Lately there have been many articles talking about AI replacing jobs. Some are very pessimistic, saying that by 2028 many people could be out of work. That fear has already shaken stocks like Uber and others.
On the other side, Nvidia’s CEO recently argued that AI is not simply about people losing jobs. It is about making the world run more efficiently.
From our own experience, we are not that pessimistic.
If you look at history, every major technology shift replaced certain tasks but also created new roles. When factories came, traditional sewing work changed. When computers came, typewriters became obsolete.
But people did not disappear. They adapted and moved into new work.
AI feels similar to us.
In our team, before AI, our copywriter spent a lot of time writing every property description from scratch.
Now AI helps streamline part of the writing process.
But that does not make her less valuable. It makes her more powerful.
Instead of spending all her time on wording alone, she now creates custom lyrics for each property and generates music for open houses. AI did not replace her. It expanded what she can create.
So the real question becomes:
Can AI replace agents?
At least right now, we do not think so.
We have asked AI to help with negotiation scripts, pricing strategy, and property evaluation.
What we found is that AI often has very believable logic and gives predictable conclusions when situations look normal.
But great agents are not here to follow predictable conclusions.
We are here to make bold moves, create momentum, and sometimes change the direction of the market.
In other words:
AI predicts patterns. Humans create them.
We saw this clearly in real situations.
AI negotiation scripts sounded reasonable, but they failed in real conversations because they lacked human judgment and timing.
In pricing strategy, one seller asked us to follow AI’s suggested listing price. It failed terribly because the market context had already changed.
For home valuation and comparables, AI was wrong about 70% of the time in our experience because it could not understand strategic pricing moves.
In one case, a home was intentionally listed very low after a $1 million price drop to create momentum and buyer frenzy. AI misread the strategy and estimated the value about 20% below the actual pending price.
In another case, we tested a lower list price that did not perform well. We then raised the price strategically to present transparent pricing. AI still predicted the home would sell higher because it was following patterns without understanding real time market psychology.
I believe AI will improve over time. It will absorb more context and become more capable.
But there is still a fundamental difference.
AI predicts patterns from the past. Humans create the new patterns.
That is why we use AI, but we do not follow AI blindly.
AI helps us move faster and become more efficient, but the strategy, judgment, and bold decisions still come from people.
And with or without AI, here is our old fashioned line again:
Buying or selling a home, just say Wen!