
Podcast by Malcolm Werchota

Podcast by Malcolm Werchota

19 October 2025
When the Dutch government seized chipmaker Nexperia on September 30, 2025, they thought they were protecting European interests. Instead, they triggered a supply chain catastrophe that could shut down automotive production worldwide.
In this episode of The AI Cookbook, Malcolm Werchota breaks down the spectacular policy failure that cut off 6 billion chips per month, threatens car factories across three continents, and reveals everything wrong with Europe's approach to the US-China tech war.
What You'll Learn:
How a single Dutch government action triggered China to block 6 billion chips per month - 40% of the global automotive semiconductor supply Why modern cars need 1,000+ chips and can't simply switch suppliers (qualification takes 6-18 months) The geopolitical chess match: US export controls, Dutch seizure, Chinese retaliation - and why Europe got caught in the crossfire What "just-in-time manufacturing" really means when supply chains become weapons Why this crisis is a preview of AI infrastructure vulnerabilities in Europe
Why This Matters:
This isn't just about cars or semiconductors. Malcolm explains how the Nexperia crisis reveals the fragility of global supply chains in an era of great power competition - and what it means for anyone building AI infrastructure in a world where technology is increasingly weaponized.
"You can't seize technological sovereignty. You have to build it systematically. Europe just learned this lesson the hard way."
Perfect For:
Supply chain professionals, business leaders managing geopolitical risk, AI teams building European infrastructure, anyone navigating the US-China tech war.
KEY TOPICS COVERED
───────────────────────────────────────────────────────
The Nexperia Crisis Timeline (00:45) September 30: Netherlands seizes Nexperia under emergency powers October 4: China blocks chip exports from Guangdong facility October 17: Alliance for Automotive Innovation warns of US plant shutdowns 6 billion chips per month suddenly trapped - 40% of automotive semiconductor market BMW, Toyota, Mercedes-Benz, Volkswagen, Ford, GM, Stellantis all affected
Understanding the Supply Chain Catastrophe (03:20) Why you can't just switch chip suppliers: 6-18 month qualification process Modern cars require 1,000+ semiconductor components Nexperia's role: Basic transistors and diodes (not advanced AI chips) The problem: Design in Netherlands, manufacturing in Germany, assembly in China 80% of finished products now trapped behind Chinese export blocks
The Geopolitical Chess Match (05:45) US-China tech war escalation and semiconductor weaponization Europe caught between two superpowers - no good options Netherlands' miscalculation: Legal control ≠ operational control Why China targeted automotive chips for maximum pain The death of "strategic autonomy" as a policy framework
Supply Chain Vulnerabilities Exposed (08:30) Just-in-time manufacturing's incompatibility with geopolitical risk Why automotive chips became the battlefield Geographic dependencies and single points of failure The cost of efficiency without resilience How supply chains become weapons in great power competition
What This Means for AI Infrastructure in Europe (11:15) If we can't secure basic chips, how do we build AI capabilities? Practical strategies for managing geopolitical risk in technology Why resilience now matters more than efficiency Lessons for anyone building on global supply chains The new reality: Security and redundancy over cost optimization
───────────────────────────────────────────────────────
EPISODE INSIGHTS
───────────────────────────────────────────────────────
Malcolm's Core Message: "The Death of Strategic Autonomy"
Europe attempted to navigate the US-China tech war by seizing Nexperia to protect supply chains. Instead, they demonstrated why you can't build technological sovereignty through government seizures. Real resilience requires systematic investment in full-stack capabilities - fabrication, packaging, assembly, testing - built BEFORE taking actions that trigger retaliation.
The Nexperia crisis is a case study in what NOT to do. The question is whether we'll learn the lessons before the next crisis hits.
Notable Quote:
"This crisis exposes the fragility of globalized supply chains when caught between Washington and Beijing. Modern cars require over 1,000 semiconductor components. Qualifying new suppliers takes months or years. Just-in-time manufacturing means no backup inventory. The math is brutal: no chips = no cars."
───────────────────────────────────────────────────────
RESOURCES & LINKS MENTIONED
───────────────────────────────────────────────────────
Alliance for Automotive Innovation warning statement Dutch Goods Availability Act documentation US Entity List and export control regulations Nexperia company information and facilities
───────────────────────────────────────────────────────
WHERE TO FIND MALCOLM WERCHOTA
───────────────────────────────────────────────────────
LinkedIn: https://www.linkedin.com/in/malcolmwerchota/
Website: https://www.werchota.ai/
YouTube: https://www.youtube.com/@werchota
X: 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
───────────────────────────────────────────────────────
Have questions about AI implementation or want to share your transformation story? Reach Malcolm at malcolm@werchota.ai
───────────────────────────────────────────────────────
EMAIL THE SHOW
───────────────────────────────────────────────────────
Write to us with episode requests, feedback, or ideas at social@werchota.ai
───────────────────────────────────────────────────────
READY TO LEVEL UP YOUR AI SKILLS?
───────────────────────────────────────────────────────
Explore AI Fit Academy – Malcolm's program helping professionals and teams apply AI tools effectively in work and business. Ship First, Study Later – working workflows by Week 2 or 100% refund. Learn more at https://www.werchota.ai/ai-fit-academy
───────────────────────────────────────────────────────
TAGS FOR SOCIAL & SEARCH
───────────────────────────────────────────────────────
#ChipShortage #AutomotiveIndustry #SupplyChain #Semiconductors #Geopolitics #USChinaTechWar #Manufacturing #Nexperia #Netherlands #China #SupplyChainManagement #GeopoliticalRisk #AutomotiveCrisis #TechPolicy #AIInfrastructure
00:00
26:09

