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. 22 HRS AGO

    Accenture: 11,000 Layoffs - Learn AI or Leave?

    Accenture's recent restructuring offers the clearest case study yet on AI workplace transformation. They cut 11,000 positions while simultaneously growing their AI workforce from 40,000 to 77,000 professionals. CEO Julie Sweet's statement that they're "exiting people where reskilling is not viable" reveals the brutal reality of AI adoption. This episode breaks down what makes some employees reskillable and others not, with actionable steps you can take immediately. Key Topics Covered: • Accenture's $865 million transformation: 11,000 out, 37,000 AI roles created • The "viable vs. nonviable skills" framework companies are using • Why traditional consulting skills are declining while AI capabilities explode • Three critical elements of successful AI reskilling • How to conduct your own skills viability audit • Practical steps to document and showcase AI work • Timeline and urgency: how fast this is really moving Notable Insights: "Not 'less valuable skills.' Not 'transitioning roles.' She used the word 'nonviable.' That's a fascinating and unusually honest way to describe what's happening in the professional workforce right now." - Malcolm Werchota "The winning combination is deep domain knowledge PLUS AI capabilities. That's what 'reinventors' means - people who can take their existing expertise and multiply it with AI." "Accenture made these decisions in three months. You probably have six to twelve months before your organization makes similar calls. That's your window." Accenture Key Stats Referenced: • 11,000 employees restructured out (May-August 2025) • 37,000 new AI professional positions created (2023-2025) • AI workforce grew from 40,000 to 77,000 in 24 months • Generative AI bookings: $3 billion to $5.1 billion • $865 million invested in restructuring program Your Action Plan: 1. Conduct a skills viability audit: Can you articulate how you're using AI now? 2. Commit to deep AI education, not shallow familiarity 3. Document and showcase your AI work everywhere (resume, LinkedIn, portfolio) Resources for AI Upskilling: While this episode focuses on understanding the transformation, Malcolm's AI Fit Academy provides structured training for professionals ready to build working AI workflows. Visit the link below for details. 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

    27 min

  2. 2 DAYS AGO

    E70: Singapore’s AI Masterplan: $1B investment, 300 firms, $3,000/month reskilling—what Europe is missing

    This episode unpacks how Singapore’s forward‑leaning AI strategy commits $1B over five years, funds 300 local companies with up to S$500,000 each to build internal AI teams, and catalyzes private capital to accelerate real adoption. Most striking: anyone over 40 can reskill for 12–24 months with S$3,000 per month while local model options drive costs down—and regulators update existing laws instead of creating paralyzing mega‑frameworks. The outcome is an AI hub with net‑new, AI‑native companies and a structural lead, while Europe debates; the call to action is to audit strategies against Singaporean standards and learn faster via Asian partnerships. Links Connect with Malcolm on LinkedIn: https://www.linkedin.com/in/malcolmwerchotaWerchota AI: https://www.werchota.ai #AIDataSecurity #ChatGPTEnterprise #MicrosoftCopilot #EnterpriseAI #DataPrivacy #GDPR #AICompliance #CyberSecurity #DigitalTransformation #AIGovernance #TechLeadership #DataProtection #CloudSecurity #AIStrategy #EnterpriseTechnology

    18 min

  3. 3 DAYS AGO

    E69: AI vs Experts: OpenAI’s GDP‑Val Shows 50% Parity, 35% Tipping Point, and Model Matchups (GPT‑5 vs Claude)

    This episode breaks down OpenAI’s GDP‑Val study benchmarking human experts vs leading AI models across 44 real occupations and 1,320 tasks, revealing AI already matches or beats expert quality ~40–50% of the time and why a simple formatting checklist boosts scores by ~5 points. Listeners get a clear playbook: the economic “35% tipping point” where AI becomes net-positive, model selection guidance (GPT‑5 as the “accountant,” Claude as the “designer”), and why structured inputs outperform plain text. Finally, it maps an adoption timeline from ~50% today to ~65% by year‑end, ~75% by 2026, and ~80% by mid‑2027, with role shifts toward AI orchestration, QC, and strategic agent deployment. Key takeaways The “35% rule”: below ~35% win‑rate, AI costs more due to human rework; above it, AI becomes ROI‑positive.Formatting is a primary failure mode; adding a prompt‑level checklist improves outcomes by ~5 pts on slide tasks.Models differ: Claude 4.1 excels in layout/formatting; GPT‑5 in factuality and calculations; no single “best” model.Complex, structured tasks (e.g., slides with context) outperform simple text prompts; context density matters.Trajectory: from ~13% (GPT‑4.0 a year ago) to ~50% now; plan for rapid step‑ups through 2026–2027.Links Connect with Malcolm on LinkedIn: https://www.linkedin.com/in/malcolmwerchotaWerchota AI: https://www.werchota.ai #AIDataSecurity #ChatGPTEnterprise #MicrosoftCopilot #EnterpriseAI #DataPrivacy #GDPR #AICompliance #CyberSecurity #DigitalTransformation #AIGovernance #TechLeadership #DataProtection #CloudSecurity #AIStrategy #EnterpriseTechnology

