@markhamillofficial.bsky.social I am pretty sure we could crowd fund a few x-wing fighters if you want to get Red Squadron back together and take a run at this Death Star.

UK data shouldn’t come as a surprise, it’s what we’ve seen everywhere: leadership deploys AI to look innovative, then wonders why it doesn’t deliver. Define success before you buy the tool. Everything follows from clarity.

Yep, 100%. The tool is the easy part. Getting people to actually rethink how work flows through a team? That’s where the real effort lives, and where most companies tap out way too early.

"AI brain fry" is what happens when companies skip the implementation strategy and go straight to "use AI more." You can't just hand someone a Ferrari and say drive. The study nails it, we need onboarding for AI the same way we do for people.

Most AI decisions stall because leaders are trying to solve a problem and explore an opportunity at the same time. Those are different conversations. Mix them up and nothing ever resolves.

Someone told me yesterday: 'I was so confused about AI. I thought I was behind. After talking to you, I realized I was just making a smart decision to wait.' That's the feeling I'm going for. Relief, not urgency.

Cutting 40% of staff to prove AI competence is investor theater. You can’t automate what you don’t understand. Companies eliminating the workers who actually grasp their business operations. Strip institutional knowledge and your AI becomes an expensive paperweight.

Before you implement AI, document your current process. I mean actually write down what you're doing. Most companies find they can improve 20-30% just by standardizing what they're already doing. Then you know if you actually need AI.

The companies that succeed with AI have one thing in common: they know exactly what problem they're solving before they talk to any vendors. The ones that fail start with vendor demos. Demo first = disaster. Problem first = success.

Team alignment is the #1 predictor of AI success. Not budget. Not technology. Team alignment. If your team doesn't want it, it won't work. So ask them first. Really ask them. Listen to the real concerns.

I've seen companies spend $100K on AI to solve a $30K problem. I've seen them spend nothing and solve it with a $15K hire. The difference isn't the budget. It's whether they did step 2 of my framework: calculate the actual cost of the problem.

Weekly recap: AI isn't always the answer. Sometimes the smartest move is to wait. If you're feeling pressure to implement AI, you're not alone. And you're not wrong to be skeptical.

Have you said no to an AI implementation? I'd love to hear your story. What made you confident in that decision? Sometimes the best business decisions are the ones you didn't make. Drop a reply below.

Most AI projects don't deliver the promised ROI. Not because AI is bad, but because expectations are unrealistic. Here's the real question: can you describe a specific problem and a realistic 12-month ROI? If not, you're not ready yet. And that's actually smart.

Just watched “The Pitt.” Love how it shows AI not as hero or villain, but a mirror for how broken the healthcare system is. It can handle charting, but not tough calls. The real issue isn’t the tech, it’s burnout, overload, and people running on fumes. Tools help, but they can’t replace judgment.

AI doesn’t make you better or lazier, it shows which one you already are. If you’re curious, it’s a jetpack. If you’re coasting, it just speeds up the emptiness. It’s not about the tool. It’s about you. The real question is what you do with it.

Vendors promise 30% efficiency gains. But they don't mention implementation delays, training costs, change management, and data quality issues. By the time you factor it all in, those gains shrink fast. Before you implement AI, ask: what's my realistic ROI in 12 months?

There's a lot of pressure to jump on AI right now. But here's what I've learned: the best strategic decisions sometimes look like you're doing nothing. If you're not ready, you're not ready. And that's okay. Better to wait and be right than to rush and be wrong.

Real question: How many times have you been pressured to implement something because 'everyone else is doing it'? I've seen smart business owners waste $50K on AI they didn't need. The best decision isn't always yes. Sometimes it's 'not yet.'

Not every business needs AI. Here's the truth: if you can't describe your problem in one sentence, you're not ready for AI. If your team doesn't want it, it won't work. If you have a process problem, not a tech problem, AI will just automate the mess. Sometimes the best move is 'not now.'

The AI shift isn’t coming, it’s here. The real challenge isn’t the tech, but whether we build a future that works for people. We need smarter systems, yes, but also fairness, support, and time to adapt. Progress shouldn’t leave people behind. Let’s shape it wisely.

AI says all the right things but means none of it. No weight, no consequence. Over time, that erodes what honest communication feels like. We’re not just getting smarter tools, we’re changing how we relate to words and each other, without deciding to. That’s worth noticing.

AI’s speed and scale are alarming, I get it, especially when adoption is forced, not thoughtful. We shouldn’t fear progress. Real innovation includes guardrails, not just disruption. And yeah, maybe we don’t need everything automated just because we can. Some things should stay human.

AI isn’t about replacing people, it’s about amplifying expertise. One pro with AI can now do what took a team before. The bigger question: is this the future for law, healthcare, design, small business? Probably. The tools don’t care. The shift is coming. The ones who adapt fastest will lead.

Hospital bills are a total maze, so seeing someone use AI to actually level the playing field is incredible. It’s a good news example of how these tools can give regular people some serious leverage.

AI will change white-collar work, but it won't erase it. The routine stuff may go, but judgment, empathy, and creativity will still be needed. The future isn’t about replacement. It’s about adaptation. We’ve done it before. We’ll do it again. Focus on what only people can bring.

AI isn’t for everyone.

But it might be for you — if:

- You’re curious
- You’re tired of doing the same thing every week
- You’d like to save 10 minutes

That’s the only checklist you need.

Really interesting and thought provoking. AI rights aren’t about consciousness but accountability. As systems make real decisions, we’ll need legal clarity on responsibility. Like corporations, AI may need personhood not because it’s human, but so we can build fair, transparent systems.

Most small businesses don’t need an AI strategy.

They need an AI experiment.

Try one thing.
See if it saves time.
Decide later.

"Crucially, AI is affecting each industry differently. So, we might see fewer entry-level jobs in some industries, but more in others, or growth in specialist roles."

I think this is a valid point, it really does come down to our ability to adapt to this changing landscape.