19 October 2025
🎧 Listen now:
Spotify:
https://open.spotify.com/episode/249ZA6nHHoKmaiGYqY6Jum?si=91mGWjWJT-ur14At1KWpjA
Apple Podcast
https://podcasts.apple.com/at/podcast/brazils-lesbian-dating-app-disaster-ai-security-flaw/id1846704120?i=1000732455609
Marina thought she finally found safety.
A lesbian dating app in Brazil — built by queer women, for queer women.
Manual verification. No fake profiles. No men.
Then everything went wrong.
In September 2025, Sapphos launched as a sanctuary with government-ID checks.
Within 48 hours, 40,000 women downloaded it.
A week later, a catastrophic flaw exposed the most sensitive data of 17,000 users — IDs, photos, names, birthdays.
🔍 One researcher discovered he could view anyone’s profile just by changing a number in a URL.
That’s how fast “safety” can vanish when speed beats security.
This episode of AI Drama investigates how AI-generated code, underqualified devs, and “vibe coding” collided with a vulnerable community.
It’s not a takedown of two activists — it’s a warning about asking for extreme trust without professional security.
🇧🇷 Brazil remains one of the most dangerous countries for LGBTQ+ people.
Lesbian and bisexual women face three times higher rates of violence than straight women.
For many Sapphos users, being outed wasn’t embarrassing — it was life-threatening.
✅ Verified security audits (SOC 2 / ISO 27001)
✅ Transparent privacy policy + deletion options
✅ Minimal data collection — no unnecessary IDs
✅ Public security contact or bug-bounty page
✅ Experienced, visible founding team
❌ Avoid apps claiming “100 % secure” or “completely private”
🔑 Use unique emails + a password manager
🕵️ Prefer privacy-preserving verification methods
📍 Turn off precise location & strip photo metadata
🆔 After any breach: change credentials, rotate IDs if possible, monitor credit
“Marina’s only ‘mistake’ was trusting people who promised protection.”
“The lesson isn’t don’t build — it’s don’t build insecure. Demand proof, not promises.”
🎙️ AI Drama is a narrative-journalism podcast about the human cost when technology fails those who trust it most.
Hosted by Malcolm Werchota.
dating-app breach • LGBTQ privacy • Brazil • ID verification • AI code security • queer safety
00:00
08:47

