The Part of AI Nobody Talks About (But Should)
- 3 hours ago
- 2 min read
Nobody warns you that getting good at something and watching it become obsolete can happen in the same year.
I have spent the better part of two decades building expertise at the intersection of digital marketing and technology. I have watched platforms rise and collapse. I have led teams through reorgs triggered by algorithm shifts. I adapted. It was work, but it was legible work — the kind where effort and outcome maintained a reasonable relationship.
What is happening now feels different.
Not because the tools are more powerful, though they are. Not because the pace is faster, though it is. It feels different because the thing being displaced is not a task. It is a category of thought. The synthesis, the pattern recognition, the ability to look across disparate signals and construct a coherent narrative — these were the skills that took years to develop. They are now being approximated, at speed, by systems that have never made a mistake they could learn from.
I do not say this to sound alarmed. I say it because I think the grief in this moment deserves to be named.
There is a particular professional disorientation that comes from watching the thing you were praised for become a commodity. I have seen it in rooms full of smart people who are performing confidence while privately recalibrating everything. The conversation around AI in the workplace has been dominated by efficiency metrics and adoption timelines. It has not made much room for the quieter question: what do you do when the scaffolding of your professional identity shifts under you?
What I have landed on — imperfectly, provisionally — is this: expertise does not become worthless when it becomes replicable. It becomes differently valuable. The person who spent years developing judgment does not lose that judgment because a model can now produce a first draft. What she gains is time. Time to apply discernment at a higher level. Time to ask better questions. Time to do the work the model cannot: decide what matters.
The grief is real. So is the opportunity. Both deserve space in the same conversation.
We are not going to think our way through this transition by pretending it is only exciting. It is also disorienting and, for some people, genuinely hard. The professionals navigating it most effectively are not the ones performing certainty. They are the ones willing to sit with the discomfort long enough to understand what it is actually telling them.
That has always been the work, underneath the tools.
It still is.






