In 2019, I helped run the largest study ever done on the relationship between design and business performance. We found that the vast majority of companies were stuck, full of creative potential that they couldn't convert into results. This month, Accenture Song published a brand-new study of 1,725 executives across 14 countries, and they found the same exact gap, almost to the percentage point.

This episode puts both studies side by side. Not to say "I told you so," but because two firms, working seven years apart with completely different methods, landing on the same wall, isn't a coincidence. It's proof that this was never a technology problem. I also break down why "applied creativity" is on track to become the next "design thinking," a term everyone adopts and nobody actually builds, unless leaders treat it differently this time. And I close with a three-question audit you can run on your own team before the episode's even over.

This one's for anyone who's tired of hearing that AI will finally make creativity matter. It already mattered. The infrastructure to act on it just never got built.

In this episode:

• Why Accenture's 2026 "applied creativity" data lines up almost exactly with the InVision design maturity study from 2019
• The three pillars both studies independently found: commitment, structure, expertise
• Why only 9% of board members at major companies have creative backgrounds, and why that's the actual story
• Why design thinking died, and the exact pattern that could kill "applied creativity" the same way
• The harder truth: AI didn't create this gap, it just removed the excuse
• A three-question audit to find out which pillar your team is actually missing

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Your team's value used to come from how fast and how well they could execute. That formula is broken, and most leaders are still managing teams built for jobs that no longer exist.

This episode is about what leadership actually looks like once execution stops being what makes your team valuable. Not whether to adopt AI — that conversation is over. The real question is whether you're willing to redefine what your team produces, who's actually equipped for that shift, and what you're going to do about the people who aren't. Stephen breaks down the five things that now separate teams that matter from teams that don't — judgment, taste, context, connection, and the often-overlooked skill of actually training and stewarding the models your team uses. He also lays out three things every leader needs to do this week, starting with an honest audit of what your team really produces.

Stephen anchors this in years spent studying how the world's best chefs build teams and develop talent from scratch, and in building CRZY Design around the idea that headcount has never equaled quality. Both point to the same lesson: technique can be taught, and increasingly, AI can do it. Palette can't be bought, faked, or automated.

This one's for any creative leader who suspects their org chart, job descriptions, or own habits are still optimized for a team that no longer exists, and who'd rather hear that now than find out later.

In this episode:

• Why "is AI going to take my job?" is the wrong question for leaders to be asking
• The five things that actually separate teams now: judgment, taste, context, connection, and systems stewardship
• Why headcount-based, execution-mapped org charts are solving the wrong problem
• The "palette" lesson from the world's best kitchens — and why hiring on technique alone is a long-term liability
• A three-step leadership audit: what AI could do, what AI could assist with, and what only your team can do — and why that ratio is the most important number you're not looking at
• The hardest truth in the episode: AI didn't take anyone's job — it gave executives a way to finally act on what they already believed

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The "ship it, fix it later" playbook was already broken. AI just made it catastrophic. Post-mortems assume you have time to observe, adjust, and course correct. AI has collapsed those timelines, and the damage isn't waiting for a retrospective.

In this episode, Stephen argues that pre-mortems aren't a luxury anymore. They're the only way responsible teams can keep pace with and scale AI-assisted work. He walks through six questions every team needs to answer before any project where AI touches the workflow — not as a checklist, but as the conversation you have before the pressure hits.

Stephen anchors the argument in a core frustration he's named on the show before: most teams are in the consequence business without ever acting like it. From the Pokémon Go failures to the output-obsessed cultures that celebrate shipping as success, the episode makes the case that individually good decisions can still add up to collectively disastrous outcomes.

This one is for any team using AI in their work who hasn't yet had a real conversation about what happens when it goes wrong.

In this episode:

• Why the post-mortem era is over — and what has to replace it
• The six pre-mortem questions every AI-assisted project needs answered upfront
• How to map the blast radius before you're in a war room during a crisis
• The headline test: writing the failure story before the project starts
• Why agreeing on non-negotiables is the easy part — and holding to them under pressure is the real work
• Why AI is a culture problem, not a technology problem — and why this episode is the proof

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SHOW NOTES AND MORE:
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