AI Mindset

Everyone's focused on AI tools for 2025, but here's what nobody's telling you: The companies winning with AI aren't the ones with the fanciest tech. They're focused on changing how people work. Here's what actually moves the needle after working with companies worldwide. Hint: Stop chasing shiny new AI tools and start rethinking how your people work.

Check out Conor's recent interview with Geoff on Digital Disruption!

If you purchased our course, Generative AI for Professionals, we've added a new section that we'll update monthly. In it, we review what's new, what's changed, and what you need to know. As this is AI we're talking about, it's already a little out of date for this month. *dabs our forehead trying to keep up with all the announcements* But as Conor says throughout the course: this is not about tools, it's about behavior. To check it out, login to the course > scroll to the Conclusion > Bonus

How's genAI helping your time?

Remember our discussions about ChatGPT’s user experience issues? Well, things are heating up in 2025! Here’s the scoop: ChatGPT has reached 400 million weekly active users! That’s almost everyone in the US and Canada chatting with AI. But here’s the catch: many are still using it like an advanced Google search. What’s still happening? Even with innovative tools like Canvas, our brains are stuck in old habits. It’s tough to shift from using AI as just a tool to seeing it as a true partner. The journey from search to collaboration: Imagine planning a trip. One method gives you generic tips, while another offers a personalised experience! And they've heard the message, as Sam Altman recently shared: “We’ve overcomplicated things. Time to simplify.”

It’s only been a few days, and already Claude 3.7 by Anthropic has been making people drop mind-blown-esque-expletives after they see what it can do. From mastering Pokemon Go to creating new games, it’s out here debugging code, writing reports, and casually crushing PDFs like it’s got something to prove. Claude 3.7 is a whole new ballgame. The “thinking out loud” approach means it catches its own mistakes before you do (which, let’s be honest, is a little unsettling but also kind of brilliant). The artifact generation? No more copy-pasting from chat—just clean, standalone content, ready to go. And then there’s the interactive components, which basically mean you can build functional mini-apps right inside your conversation. Yeah, it’s that kind of upgrade. Why does this matter? Because AI just went from assistant to strategic partner. Executives can lean on it for actual problem-solving, developers can use it as an on-demand coder, content creators get polished, ready-to-publish work, and analysts? Well, let’s just say data interpretation just got a serious boost. Claude 3.7 isn’t playing around.

We gotta break that command+response habit.

The future isn't about finding the perfect prompt - it's about having better conversations.

The excuses we make about AI adoption often reveal our biggest blind spots. When teams say they're too busy with current work to learn AI, they're missing the point entirely. AI isn't another task on your to-do list. It's the truck that makes moving those bricks easier. It's the force multiplier that makes everything else more efficient. Stop carrying bricks when you could be driving the truck. Remember: The time you invest in AI adoption today will save you countless hours tomorrow.

The biggest trap in enterprise AI adoption? Thinking of it as a massive undertaking that requires months of preparation and training. Every day you spend planning the "perfect" AI implementation is a day your competitors are getting ahead. They're not waiting for perfection - they're transforming how they work, one interaction at a time. Don't let the scope of AI transformation paralyze you. Start small, start now, but most importantly - just start.