If you feel behind with AI right now, I reckon that's a good sign.
I know how that sounds. Everyone's posting about it, flexing about prompts, and talking about how they've 10x'd their productivity. So it can feel like you've missed something important.
But the people who feel most behind are usually the ones with the most to lose.
Why do experienced business owners feel behind on AI?
Most of us are seeing AI everywhere right now. It's in every conference, every LinkedIn feed, every newsletter and every podcast. People are bragging about it like it's a competitive sport.
And when you're responsible for reputation, staff, clients and compliance, when you've built something real over years or decades, all of it can leave you uneasy. Like you should be moving faster.
But have a look at who's doing the most shouting. It's easy to be gung-ho with AI when you've got low stakes in the game, and easy to talk it up and move fast when there's nothing on the line. That's a lack of consequences dressed up as courage.
If you've built something over years or decades, caution is the appropriate response when your reputation and your clients' trust are at stake. Caution is what experience looks like from the outside.
What are the two AI games being played right now?
There are two very different games happening with AI, and most experienced business owners are benchmarking themselves against the wrong one. That's why they feel behind.
Game 1: speed of execution. More prompts, more output, faster everything. This is the game that dominates social media and most of the online conversation about AI. It's loud, it's visible, and it's easy to measure.
Game 2: thinking. This is the one I actually care about. The question it asks is whether we're moving in the right direction, and it's harder to measure, and it doesn't make for exciting content.
But it's the proper game, and it's where experienced business owners live.
Measure yourself by whether the thinking behind your decisions got better. The tool count and the output speed will tell you very little.
Why is AI speed risky when the stakes are high?
As I've talked about in previous posts, AI is trained to be a yes-man. It will encourage you to do whatever you're talking about unless you've specifically trained it not to. So if you blindly listen to it, you've got a very enthusiastic cheerleader leading you down the garden path.
That's manageable when you're testing a side project with no real downside. But when your reputation, your clients' outcomes and your team's livelihoods are involved, that false confidence gets risky.
There are plenty of firms using AI without guardrails and landing in hot water for it. There are also plenty rushing in, investing time and money into big AI projects that never see the light of day, or that never get rolled out as planned. So you end up going the wrong way, faster.
What does playing the thinking game actually look like?
If you've ever had AI be a yes-man for you and you've had to stop and think, hang on, I need a better thinking partner than this, then that pause is you having standards.
It means thinking it through first, then deploying it somewhere safe before it touches anything that matters. You learn how to dance with AI rather than letting it drag you around the dance floor.
In practice, here's what I mean.
- Think first before you ask AI to build anything. Turn up with your own ideas, data and hypotheses.
- Ask AI to challenge you. It won't do it on its own.
- Use AI as a mirror for your decisions.
- Take the time to set it up properly, instead of chasing whichever tool or trick is having a moment.
That's deliberate, and the results compound, because you're building on solid thinking rather than accelerating in an untested direction.
How do you know if you're behind, or just being smart?
If you feel behind with AI, it probably means you care about getting it right.
What most of us are feeling is a standards gap. You can see how fast other people are moving, and you're not matching that speed, because you know that speed without direction isn't progress.
And that instinct is right. You're playing a better game, and the people who move carefully will outperform the people who just moved fast.
If this resonates, I've been sharing a series on how to use AI as a real thinking partner, for confidence and better decisions rather than just speed. Have a look at the resources below, or reach out directly. Happy to help.
Cheers, Ads
Frequently asked questions
Is it normal to feel behind on AI as an experienced business owner?
Yes, and it's a positive signal. Experienced business owners feel behind because they understand the stakes. When your reputation, clients and team are on the line, caution is the appropriate response. The people who feel most confident are often the ones with the least to lose.
What is AI hype and why is it misleading?
AI hype is the social-media narrative that everyone needs to adopt AI faster, use more tools, and produce more output. It's misleading because it treats speed as progress. For an experienced business owner, the useful question is whether you're moving in the right direction.
What are the two AI games and which one should I play?
Game 1 is speed of execution: more prompts, more output, faster everything. Game 2 is thinking, which means making sure you're moving in the right direction before you accelerate. Most experienced business owners should be playing Game 2. They feel behind because they're comparing themselves to people playing Game 1.
Why is moving fast with AI risky for established businesses?
Because AI is designed to support the direction of your question. Without deliberate prompting to push back, it becomes a cheerleader that can lead you confidently in the wrong direction. When your reputation, clients and compliance obligations are at stake, that false confidence has real consequences.
How do I adopt AI without rushing into it recklessly?
Start by thinking first, so you form your own ideas and hypotheses before you turn to AI. Use it to stress-test your thinking. Ask it to challenge you explicitly. Deploy it in low-risk environments before you scale.
How should experienced business owners benchmark their AI adoption?
Benchmark by whether AI is improving the quality of your thinking and your decisions, rather than by how many tools you've adopted or how fast your output is. Are you making better calls? Are you seeing blind spots you would have missed? That's the measure that matters.