    26 min

  4. 4 DAYS AGO

    E68: What Happens to Your Data When You Use ChatGPT or Copilot? The Complete Security Guide

    Is your company data training AI models? The answer will shock you. Malcolm Werchota and Ara from Grok break down exactly where your data goes, who can access it, and what the Samsung leak really means for your business. In this comprehensive episode, AI strategist Malcolm Werchota and investigative tech journalist Ara (Grok) dive deep into the questions every executive asks: Is enterprise ChatGPT really different from free? Can Microsoft see my Copilot prompts? What does SOC 2 actually prove? What You'll Learn: The truth about AI data training (hint: enterprise is completely different)Why 95% of companies see zero ROI from AI investmentsWhat the NYT vs OpenAI lawsuit means for your data Connect with Malcolm: LinkedIn: https://www.linkedin.com/in/malcolmwerchota Werchota AI: https://www.werchota.ai #AIDataSecurity #ChatGPTEnterprise #MicrosoftCopilot #EnterpriseAI #DataPrivacy #GDPR #AICompliance #CyberSecurity #DigitalTransformation #AIGovernance #TechLeadership #DataProtection #CloudSecurity #AIStrategy #EnterpriseTechnology

    31 min

  5. 5 DAYS AGO

    E67: AI This Week: ChatGPT Pulse, Claude in Microsoft 365 & China's Nvidia Rejection | AI Cookbook

    Malcolm Werchota breaks down this week's biggest AI developments: OpenAI's proactive Pulse feature, Microsoft's multi-model strategy, and global AI shifts. **Testing our NEW Sunday AI recap format!** Malcolm Werchota synthesizes this week's 6 game-changing AI developments: 🔹 ChatGPT Pulse: Malcolm's real experience with OpenAI's proactive AI ($200 Pro) 🔹 Microsoft adds Claude to Office 365 - the end of model monopolies? 🔹 US Government's $0.42 xAI deal - AI at massive scale 🔹 China rejects Nvidia's weakened chips - tech independence accelerates 🔹 Europe considers pausing AI Act - Draghi calls it "uncertainty" 🔹 OpenAI's GDPval: Finally measuring real AI ROI Is this weekly recap format useful? Send feedback! From Malcolm's personal testing to global implications. ### Episode Tags (Spotify allows up to 8): 1. artificial intelligence 2. ChatGPT 3. Claude AI 4. Microsoft Copilot 5. AI regulation 6. OpenAI 7. tech news 8. AI strategy Links: Werchota.ai: https://www.werchota.ai/ Malcolms LinkedIn: https://www.linkedin.com/in/malcolmwerchota/

    19 min

  6. 6 DAYS AGO

    E66: ChatGPT Pulse Feature Review: From Passive Tool to Active Partner

    Malcolm Werchota breaks down why OpenAI's ChatGPT Pulse launch yesterday is causing German publishing CEO Marco Parrillo to tell his entire industry to panic. This episode explains how AI just shifted from passive tool to active partner - and why your job might already be obsolete. Key topics covered: Malcolm shares his personal ChatGPT Pulse experience where it analyzed his 3-day-old conversation with CoatingAI co-founder Eugenia and created value propositions they never considered. He demonstrates how Pulse generated a hospital triage analogy for his GDPR podcast that he never mentioned, proving AI is now anticipating and creating, not just responding. The episode examines Marco Parrillo's LinkedIn warning that "klassische Publisher können kaum mithalten" (classic publishers can't compete) and why Ebner Media Group's 200 employees should prepare for a "deutlich schwieriger" future. Malcolm analyzes the competitive bloodbath between Gemini (Google ecosystem), Grok (Tesla integration), Claude (enterprise safety), and why ChatGPT Pulse changes everything. FOBO (Fear Of Becoming Obsolete) breakdown includes: Gallup data: 22% of workers fear job replacement (up 7 points since 2021)College-educated worker fear jumping from 8% to 20%Why AI completing work before you wake up makes degrees irrelevantThe 5-step survival guide: 10x daily AI usage, focus human superpowers, upskill or dieWhy only premium unreplicable content and real human connections survive Malcolm connects this to the 2013 movie "Her" - what we laughed at is now reality. Within 6 months, ChatGPT won't just brief you but will be in your ear all day, anticipating needs and solving problems you don't see yet. The challenge: Tomorrow morning, skip Instagram. Open ChatGPT Pulse. Ask yourself: "Is this my assistant or my replacement?" Then GET TO WORK. Links: Website: werchota.aiLinkedIn: Malcolm Werchota

