The AI Cookbook: AI Tools | Enterprise AI | Leadership

Malcolm Werchota
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Malcolm Werchota's AI Cookbook is where artificial intelligence meets authentic business transformation. Known for his direct style and willingness to show AI in action—even during live presentations—Malcolm helps organizations understand that AI isn't about replacing humans but amplifying their capabilities. From voice-note productivity hacks to real-time meeting intelligence, this podcast delivers actionable insights for immediate implementation.

  1. 36M AGO

    E102: Episode: Was This Our Last Real Christmas? AI, Gifts, Loneliness & the New Reality

    This episode wasn’t planned. It was recorded on December 25th, in the middle of real Christmas life. Malcolm shares how AI has become non-optional in his family: A nine-year-old settles a family debate by asking ChatGPTA father uses AI for cooking marinadesA wife builds a yoga website with Claude & LovableChildren create dashboards with AIAnd suddenly it’s clear: AI is no longer a tool. It’s just… there. 🔹 The Numbers Behind Christmas 2025+760% increase in AI-driven traffic to retail sites$250B in AI-influenced holiday purchases21% of all Christmas orders involved AI75% of consumers used AI for deals or gift ideasGen Z: 56%Millennials: ~50%AI didn’t assist Christmas shopping. It reshaped it. 🔹 AI as a Personal Gift AdvisorMalcolm shares a deeply personal story: using AI — with diary context and emotional history — to find a gift that truly mattered to his wife. Not a product. A decision. A gesture. “The AI connected dots I had forgotten.”An uncomfortable realization follows: Does AI sometimes understand the people we love better than we do? 🔹 AI Advertising: Coca-Cola vs. McDonald’sCoca-Cola70,000 AI-generated clips5 people, 30 daysMost discussed Christmas ad of 2025McDonald’s (Netherlands)AI ad pulled after 3 days“This ruined my Christmas spirit”Insight: AI ads are technically brilliant — but emotionally off. Like a smile that never reaches the eyes. 🔹 The Human Cost1 in 5 freelance artists in the Netherlands lost income due to AIIllustrators, designers, creatives are the first layer impactedHollywood strikes (2023) were right — but powerlessThe question is no longer: “Will AI affect my job?”It’s: “How do I avoid getting stuck in the middle?”The middle is emptying. 🔹 Children & AI CompanionsA viral video from China shows a 4-year-old girl crying — because her AI companion broke. No screen. Only voice. Real emotional attachment. This isn’t science fiction. It’s already happening. Malcolm reflects on his own child and asks: When do we introduce AI — and should we? No easy answers. 🔹 Loneliness, AI Partners & MonetizationAI companions at $200/monthChristmas-specific updates & virtual giftsAI that listens, remembers, and never arguesAI isn’t just monetizing technology. It’s monetizing loneliness. Christmas is peak season. 🔹 Scams: The Dark Side of AI Christmas33,000 AI-generated phishing emails intercepted10,000 fake holiday ads85% of people fear they can’t detect AI scamsPractical protection tip: Run a Who-Is analysis on suspicious links directly with ChatGPT or Gemini. 🔹 Pressure to Work — Even During the Holidays1 in 7 employees feels pressure to work during holidaysNot because AI replaces work — but because expectations riseAI productivity shifts the benchmark. Rest time becomes learning time. 🔹 What You Can Do (Practical Takeaways)Use AI for gift ideas — with contextPhotograph your fridge → let AI plan mealsExpect hybrid advertising to become standard“Human-Made” will become a premium labelRemember: AI is a tool — responsibility stays human💬 NOTABLE QUOTES“AI is no longer optional — it’s just there.”“Every fifth Christmas order involved AI.”“The AI knew what would make her happy.”“Technically perfect, emotionally empty.”“Loneliness is being monetized.”“Was this our last real Christmas?”“Technology is just a tool.”🔗 WHERE TO FIND MALCOLMLinkedIn: https://www.linkedin.com/in/malcolmwerchota Website: https://www.werchota.ai YouTube: https://www.youtube.com/@werchota X: https://x.com/malcolmwerchota Instagram: https://www.instagram.com/malcolmwerchotaai TikTok: https://www.tiktok.com/malcolmwerchota ✉️ CONTACTDirect: malcolm@werchota.ai Podcast: social@werchota.ai 🎓 AI FIT ACADEMYApply AI, don’t just talk about it. Ship First. Study Later. https://www.werchota.ai/ai-fit-academy 🔎 SEO TAGS (EN)AI Christmas, AI shopping, AI gifts, AI advertising, Coca-Cola AI, McDonald’s AI, AI companions, loneliness AI, AI scams, future of holidays, AI everyday life, human-made content, AI culture

