The AI Cookbook: AI Tools | Enterprise AI | Leadership

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Podcast by Malcolm Werchota

The AI Cookbook: AI Tools | Enterprise AI | Leadership

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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12 December 2025

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 Collaborators

Anthropic, 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 source
  • OpenAI: Agents.md coding instruction standard
  • Block: Goose — a local agent framework
  • Microsoft & Google: Support adoption across enterprise ecosystems

Why 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” Bet

Meta’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 reality
  • AI must learn physics, objects, movement, spatial reasoning
  • Robotics requires more than text patterns

Meta 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 AI

Shopify

Sidekick is no longer a helper — it’s the new interface:

  • "Build me a custom app" → Done
  • "Create this automation" → Done
  • "Change my store theme" → Done
  • No code needed

Plus: 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.

Adobe

Photoshop, 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 Ring

The 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 bans
  • Nvidia allowed to sell H200s to China
  • China restricts domestic H200 access to protect its chip industry

Nvidia 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 Rumors

Rumors 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 COVERED

  • Agentic AI Foundation & cross-company standards
  • MCP, Agents.md, Goose, Linux Foundation
  • US Military ↔ Google Gemini (GenAI.mil)
  • Yann LeCun’s departure from Meta
  • World models vs LLMs
  • Shopify Sidekick & Agentic Storefronts
  • Adobe AI → Chat-as-UI
  • Trump policy shift on Nvidia chips
  • $160M GPU smuggling ring
  • Nvidia’s location telemetry
  • EU antitrust investigation
  • GPT-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.”

⏱️ TIMESTAMPS

00:00 – 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 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

✉️ CONTACT

Direct: malcolm@werchota.ai

Podcast Team: social@werchota.ai

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🔎 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

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11 December 2025

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 matters
  • Why Anthropic can’t rely on an external open-source runtime
  • How vertical integration mirrors Apple’s M-series chip strategy
  • Why agents need ultra-fast runtimes to test, evaluate, and fix code
  • What Anthropic is really building with Claude + Claude Code + Agent SDK + Bun
  • Why 2025 will be the year AI stops chatting and starts working
  • What workflows you should build now to prepare

Malcolm 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 Matters

  • JavaScript runtimes translate code into machine actions
  • Node.js dominated for 15 years
  • Bun rebuilt from scratch for speed + efficiency
  • Speed is essential for AI agents that repeatedly test & run code
  • Every millisecond affects user experience

🔹 2. The Revenue Explosion Behind Claude Code

  • Released ~6 months ago
  • Already at $1B annualized revenue
  • One of the fastest software ramps ever
  • Adopted by Netflix, Spotify, KPMG, L'Oréal, Salesforce
  • AI coding assistants becoming default engineering infrastructure

🔹 3. Why Anthropic HAD to Buy Bun

  • Bun is open-source → unpredictable future
  • Risk of price changes, pivots, shutdowns
  • Bun disappearing would break Claude Code
  • Acquisition secures Anthropic’s operational backbone
  • Team remains intact, project remains open source

🔹 4. Anthropic’s Vertical Integration Strategy

Comparable to Apple ditching Intel & building M-series chips:

  • Claude → the AI brain
  • Claude Code → code interface
  • Agent SDK → autonomous execution layer
  • Bun → runtime foundation

This is the full stack for AI agents.

🔹 5. The Death of the Chatbot Era

Malcolm argues:

  • Chatbots = old paradigm
  • Future = AI that does work, not generates text
  • Agents will:
    • write code
    • deploy systems
    • fix bugs
    • run operations
    • integrate APIs
    • automate entire workflows

Bun = the “conveyor belt” on which thousands of agents run in parallel.

🔹 6. OpenAI vs Anthropic Strategy

  • OpenAI → horizontal expansion (video, images, shopping, chat)
  • Anthropic → deep vertical stack for agents & code execution

Anthropic 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 Malcolm

LinkedIn: 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

📬 Contact

Direct: malcolm@werchota.ai

Podcast Team: social@werchota.ai

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09 December 2025

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 location
  • The three things regulators actually check
  • How OpenAI, Anthropic & Azure stay GDPR-compliant
  • Why encryption at rest matters
  • The difference between cloud with governance vs. on-premise with chaos
  • A real GDPR audit example from a Romanian market leader

SHOW NOTES

Episode Summary

Malcolm 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 Covered

  • The 2% Rule
  • What DPAs really do
  • The real compliance checklist
  • Cloud with governance
  • GDPR audit realities
  • When on-premise actually makes sense
  • How 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 Listen

  • CEOs
  • CTOs
  • Compliance & Legal
  • Data & AI leaders
  • IT decision-makers
  • Finance leaders

Key Takeaways

  1. Only 2% need local servers
  2. DPA > server location
  3. Focus on encryption + legal fine print
  4. Do POCs before infrastructure spend
  5. Governance 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

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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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06 December 2025

E94: AI-Drama - The EU AI Act: How Europe Tried to Regulate the Future — and Accidentally Buried Its Own

November 7th, 2025. Brussels.

