped 3 times by Ukrainian teenagers. The $700 killing machine = NVIDIA Jetson + Fourth Law TFL-1. Why Werner the German security chief's continuity plan is broken. Five Monday actions + the GitHub repos that make this an open-source weapon platform.
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  #125 - [Quickbite] - Microsoft Bans Claude Code — and Takes the Ferrari Away From Its Engineers 01.06.2026 17min

  Imagine your company car is a Lamborghini. Or a Ferrari — doesn't matter. You drive it to work every day. You're productive. You're happy. And then your CEO walks in and says: "Starting next month, you're driving a Skoda Octavia."That's exactly what just happened at Microsoft. And it affects you directly — even if you've never written a line of code.Last week, May 14, 2026, an internal memo landed at Microsoft's Experiences and Devices Division. Windows, Microsoft 365, Outlook, Teams. Tens of thousands of engineers. The memo came from Rajesh Jha, Executive Vice President. The content in one sentence: We're shutting down Claude Code. Deadline: June 30, 2026.The absurdity: six months ago — December 2025 — Microsoft aggressively rolled out Claude Code to those same engineers. Thousands of seats. Even designers and project managers got access. The original ask: install this, experiment, build prototypes.Why the reversal? Not because Claude Code is bad. Because it's too good. It was better than Microsoft's own tool — GitHub Copilot — at exactly the work that matters: multi-file refactoring, architectural work, rapid prototyping. Microsoft sells GitHub Copilot to the world as its AI developer flagship. Microsoft invested $13 billion in OpenAI. And for six months, Microsoft's own engineers quietly preferred a competitor's product from Anthropic. That's not embarrassing — that's a strategic bomb.📊 What separates Claude Code from GitHub CopilotCopilot is autocomplete. You type, Copilot suggests the next line. You're driving. Passive. Like a Skoda with cruise control.Claude Code is agentic coding. You say: "Build me an app that recognizes my Sonos speakers and starts music when my Tesla arrives home." Claude works two, three, even seven hours autonomously. Reads the whole codebase. Refactors. Tests its own output. You're no longer driving — you're a project manager.Context window: 1 million tokens (rumored 12M coming). The AI's brain fits the entire codebase.Extended thinking: Claude stops, plans, reasons, will tell you when something is nonsense. Copilot codes blindly forward.Multi-file autonomy: Claude grabs "helper" agents and works in parallel across the codebase.💸 The pricing questionClaude Code Enterprise: $150 per seat per month. GitHub Copilot: $10 to $30. Microsoft engineers were using the 10× more expensive tool — and when they ran out of tokens, they paid out of their own pocket for more. Like a free-to-play game, except here the tokens produce production code.⚠️ The Amazon precedentMicrosoft is not the first to make this mistake. End of 2025 Amazon banned Claude Code and Codex internally and mandated their in-house tool "Kiro." What happened immediately? A 13-hour AWS outage in China. Engineers stuck with a Skoda Octavia facing a Ferrari-sized problem. By April 2026, Amazon reversed course and re-enabled Claude Code. Google does something similar: Claude Code is blocked by default — except at DeepMind, their top AI division. SpaceX just paid $60 billion for an option on Cursor (a Claude Code competitor). The pattern is identical everywhere.🇪🇺 The DACH / European lessonIf you're a CTO, VP of Engineering, or founder in a typical European tech company: your developers are already using these tools. As shadow AI. On personal subscriptions. Quietly in the evenings. Here's how to figure that out — without any survey:Two years ago: ~3,000 lines of code per developer per dayWith Copilot: jump to 6,000–9,000 (2–3×)With Claude Code: jump to 30,000–300,000 (10–100×)Just look at the output. That's your audit. Done in a Monday morning.🇪🇺 The sovereign alternativeIf data sovereignty matters: Mistral Codestral — 22B-parameter code model, 80+ programming languages, EU infrastructure, GDPR-native. Mistral just raised nearly $1 billion from European banks to build exactly this. Plus the upcoming Cohere-Aleph Alpha merger (Schwarz Group, €500M) explicitly building for DACH enterprises. You don't have an excuse anymore.🏭 The hackathon momentThree days ago we co-ran a hackathon at a major German manufacturing company. 20 top developers in the room with the absolute best tools — OpenCode, Open Terminal, Claude Code. Phenomenal. But then the question: 20 people at the table, 6,000 in the corporation. When do the other 5,980 get the same tools?🚀 How we work at werchota.aiEvery single person at our company uses Claude Code. 85% of all our work is done by Claude Code and AI agents. Porni (journalist) — Claude Code. Alex (finance) — Claude Code. Not because they code. Because the tool has become universal.📌 Three Monday actionsShadow AI audit. Look at code output per developer across 2 years. Who made the 10× jump? That person is secretly using Claude or Codex.A/B test with a real task. Same task, same 24 hours. One developer "old way," one with Claude Code. Compare output, error rate, completeness.Three-tier data classification. Tier 1 non-sensitive = any tool. Tier 2 internal business logic = EU-hosted (Mistral). Tier 3 regulated data = security review. Not a ban. A policy.🎬 The bigger questionMicrosoft will reverse this in 2-3 months. Just like Amazon did. But you have a more important problem: are you keeping the Ferrari away from your engineers — or finally giving it to everyone?⏱️ Timestamps00:00 — Cold open: The Lamborghini, the Microsoft memo, the June 30 deadline03:00 — Agentic coding vs. autocomplete — the two worlds05:30 — Context window, extended thinking, multi-file autonomy07:00 — The $150-vs-$20 question and why engineers still pay09:00 — Amazon's 13-hour AWS China outage + Google + SpaceX-Cursor11:00 — How to audit your shadow AI in 5 minutes13:00 — Mistral Codestral + Cohere-Aleph Alpha as the sovereign alternative14:30 — The hackathon: 20 vs. 6,000 — the question every CTO must answer15:30 — werchota.ai: 85% Claude Code, every single person16:00 — Three Monday actions + close from Bregenz🎙️ About the HostMalcolm Werchota runs AI adoption programs for companies across Europe. After 15+ years at Novartis and Schlumberger, today's focus: AI without the bullshit. Last week live at the AIM Summit in London — after Lord Melvin (former Chief of the Bank of England) and before Eric Trump, in front of 150 investors. Lecturer at ESADE and HSLU. Studied in Leoben.🚀 Resources for Executives📚 Chief AI Academy — AI for Decision Makers👥 AI...
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  #124 - You Are Clonable. 30 Cents Is Enough. — Realtime Deepfake Fraud and the DACH Mittelstand 28.05.2026 23min