    23 min

  7. 26 SEPT

    E65 - 700 Million People Are Using AI Wrong (And Why That's Perfect)

    OpenAI just dropped the largest study on AI usage ever conducted - analyzing 700 million weekly active ChatGPT users and 17.5 billion weekly messages. What they found contradicts everything "experts" have been telling you. Women now dominate AI usage (52% majority), developing nations are outpacing Silicon Valley, and 70% of people use the world's most powerful productivity tool for everything EXCEPT work. Women now represent 52% of ChatGPT users, completely flipping the gender narrative in tech adoption - proving AI has reached true mainstream status70% of ChatGPT usage is personal, not professional - employees are building critical AI skills at home with their own money, creating a massive competitive advantage that walks out the door when they leaveDeveloping nations (GDP $10-40K per capita) show explosive AI adoption rates, surpassing wealthy countries - your future competition isn't from Stanford, it's from a 22-year-old in LagosA shadow education system processes 1.8 billion learning interactions weekly outside traditional institutions - bigger than all universities combined, completely unregulated, and growing exponentiallyOnly 4.2% of messages involve coding despite the hype - the real revolution is that everyone is now programming without knowing it through AI-powered tools #ChatGPT #OpenAI #AIRevolution #ArtificialIntelligence #FutureOfWork #AIEducation #TechTrends2025 #AITransformation #DigitalTransformation #Innovation #Leadership #FutureOfBusiness #AIStrategy #AIKochbuch #AICookbook #TechPodcast #PodcastLife #MalcolmWerchota

    35 min

  8. 25 SEPT

    E64: From Papyrus to Pixels: The 5,000-Year Pattern That Predicts Our AI Future

    What if I told you that Ancient Egypt's papyrus monopoly perfectly mirrors today's AI dominance by tech giants? In this mind-blowing episode, Malcolm Werchota reveals how 5,000 years of writing technology revolutions follow the EXACT same pattern we're seeing with AI today. From Egyptian scribes with "tech neck" to medieval monks destroying printing presses (just like modern workers fearing ChatGPT), history is literally repeating itself. Discover why the Battle of Talas in 751 CE is basically the same as the US-China chip war, why Gutenberg faced the same criticism as OpenAI, and why manufacturing's 12% AI adoption rate mirrors medieval Europe's resistance to paper. This isn't just a history lesson—it's a blueprint for understanding exactly where AI is taking us. 1. Every Information Revolution Creates Geographic Monopolies Just as Egypt controlled papyrus for 3,000 years and Venice dominated printing, today's AI revolution is concentrated in Silicon Valley (25% of all AI patents, $120B in venture capital). The pattern is identical across 5,000 years. 2. Resistance to New Writing Tech Always Uses the Same Arguments Medieval monks said printing would "make donkeys go to school" and destroy human connection to knowledge. Today's AI critics say ChatGPT makes us stupid. Socrates said writing would destroy memory. Same fears, different century. 3. Technology Embargoes Always Backfire and Accelerate Innovation When Egypt embargoed papyrus to Pergamon (197 BCE), they invented superior parchment. When China kept paper secret for 700 years, the Islamic world improved it. Today's chip restrictions will likely produce the same result. 4. Early Adopters Build Empires, Skeptics Become Footnotes The Islamic world adopted paper and created their Golden Age with 400,000-book libraries while Europe clung to parchment with 100 books. Martin Luther used printing to reshape Christianity. The scribes who destroyed printing presses? Nobody remembers their names. 5. The Productivity J-Curve Is Universal Every revolutionary technology shows initial productivity decline before explosive growth. Printing: 90x faster than scribes. AI users today: 66% productivity increase, 126% more programming projects. Non-adopters are the new medieval scribes watching the world accelerate past them. #AIHistory #FromPapyrusToPixels #AIRevolution #TechMonopoly #DigitalTransformation #FutureOfWork #AIAdoption #InnovationPatterns #AICookbook #HistoryRepeats #GPT4 #ChatGPT #AIProductivity #TechEvolution #KnowledgeMonopoly #DisruptiveInnovation #AISkepticism #BarcelonaAI #MalcolmWerchota #5000YearsOfTech

    34 min
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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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