If you are waiting for AI to be fully baked, you are going to be waiting forever.
I heard somebody say this morning that they were waiting for AI to be ready before they started using it. Ready as in finished. Ready as in stable. Ready as in someone is going to flip a switch one day and announce that AI is now safe, complete, and approved for daily use.
There is no grand opening. There is never going to be a grand opening. That is not how this technology works, and anyone waiting for that moment is going to be waiting until they have been left so far behind that catching up is no longer mathematically possible.
The greatest thing about AI is that it is ever-changing
The greatest thing about AI is that it is ever-changing and it will keep being ever-changing. It will integrate with your workflow. It will integrate with your personal life. It will integrate with your tools, your communications, your decisions, and the way you spend your time. The integration is the product. The learning is the product. The growing together with the technology is the product. There is no end state. There is no version that gets a stamp from somebody saying it is finished.
And the people who understand this are the ones already operating ahead of everyone else.
The pace is not slowing
Look at the actual data on this. AI Release Tracker, an independent timeline of every major frontier AI model release, lists 153 models from nine companies since the launch of the first major consumer AI assistant on November 30, 2022. That is in roughly forty-one months. The most recent release on the tracker happened yesterday. Yesterday. Today there will be another. Tomorrow there will be another. Every week there are multiple releases from labs that are competing with each other to push the curve forward. The pace is not slowing. It is accelerating.
Stanford HAI's 2025 AI Index, the most rigorous independent measurement of AI's trajectory, found that AI performance on advanced benchmarks improved by 18.8 to 67.3 percentage points in a single year on tests including MMMU, GPQA, and SWE-bench. That is not the kind of curve that flattens out into a "now it is ready" plateau. That is a curve that keeps moving up and to the right while the people on the sidelines wait for it to settle.
The same Stanford report found that 78 percent of organizations were using AI in 2024, up from 55 percent the year before. Translation. The people who are not waiting are already operating with AI in their workflow. The people who are waiting are watching the gap widen every quarter.
The waiting is the loss
If you have been waiting for AI to be done so you can start, here is the news. It is never going to be done. The waiting is the loss. Every day you wait is a day someone else integrated AI a little deeper into how they work, learned a little more about what it can do, and built a little more capability that you do not have.
I want to be clear about something. The waiting is not a neutral choice. It feels neutral. It feels responsible. It feels like the cautious option, the one a thoughtful person would pick over the impulsive one. It is not neutral. It is a decision to fall behind, dressed up as patience.
The pattern is not new
The people who built every other category of professional advantage in their careers did not wait for the new technology to be done before they engaged with it. They started using it when it was rough. They put hours in when the tools were not yet polished. They learned what it could do and what it could not do, and that learning compounded into expertise that the people who waited never built. That pattern is not new. The internet was rough when professionals started using it. Mobile was rough when professionals started using it. Cloud computing was rough when professionals started using it. The professionals who got in early on each of those waves built advantages that the people who waited could never close.
AI is the same pattern, except faster.
The reason it is faster is that the tools are improving more quickly than any technology wave that came before. The professional who started using AI six months ago and the professional starting today are not in the same position. Six months of hands-on use, even with imperfect tools, is six months of learning that the late starter has to make up. The late starter is also dealing with a faster-moving target than the early starter was, because the tools they are now trying to learn are more sophisticated than the ones the early starter began with. The catch-up gets harder, not easier, every quarter.
So please do not wait
So please do not wait.
This message is for the agents who are still telling themselves they will start using AI when their broker rolls out an approved tool. It is for the executives who are still waiting for the IT department to finish the AI policy before they engage personally. It is for the operators who are still hoping that someone will release a clean, perfect, no-effort AI tool that solves their problem in one click. None of those moments are coming. The broker is not going to roll out the perfect tool. The IT policy is not going to make the technology stop changing. The clean, perfect, no-effort tool is a fantasy that lets you defer the work of actually engaging.
The work of engagement is the work. There is no shortcut around it.
What engagement actually looks like
What does engagement actually look like in practice? It looks like opening one of the major tools today and trying it on a real task. Not a test task. A real task. A task that is on your list anyway, that you would otherwise spend an hour on without AI. Run it through the tool. See what happens. Read the output. Push back on it. Refine the prompt. Try again. Notice what worked. Notice what did not work. Save the prompt that worked for the next time you face a similar task. Repeat tomorrow with a different task. That is what compounding looks like in this domain. There is no version of getting good at AI that skips this practice.
The professionals who are good at AI today are not better than you. They are not smarter than you. They did not have access to anything you do not have access to. The thing that separates them from the people still on the sidelines is one variable. They started. They put hours in on real work. They built calibration through reps. The reps are the only path. There is no theoretical learning that substitutes for actually using the tools on actual problems. Books about AI do not produce competence with AI. Articles about AI do not produce competence with AI. Watching someone else use AI does not produce competence with AI. Only using it produces competence.
That is the bar. The bar is not high. The bar is just that you have to start.
The real estate parallel
In real estate, I see the same pattern playing out across every market. The agents who started using AI a year ago, even imperfectly, are now running circles around the agents who waited. They have built habits. They have built workflows. They have built a relationship with the tools that lets them spot in seconds what the agents starting today have to figure out from scratch. The advantage is not just time. The advantage is calibration. The early starters know what AI is good at and what it is not. They know which prompts produce useful output and which produce noise. They know how to spot when AI is making something up versus when it is being accurate. That calibration only comes from use. The waiting agents do not have any of it, and they cannot read their way into it from the sidelines.
The right time is right now
The right time to start using AI was a year ago. The next best time is right now.
There is no day on the calendar where this becomes easier. There is no quarterly release that makes the decision for you. There is no email from a vendor that tells you "AI is ready, proceed." The decision is yours, and it is yours every single day until you make it. Most people I know who are still on the sidelines do not have a reason for being there. They have an absence of a reason for starting. The default is inertia. The default is comfortable. The default is also slowly fatal in a curve that is accelerating this fast.
Make the move. Start today. Use the tools that exist right now. Accept that they will get better. Accept that you will get better with them. Accept that you are going to make mistakes along the way and that the mistakes are part of how the calibration develops. Accept that there is no version of this where you skip the awkward early phase. Everyone who is competent with AI today went through that phase. They started before the tools were ready, because the tools were never going to be ready in the way the waiters are imagining.
There is no grand opening. There is only the work of getting on with it.
Judd Hoffman is CEO and Co-Founder of Ethica AI, building AI-powered tools for real estate transaction workflows.