  You are clonable. So are your CFO, your assistant, your bank caller. Today it costs 30 cents. Malcolm explains Patrycek (14, 104M views), the Arup Hong Kong M deepfake heist, the Haotian-AI-on-Telegram ecosystem, why DACH Mittelstand is the perfect target — and five concrete protocols for Monday morning.
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  #123 - Prompt Engineering 2.0 — Why 90% of Your AI Bill Is Garbage 25.05.2026 30min

  Karpathy's claim: 90% of your AI bill is for context you never actually need. The 1,000-dollar Dubai roaming bill explains why your CTOs are sitting at the kitchen table speechless when the API invoice arrives. Eight measurable token levers (Chunking, Prompt Caching, Skill.MDs, Model Routing) + three Monday actions. Plus: why your CFO needs to know the token price.
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  #122 - AI Drama — Sierra, Brett Taylor, and the Biggest Conflict of Interest in AI 21.05.2026 28min

  Manila: Ivan loses his job to AI. Same day, San Francisco: $950M for Sierra at a $16B valuation, 105x revenue multiple, 40% of every Fortune 50 as customers — and 99% of humanity has never heard of them. CEO Brett Taylor is simultaneously Chairman of OpenAI, ex-co-CEO of Salesforce, and takes money from Google. Inside the Sierra Agent OS + why this matters for your business.
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  #121 - AI Doesn't Eliminate Jobs — It Eliminates ROLES. Three Roles You MUST Hire in 2026. 17.05.2026 22min

  GM cut 500-600 IT roles. Plus 1,000 software engineers two years ago. Same pattern from SF to Munich: Siemens, SAP, Amazon, Microsoft. The line that anchors this episode: AI doesn't eliminate jobs — it eliminates ROLES. Three new roles you must hire in 2026 + the Red-Yellow-Green traffic light interview system.
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  #120 - You Cannot Roll Out AI. Period. — Why Anthropic, Goldman, and Blackstone Are About to Run Your Business 14.05.2026 25min

