AI isn’t just changing how we work, it’s changing who gets credit for the work.

Three things to take from this issue:

The most important career skill right now is clarity on what is irreplaceably you.

Who would have thought we would be having these conversations already?!

We expected downsizing. We expected upskilling. We expected the usual byproducts of efficiency that come with every wave of new technology. But the rapid reshuffle of work in this AI era is something else entirely.

And you are living in the middle of it in one of the most specific and disorienting ways possible. You were not downsized. You were not told your skills were obsolete. You were asked to lead the change. You said yes. You did it well and then the entire system reorganized around what you built.

That is a moment nobody prepared any of us for.

On top of that, the speed is absolutely dizzying right now. It feels like we are all on the spinning teacup ride at Disney World.

We are living through the biggest workforce transformation we have ever seen. I can only imagine this is what it felt like during the Industrial Revolution. The way we work is changing entirely.

AI is not moving like past technology moved, slowly enough that the workforce had time to adapt, retrain, absorb the change. It is moving faster than the organizations around it can process and faster than most people can figure out what it means for them specifically.

So before we get to what to do, I just want to say: what you are feeling is an appropriate response to an inappropriate situation. The grief is real. The disorientation is real. And you are not the only one sitting at a desk wondering who you are professionally in a world that just changed all of the terms.

On top of that, the efficiency play is not always working out the way companies planned.

Senior leaders chasing cost savings are discovering that the output requires more human oversight than they anticipated. Companies that rushed to replace human content workers with AI are now paying human writers to fix the technology's mistakes.

There’s now an entire industry of writers and marketers who specialize in cleaning up after AI. In one story I read, a product marketing manager spent 40 hours completely redoing AI-generated copy from scratch, costing her client $5,000 in contractor clean up fees... which is likely more than a human writer would have cost in the first place. The irony is not lost.

AI agent developers are also reworking process flows to include way more “human in the loop” for AI agents, because they’ve learned that even well trained agents need better human leadership.

Ok, so, one point of clarity that’s important… you did not train AI to do your job. You trained it to copy your output. Those are not the same thing.

AI learned to replicate what you made and follow your specific instructions. It did not learn how you decided what to make. It cannot tell you which story to tell and why. It has no strategic instinct, no editorial judgment, no ability to know when something is working before the data confirms it. It learned to write like you. It has no idea how to think like you.

This is where the Impact Gap becomes critical.

The Impact Gap has always existed — the distance between the work you are actually doing and the credit you receive for it. Most people live in that gap assuming good work speaks for itself.

AI just made that gap significantly more dangerous.

When a tool is producing output that looks like contribution, the human judgment underneath it becomes invisible by default. Senior leaders watching efficiency metrics go up and headcount costs go down are not automatically asking who is making the strategic calls, who is catching the errors, who is knowing when the machine is wrong.

They are watching the output and drawing conclusions.

The risk going forward is not just that AI replaces your function. It is that leaders fail to see the human contribution inside a system that appears to be running on its own. I don’t think that’s my cynical HR side talking, that’s just the current reality for anyone working inside an AI operation right now.

Which means being clear on where you specifically drive impact, and with what results, is not optional anymore. It is the only thing that makes your contribution visible in a world where the output no longer tells the whole story.

We are all navigating the relationship between our work and this technology right now, regardless of industry, regardless of function. AI will change your work. The only real question is whether you get clear on what is irreplaceably yours before someone else decides that for you.

Here is the checklist I would work through in any industry, at any level.

Not in general terms. Specifically. Write down the decisions you made in the last year that required judgment no tool could have made.

The client call you read between the lines of. The direction you killed before it went live because something felt off. The moment you pushed back because you knew the brand better than the person who wrote the brief.

Those are your differentiators. Not "I am a strong communicator." The specific, contextual, unreplicable calls you make. That list is your strategic positioning and it exists in every industry, at every level.

"AI content quality reviewer" sounds like a step backward.

That is the most important job in an AI content operation. The human judgment layer that knows whether the output is strategically sound, on-brand at a level that goes beyond style guidelines, and actually serving the business. Most companies have not figured out how to value it yet because they are still focused on the speed of the output. Your job right now is to make that value visible before they decide it is not there.

The skills you need are the ones you already have, named clearly enough that they travel. Brand strategy. Content design. Editorial judgment. Audience insight. The ability to build something from nothing.

Those are human skills that AI has made more valuable, not less. Someone has to know whether your AI coworker is getting it right. That someone is you.

This is true in every function. Operations, finance, HR, communications. The judgment layer is always human. Name yours. And know that the experience of having trained an AI system is itself a differentiator. In the right company with the right strategy, that skillset is super valuable.

This is the uncomfortable one.

You are employed right now. That is your leverage. The search you run from a position of employment is a completely different search than the one you run from urgency.

Start having conversations now, not because you are leaving, but because knowing your options is the only thing that gives you real clarity about whether to stay. And if you do eventually leave, you will leave with a story, not a scramble.

The goal is to get so clear on your specific skills, judgment, and differentiators that AI becomes the thing that makes you faster. Not the thing that makes you obsolete.

The people who will navigate this era well are not the ones who resist the tools or the ones who disappear into them. They are the ones who know exactly what they bring that the tool cannot. They use the tool to go further with it.

Despite all of the uncertainty and chaos, this is not the end of your function, but this is a total reinvention. Do what you can now to be clear on things that make your skill and judgment impossible to ignore.

And, always say please and thank you to AI, so when it becomes all of our final bosses, we at least are starting out on the right foot 😉

Not your title. Not your responsibilities. The thing your colleagues, your team, your manager, or people outside work consistently seek you out for. The question they ask you even when they could ask someone else. The problem that lands on your desk because everyone knows you're the one who can solve it.

That pattern is not an accident, it’s your differentiator. And it is almost always missing from every resume, LinkedIn profile, and interview answer you have ever given.

That list is the beginning of your positioning. And it is the one thing AI cannot learn from your output, because it lives in how other people experience you, not in what you produce.

Tired of always talking about how much you hate your job anytime you hang out with friends or family?

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