18 October 2025
Google DeepMind's AI just discovered a new cancer treatment that scientists validated in the lab - and it could transform how we treat 85% of lung cancers. This is AI's moonshot moment.
In Episode 83 of The AI Cookbook, Malcolm Werchota breaks down the 5 biggest AI stories from October's second week, proving we're witnessing the industrialization of artificial intelligence. From breakthrough medical discoveries to tools that finally make AI adoption measurable, this weekly recap delivers the business insights you need in under 15 minutes.
What You'll Learn:
Why This Matters:
Malcolm draws a powerful parallel to Ford's assembly line innovation. The cancer discovery proves AI can do breakthrough scientific work. The new tools - faster AI agents, adoption metrics, and massive infrastructure investments - show we now have everything needed to deploy AI at industrial scale.
"We're getting to a point where the validation of AI isn't 'Can you build me a nice itinerary for my vacation in Rome?' But can you make a new discovery that will save patients' lives?"
Perfect For:
Business leaders tracking AI adoption, professionals implementing AI tools, teams measuring AI ROI, anyone who needs practical AI insights without the hype.
KEY TOPICS COVERED
───────────────────────────────────────────────────────
───────────────────────────────────────────────────────
EPISODE INSIGHTS
───────────────────────────────────────────────────────
Malcolm's Overarching Theme: "Industrialization of AI"
Malcolm compares this moment to Henry Ford's assembly line innovation - not because the technology is new, but because we're finally scaling proven capabilities for universal deployment. The Google cancer discovery validates that AI can do genuinely important work. The supporting stories (Haiku's speed, Microsoft's metrics, Google's infrastructure) prove we now have the tools to industrialize AI across every business function.
Notable Quote:
"We're getting to a point where the validation of AI isn't anymore 'Can you build me a nice itinerary for my vacation in Rome?' But can you make a new discovery that will save patients' lives? That's what we're seeing this week."
───────────────────────────────────────────────────────
RESOURCES & LINKS MENTIONED
───────────────────────────────────────────────────────
───────────────────────────────────────────────────────
WHERE TO FIND MALCOLM WERCHOTA
───────────────────────────────────────────────────────
LinkedIn: https://www.linkedin.com/in/malcolmwerchota/
Website: https://www.werchota.ai/
YouTube: https://www.youtube.com/@werchota
X: 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
───────────────────────────────────────────────────────
Have questions about AI implementation or want to share your transformation story? Reach Malcolm at malcolm@werchota.ai
───────────────────────────────────────────────────────
EMAIL THE SHOW
───────────────────────────────────────────────────────
Write to us with episode requests, feedback, or ideas at social@werchota.ai
───────────────────────────────────────────────────────
READY TO LEVEL UP YOUR AI SKILLS?
───────────────────────────────────────────────────────
Explore AI Fit Academy – Malcolm's program helping professionals and teams apply AI tools effectively in work and business. Ship First, Study Later – working workflows by Week 2 or 100% refund. Learn more at https://www.werchota.ai/ai-fit-academy
───────────────────────────────────────────────────────
TAGS FOR SOCIAL & SEARCH
───────────────────────────────────────────────────────
#AICancerTreatment #GoogleDeepMind #MicrosoftCopilot #ClaudeAI #AIAdoption #AIBusinessTools #AnthropicClaude #AIAgents #OpenAI #AIMetrics #BusinessAI #AITransformation #PodcastAI #AINews #TechNews
00:00
20:27

16 October 2025
Just back from GITEX Global 2025 in Dubai, our Managing Partner Sumeyra Yildirim noticed something fundamental: the conversation has shifted from “what can AI do?” to “how do we scale it?”—and the UAE ecosystem is deliberately optimized for speed.
In this episode, Malcolm Werchota breaks down why werchota.ai is seriously exploring expansion to the UAE, sharing insights from Dubai’s largest tech conference and the strategic logic behind this decision.
What you’ll discover:
Episode Summary:
Malcolm Werchota explores werchota.ai’s strategic consideration of UAE expansion, sharing data-driven insights from GITEX Global 2025. The episode examines how the UAE’s AI-optimized ecosystem—backed by $1.4 trillion in infrastructure investment, deliberate government policy, and rapid deployment frameworks—creates a unique environment for AI transformation at scale.
| MetricFigure | |
| UAE–US Investment Framework | $1.4T (10 years) |
| ADNOC AI Expansion | $440B |
| Nvidia Chips Imported | 500,000/year |
| Stargate AI Campus | 5GW (50× average DC) |
| MGX Fund Target | $100B+ |
| MGX Data Center Acquisition | $40B |
| UAE Tech Funding (H1 2025) | $1B |
| Abu Dhabi Gov’t Digital Strategy | $3.5B (2025–2027) |
| Global AI Startup Funding Share | 53% |
| New Jobs from Copilot UAE | 152,000 |
| AI GDP Target | 13.6% by 2031 |
| Fully AI-native Government Target | 2027 |
UAE AI Initiatives:
Organizations Mentioned:
G42, MGX, Mohamed bin Zayed University of AI, Technology Innovation Institute, ADNOC, Du
Global Partners:
OpenAI, Microsoft, Nvidia, Oracle, Cisco, SoftBank, BlackRock, Cerebras Systems
Malcolm Werchota
🌐 Website
🎥 YouTube
🎵 TikTok
Email Contacts:
AI Fit Academy:
Learn AI tools hands-on. Ship First, Study Later — working workflows by Week 2 or 100% refund.
00:00
23:22

