AI is not coming for our jobs. It is already in the room.
I want to use this space for something a little more serious than what I usually write about. Something happened yesterday that I have not been able to stop thinking about, and I think it is worth saying out loud.
A close friend of mine bought a fully self-driving vehicle. I went with him to pick it up. We got into an Uber on the way to the dealership, and somewhere along the drive, our driver started telling us about himself. He told us that he had lost his job about a month ago. He was a banker. He had spent years in that career. The reason he gave for the loss of the role was AI. He was now driving for Uber as a second job, working hours that did not match the life he had built before, trying to keep things together while he figured out what came next.
We sat in the back seat and listened.
He drove us to a dealership where my friend and I were picking up a car that drives itself. I did not say that out loud during the ride. I do not think I needed to. The math was already in the air. He had lost one job to AI. He was now driving a vehicle that AI is on track to replace as well. The same technology that closed one chapter of his career was waiting to close the next one. He was generous, he was friendly, he answered every question we asked. I do not think he knew where we were going. I am not sure it would have mattered if he did.
I have been building, using, and talking about AI publicly for years. I am a believer in the technology. I think it is going to be the largest economic force of our lifetimes. I think most of what we are going to see in the next decade is going to be net positive for the people who learn to work with it. I have said all of that on this blog, on LinkedIn, and in every conversation I have with operators in the industries I care about.
What I want to say today is that none of that excuses tone deafness.
There is a version of the AI conversation right now that talks only about leverage. About output per worker. About the agents and operators who are pulling ahead and the agents and operators who are falling behind. I have written some of that content myself. I will keep writing it, because the operational lessons are real and the people I work with need to hear them. But that framing is not the whole picture. The whole picture includes the person in the front seat of the Uber, listening to two strangers in the back, on the way to a dealership where one chapter of his work and another chapter of his work are going to be closed by the same technology, one after the other.
That person matters.
Not in a soft, virtue-signaling, AI-with-a-heart-emoji way. He matters because he is one of millions of people who are quietly losing a foothold in the economy while the rest of us are talking about productivity gains. The losses are not abstract. They are landing on specific people in specific homes with specific families and specific bills and specific dreams. The losses are not coming. They are here.
If you are building AI, deploying AI, investing in AI, or operating with AI in your daily workflow, this matters for two reasons that I want to be clear about.
The first reason is moral. The work we are doing is reshaping the economic baseline for millions of people. We owe those people honesty about what is happening and about what we are doing. We do not owe them a sales pitch dressed up as encouragement. We do not owe them the polished version of the future that fits cleanly into a deck. We owe them the truth. The truth is that AI is taking work that human beings used to do. The truth is that some of that work is not coming back. The truth is that the people who lose it are going to need real help, not catchphrases, to find their way to the next chapter.
The second reason is practical. The most powerful business case for AI in the long run will be built by the operators who treat the human cost of the transition as a real input, not an afterthought. The companies that race to deploy AI without thinking about the people on the other side of it are going to face a level of public backlash, regulatory friction, and customer skepticism that is going to slow them down more than empathy ever would have. The companies that build the transition deliberately, that invest in retraining, that protect the human relationships at the center of their business, and that lead with compassion are going to outlast and outperform the companies that did not. Compassion is not in tension with operational excellence. It is a precondition for sustainable operational excellence over the next decade.
I am not writing this to scold anyone. I am writing it because I sat in the back seat of a car yesterday and watched a person tell me about losing his job to a technology I help build, and then drive me to buy a vehicle that is going to take his next job from him too. I have not been able to set the moment down since.
I do not have a clean answer for what every operator should do tomorrow morning because of this. I do not think there is one. The honest answer is that every person reading this is going to have to figure out what their own version of leading with empathy looks like in their own work. For some people, that will mean hiring with awareness of who is being displaced and where they might land. For some people, it will mean designing AI implementations that augment workers instead of replacing them. For some people, it will mean being honest with their teams about what the technology can and cannot do, and what the company plans to do as the capability expands. For some people, it will mean using the influence they have to advocate for retraining, for social support, for policy changes that catch the people the technology is moving past.
What it has to mean for all of us is a refusal to look past the human cost of what we are doing. The losses are real. The people losing are real. The transition is happening at a speed and scale that has never been seen before, and the people who are getting moved past are not going to make up the gap on their own.
I am still, on every other day of the week, the same operator I was the day before yesterday. I still believe in the technology. I still believe the operators who lean in are going to define the next decade. I still think the right call for anyone reading this professionally is to start using the tools today and let the practice compound. None of what I said in this post changes any of that.
What this post is asking of you, and of me, is to hold both things at the same time. Build the future. Use the tools. Lead the transition. And do all of it with your eyes wide open about the cost the transition is imposing on people who did not ask for it, did not choose it, and did not get a say in how fast it would arrive.
That is the operator stance I want to be associated with, and the one I want the people I work with to be associated with too. Operators who tell the truth about what is happening. Operators who lead with empathy without going soft on what the technology can do. Operators who do not flinch from the gains and do not look past the losses.
To the banker who drove us to the dealership yesterday, thank you. Your story is going to sit with me. I hope your next chapter comes faster than you expect, and I hope it lands in a place that is harder for AI to disrupt than the one you recently left. To anyone reading this who is in the same position right now, you are not alone, and you are not failing. The economy is moving in a way it has never moved before, and the people getting moved past have not done anything wrong.
To everyone else, the operators, the builders, the deployers, the investors, the executives reading this from inside a company that is about to make decisions like the ones I am writing about, this is the part of the conversation we cannot keep avoiding. The technology is real. The gains are real. The people are also real. We have to hold all three at the same time, or we are not actually being honest about what we are doing.
AI is not coming. It is already in the room. So are the people it is moving past. We have to see both clearly. We have to lead with compassion. And we have to tell the truth.
That is what every conversation about AI right now should actually be about.
Judd Hoffman is CEO and Co-Founder of Ethica AI, building AI-powered tools for real estate transaction workflows.