Why are 88% of businesses using AI but only 5% seeing real transformation?

In this episode, we sit down with Dan Diasio, EY’s Global Consulting AI Leader and CTO, to break down the four possible futures of AI, from constraint to full transformation, and what it takes for organizations to win in an AI-driven world.

Drawing from his experience advising Fortune 50 executives, Dan explains how leaders are navigating uncertainty, why many companies fall into the “sameness trap,” and what separates simple AI adoption from true competitive differentiation.

We also explore the rise of AI agents and end-to-end workflows, why mindset and skillset matter more than toolset, and what the future of jobs looks like in an AI-first world.

If you are thinking about AI strategy, leadership, or how to prepare your organization for what comes next, this episode delivers practical and forward-looking insights.

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In this video:

00:00 Intro

00:40 Inside SXSW: Future-proofing AI strategy

02:14 Why predicting AI is impossible

02:56 The four AI futures explained (constraint → collapse)

04:36 What winning teams did differently

05:50 The “sameness trap” in AI

06:19 Positive vs negative AI futures

07:23 Constraint, growth, transform, collapse

09:54 What people actually believe about AI’s future

10:45 How do you win with AI?

13:17 Why business model innovation beats automation

14:02 Hands-on AI

15:46 How AI commoditizes output

17:01 AI investment trends: Productivity vs differentiation

18:13 The shift toward competitive advantage with AI

19:27 The AI Playbook: How leaders get it right

20:34 Going broad vs going deep with AI

21:11 88% vs 5%: The AI Adoption Gap

22:20 Mindset vs skillset vs toolset

23:27 Top-down vs bottom-up AI transformation

25:16 The visibility trap explained

26:06 Why new talent drives AI innovation

28:22 AI resistance & fear in organizations

29:43 “Death by a Thousand Papercuts” automation

30:54 New jobs: Knowledge Engineers & AI Orchestrators

32:48 Future Skills: Critical thinking, creativity, systems thinking

35:12 The role of IT in the AI era

37:34 AI as the new operating system of business

39:01 SaaS vs A

44:35 AI prototyping vs enterprise-scale systems

47:18 Will AI kill consulting?

54:07 AI infrastructure constraints & global risks

56:09 Biggest AI myths & misconceptions

57:34 Are we automating the wrong things?

59:27 Amara’s Law & AI hype cycles

01:00:12 How leaders should prepare

01:01:01 Why value creation beats cost cutting

01:02:17 Aligning AI strategy across the organization

Connect with Dan:

LinkedIn: https://www.linkedin.com/in/dan-diasio/

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