9:00 AM. A bureaucrat spills his coffee.

And by 17:43 the same day, the most ambitious tech regulation in European history effectively collapses into a PDF no one wants to talk about.

In this episode, Malcolm tells the full unfiltered story of the EU AI Act — a four-year political labyrinth filled with 3,000 amendments, endless committees, lobbyists, geopolitics, and a shocking final sequence where the United States forces Europe to hit a “full regulatory pause.”

This isn’t a legal analysis.

It’s a political thriller.

A comedy.

A tragedy.

And a case study of how Europe went from leading global tech regulation to accidentally kneecapping its own innovation ecosystem.

You’ll learn:

  • How Google’s Code Red panic rewired global AI strategy
  • Why Europe wrote rules for a technology that didn’t exist yet
  • How US pressure under the new administration broke the Act
  • Why Mistral, Europe’s great AI hope, packed its bags and moved to Seattle
  • Why “Education First” effectively turned the Act into a zombie law

And — most importantly — what your company should actually do next.

Because while Brussels was dancing the Bureaucrat Tango, the rest of the world kept building.

If you want a brutally honest, geopolitical, slightly comedic breakdown of why the EU just lost its regulatory crown, this is the episode.

Key Topics Covered

🇪🇺 The Original Sin

  • The EU wrote rules in 2021 for AI models that were invented in 2023–2025
  • Why all classification systems failed instantly
  • Overconfidence + under-technology = chaos

🧨 The Lobby Explosion

  • 900+ full-time lobbyists
  • €150 million spent
  • 90% of AI Act meetings with Big Tech
  • 3,000+ amendments turning the Act into Frankenstein

🇺🇸 American Pressure

  • New U.S. administration: “Regulation freezes innovation”
  • US commerce + defense warnings to EU
  • NATO implications used as leverage
  • EU forced into “regulatory pause”

🤖 The Rise of Frontier AI

  • Google’s Code Red
  • Microsoft–OpenAI supercycle
  • Anthropic, xAI, Mistral, Cohere
  • EU suddenly two years behind

🧟 The EU AI Act Becomes a Zombie

  • No enforcement
  • No fines
  • No clear authority
  • “Education First” replaces compliance
  • Rollout pushed to 2027–2028

🇫🇷 The Final Blow: Mistral Relocates

  • Europe’s most promising AI lab moves operations to Seattle
  • “We need talent density & compute”
  • Symbolic end of EU AI sovereignty

🧭 What Companies Should Do Now

  • Stop waiting for Brussels
  • Build internal AI safety & governance
  • Adopt frontier models
  • Document everything
  • Focus on capability uplift, not compliance paperwork

💬 NOTABLE QUOTES

“We used to talk about the Brussels Effect. Now we talk about the Brussels Bluff.”
“The EU tried to regulate a future they didn’t understand — and the future arrived faster than the law.”
“Geopolitically, the US didn’t just kill the Act. They used a feather.”
“By the time the Act was ready, the world had already moved on.”
“Mistral moving to Seattle is Europe’s AI moment of truth.”

🔗 LINKS

Malcolm Werchota

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04 December 2025

E93: Consulting Jobs & AI: Why the Pyramid Model Is Collapsing

The consulting industry’s 70-year-old pyramid model is cracking in real time.

Four days ago, the Financial Times dropped a quiet bomb:

“Top consultancies freeze starting salaries as AI threatens the pyramid model.”

For the third year in a row, McKinsey, BCG, Bain and the Big Four have frozen graduate salaries.

Graduate hiring in the UK is down 50%.

Accenture just laid off 11,000 people and announced a massive partnership with OpenAI.

Microsoft paused all U.S. consulting hiring for an entire fiscal year.

In this episode, Malcolm breaks down why the pyramid is collapsing, what shapes will replace it, and why clients today show up better prepared with Gemini, Claude and ChatGPT than many consultants.

You’ll learn:

  • Why junior consultant tasks (research, analysis, slide-making) have been automated
  • Why partners are protecting profits at the expense of the base
  • How Accenture admitted it can’t retrain its consultants fast enough
  • Why clients now challenge Big Four experts using AI before meetings
  • Why entry consulting roles may vanish before new ones are created
  • What the “hourglass” and “obelisk” consulting models look like
  • What this means for MBA graduates, senior partners, and boutique firms
  • Why the real winners are small, AI-native consulting teams

If you're in consulting, planning to join, or hiring consultants for AI transformation — this episode is your wake-up call.

The pyramid is crumbling. Something new is rising.

