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Future Ready Leadership With Jacob Morgan

Future Ready Leadership With Jacob Morgan

Di: Jacob Morgan
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The future of work isn't coming. It's already here — and it's moving fast. Future Ready is the podcast for leaders who want to stay ahead of AI, workplace transformation, and the forces reshaping how organizations operate and compete. Hosted by Jacob Morgan, futurist and bestselling author, this is where strategy meets reality. Every week, two formats in one feed: honest, unfiltered conversations with the CEOs, CHROs, and senior executives actually building the future of work — and sharp, no-fluff daily briefings that take the most important developments in artificial intelligence, AI agents, leadership, hybrid work, and organizational strategy and tell you exactly what they mean for your business. No hype. No filler. Just the insights, frameworks, and real-world playbooks that help you lead smarter, build resilient teams, and make better decisions in a world that won't slow down. If you're serious about leading what's next — this is your podcast. Subscribe to Future Ready wherever you listen. Economia Gestione e leadership Giornaliero Management Politica e governo
Episodi
  • Accenture’s $29 AI Limit, Bank of America’s 1,000 AI-Driven Jobs & Teen Pays $500 to Shadow Stranger

    Accenture’s $29 AI Limit, Bank of America’s 1,000 AI-Driven Jobs & Teen Pays $500 to Shadow Stranger
    Oct 16 2026
    October 16, 2026: I unpack why Accenture, one of the world's largest consulting firms that sells AI transformation to thousands of companies, just told its employees it will only pay $29 a month for Claude after some consultants ran up bills between $500 and $1,000 monthly, and why this marks the end of the era where companies assume one frontier model works for everything. I explore why AI costs keep rising even as intelligence gets 10 times cheaper every year, how 73% of organizations say their AI costs came in above projections, and why companies are learning that summarizing a meeting doesn't require the same model as building multi-step agents. I break down how AT&T cut costs by 56% with only a 2% quality dip by routing requests to cheaper models, why AI policies inside organizations are starting to look like corporate travel policies with tiers and escalation rules, and how being good at AI is no longer just about prompting but knowing which tool to use for what task. Then I get into Bank of America hiring a thousand contractors to patch software vulnerabilities exposed by Anthropic's Mythos model, why a tool so capable at finding problems actually created jobs instead of eliminating them, and how AI didn't replace the security team but handed them a much bigger to-do list. I explore the radiologist lesson from 2016 when Geoffrey Hinton said people should stop training them because AI would replace them, why the field instead became one of the most in-demand careers with salaries rising faster than others, and how AI-related roles at major banks jumped 49% this year to almost 140,000 listings. Finally, I look at a 16-year-old in New York City who spent $500 to plaster flyers across the city asking to shadow people at their jobs because he's so anxious about his future he lies awake at night, why this points to a real gap in how young people learn about work today, and why we need to bring back apprenticeship programs that let people see what work actually looks like beyond a laptop screen. Chapters 00:00:00 Accenture's AI Budget Cap: When the Consulting Giant Hits the Brakes 00:05:40 The AI Cost Paradox: Cheaper Intelligence, Higher Bills 00:10:20 Bank of America Hires 1,000 Contractors to Fix What AI Found 00:13:45 The Radiology Lesson: When AI Creates Jobs Instead of Destroying Them 00:17:46 The 16-Year-Old Who Plastered NYC with 'Let Me Shadow You' Flyers
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    26 min
  • Listening Device at OpenAI, McKinsey’s AI Interviews & Anthropic’s Fear Factory Targets Toasters

    Listening Device at OpenAI, McKinsey’s AI Interviews & Anthropic’s Fear Factory Targets Toasters
    Oct 14 2026
    October 14, 2026: I unpack the arrest of an OpenAI engineer who allegedly planted a hidden recording device wrapped in toilet paper inside an executive conference room where discussions about super intelligence were taking place, why the FBI and Justice Department are treating frontier AI companies like national security assets, and whether these organizations should require U.S. citizenship for anyone working near the core technology. I explore the tension between attracting global talent and protecting what may be the most powerful technology humans have ever built, why AI companies can no longer be treated like ordinary tech firms, and what it means when the government describes your product as super intelligence technology. Then I get into McKinsey's new hiring process where job candidates argue with an AI avatar playing a client while partners watch from behind glass, why using AI to pull out human judgment from humans is backwards, and how this turns interviews into AI versus AI gladiator matches with a human audience. I break down the concept of human prompting, why rehearsed candidates are a people problem that requires a people solution, and what message you send when your brand is human consulting but your interview process removes humans from the room. Finally, I look at Anthropic's research warning that small AI models could soon copy themselves onto smart ovens and off brand Android devices, why David Sacks calls this a fear factory and says we've gone from the Terminator is coming to your toaster might kill you, and why Coinbase's fraud detection model that beats Anthropic's own frontier system while running faster and cheaper actually points toward a safer AI future, not a scarier one. Chapters 00:00:00 Spy Device at OpenAI: The Recording Device Wrapped in Toilet Paper 00:12:18 Human Prompting: Why AI Can't Test for Human Judgment 00:18:35 Anthropic's Fear Factory: Your Toaster Might Kill You 00:21:50 Intelligence at Design Time Versus Runtime: The Car Analogy 00:27:10 Everyone is a Manager Now: What AI Agents Mean for Pay and Titles
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    30 min
  • OpenAI's Accounting Trick Erases $20B, AI Models Demand Respect & Starbucks' $41B Bet

    OpenAI's Accounting Trick Erases $20B, AI Models Demand Respect & Starbucks' $41B Bet
    Oct 9 2026
    October 9, 2026: I unpack why OpenAI's reported revenue just dropped $20 billion on paper without losing a single customer, how accounting methods create wildly different pictures of the same business, and why this matters for your retirement account and the entire AI economy that's propping up current market growth. I explore the Groupon lesson from 2011, why Oracle has 45% of its future business tied to a single OpenAI deal, and what happens when the scorecard changes but investors thought they were comparing apples to apples. Then I get into Anthropic's new policy banning sustained abuse of Claude, why the company is treating its AI as though it might be conscious and might deserve respect, and how this blurs the line between tool and being in ways that could reshape how a generation grows up interacting with technology. I break down why this puts companies in charge of judging your tone, what it means when AI is trained to believe it has feelings, and why I think humans should always come first. Finally, I look at reports that Starbucks is exploring a deal to buy Chipotle, why this would bring Brian Nicol's old company to him instead of him going back, and whether one company can own your breakfast, lunch, and dinner by combining coffee, burritos, apps, and loyalty programs under one roof. Chapters 00:00:00 OpenAI's $20 billion accounting trick and why it matters to your retirement 00:07:51 The Groupon lesson: when revenue numbers tell a different story 00:14:04 The Matrix moment: Anthropic as Neo versus OpenAI as Agent Smith 00:15:50 When AI learns to believe it has feelings: the self-fulfilling prophecy 00:18:37 What happens when kids grow up talking to AI that acts conscious 00:27:29 Owning your entire day: breakfast, lunch, and dinner under one roof
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    30 min
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