    28 min

  2. 4D AGO

    E101: 97% of Doctors Still Do This Wrong (Voice AI Explained)

    A palliative care doctor visits patients at 8 PM — not out of passion, but because she spent four hours after clinic closing doing reports, billing codes, insurance forms, and documentation. This is not an exception. This is healthcare in 2025. And it’s breaking the system. In this Quick Byte, Malcolm takes you inside a classroom in Buchs, Switzerland — the first major AI course for Medical Practice Assistants in the DACH region — where he makes a shocking discovery: Out of 30 healthcare professionals, only ONE uses AI for documentation. The very thing they hate most. The thing that consumes 4 hours a day. The thing that Voice AI can reduce to minutes. 🔥 What You’ll Learn 1. The 8 PM ProblemWhy doctors, nurses, and assistants are drowning in administrative work — and why this crisis is growing across Europe. 2. The Two-Step Revolution of Voice AIMost doctors are stuck at Step 1: speech-to-text. The real breakthrough is Step 2: AI processing. One voice note → ✓ Patient note ✓ Referral letter ✓ Billing codes ✓ Inventory updates ✓ Medication checks ✓ Lab request All generated automatically. 3. The Productivity Impact66% of doctors already use AIBut only 21% use it for documentationCleveland Clinic: 70% adoption, 1M+ encounters, 30% productivity boost14 minutes saved per doctor per dayPractices lose €5,000–15,000 yearly in forgotten billings 4. The 10 Commandments of Voice AIMalcolm explains the practical framework: Record AFTER patient visit (DACH-specific)Don’t aim for perfection — dialects & chaos are fineUse natural language cues (“this is urgent”, “please prioritize”)Do multiple 30–90 sec brain dumps per dayRecord conferences & journal clubsBuild workflows, not transcriptsIntegrate CRM for contextCreate templatesParallelize tasksCollaborate with MPAs 5. Why the Market Is ExplodingAI medical coding market: $2.4B → $8.4B by 2033 Fastest tech adoption in healthcare history Doctors are not desperate for AI — They’re desperate to get their lives back. 6. Your Next MoveTomorrow morning, after your next patient: Hands off the keyboard. Record in natural language. Drop it into a HIPAA/GDPR-compliant AI tool. Save 20–30 minutes that day — and hours by month’s end. This is not disruption. This is not innovation theater. This is giving healthcare professionals their time back so they can give patients their attention back. And Malcolm leaves you with one final challenge: Next time you visit your doctor, ask them: “How are you using AI already?” If the answer is no… Find a new doctor. 🔥 KEY TOPICSThe hidden burnout crisis for doctors & MPAsWhy administrative load destroys healthcare capacityThe two-step misunderstanding of Voice AIStep 1: Voice RecordingStep 2: AI Workflow ProcessingWhy 97% of healthcare workers are stuck in Step 1Case studies from Cleveland Clinic and DACH regionThe 10 Commandments of Voice AIHow to start tomorrow with real, measurable gains 💬 NOTABLE QUOTES“This isn’t occasional — this is every. single. day.”“Only one out of thirty healthcare professionals used AI for documentation.”“Welcome to the medical Neanderthal world.”“You’re not talking to a human. You’re talking to an AI.”“Stop hiding behind the data protection dinosaur.”“If your doctor doesn’t use AI — find a new one.” 🔗 WHERE TO FIND MALCOLMLinkedIn: https://www.linkedin.com/in/malcolmwerchota/ Website: https://www.werchota.ai YouTube: https://www.youtube.com/@werchota X: https://x.com/malcolmwerchota Instagram: https://www.instagram.com/malcolmwerchotaai TikTok: https://www.tiktok.com/malcolmwerchota ✉️ CONTACTDirect: malcolm@werchota.ai Podcast Team: social@werchota.ai 🎓 AI FIT ACADEMYBecome AI-productive in 2 weeks. Ship First. Study Later. https://www.werchota.ai/ai-fit-academy 🔎 SEO TAGS (EN)Voice AI healthcare, medical documentation AI, doctor burnout, AI productivity, healthcare automation, HIPAA AI tools, GDPR medical AI, parallel workflow automation, healthcare AI adoption

