We talk a lot about what AI is doing to our work.

We talk almost nothing about what it is doing to us.

There is a quiet dread in this industry right now that we rarely name.

The pace is real. The daily drops, the discourse, the demos, the quiet dread of opening LinkedIn everyday and discovering three tools you’ve never heard of are apparently now essential. Something in that environment produces a specific feeling most people in this field recognize but rarely name.

The fear of missing something that matters. And the exhaustion of an update treadmill that never quite lets you catch up, no matter how much you engage.

What is less often noticed is this: not everyone navigating the same environment feels the same way. The same release that energizes one person quietly depletes another. The same demo that sparks curiosity in one room produces anxiety in the next.

The conditions are identical. The experience is not. Much like the thin line between excitement and fear. That gap is worth examining.

What determines which side of that line you land on has less to do with the technology and more to do with what is driving your engagement with it.

Two people in contemplation, one oriented toward curiosity and one toward fear of falling behind, with gauges illustrating what drives their engagement with AI. Illustration by Rakesh Patwari.

Cognitive science draws a distinction between approach motivation and avoidance motivation. Approach is movement toward something you want. Curiosity, possibility, the pull of something interesting. Avoidance is movement away from something you would rather not face. Irrelevance, exposure, the feeling of being left behind.

Both produce action. From the outside, it all looks like keeping up. From the inside, one feels like pull. The other feels like pressure.

Approach-driven engagement tends to be self-replenishing. The activity generates its own energy. Avoidance-driven engagement works too, but it draws down something rather than building it. Psychologists call this a deficiency motive. It functions like patching a leak that never stays filled. The work gets done, but the cost here is human and is quieter and slower to notice.

Most of us are running on some mixture of both, usually without noticing the ratio.

These drivers harden into habits, and those habits into a recognizable way of relating to AI. Most people are already in one without having chosen it consciously.

I’ve observed 4 distinct patterns and I have been through most of these myself. 

The relationship that never lets you rest.

You stay current. You have seen the releases, skimmed the threads, tried the new things at least once. From the outside this looks like diligence, and some of it is. But underneath there is a scanning that does not switch off. The reading is not finished when you close the tab. There is always a next thing already forming, and the quiet sense that not knowing it is a kind of exposure. What you set out to do gets done. The nervous system does not get to stop.

The relationship that produces, and slowly hollows the producing.

You produce a lot. The friction that used to sit between an idea and a finished artifact is mostly gone, and you have learned to move through that space fast. The output is real and often good. But the parts of the work that used to happen in the slow space, the sifting, the second-guessing, the sitting with something unresolved, have quietly compressed. You notice it less as a loss and more as a faint flatness on the days you were most productive.

The relationship that renews the energy you put into it.

You follow what is interesting before you know whether it is useful. The reason you came is closer to play than to delivery. You find yourself doing things you could not do before, reaching further than your own hands would have taken you, and the reach itself is part of the pleasure. Time disappears in it, but you come away with more than you brought rather than less. It simply happens to run on a fuel that refills itself.

The relationship that sharpens your own thinking.

You pay attention to what the work is doing to the way you reason, not only to what it returns. You notice when it makes you sharper and when it makes you lazier, and you adjust accordingly. AI is brought in close enough to be useful and kept far enough that the thinking stays yours. This takes effort, and the effort is the point.

None of these is fixed. The same person can be renewed by what they came to do one day and hollowed by it the next.

A four-quadrant illustration mapping relationships with AI across approach and avoidance drives, from renewing energy and sharpening thinking to never letting you rest and hollowing your output. Illustration by Rakesh Patwari.

The line that matters is not which of these you recognize. It is whether the relationship gives back more than it takes. Two of these tend to replenish you. Two draw down something slow to notice and slower to rebuild. It will not be felt in a day. It keeps accumulating. That is why it is worth noticing in the moment, whether what you are doing is adding to you or quietly taking from you.

Which of these has more of your hours than you would choose, if you were choosing consciously?

A drive you cannot see makes the choice for you. A drive you can see becomes a choice you get to make.

Most of the conversation about AI is about what it does for the work. The speed, the output, the leverage. This is an attempt to shine light on the conversation we are not having.