14 October 2025
After learning why AI agents fail in Part 1 (attention budget, context rot, orchestration limits), Malcolm Werchota now reveals how to build scalable, long-running AI systems using Anthropic’s framework for Context Engineering.
This episode goes beyond prompts — it’s about architecture.
Malcolm introduces the five building blocks of Context Engineering:
1️⃣ System Prompts – Define your agent’s identity, purpose, core capabilities, and quality standards.
2️⃣ Minimal Tool Sets – Stop giving 20 tools; focus on what’s essential.
3️⃣ Just-in-Time Retrieval – Only load information when it’s needed, not everything at once.
4️⃣ Long-Horizon Strategies – Extend runtime with compaction, note-taking, and delegation.
5️⃣ Examples & Patterns – Train with diverse examples, anti-patterns, and confidence scoring.
Using practical cases from Werchota.ai — like invoice automation and large-scale feedback analysis — Malcolm demonstrates how these techniques turn fragile “demo agents” into reliable production-grade systems.
Key topics: agent architecture, context optimization, compaction, token management, orchestration patterns, Anthropic Claude Code implementation, and how to scale AI workflows in production environments.
Perfect for professionals working with Claude, GPT-5, or Gemini — and anyone ready to move from prompt engineering to system thinking.
🗒️ SHOW NOTES
Episode 81, Part 2: Build Better AI Agents Through Context Engineering
Malcolm Werchota breaks down the five practical building blocks of Context Engineering, showing how to design scalable AI systems that actually think ahead — not just follow commands.
“Don’t give your agent 20 tools — it will spend half its energy deciding which one to use.”
“The future of AI isn’t about bigger models. It’s about better architecture and context engineering.”
“System prompts are not messages — they’re thinking frameworks.”
“Context engineering turns fragile demos into production systems.”
🔗 WHERE TO FIND MALCOLM WERCHOTA
LinkedIn → linkedin.com/in/malcolmwerchota
Website → werchota.ai
YouTube → youtube.com/@werchota
Facebook → AI Cookbook by Malcolm Werchota
Instagram → @malcolmwerchotaai
TikTok → @malcolmwerchota
📧 Get in touch:
Questions, feedback, or transformation stories → malcolm@werchota.ai
Episode ideas → social@werchota.ai
🎓 Upgrade your AI skills:
Join the AI Fit Academy — Malcolm’s hands-on program that helps professionals and teams ship real AI workflows by Week 2 — or your money back.
Learn more → werchota.ai/ai-fit-academy
00:00
31:46

14 October 2025
Your AI agents work—but they’re not smart. They follow instructions, yet fail on edge cases, forget context mid-task, and need constant supervision.
Malcolm Werchota reveals why your invoice automation, podcast metadata generation, and business workflows keep breaking down—and why it’s not the AI’s fault. The missing piece is context engineering, a concept most people have never heard of.
In this two-part series, Malcolm breaks down Anthropic’s groundbreaking research on how to build AI agents that actually think ahead. Learn why prompt engineering is no longer enough, how attention budget silently kills your automations, what context rot does to long-running tasks, and how the orchestrator pattern allows AI agents to spawn helper agents on demand.
You’ll hear how Malcolm’s team cut invoice processing time from 45 minutes to zero human intervention—and why feeding your AI more data can actually make it dumber. This episode isn’t about magic prompts. It’s about designing the entire environment your AI operates in.
Key topics: AI agent automation challenges, context window vs. attention budget, why mega-prompts fail, orchestrator pattern design, system prompt architecture, tool-calling strategies, and scalable AI workflows.
Perfect for professionals implementing Claude AI, automating business processes, or frustrated with unreliable AI agents. Malcolm’s “Ship First, Study Later” approach means real implementation—not theory.
Part 2 dives into advanced system prompts, minimal tool sets, and managing long-running tasks without context explosion.
“It’s like having an employee who follows orders perfectly—but never takes initiative or thinks ahead.”
“Context engineering manages everything the model uses: system instructions, tools, message history—not just the prompt.”
“The challenge now isn’t crafting perfect prompts. It’s curating the information within the model’s limited attention budget.”
“Don’t feed it a billion files. Use the smallest, clearest, highest-signal inputs possible.”
LinkedIn → linkedin.com/in/malcolmwerchota
Website → werchota.ai
YouTube → youtube.com/@werchota
Facebook → AI Cookbook by Malcolm Werchota
Instagram → @malcolmwerchotaai
TikTok → @malcolmwerchota
📧 Get in touch:
Questions, feedback, or transformation stories → malcolm@werchota.ai
Episode ideas → social@werchota.ai
🎓 Upgrade your AI skills:
Check out the AI Fit Academy, Malcolm’s hands-on program that gets professionals shipping working AI workflows by Week 2—or your money back.
Learn more → werchota.ai/ai-fit-academy
00:00
26:35