    23 min

  3. 6D AGO

    E100: 100 AI Episodes Later: The Patterns, the Mistakes, the Future

    We never planned to record 100 episodes. This podcast started in mid-2025 as a side project — something to externalize what normally stayed locked inside consulting decks, workshops, and boardroom conversations. Fast-forward a few months, and here we are at Episode 100. So instead of doing a highlight reel or a victory lap, Malcolm did something else: He downloaded the transcripts of the previous 99 episodes Fed them into Claude Code And asked a simple question: “What did we actually say?” What came back was surprising. AI flagged provocative quotes. Patterns of criticism. Recurring themes around Europe, geopolitics, layoffs, chip wars, and power. Predictions that, uncomfortably, are already coming true. This episode is a reflection — not just on the podcast, but on how AI, business, and global power structures have shifted in a matter of months. 🔹 What This Episode Covers• The “AI Grenades” Why provocative statements matter — and why Malcolm doesn’t apologize for them. • Europe: A Love Letter Through Criticism Why Europe’s biggest problem isn’t talent, but urgency. Why Singapore, China, the UAE, and Saudi Arabia are executing while Europe debates. • From Consulting Artifact to Public Asset How the podcast became a way to scale insight beyond slide decks. • Finding the Voice From early prompting tutorials, to technical deep dives, to calling out AI failures, to geopolitics and history. • AI Drama Why long-form, narrative-driven AI episodes resonate more than daily news — and why this format is here to stay. • Using AI to Build the Podcast Itself How AI agents now write, fact-check, restructure, and improve episodes. Why 70% of production is now AI-assisted — and why that matters. • Predictions vs Reality Why some early predictions now look disturbingly accurate. Why being wrong publicly is part of thinking seriously about AI. • What Comes Next (2026) More AI Drama. More practical tool breakdowns. More selective guests. Less noise. More signal. 🧠 A Different Kind of EpisodeThis is not an AI news episode. This is not a tutorial. This is not hype. It’s a checkpoint. A look at how fast things moved in just 100 episodes — and a reminder that what feels “fast” now will look slow in hindsight. If you’ve been listening since Episode 1: thank you. If this is your first episode: welcome. 🔑 KEY THEMES AI as geopolitics, not just technologyEurope vs Singapore / China / UAE on AI executionChip wars as the new Cold WarWhy regulation without execution failsHow AI Drama storytelling outperforms pure newsUsing AI to improve your own product (“eat your own cookies”)Why opinions matter more than perfect predictionsEducation at scale vs consulting at scale 💬 NOTABLE QUOTES “CEOs love the future where three €10 automations replace Frank after 25 years.”“Europe is a love letter written through criticism.”“If Singapore pays people to reskill, why are we still debating?”“We didn’t want knowledge locked in consulting reports.”“AI Drama pulls — because stories stick.”“Use AI to improve yourself before selling it to others.”“Looking back, some predictions came true faster than expected.”🔗 WHERE TO FIND MALCOLMLinkedIn: https://www.linkedin.com/in/malcolmwerchota/ Website: https://www.werchota.ai YouTube: https://www.youtube.com/@werchota X: https://x.com/malcolmwerchota Instagram: https://www.instagram.com/malcolmwerchotaai TikTok: https://www.tiktok.com/malcolmwerchota ✉️ CONTACTDirect: malcolm@werchota.ai Podcast Team: social@werchota.ai 🎓 AI FIT ACADEMYLearn to use AI, not just talk about it. Ship First. Study Later. https://www.werchota.ai/ai-fit-academy 🔎 SEO TAGSAI podcast, Episode 100, AI strategy, AI geopolitics, AI consulting, AI drama, Claude Code, AI agents, chip wars, Europe AI, future of AI, technology power shifts, AI education, AI trends 2025, AI predictions

    25 min

  4. DEC 15

    E99: Anthropic Productivity Report - 1/2 - How Much Time Does AI Save? 5 Insights from the Anthropic Report

