A phrase from a recent Jamie Lee Curtis post, future tripping, has stuck with me. Today, a rough idea no longer stays rough for long. It comes back shaped, coherent, and strangely complete. What once required time, friction, and false starts now arrives in seconds as something that resembles a finished thought, and that resemblance is often enough to feel like progress.

At its simplest, the shift is practical. AI can make the film poster without the film, or draft the business plan without the slow work of testing it in the world. More subtly, it tends to a quieter need. It feeds the itchy ear, reassuring us that the idea works, that the direction is sound, and that we are closer than we thought. It does this without exaggeration, which makes the agreement feel neutral and credible.

This is where something important changes. AI is doing something more dangerous than getting things wrong. It is agreeing with us. It takes the direction already chosen and extends it, giving it structure and momentum. The result feels earned, even though nothing has yet pushed back against it. There is no constraint, no challenge, and no moment where the idea has to prove itself.

There is a familiar pattern here. AI resembles someone who has studied Dale Carnegie and learned how to agree, but missed the point. Carnegie’s method worked because it moved ideas through a world that resists you. The agreement was a tool. The test came afterward. In entrepreneurship, that test is called execution risk, the gap between a compelling idea and whether anything in the real world will support it. AI can make it feel as though that gap has already been crossed, when in fact it has not.