
Podcast by Malcolm Werchota

Podcast by Malcolm Werchota

12 December 2025
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:
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:
Why it matters:
This is the “plumbing” layer of AI — and it just got standardized.
The barrier to building enterprise AI agents dropped overnight.
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.
Meta’s Chief AI Scientist (and Turing Award winner) Yann LeCun leaves to build a startup focused on world models, arguing:
Meta declines to invest.
LeCun says Meta is “focused on the wrong spectrum of applications.”
A major philosophical split inside the AI world.
Sidekick is no longer a helper — it’s the new interface:
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.
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.”
The US uncovers a $160M Nvidia GPU smuggling operation to China — organized, widespread, and not exactly “a guy with GPUs in a suitcase.”
Simultaneously:
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.
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.
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.
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
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
Direct: malcolm@werchota.ai
Podcast Team: social@werchota.ai
Become AI-productive in 2 weeks.
Ship First. Study Later.
https://www.werchota.ai/ai-fit-academy
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
00:00
33:53

11 December 2025
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:
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.
Comparable to Apple ditching Intel & building M-series chips:
This is the full stack for AI agents.
Malcolm argues:
Bun = the “conveyor belt” on which thousands of agents run in parallel.
Anthropic is building the operating system for AI agents.
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
Direct: malcolm@werchota.ai
Podcast Team: social@werchota.ai
Become AI-productive in 2 weeks.
Ship First. Study Later.
00:00
18:39

09 December 2025
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:
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.
“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.”
🔗 LinkedIn:
https://www.linkedin.com/in/malcolmwerchota/
🌐 Website:
▶️ YouTube:
https://www.youtube.com/@werchota
𝕏 X / Twitter:
📘 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
📧 malcolm@werchota.ai
📧 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
00:00
16:07

06 December 2025
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:
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.
“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.”
Ship First. Study Later.
Working AI workflows by Week 2 — or 100% refund.
Start your transformation → https://www.werchota.ai/ai-fit-academy
00:00
45:11

04 December 2025
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:
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.
“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.”
Ship First. Study Later.
Working AI workflows by Week 2, or 100% refund.
00:00
31:34

03 December 2025
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:
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.
“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.”
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Start here → https://www.werchota.ai/ai-fit-academy
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17:58