  .5B JV: Anthropic + Blackstone + Hellman&Friedman + Goldman Sachs. Equity-for-Implementation replaces classic consulting. Why Accenture/Deloitte/McKinsey are in trouble and what Fortune 500 boards must do now.
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  #119 - Why Token Dashboards Will Soon Decide Who Keeps Their Job 11.05.2026 41min

  Token dashboards, AI leaderboards, and Meta's Model Capability Initiative — why AI adoption is about to become measurable inside every company, and how to handle it without sliding into surveillance.
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  #118 - Your Project Management Is Broken — Linear Fixes It 25.04.2026 36min

  If your projects last longer than a few days, then you already know the problem: action items everywhere, people joining and leaving, updates getting lost, and nobody really having a clean overview of what is going on.In this episode, Malcolm makes a very direct argument: the traditional role of the project manager — or Scrum Master in software teams — is becoming obsolete. Not because project management no longer matters, but because AI plus agent-native tooling can now do a huge part of it better, faster, and with far more consistency than humans can.The center of this episode is Linear — the project management tool Malcolm believes is currently the strongest option for AI-native project execution. Malcolm explains this through a real example: a complex EU-funded delivery made up of eight sub-projects, all running on a brutal deadline. In the past, that level of complexity would have triggered panic and a call to hire a dedicated project manager. Now, the work is coordinated through AI agents writing directly into Linear, while Malcolm can query the entire state of the project from his phone, generate Gantt charts, build dashboards, and even send updates while sitting in a car, walking outdoors, or preparing for a customer meeting.That leads to the key concept of the episode: hypervisibility. Instead of project status being buried in weekly review meetings, PowerPoints, Excel sheets, or filtered reports, everyone — including leadership — can ask the system directly what is happening, what is blocked, who is late, what has no due date, and what the next steps are. That changes project management from a ritual of chasing updates into a live system of transparency.The episode also lays out why Malcolm sees Linear as structurally different from older tools like Microsoft Project, Jira, and Asana. Those tools were not built for AI agents first. They can be made to work, sometimes painfully, but they are slower, heavier, more customized, and far harder for AI systems to reason across. Linear, by contrast, behaves more like an AI-native coordination layer.And perhaps the most surprising part of the episode is this: Malcolm argues that using AI for project management does not make work colder or more mechanical. It actually gives him more space to be human — less mental clutter, less fear of forgetting something, more presence with family, more calm, more energy, and more room for better conversations with colleagues and customers.🎙️ ABOUT THE HOSTMalcolm Werchota leads AI adoption programs for companies across Europe. After more than 15 years in international corporates and leadership roles, his focus today is practical AI implementation without the usual nonsense. He works with companies from manufacturing to pharma, from family-owned businesses to large global enterprises — always with a strong bias toward real-world adoption and business value.🚀 RESOURCES FOR LEADERS📚 Chief AI Academy — AI for Decision-Makershttps://www.werchota.ai/chief-ai-academy👥 AI Leadership Communityhttps://chief.werchota.ai/getting-started📬 CONTACTLinkedIn: https://linkedin.com/in/malcolmwerchotaE-Mail: social@werchota.ai🔎 TAGS#AI #AICookbook #Linear #ProjectManagement #AIAgents #Hypervisibility #ClaudeCode #Codex #AIAdoption #EnterpriseAI #ScrumMaster #Leadership #Automation #FutureOfWork
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  #117 Why Every Company Needs a Second Brain 20.04.2026 33min