KEY TOPICS COVERED

🔹 The Classic Pyramid Model (and why it worked for 70 years)

  • Tens of thousands of junior analysts → few partners
  • Juniors billed at 400–600 EUR/hour
  • Model based on leverage + generalists + manual labor

🔹 Why the Pyramid Is Cracking Now

  • AI replaces research, synthesis, due diligence, basic analysis
  • Claude/Sonnet/Gemini produce P&Ls, analysis, dashboards instantly
  • Slide-making still manual, but everything else is automated
  • Clients know this — and refuse to pay old prices

🔹 Industry Signals & Data Points

  • McKinsey, BCG, Bain freeze salaries for 3rd consecutive year
  • PwC cuts graduate hiring by 50%
  • Accenture cuts 11,000 consultants, signs OpenAI mega-partnership
  • Microsoft freezes all consulting hiring through FY2025
  • Consulting revenue stagnant, but cloud/AI revenue booming

🔹 The Accenture Case

  • CEO Julie Sweet: “We are exiting on a compressed timeline… reskilling is not viable.”
  • 40,000 ChatGPT Enterprise licenses
  • Investors reward layoffs + AI investment (stock jumps 4%)

🔹 Client Behavior Has Changed

  • Clients run their own AI analysis before consultants arrive
  • “We yanked the dataset into Gemini — here are the 4 scenarios; validate them.”
  • Projects shrink from €500k strategy engagements to €50k validations
  • Consulting value shifts from “We think…” to “Show us you actually use AI.”

🔹 New Consulting Shapes Emerging

  • Obelisk Model – fewer layers, senior-heavy
  • Hourglass Model – AI automates the middle, small base + small middle + large top
  • Box Model – stable senior cohort with small technical pods

🔹 Why AI Breaks the Leverage Model

  • 1 senior consultant + AI = output of 5 analysts
  • Less coaching, less overhead, no long training pipeline
  • Shrinking base = collapsing partner economics

🔹 “The Gap in the Middle”

  • Roles disappear before new ones arrive
  • Young graduates can’t “learn the craft” without entry roles
  • Partners may have no successors in 10 years

🔹 What Malcolm Sees in Real Projects

  • Big consultancies unable to demonstrate hands-on AI usage
  • Boutique AI-native teams outperforming traditional players
  • CTOs saying: “Your consultants know nothing more than college students using AI.”

NOTABLE QUOTES

“With good prompting, clients can get 80% of the value directly from AI tools.”
“Accenture’s stock went up the moment they cut 11,000 people. The market spoke.”
“Clients arrive armed with Gemini deep research — and they’re not paying for interns to learn on the job.”
“If you’re planning to become a partner in 15 years… I’m not sure the pyramid will still exist.”
“No one at a big firm uses AI 10% as intensively as small boutiques do.”

📣 WHERE TO FIND MALCOLM

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03 December 2025

E92: The $1.5 Billion Anthropic Case: The First Great AI Lawsuits That Will Redefine the Next 10 Years

We talk a lot about new AI models, benchmarks, context windows, agents and multimodality.

But while everyone is staring at technical progress, something far bigger is unfolding:

Courts all over the world are beginning to define the legal boundaries of AI.

And they are doing it fast.

Faster than any regulator, faster than any company, and definitely faster than the EU AI Act.

In this episode, Malcolm breaks down three explosive legal cases that mark the beginning of the global AI jurisprudence era:

  • Anthropic pays $1.5 billion to settle a copyright lawsuit in the U.S.
  • OpenAI loses a landmark ruling in Munich against GEMA
  • Hollywood giants unite against Midjourney, signaling a massive wave of lawsuits for image models

These aren’t “AI ethics” discussions.

This is real money, real precedent, real danger — and real opportunity.

If your company builds AI models, fine-tunes them, trains them on internal data, advises clients, or simply stores mountains of PDFs on SharePoint…

this episode is mission-critical.

Because these cases are defining the rules of the next decade — right now, in real time.

Action. Let’s go.

🔥 Key Topics Covered

🔹 1. The $1.5 Billion Anthropic Settlement (U.S.)

  • Largest copyright settlement in U.S. history
  • Authors accuse Anthropic of training Claude on pirated books
  • Court rejects “fair use” defense:
  • “This is not transformation. This is piracy.”
  • Datasets included BookTree, Library Genesis, Pirate Library Mirror
  • Effective price per illegally trained book: $3,000
  • Sets a global precedent: The source matters.

🔹 2. GEMA vs. OpenAI (Germany) — A Landmark Ruling

  • Munich District Court: OpenAI reproduces copyrighted song lyrics
  • OpenAI defense: “Users are responsible, not us.”
  • Court: “Bullshit. The developer is responsible.”
  • Key takeaway:
    • LLMs memorize and reproduce copyright-protected text
    • Companies must stop ingesting unlicensed material
    • No model can “unlearn” — deletion is impossible

🔹 3. Hollywood vs. Midjourney — The Visual Copyright War

  • Disney, Warner Bros., Universal join forces
  • Accusation: training on Superman, Batman, Wonder Woman, Bugs Bunny, Mickey Mouse
  • Potential damages: $150,000 per work
  • Midjourney claims “fair use,” courts likely disagree
  • This could become the Napster moment of image models

💬 Notable Quotes

“This is not fair use. This is piracy.”
“LLMs can’t unlearn — once it’s in, it’s in forever.”
“You don’t even know what’s sitting on your company’s SharePoint.”
“The EU AI Act is sleeping. Courts are not.”
“Lawyers move slow. AI law is moving at rocket speed.”

🔗 LINKS

Malcolm Werchota

🧠 AI FIT ACADEMY

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