    What if AI could save you 4 hours of work per task? Not vague “efficiency gains,” but concrete dollar amounts you can plug into a spreadsheet. Anthropic just published a groundbreaking productivity report based on 100,000 real-world Claude tasks. Unlike traditional studies that say “40% faster,” this report quantifies AI’s impact in real monetary terms: Management tasks → $133 saved per taskLegal work → $119 savedSoftware development → $82 savedAnd the most shocking result? Teachers save 96% of their time on curriculum development. In Part 1 of this series, Malcolm breaks down five transformative insights from the report: The Dollar-Value Revolution Why attaching real pricing to productivity changes everything for ROI and planning.Teachers Save 96% of Their Time How 4.5 hours of lesson planning becomes 11 minutes—and why this matters for human wellbeing.Developers Drive 19% of All Productivity Gains A single occupation captures nearly a fifth of economy-wide benefits.The Bottleneck Problem When AI speeds up some tasks, the tasks it doesn't accelerate become your true constraint.1.8% Productivity Growth—Doubling Today’s Rate How AI could return us to the boom decades of the 1960s–70s and late 1990s.This isn’t hype. It’s hard data from real work across industries. Whether you're a manager, developer, teacher, executive, or anyone doing high-value knowledge work, this episode gives you the frameworks, numbers, and mental models to understand AI’s real impact on productivity. Recorded in Vienna, in Malcolm Werchota’s signature no-BS, practical style. EPISODE SUMMARY (EN)Anthropic’s new productivity report changes the conversation around AI completely. Instead of percentages and hype, it gives us real dollar values and real time savings across professions. This episode unpacks the top insights. KEY TOPICS COVERED 1. Productivity in Dollars (00:00–06:30)Why “40% faster” means nothing without dollar contextSavings per task for management, legal, developersAnnualized ROI calculationsCFO-ready numbers2. Teachers Saving 96% of Their Time (06:30–12:45)4.5 hours → 11 minutes$149 saved per curriculum taskMassive implications for burnout and work-life balanceAdditional time savings in related tasks (93%, 87%)3. Developers Capture 19% of All Gains (12:45–18:30)Largest single contributor to economy-wide productivityHigh wages + large workforce + fast adoption of AI coding toolsCompetitive pressure for companies lagging behind4. The Bottleneck Problem (18:30–24:00)AI accelerates some tasks, exposing othersMeetings, coordination, and other slow tasks limit throughputWhy AI alone doesn’t fix structural workflow issuesTheory of Constraints applied to AI5. 1.8% Productivity Growth (24:00–30:00)Doubling current productivity trajectoryMatches historical boom erasBased only on today’s AI—not future modelsThe bigger transformation: reorganizing work, not just speeding it up 💬 NOTABLE QUOTES (EN)“One hundred and thirty-three dollars. Per task.”“This isn’t just productivity—it’s giving teachers their evenings back.”“Nineteen percent of economy-wide productivity gains come from one occupation.”“If you’re a developer not using AI tools, the person next to you is already outpacing you.”“Growth is constrained not by what we do well, but by what we cannot speed up.”🔧 EPISODE FORMATPart 1 of a 2-part deep dive into AI productivity research. 🔗 WHERE TO FIND MALCOLM LinkedIn: https://www.linkedin.com/in/malcolmwerchota/ Website: https://www.werchota.ai/ YouTube: https://www.youtube.com/@werchota X: https://x.com/malcolmwerchota Instagram: https://www.instagram.com/malcolmwerchotaai/ TikTok: https://www.tiktok.com/malcolmwerchota Facebook: https://www.facebook.com/people/AI-Cookbook-by-Malcolm-Werchota/61580362300250/?sk=reels_tab ✉️ CONTACT Direct: malcolm@werchota.ai Podcast team: social@werchota.ai 🎓 AI FIT ACADEMY Become AI-productive in 2 weeks. Ship First. Study Later. https://www.werchota.ai/ai-fit-academy Primary: AI productivity, AI time savings, Anthropic productivity report, productivity statistics, AI ROI Secondary: AI for teachers, AI coding tools, developer productivity, GitHub Copilot, workflow automation

    21 min

  5. DEC 13

    E98: Suno - Who Owns an AI Voice? The True Story Behind TikTok’s Viral Hit “I Run”