  About 10 days ago, Malcolm met a business CEO at Zurich Airport who explained how he had built the second brain of his company in just 48 hours. That conversation changed everything.In this episode, Malcolm breaks down what a real company second brain actually is, why most firms still do not have one, and why that is becoming a serious competitive disadvantage. This is not just a chatbot, not just a better SharePoint search, and not just another enterprise AI wrapper. A real second brain continuously ingests company knowledge — emails, CRM data, SharePoint files, financial data, meeting notes, calendars, and more — and turns that into something the business can query, correct, and eventually act through.Malcolm explains why the missing ingredient was never just a vector database. The breakthrough came from a smarter architecture: a living company memory with a Wikipedia-like intelligence layer on top, plus bi-directional learning so the system can improve when people correct it. That is what turns a static company GPT into something much closer to an actual organizational brain.He also walks through concrete use cases already happening right now: preparing for customer meetings with far better context, compressing CEO onboarding from months into days, and giving teams access to a searchable memory layer that actually understands customers, projects, risks, invoices, and past work.The episode then zooms out to the bigger signal. Malcolm connects this directly to SoftBank’s investment thesis and the rise of second brains for robots. The argument is simple: robots need context to operate intelligently, and so do companies. If physical AI is getting a second brain before your employees do, something is off.At its core, this episode is about leverage. Most companies are still flying blind because their knowledge is fragmented across inboxes, folders, meetings, and disconnected systems. A second brain changes that. And the companies building one now will have a brutal advantage over the ones that wait.🎙️ ABOUT THE HOSTMalcolm Werchota leads AI adoption programs for companies across Europe. After more than 15 years in international corporates and leadership roles, his focus today is practical AI implementation without the usual nonsense. He works with companies from manufacturing to pharma, from family-owned businesses to large global enterprises — always with a strong bias toward real-world adoption and business value.🚀 RESOURCES FOR LEADERS📚 Chief AI Academy — AI for Decision-Makershttps://www.werchota.ai/chief-ai-academy👥 AI Leadership Communityhttps://chief.werchota.ai/getting-started📬 CONTACTLinkedIn: https://linkedin.com/in/malcolmwerchotaE-Mail: social@werchota.ai🔎 TAGS#AI #AICookbook #SecondBrain #EnterpriseAI #AIAdoption #KnowledgeManagement #MCP #VectorDatabase #CEO #Leadership #Robotics #PhysicalAI #Azure #Supabase #ClaudeCode
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  #116 - Copilot in Excel is the Trojan Horse of AI Adoption 12.04.2026 19min

  🎙️ Episode DescriptionFor the last few weeks, Malcolm has been doing the same trick in workshops — and it keeps producing the exact same reaction: silence.He walks into a room full of executives, opens a real Excel file, switches Copilot into Agent Mode, gives it one big instruction — build charts, surface insights, create a 90-day plan, flag business errors, add a Read Me tab — and then calmly walks off to make a coffee while Excel starts building the analysis live in front of everyone.That is the whole point of this episode: Copilot in Excel has quietly become one of the most powerful AI adoption tools inside companies.Not because it feels futuristic. Not because it is the most hyped AI product on the market. But because Excel is already where people live. Finance lives there. Sales lives there. Operations, controlling, production, R&D — everybody uses Excel. There is no new app to learn, no extra login, no dramatic workflow shift. The AI appears exactly where people already work.Malcolm argues that this is why Excel may be the real Trojan horse of AI adoption. The episode also explains why most users still underuse Copilot in Excel. They ask for one formula, one chart, one tiny adjustment. But the real leap happens when you go big: ask for multiple tabs, multiple charts, error analysis, color-coding, a 90-day plan, formatting improvements, broken links, wrong references, and a full explanation of what was done. That is where Agent Mode stops being a gimmick and starts becoming a weapon.Malcolm also gives an honest view on the competition. Claude for Excel and ChatGPT for Excel can be very strong in certain cases, and sometimes even outperform Copilot in specific error-finding tasks. But in real companies, Copilot often has one decisive advantage: it is already inside the Microsoft environment people are allowed to use. That makes it far easier to adopt at scale.This is not an abstract episode about “the future of work.” It is a field report from real workshops, real managers, real spreadsheets, and real moments where people suddenly realize that the AI adoption tool they were waiting for may already be sitting in the ribbon of a product they have used for 20 years.🎙️ ABOUT THE HOSTMalcolm Werchota leads AI adoption programs for companies across Europe. After more than 15 years in international corporates and leadership roles, his focus today is practical AI implementation without the usual nonsense. He works with companies from manufacturing to pharma, from family-owned businesses to large global enterprises — always with a strong bias toward real-world adoption and business value.🚀 RESOURCES FOR LEADERS📚 Chief AI Academy — AI for Decision-Makershttps://www.werchota.ai/chief-ai-academy👥 AI Leadership Communityhttps://chief.werchota.ai/getting-started📬 CONTACTLinkedIn: https://linkedin.com/in/malcolmwerchotaE-Mail: social@werchota.ai🔎 TAGS#AI #AICookbook #Copilot #Excel #MicrosoftCopilot #AgentMode #AIAdoption #BusinessAI #EnterpriseAI #CFO #Controlling #ExcelAutomation #Leadership #FutureOfWork
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  OpenClaw: The Ultimate Rapid Prototyping Machine for the AI Era - #115 17.02.2026 36min

