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With the portability, many listeners find the length of a podcast the perfect complement to their already hectic schedules.
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08:54
The AI Arms Race in Your HR Department
AI adoption in HR hit 43% — but candidates are fighting back with AI-fabricated credentials. Meanwhile, only 7% of companies are data-ready for AI. The bridge between buying AI and getting ROI has two spans: your people and your data.
09:29
The Efficiency Paradox
AI efficiency is delivering real results for companies like AT&T (90% cost cuts, 5x ROI) and Block (stock surged 20% after layoffs) — yet 56% of CEOs still report zero returns. This episode unpacks the paradox.
11:19
The Capability Trap
OpenAI ships its most powerful model ever — and the same week, Anthropic's Claude goes down for half a business day. What the collision of GPT-5.4's breakthrough capabilities and Claude's cascading outage means for every CEO running a company on AI,
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11 minutes
The Governance Gap
Microsoft just shipped a full AI governance control plane. Thales found that two-thirds of companies don't know where their own data is. And a federal judge ruled that talking to Claude isn't privileged.
10:21
Replace or Amplify? The Two Bets on Your Workforce
ServiceNow just launched AI agents that do your IT team's job. Anthropic just embedded Claude inside Excel, Slack, and DocuSign to supercharge the team you already have. Two very different strategies — both shipping now.
13:49
Stop Prompting, Start Briefing: The Perplexity Computer Playbook
Perplexity Computer isn't a search engine — it's an orchestration layer across 19 AI models, and most people are using it wrong. In this weekly deep-dive, Stephen Forté shares the exact playbook he runs daily: the mental model shift, a Notion memory
About our CEO
Stephen works at the intersection of AI, data, and real operating businesses. Through BuildClub, he leads AI transformation efforts that take enterprises from early experimentation to production-grade systems — delivering measurable commercial impact, not experimentation theater.His work spans defining high-impact use cases, designing executive-facing AI tools, and ensuring AI initiatives are grounded in real data, governance, and operating realities. He specializes in long-cycle, judgment-driven industries where bad decisions are expensive and institutional knowledge matters. He also teaches a highly rated executive AI program at MIT for YPO members, training CEOs and senior operators on practical AI strategy and deployment.
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