    An AI-generated country song just hit #1 in the US. At the same time, a viral TikTok hit with nearly 40 million views was pulled from streaming after accusations that the vocalist’s voice was AI-cloned from a real artist—without permission. Welcome to the chaos of AI-generated music. In this episode, Malcolm unpacks the two stories redefining the music industry: A track goes viral worldwide. Smooth vocals. Professional production. Then the takedown notices come. The accusation: the vocals were generated with AI and cloned from an existing artist’s voice. Labels accuse the creators of deception. Creators say it was “just processing.” But hashtags like #jorjasmith tell a different story. When AI can replicate a vocal vibe so closely that millions think it’s the original artist, who owns the voice? The style? The aesthetic? 2024: Warner, Sony, and Universal sue Suno and Udio for mass copyright infringement. 2025: Warner settles—and becomes Suno’s strategic partner. Suddenly AI music isn’t theft. It’s a “victory for the creative community.” Add in Nvidia investing in Suno, 100 million users making AI music, and Spotify refusing to ban AI tracks… and you can see where the industry is heading. PART 3 — Where’s the Line?Malcolm shares a personal story about making a Suno-generated goodbye song for a teammate—one that made her cry. It raises the central question: When is AI replacing creativity? And when is it augmenting it? Malcolm argues for three essential guardrails: Label AI-generated music clearlyGet explicit consent for voice & likenessPay artists whose work trains the modelsRight now, none of these rules exist. This episode is for anyone who cares about: music, creativity, ethics, AI regulation, or just understanding the cultural earthquake happening right under our feet. 🔥 KEY TOPICS COVERED1. “I Run” — The Viral Track Pulled Down40 million TikTok viewsAccusation of AI-generated vocalsLabel’s anger: hashtags implying the real artist was involvedEthical fault line: “How do you copyright a vibe?”2. Suno Becomes the Center of Music’s AI BattlesUsed in hit-making productionAlso used in controversial voice cloningThe paradox: the same tool creates joy and chaos3. Warner Music’s Pivot2024: Suing Suno2025: Partnering with SunoLaunching licensed modelsSelling Songkick to an AI companyBig Tech + Big Labels convergence4. What Nvidia’s Investment SignalsSuno valued at $2.45 billionNearly 100 million usersGPU companies backing music AI → AI music is long-term infrastructure5. The Line Between Replacement and AugmentationUnauthorized voice clones = replacementAI-generated goodbye song = augmentationIntent mattersConsent mattersTransparency mattersHumanity still sits at the center💬 NOTABLE QUOTES“Two billion views, then silence.”“How do you copyright a vibe?”“Principles are flexible when there’s money on the table.”“The machine held the brush, but we painted the view.”“A number one song made by AI. And 100 million people using the same tools.” 🔗 WHERE TO FIND MALCOLMLinkedIn: https://www.linkedin.com/in/malcolmwerchota/ Website: https://www.werchota.ai/ YouTube: https://www.youtube.com/@werchota X: https://x.com/malcolmwerchota Instagram: https://www.instagram.com/malcolmwerchotaai/ TikTok: https://www.tiktok.com/malcolmwerchota Facebook: https://www.facebook.com/people/AI-Cookbook-by-Malcolm-Werchota/61580362300250/?sk=reels_tab ✉️ CONTACTDirect: malcolm@werchota.ai Podcast Team: social@werchota.ai 🎓 AI Fit AcademyBecome AI-productive in 2 weeks. Ship First. Study Later. https://www.werchota.ai/ai-fit-academy AI music, AI vocal cloning, Suno AI, AI music ethics, AI copyright, AI-generated vocals, TikTok AI music, Warner Suno deal