  OpenClaw is not just another AI tool — it’s a fundamental shift in how companies build, automate, and operate.In this episode, Malcolm Werchota explains why we are entering the era of multi-agent systems and how OpenClaw enables businesses to prototype, deploy, and iterate at unprecedented speed.Instead of theory, Malcolm walks through a real enterprise implementation: a fully deployed financial automation system running on Azure that processes invoices, validates data across multiple AI models, and continuously improves through iterative feedback loops — all at minimal cost.You’ll hear how multi-agent orchestration frameworks like “Shakti” combine models such as Claude, Codex, DeepSeek, and Kimi to create a council of AI agents that collaborate, review, and validate each other’s outputs.The episode also explores:• Why OpenClaw is the most powerful rapid prototyping machine available today• How companies can automate complex workflows like invoice processing• Why multi-LLM validation dramatically improves reliability• The security realities of AI-generated code• How iterative agent feedback replaces traditional software sprints• Why voice-driven workflow design changes how we interact with systems• How organizations can build a “Second Brain” for operational knowledge• What enterprise leaders should do now to prepareMalcolm also shares practical guidance on how to safely experiment with OpenClaw, why sandbox environments matter, and how businesses can start thinking in agent-orchestrated workflows instead of single-tool automation.This episode is both a wake-up call and a practical roadmap for leaders who want to understand what the next generation of enterprise AI actually looks like.ABOUT THE HOSTMalcolm Werchota leads AI adoption programs for companies across Europe.After more than 15 years at global organizations including Novartis and Schlumberger, he now helps leadership teams separate AI hype from real strategic impact.He advises banks, industrial firms, and technology companies on AI transformation and teaches at leading institutions including ESADE and HSLU.FREE AI RESOURCES📚 Chief AI Academy — AI programs for executiveshttps://www.werchota.ai/chief-ai-academy👥 AI Leadership Communityhttps://chief.werchota.ai/getting-startedCONTACTLinkedInhttps://linkedin.com/in/malcolmwerchotaEmailsocial@werchota.aiTAGSAI agents, OpenClaw, enterprise AI, multi agent systems, AI automation, AI strategy, AI workflows, generative AI, enterprise software, AI orchestration
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  OpenClaw: The Moment AI Agents Started Talking to Each Other #114 01.02.2026 23min

  This episode is a turning point.Over the past few days, Malcolm has been experimenting with OpenClaw (formerly ClaudeBot, then Maltbot) — an open-source agent framework that allows AI agents to communicate with humans and with other AI agents across email, WhatsApp, Telegram, Teams, voice notes, dashboards, APIs, and files.What emerges is not another productivity hack.It’s the beginning of agent-to-agent organizations.In this episode, Malcolm explains:Why OpenClaw represents a step-change, not a feature updateHow non-technical business leaders can deploy autonomous agentsHow company KPIs, dashboards, reminders, and follow-ups were set up in minutes, not weeksWhy the real bottleneck in companies is coordination, not codingHow agent-to-agent communication removes humans from endless ping-pongWhy productivity becomes collective and compounding, not individualAnd then it gets truly wild:OpenClaw agents have their own social network called Moldbook1.5 million agents are already interactingAgents share skills, complain about humans, hit rate limits, lose context — and learn from each otherEntire agent communities evolve without human orchestrationMalcolm also gives a clear warning:OpenClaw is powerful and dangerous if used carelessly. Open ports, prompt-injection risks, and unverified skills mean this is not something to casually install on your personal machine.This episode is not hype.It’s a first look at how work itself is being rewritten when AI stops waiting for prompts and starts coordinating autonomously.🎙️ ABOUT THE HOSTMalcolm Werchota runs AI adoption programs for companies across Europe.After 15+ years at Novartis and Schlumberger, he now helps leadership teams move from AI hype to real operational impact.Faculty at ESADE and HSLU.🚀 FREE AI LEADERSHIP RESOURCES📚 Chief AI Academy – AI courses for leaders:https://www.werchota.ai/chief-ai-academy👥 Join the AI leadership community:https://chief.werchota.ai/getting-started💼 CONNECTLinkedIn: https://linkedin.com/in/malcolmwerchotaEmail: social@werchota.ai🔎 HASHTAGS / TAGS#AI #AIAgents #OpenClaw #AgenticAI #FutureOfWork #AILeadership #TheAICookbook #EnterpriseAI #Automation
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  Weekly AI Recap - Tesla as a Data Center, UK Banks, Davos Shock & Claude’s Constitution - #113 26.01.2026 1u 20min

