For the first time ever, AI skills are the hardest to find globally — beating engineering, IT, and everything else. ManpowerGroup's 2026 Talent Shortage Survey of 39,063 employers across 41 countries just made it official.

In this episode, Harrison breaks down what the data actually says, what most coverage missed, and what leaders need to do right now.

What we cover:

• Why 72% of employers worldwide can't fill roles
• AI literacy vs. AI engineering — and why both are scarce
• What Germany (83%), France (74%), and the US (69%) tell us about the global gap
• The stat almost no headline covered: human skills still top the list
• 3 lessons leaders need to act on today

Sources:

• ManpowerGroup 2026 Talent Shortage Survey
• ManpowerGroup Press Release, Feb 26 2026
• HR Dive, March 2 2026

Subscribe and leave a review if this helped you think differently about AI and your organization.

A robot vacuum just exposed 7,000 homes across 24 countries, and nobody got hacked. One guy with a PS5 controller stumbled into live camera feeds, floor plans, microphone audio, and device locations for complete strangers. All of it wide open.

This is a DJI RoMo story, but it's really a story about what happens when a capable company moves too fast into unfamiliar territory. The flaw wasn't exotic. It was a basic permission error that encryption couldn't fix.

I break down exactly what went wrong, why "encrypted" doesn't mean "safe," and what you need to start asking before you put another connected device in your home or office.

If you found this useful, subscribe and hit the bell so you never miss a first look.

Thank you for watching,

Harrison Painter

www.LaunchReadyAI.com

Sony just built a tool that can look inside any AI-generated song and tell you exactly which artists it borrowed from — down to a percentage.

Think outputs like: 30% Beatles. 10% Queen. For any AI-generated track.

Most people are reading this as a music story. I'm reading it as a preview of where every creative industry is headed. The same logic that lets Sony fingerprint an AI song is coming for AI-written copy, AI-generated images, and AI-produced video.

The wild west window is closing. Are you ready?

In this episode:
• How Sony's system works (and what happens when AI companies don't cooperate)
• Why major labels are going from victims to tollbooth operators
• What this means for solo creators and brand content teams right now.
• Three lessons for leaders navigating this shift

The question you need to answer before attribution tech lands in your industry

Lesson 1: Fighting the technology is almost always the wrong move.
Lesson 2: Attribution will reshape what AI-generated content costs. Start asking your team what your AI tools were trained on.
Lesson 3: Your authentic voice cannot be fingerprinted back to a training dataset. That is your competitive advantage.

Source: TechSpot — Sony's New System Can Identify Original Tracks Inside AI-Generated Music

Subscribe to the AI for Everyone newsletter for weekly insights built for executives, educators, and entrepreneurs. No hype. Just what matters and what to do about it.

AI is already inside your brand whether you planned for it or not. Cat Holt has spent 26 years watching brands get this wrong — and she's here to break down exactly what's happening and what leaders need to do about it.

Cat is the strategic architect behind the Dr. Rick for Progressive Insurance campaign and the Founder of Coologee, a brand strategy firm helping companies navigate AI, disruption, and identity.

In this conversation, we get into what brand actually means and why it is not the same thing as marketing or advertising. We talk about what happens when a founder's personal brand overtakes the company, why OpenAI's brand seems to operate above the normal rules of reputation, and what Bud Light and Cracker Barrel teach us about the cost of getting brand evolution wrong.

Cat walks through the origin of the Dr. Rick campaign — the real insight behind it, why executives were scared to run it, and how it started as a small Facebook test before becoming Progressive's highest-performing campaign a decade later.

Then we get into AI directly: how it is being embedded into brand identity whether companies want it or not, the IP and creative ownership conversation nobody is having clearly, and why AI is still a smart intern — not a creative director.

What you'll hear in this episode:

• Brand vs. marketing vs. advertising — the distinctions that actually matter
• Why brand strategy needs to start on Day 1
• The Bud Light and Cracker Barrel rebrands: what went wrong and why it was predictable
• How Elon Musk's personal brand absorbed Tesla and why it may be permanent
• Why OpenAI's brand seems untouchable
• The Dr. Rick campaign: the human insight, the fear, and the process that made it work
• What AI is doing to brand identity right now at the infrastructure level
• AI avatars, Flo from Progressive, and who actually owns the IP
• The Rembrandt slide: why you can't copy without an original
• Why human creativity is about to become more valuable, not less

Connect with Cat:

• Coologee: https://coologee.com/
• Linkedin: https://www.linkedin.com/in/catkolodij/

Connect With Us:

• AI Launchpad Community: http://LaunchReadyAI.com
• LinkedIn: https://www.linkedin.com/in/harrisonpainter/

A San Francisco insider just described a city where people leave parties early to check on their AI agents, where the first thing you do in the morning is grade overnight homework your AI did while you slept, and where the new status flex is not what you built but what is working while you are sitting at dinner not working.