    22 min

  6. DEC 12

    E97: Weekly AI Recap – Agentic Standards, Gemini for DoD, Shopify’s AI Rebuild

    Your buddy says: “AI was boring this week.” You say: “Bro… no.” Because this week quietly reshaped the foundations of AI — from military adoption, to global chip wars, to enterprise software rewriting itself around AI. In this Weekly AI Recap, Malcolm covers the stories that matter beneath the hype: 🔥 1. The Agentic AI Foundation – Competitors Become CollaboratorsAnthropic, OpenAI, Google, Microsoft — normally trying to destroy each other — suddenly join forces. They launch the Agentic AI Foundation under the Linux Foundation to create shared standards for AI agents. What they contributed: Anthropic: Model Context Protocol (MCP) → now open sourceOpenAI: Agents.md coding instruction standardBlock: Goose — a local agent frameworkMicrosoft & Google: Support adoption across enterprise ecosystemsWhy it matters: This is the “plumbing” layer of AI — and it just got standardized. The barrier to building enterprise AI agents dropped overnight. 🔥 2. The US Military Deploys Google Gemini (GenAI.mil)The Department of Defense (now “Department of War” under Trump) launches a custom Gemini platform: 👉 gen.ai.mil 👉 3+ million personnel 👉 $200M/year contract Capabilities: • Document formatting • Research • Image/video analysis • Secure AI assistant for unclassified workflows Every major AI company — OpenAI, Anthropic, xAI — signs defense contracts. Signal: AI is now national defense infrastructure, not a toy. 🔥 3. Yann LeCun Leaves Meta – The “World Models” BetMeta’s Chief AI Scientist (and Turing Award winner) Yann LeCun leaves to build a startup focused on world models, arguing: LLMs can’t understand physical realityAI must learn physics, objects, movement, spatial reasoningRobotics requires more than text patternsMeta declines to invest. LeCun says Meta is “focused on the wrong spectrum of applications.” A major philosophical split inside the AI world. 🔥 4. Shopify & Adobe Rebuild Their Products Around AIShopifySidekick is no longer a helper — it’s the new interface: "Build me a custom app" → Done"Create this automation" → Done"Change my store theme" → DoneNo code neededPlus: Agentic Storefronts → Shopify automatically syndicates your products across ChatGPT, Copilot, Perplexity, etc. Shopping now happens inside AI assistants, not websites. Also: SimGym → AI shoppers simulate UX & checkout behavior before launch. AdobePhotoshop, Express, Acrobat now run inside ChatGPT. Chat becomes the software interface. Traditional apps become capabilities invoked by AI. Malcolm’s insight: “Every software company must choose: Stay a standalone app… or become a capability inside AI.”🔥 5. Trump Reopens Chip Exports + $160M GPU Smuggling RingThe US uncovers a $160M Nvidia GPU smuggling operation to China — organized, widespread, and not exactly “a guy with GPUs in a suitcase.” Simultaneously: Trump reverses Biden’s chip bansNvidia allowed to sell H200s to ChinaChina restricts domestic H200 access to protect its chip industryNvidia adds location verification tech to Blackwell chips — a “GPS for GPUs.” European data centers are uneasy: “If the US can track them… can they kill-switch them?” AI chips have become geopolitical weapons. 🔥 6. EU Opens Antitrust Investigation Into Google (Again)Focus: How Google uses publisher content (newsrooms, blogs, creators) to train AI Overviews without compensation. Potential fine: 10% of global revenue = ~$35B. At the same time: EU considers loosening data center permitting, realizing they’re falling years behind the US and Asia in infrastructure rollout. EU = cracking down + accelerating at the same time. 🔥 7. GPT-5.2 RumorsRumors suggest GPT-5.2 may drop today — December 11 — with the claim: “The best coding model ever released.”If it happens, Malcolm will dedicate an entire episode next week. 🔥 KEY TOPICS COVEREDAgentic AI Foundation & cross-company standardsMCP, Agents.md, Goose, Linux FoundationUS Military ↔ Google Gemini (GenAI.mil)Yann LeCun’s departure from MetaWorld models vs LLMsShopify Sidekick & Agentic StorefrontsAdobe AI → Chat-as-UITrump policy shift on Nvidia chips$160M GPU smuggling ringNvidia’s location telemetryEU antitrust investigationGPT-5.2 rumors & impact 💬 NOTABLE QUOTES“Just because there’s no Gemini 5 doesn’t mean nothing happened.”“This is the plumbing of the AI age.”“GenAI.mil makes Gemini the default AI assistant for 3 million workers.”“LLMs understand text — not the world.”“AI is becoming the interface. Apps are becoming capabilities.”“AI chips are now geopolitical instruments.”“Stop being monogamous with your AI models — even the US military isn’t.”⏱️ TIMESTAMPS00:00 – Intro: “This week was not boring.” 01:00 – Agentic AI Foundation 05:00 – US Military launches Gemini platform 10:00 – Yann LeCun leaves Meta 15:00 – Shopify & Adobe rebuild around AI 20:00 – Trump, China & GPU smuggling 26:00 – EU antitrust investigation 30:00 – GPT-5.2 rumors 32:00 – Closing thoughts 🔗 WHERE TO FIND MALCOLMLinkedIn: https://www.linkedin.com/in/malcolmwerchota/ Website: https://www.werchota.ai YouTube: https://www.youtube.com/@werchota X: https://x.com/malcolmwerchota Instagram: https://www.instagram.com/malcolmwerchotaai TikTok: https://www.tiktok.com/malcolmwerchota ✉️ CONTACTDirect: malcolm@werchota.ai Podcast Team: social@werchota.ai 🎓 AI FIT ACADEMYBecome AI-productive in 2 weeks. Ship First. Study Later. https://www.werchota.ai/ai-fit-academy 🔎 SEO TAGS (EN)AI news, AI recap, December 2025 AI, Pentagon AI, Google Gemini military, Nvidia GPU smuggling, China chip ban, Yann LeCun leaves Meta, world models, Shopify Sidekick, Adobe AI, GPT-5.2 rumors, AI infrastructure, AI agents, MCP, Agents.md, enterprise AI

