The AI You're Using Today Is
the Worst It'll Ever Be

Waiting for AI to be ready is the riskiest thing you can do right now. I know that's counterintuitive. We're trained to wait for maturity — for the bugs to be fixed, the best practices to be established, the case studies to accumulate. But AI doesn't work that way.

AI improvement follows an exponential trajectory, not a linear one. The tools you're using today are the worst versions of those tools you will ever use. The tools you'll be using in six months will make today's feel prehistoric. Waiting doesn't mean you get a better starting point. It means everyone else has been learning for six months while you were deciding.

The Exponential Trajectory

From January 2024 to now, AI capability has advanced faster than any technology adoption curve in history. Not just better outputs — fundamentally different capabilities. The jump from GPT-3 to GPT-4 was enormous. The jump from GPT-4 to what we have now is larger. The jump coming in the next twelve months will be larger still.

Companies that implemented AI six months ago possess organisational capabilities that compound over time: fine-tuned models that know their business, trained teams with months of practice, and established processes that get smarter daily. That gap only widens.

Reframe the Comparison

Stop comparing AI to your best employee. That's not the right frame. The right question is: what would I do with an army of 75%-good workers that cost essentially nothing?

"The 75% solution today beats the 100% solution that never ships."

The answer changes everything. You'd use them for every task you currently don't have time for. You'd experiment. You'd scale things that currently can't scale. You'd build systems that run while you sleep.

Countering the Common Objections

"I'll wait until it's more mature." More mature means more competitive. The advantage exists precisely because most people are still waiting.

"My industry is different." It isn't. Every industry said this about the internet.

"I don't want to compromise quality." AI doesn't replace quality. It handles volume so quality can focus on the things that actually require it.

What to Do This Week

The window for early-mover advantage in AI is closing. Not because AI is becoming commoditised — because the organisational learning gap between those who started early and those who haven't is becoming insurmountable.

Start. Imperfect. Now.

Next Proactive AI: Why Your Assistant Should Work While You Sleep →