I've been watching how companies approach AI adoption, and there's a clear pattern emerging. It's not just about who's using AI. It's about how deep they're going.
Three Levels of AI Maturity in Business
The Tiers
Most companies are asking:
"Help us onboard our 3,000 employees to Claude Code/Codex."
Some companies are asking:
"Help us build our first end-to-end agent outside of the engineering org."
And a few companies? They're asking:
"Help us finetune a Chinese/open-source model so we can lower our agent cost by 50%."
What It Means
The first group is focused on tools. Getting people comfortable with AI assistants. That's table stakes now.
The second group is thinking bigger. They're building autonomous agents that can handle entire workflows. And they're pushing AI beyond just the engineering team. If you're exploring high ROI AI use cases, this is where the real opportunities live.
The third group? They're playing a different game entirely. They're optimizing infrastructure, cutting costs, and taking control of the entire AI stack. These are the companies that will have serious competitive advantages.
The Takeaway
Here's the thing. Each tier requires a fundamentally different level of investment and expertise. Most companies are still at tier one. But the gap between tiers is widening fast. And if you're serious about understanding where AI is headed, you need to know which tier you're playing in.
The companies moving to tier two and three aren't just using AI. They're building with it.
So ask yourself: which tier is your company in right now?