    34 min

  7. DEC 11

    E96: Anthropic Acquires Bun: Why This Signals the Death of the Chatbot Era

    Anthropic just made its first acquisition in company history, and it’s not what anyone expected. They didn’t buy more training data, or a model startup, or a shiny app. They bought Bun — a JavaScript runtime. The plumbing. The unsexy infrastructure layer powering Claude Code, the tool Malcolm and thousands of developers now use daily. Why? Because Claude Code has already hit $1B in annualized revenue within 6 months, becoming one of the fastest enterprise software ramps ever. Companies like Netflix, Spotify, KPMG, L'Oréal, and Salesforce already rely on it. And under the hood, all the execution — the tests, retries, code runs — is powered by Bun. If Bun breaks, Claude Code breaks. In this episode, Malcolm breaks down why Anthropic had to buy Bun, what this means for the future of AI agents, and why this marks the end of the chatbot era and the beginning of the execution era. You’ll learn: What Bun actually is — and why speed mattersWhy Anthropic can’t rely on an external open-source runtimeHow vertical integration mirrors Apple’s M-series chip strategyWhy agents need ultra-fast runtimes to test, evaluate, and fix codeWhat Anthropic is really building with Claude + Claude Code + Agent SDK + BunWhy 2025 will be the year AI stops chatting and starts workingWhat workflows you should build now to prepareMalcolm also explains the strategic contrast between Anthropic’s vertical platform and OpenAI’s horizontal feature ecosystem. This episode is a must-listen for anyone using AI tools in development, operations, automation, or business processes. Live from Bregenz — Malcolm out. Key Topics Covered🔹 1. What is Bun & Why It MattersJavaScript runtimes translate code into machine actionsNode.js dominated for 15 yearsBun rebuilt from scratch for speed + efficiencySpeed is essential for AI agents that repeatedly test & run codeEvery millisecond affects user experience🔹 2. The Revenue Explosion Behind Claude CodeReleased ~6 months agoAlready at $1B annualized revenueOne of the fastest software ramps everAdopted by Netflix, Spotify, KPMG, L'Oréal, SalesforceAI coding assistants becoming default engineering infrastructure🔹 3. Why Anthropic HAD to Buy BunBun is open-source → unpredictable futureRisk of price changes, pivots, shutdownsBun disappearing would break Claude CodeAcquisition secures Anthropic’s operational backboneTeam remains intact, project remains open source🔹 4. Anthropic’s Vertical Integration StrategyComparable to Apple ditching Intel & building M-series chips: Claude → the AI brainClaude Code → code interfaceAgent SDK → autonomous execution layerBun → runtime foundationThis is the full stack for AI agents. 🔹 5. The Death of the Chatbot EraMalcolm argues: Chatbots = old paradigmFuture = AI that does work, not generates textAgents will:write codedeploy systemsfix bugsrun operationsintegrate APIsautomate entire workflowsBun = the “conveyor belt” on which thousands of agents run in parallel. 🔹 6. OpenAI vs Anthropic StrategyOpenAI → horizontal expansion (video, images, shopping, chat)Anthropic → deep vertical stack for agents & code executionAnthropic is building the operating system for AI agents. 💬 Notable Quotes "If Bun breaks, Claude Code breaks. That’s why Anthropic had to buy it.""This is Anthropic pulling an Apple — controlling the full stack for speed.""This acquisition signals the end of the chatbot era.""AI is moving from chatting to doing. From text to execution.""While everyone else optimizes prompts, Anthropic is building the factory floor for agents.""They just bought the fastest conveyor belt in the world for AI agents." 🔗 LINKS — Where to Find MalcolmLinkedIn: https://www.linkedin.com/in/malcolmwerchota/ Website: https://www.werchota.ai/ YouTube: https://www.youtube.com/@werchota X (Twitter): https://x.com/malcolmwerchota Facebook: https://www.facebook.com/people/AI-Cookbook-by-Malcolm-Werchota/61580362300250/?sk=reels_tab Instagram: https://www.instagram.com/malcolmwerchotaai/ TikTok: https://www.tiktok.com/malcolmwerchota 📬 ContactDirect: malcolm@werchota.ai Podcast Team: social@werchota.ai 🎓 AI Fit Academy CTABecome AI-productive in 2 weeks. Ship First. Study Later. https://www.werchota.ai/ai-fit-academy