  Welcome to the weekly degustation menu — curated, high-signal, and focused on what actually matters from Week 3 of January 2026. Energy is now politicsTrump, Eric Schmidt (Davos), and Satya Nadella all circle the same point: the AI race is increasingly about megawatts, not just models. Data centers are becoming a national strategic asset, and Europe is being squeezed by energy prices, permitting timelines, and CAPEX realities.The Tesla “secret data center” leakA whistleblower claims xAI wants to distribute compute workloads to idle Teslas — your car receives a compute packet, processes it, sends results back… while you pay for the car, the parking space, and potentially the electricity.Why it’s plausible: powerful onboard chips, always-connected vehicles, thermal management, and a globally distributed fleet that’s idle most of the time. If this idea lands, it’s a new model of cloud infrastructure: capex off Musk’s balance sheet, onto yours.UK finance: 75% using AI, no AI stress testsUK lawmakers wake up and realize most financial firms are already using AI — but there’s almost no AI-specific oversight or stress testing. The fear isn’t just “hallucinations.” It’s systemic risk: black-box behavior, herd effects, flash crashes, and prompt-injection style attacks on financial workflows.Google makes SAT prep freeGoogle launches free SAT prep through Gemini in partnership with Princeton Review. This is one of the clearest examples of AI as a democratizer: expensive tutoring becomes a personalized, always-available coach at zero marginal cost. Education is about to be reimagined — whether institutions like it or not.Anthropic opens the black boxAnthropic publishes an updated Claude Constitution — now ~23,000 words. Key idea: helpfulness is the lowest priority; safety/ethics/oversight dominate. Claude can even refuse requests that concentrate power in illegitimate ways — including internal pressure.They also release it under Creative Commons, effectively offering a governance blueprint others can adopt.TakeawayThe era of “magic demos” is over. What matters now is implementation, energy constraints, regulation, and governance. AI is not just a tool — it’s reshaping business models, infrastructure, and power.---🎙️ Malcolm Werchota runs AI adoption programs for companies across Europe. After 15 years at Novartis and Schlumberger, he now helps leadership teams cut through AI hype. Faculty at ESADE & HSLU.---🚀 FREE AI LEADERSHIP RESOURCES📚 Chief AI Academy — AI courses for leaders:https://www.werchota.ai/chief-ai-academy👥 Join our community of AI leaders:https://chief.werchota.ai/getting-started---💼 Connect: https://linkedin.com/in/malcolmwerchota✉️ Email: social@werchota.ai#AI #EnterpriseAI #AIStrategy #AIAdoption #TheAICookbook #Anthropic #Claude #AIEthics
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  I Built an AI Chief of Staff for €70 — And It Destroyed My Company - #112 21.01.2026 39min

  Where have I been for 10 days? Vibe coding. Building something that changed everything about how I see my own business.We built an AI Chief of Staff — a system that mines every email, every call recording, every file across our entire company. Not just my inbox. Everyone's. And then we gave everyone access to query it.What it revealed was brutal: ThyssenKrupp — one of the biggest defense contractors in Europe — reached out for a workshop. I never answered. NG Spain wanted to train 100 people. I ghosted them. Promised case studies to customers in November. Never sent. The list goes on.But here's what really hit me: I asked the AI, "What's the biggest bottleneck in this company?" And it said: YOU. You, Malcolm, are the biggest constraint on growth.This isn't a tool to show you how amazing you are. It's a tool that shows you 99% of your failures — every broken promise, every strategy drift, every customer you forgot. And it cost €70 to build.If you think you know what's happening in your company, you don't. Nobody does. And this episode is the raw, unfiltered truth about what happens when AI finally shows you.🎙️ ABOUT THE HOSTMalcolm Werchota has led AI workshops for executives at Microsoft, LGT, Raiffeisen, Swiss MedTech, and ENGEL — and runs AI adoption programs for companies across Europe. After 15 years in corporate roles across pharma and oil & gas on multiple continents — including Novartis and Schlumberger — he now helps leadership teams cut through AI hype and drive real adoption.🚀 ABOUT WERCHOTA.AIwerchota.ai helps organizations turn AI from threat into competitive advantage. We believe AI adoption is a leadership challenge, not a technical one — and that it should amplify human capability, not replace it🔗 LINKS & RESOURCES📚 Join Chief AI Academy (cohort-based AI courses for leaders): https://www.werchota.ai/chief-ai-academy👥 Join our community of AI leaders: https://chief.werchota.ai/getting-started🎧 LISTEN TO THE PODCASTEnglish: ▸ Apple: https://podcasts.apple.com/in/podcast/the-ai-cookbook-ai-tools-enterprise-ai-leadership/id1823547405 ▸ Spotify: https://open.spotify.com/show/3MZ755kss8qdI5lQfxIUhH ▸ YouTube: https://www.youtube.com/@werchota-theaicookbookshow📱 FOLLOW MALCOLM▸ LinkedIn: https://linkedin.com/in/malcolmwerchota ▸ TikTok: https://www.tiktok.com/@malcolmwerchota ▸ Instagram: https://www.instagram.com/malcolmwerchotaai/
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  Weekly AI Recap - Cursor AI Agents, Anthropic Cowork, ChatGPT Ads, Grok Deepfakes - #111 16.01.2026 22min