This is called token anxiety. And it is heading to your industry.

In this episode, Harrison breaks down Nikunj Kothari's viral post from inside the San Francisco tech scene, explains what it means for leaders outside the bubble, and delivers three takeaways you can act on before this mindset reaches your team.

Topics covered: what token anxiety actually is, the new AI-driven status culture, agents running overnight, and why burnout from too much AI capability is still burnout. Plus a personal note on why closing the laptop is now a leadership skill.

New episodes every week. Subscribe so you do not miss what is next.

Spotify’s co-CEO Gustav Soderstrom dropped a bombshell during their Q4 2025 earnings call:

"Some of our best developers, some of our most senior engineers have not written a single line of code since December. They just prompt."

Crazy, right?

Check out today's AI for Everyone Daily Brief to learn more.

Enjoy!

Harrison Painter

This podcast breaks down "The 7 Deadly Patterns of Automation" that can lead to demonetization, even for high-value channels, by triggering AI pattern detection. We'll explore the latest youtube update and how to avoid demonetization by understanding new rules for engagement and youtube guidelines.Learn how to distinguish between allowed AI assistance and disallowed fully automated pipelines, and why youtube demonetizing channels means you must use AI as an assistant rather than an engine. Diversify your business beyond YouTube to avoid algorithmic risks and ensure your youtube monetization.RESOURCES & LINKS:Think Media's original video: Search "YouTube is demonetizing channels at scale" on YouTubeAI Launchpad community: https://launchreadyai.comIf this helped you, hit subscribe and drop a comment. I read every one of them!

Mrinank Sharma led the Safeguards Research Team at Anthropic, the company behind Claude AI. On February 9th, he posted a resignation letter saying “the world is in peril” and announced he’s leaving to study poetry and “become invisible.”That same day, AI startup founder Matt Shumer published a long essay comparing this moment to February 2020, right before Covid changed everything. He says we’re in the “this seems overblown” phase of something much bigger.In this video, I break down both of their messages, what they actually said vs. what the headlines are claiming, and what it means for anyone trying to navigate the next few years of AI.This isn’t doom and gloom. But it is a wake-up call.Topics covered:• Mrinank Sharma’s resignation letter from Anthropic• Matt Shumer’s essay on the current state of AI• Why safety researchers are leaving AI labs• GPT-5.3 Codex and Claude Opus 4.6: what changed• AI building itself: what that actually means• What leaders, business owners, and professionals should do right now• How to position yourself before the window closes🔔 Subscribe for almost daily breakdowns on what’s actually happening in AI, explained for real people.

A new Harvard Business Review study confirms what I’ve been saying for months: AI does not reduce your workload. It increases it.

But that’s not the whole story.Researchers from UC Berkeley spent 8 months studying how generative AI changed work habits at a 200-person tech company. Workers didn’t slow down. They sped up. They took on more tasks. They worked through breaks. They multitasked constantly. And nobody asked them to.

In this podcast, I break down the three ways AI intensifies work, why that’s both a risk and an opportunity, and what leaders need to do about it right now.I also share my own experience. AI has made me work more, not less. But the work is better, faster, and more rewarding.

The catch? You have to put in the effort. Garbage in, garbage out.

AI amplifies who you already are.What you’ll learn:

- Why AI expands your workload instead of shrinking it

- How “vibe-coding” creates hidden costs for teams

- The three forms of AI work intensification

- Why verification is the most underrated AI skill

- How to protect your team from invisible burnout

- Why authenticity is about to become your biggest competitive advantage

Based on: “AI Doesn’t Reduce Work—It Intensifies It” by Aruna Ranganathan and Xingqi Maggie Ye, Harvard Business Review, February 2026.

Enjoy!

Harrison Painter

This week, AI showed up where decisions cannot slow down.

The Seattle Seahawks will use Microsoft AI tools during the Super Bowl to analyze plays and adjust strategy in real time. At the same moment, OpenAI released Codex, embedding AI directly into live software development environments.

In this episode of AI for Everyone, Harrison Painter connects those two stories and explains why they point to the same shift.

AI is no longer something teams review after decisions are made.
It is being used while work is happening, under pressure, with real consequences.

We compare OpenAI Codex and Claude Code, unpack what this means for leaders, and outline practical steps organizations should take as AI becomes part of everyday workflows.

~ Harrison Painter