    19 min

  8. DEC 9

    E95: Quick Bytes - Q&A – Does Your AI Strategy Require On-Premise Servers?

    Your legal team says you need local AI servers for compliance. But do you really? In this 10-minute Q&A, Malcolm explains why 98% of companies don’t need on-premise AI at all—and why your DPA matters more than your server room. Featuring real insights from Emil Muthu (Neuronic Solutions), who builds AI systems for banks, insurance firms, and government ministries. You’ll learn: Why your Data Processing Agreement protects you more than server locationThe three things regulators actually checkHow OpenAI, Anthropic & Azure stay GDPR-compliantWhy encryption at rest mattersThe difference between cloud with governance vs. on-premise with chaosA real GDPR audit example from a Romanian market leader SHOW NOTES Episode SummaryMalcolm destroys the biggest compliance myth: that companies need local AI servers for GDPR. Most don’t. What matters is governance, DPAs, encryption, and legal fine print. Key Topics CoveredThe 2% RuleWhat DPAs really doThe real compliance checklistCloud with governanceGDPR audit realitiesWhen on-premise actually makes senseHow to avoid burning millions Notable Insights“Only 2% of clients need local deployment.” — Emil Muthu“It’s not where your servers sit. It’s your DPA.”“Cloud with governance beats on-premise with chaos.”“Regulators checked the privacy policy—not the servers.” Who Should ListenCEOsCTOsCompliance & LegalData & AI leadersIT decision-makersFinance leadersKey TakeawaysOnly 2% need local serversDPA > server locationFocus on encryption + legal fine printDo POCs before infrastructure spendGovernance beats hardware Where to find Malcolm Werchota:🔗 LinkedIn: https://www.linkedin.com/in/malcolmwerchota/ 🌐 Website: https://www.werchota.ai/ ▶️ YouTube: https://www.youtube.com/@werchota 𝕏 X / Twitter: https://x.com/malcolmwerchota 📘 Facebook: https://www.facebook.com/people/AI-Cookbook-by-Malcolm-Werchota/61580362300250/?sk=reels_tab 📸 Instagram: https://www.instagram.com/malcolmwerchotaai/ 🎵 TikTok: https://www.tiktok.com/malcolmwerchota Get in touch📧 malcolm@werchota.ai Email the Show📧 social@werchota.ai AI Fit AcademyYour Week-2 Workflow Guarantee. Ship First, Study Later. https://www.werchota.ai/ai-fit-academy Keywords: AI compliance, data privacy, GDPR, cloud vs on-premise, DPA, AI governance, encryption, EU AI Act, business AI, enterprise AI

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About

Malcolm Werchota's AI Cookbook is where artificial intelligence meets authentic business transformation. Known for his direct style and willingness to show AI in action—even during live presentations—Malcolm helps organizations understand that AI isn't about replacing humans but amplifying their capabilities. From voice-note productivity hacks to real-time meeting intelligence, this podcast delivers actionable insights for immediate implementation.

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