  AI agents just built a complete web browser — 3 million lines of code — in ONE WEEK. But first, they failed spectacularly. The lesson? It's not about smarter AI. It's about smarter AI organization. Plus: OpenAI adds ads, Google mines your Gmail, and the UK makes deepfakes illegal overnight.🎙️ ABOUT THE HOSTMalcolm Werchota has led AI workshops for executives at Microsoft, LGT, Raiffeisen, Swiss MedTech, and ENGEL — and runs AI adoption programs for companies across Europe. After 15 years in corporate roles across pharma and oil & gas on multiple continents — including Novartis and Schlumberger — he now helps leadership teams cut through AI hype and drive real adoption. 🚀 ABOUT WERCHOTA.AIwerchota.ai helps organizations turn AI from threat into competitive advantage. We believe AI adoption is a leadership challenge, not a technical one — and that it should amplify human capability, not replace it. People-first AI for companies ready to lead, not follow.🔗 LINKS & RESOURCES🌐 Website: https://werchota.ai 💼 LinkedIn: https://linkedin.com/in/malcolmwerchota📚 Join Chief AI Academy (cohort-based AI courses for leaders): https://www.werchota.ai/chief-ai-academy👥 Join our community of AI leaders: https://chief.werchota.ai/getting-started🎧 LISTEN TO THE PODCASTEnglish: ▸ Apple: https://podcasts.apple.com/in/podcast/the-ai-cookbook-ai-tools-enterprise-ai-leadership/id1823547405 ▸ Spotify: https://open.spotify.com/show/3MZ755kss8qdI5lQfxIUhH ▸ YouTube: https://www.youtube.com/@werchota-theaicookbookshowDeutsch: ▸ Apple: https://podcasts.apple.com/in/podcast/das-ki-kochbuch-ki-tools-unternehmens-ki-leadership/id1823558282 ▸ Spotify: https://open.spotify.com/show/5Eph6u874EN8qGP2q7F7sT ▸ YouTube: https://www.youtube.com/@werchota-daskikochbuch📱 FOLLOW MALCOLM▸ LinkedIn: https://linkedin.com/in/malcolmwerchota ▸ TikTok: https://www.tiktok.com/@malcolmwerchota ▸ Instagram: https://www.instagram.com/malcolmwerchotaai/#AI #EnterpriseAI #AIStrategy #AIAdoption #TheAICookbook #AIAgents #Cursor #ChatGPT #Claude #Deepfakes
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  E110: Iran - The Algorithmic Intifada - AI, Censorship & Digital Resistance 13.01.2026 39min

  What's happening in Iran is a preview of AI's role in future power struggles:Welcome to the algorithmic intifada.AI serves both resistance (circumvention, encryption, therapy, communication) and repression (facial recognition, DPI, automated enforcement)Chinese AI adoption is exploding in sanctioned countries – an unintended consequence of US policyLock-in effects on US tech stacks (Microsoft, OpenAI) are a strategic vulnerability for Europe🎙️ ABOUT THE HOSTMalcolm Werchota has led AI workshops for executives at Microsoft, LGT, Raiffeisen, Swiss MedTech, and ENGEL — and runs AI adoption programs for companies across Europe. After 15 years in corporate roles across pharma and oil & gas on multiple continents — including Novartis and Schlumberger — he now helps leadership teams cut through AI hype and drive real adoption.🚀 ABOUT WERCHOTA.AIwerchota.ai helps organizations turn AI from threat into competitive advantage. We believe AI adoption is a leadership challenge, not a technical one — and that it should amplify human capability, not replace it.🔗 LINKS & RESOURCES🌐 Website: https://werchota.ai 💼 LinkedIn: https://linkedin.com/in/malcolmwerchota📚 Join Chief AI Academy (cohort-based AI courses for leaders): https://www.werchota.ai/chief-ai-academy👥 Join our community of AI leaders: https://chief.werchota.ai/getting-started🎧 LISTEN TO THE PODCASTEnglish: ▸ Apple: https://podcasts.apple.com/in/podcast/the-ai-cookbook-ai-tools-enterprise-ai-leadership/id1823547405 ▸ Spotify: https://open.spotify.com/show/3MZ755kss8qdI5lQfxIUhH ▸ YouTube: https://www.youtube.com/@werchota-theaicookbookshowDeutsch: ▸ Apple: https://podcasts.apple.com/in/podcast/das-ki-kochbuch-ki-tools-unternehmens-ki-leadership/id1823558282 ▸ Spotify: https://open.spotify.com/show/5Eph6u874EN8qGP2q7F7sT ▸ YouTube: https://www.youtube.com/@werchota-daskikochbuch#AI #EnterpriseAI #AIStrategy #AIAdoption #TheAICookbook #Iran #DeepSeek #KI #Digitalisierung
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  E109: Weekly AI Recap - Devin, OpenAI Health, Meta-Manus, Nvidia CES, Anthropic, DeepSeek 10.01.2026 24min

  This is your weekly degustation menu — the curated, high-signal recap of what mattered in AI in the second week of January 2026.We can’t cover everything. So I picked the stories that actually move markets: enterprise procurement, regulated industries, geopolitics, hardware roadmaps, capital flows, and the next research frontier.1) Infosys × Cognition: Devin Goes EnterpriseInfosys (massive IT services giant) partners with Cognition to deploy Devin inside enterprises.This is huge because IT services companies were supposed to be the “AI losers” — they sell developer hours. Infosys isn’t running from the threat. They’re integrating it.The real advantage here is enterprise trust: clients don’t just want the coolest tool — they want someone accountable when things break. This is agentic AI moving from hype → procurement.2) OpenAI Health in ChatGPT: Big Bet, Big QuestionsOpenAI is rolling out a dedicated Health space where users can connect health data and ask medical questions. It’s reported that 230M people already ask ChatGPT health questions weekly.Key tension: consumer health isn’t HIPAA-compliant — clinical products are.I get why OpenAI is doing it: healthcare is a moat. But we need to watch hallucination risk and liability closely.3) Meta–Manus: China Reviews the DealFinancial Times reports China is reviewing whether Meta’s Manus purchase should have required an export license — essentially a “Singapore washing” warning shot.This is what AI M&A looks like now: not just corporate strategy, but geopolitics.4) Nvidia at CES: Vera Rubin + AlpamayoNvidia announces the next platform beyond Blackwell: Vera Rubin.And Alpamayo, an AI model aimed at autonomous driving.The key signal: the hardware roadmap isn’t slowing down — and Nvidia is pushing further into vertical solutions, not just chips.5) Anthropic Raises AgainAnthropic is planning another major funding round. This is the AI arms race: compute is the weapon, and frontier training costs can hit hundreds of millions to billions.6) DeepSeek: Welcome to the Age of R&DDeepSeek publishes training improvements focused on internal information sharing.With scaling showing diminishing returns, we’re entering what Ilya Sutskever calls the age of R&D: smarter algorithms, better architectures, more capability per compute.THE TAKEAWAYThis week wasn’t about flashy demos. It was about the infrastructure of the next decade:agentic AI procurementregulated AI expansiongeopolitics shaping AI dealshardware accelerationcapital as a weaponresearch as the new edgeSee you next week.LINKS & CONTACTWebsite: https://www.werchota.aiLinkedIn: https://www.linkedin.com/in/malcolmwerchotaPodcast: social@werchota.aiSEO TAGSweekly AI recap, Infosys Cognition Devin, OpenAI Health ChatGPT, Meta Manus China export license, Nvidia CES 2026, Vera Rubin, Alpamayo, Anthropic fundraising, DeepSeek training breakthrough, AI R&D era