When AI does the work, what do you do?
I've noticed a common topic creeping into my 1:1 meetings recently. With Sales Leaders. Marketing Leaders. Operations Heads. Leaders with strong track records, and a shared quiet anxiety they don't quite know how to name.
Five years in. Ten years in. Twenty years in. Doesn't matter. Everyone's asking the same question: will there still be a role for me on the other side of this?
And when I push them — "What does your week actually look like?" — the answer is almost always some version of the same thing:
20+ hours of internal meetings. Status updates that exist to share information that could be an email. Coordination calls that exist to align on decisions that haven't been made. Reporting cycles that exist to describe work the AI could have already done.
That's not a role. That's task management at human cost. And honestly speaking it makes some of the more interesting people I know miserable and maybe a bit more boring.
So I started asking them a different question across the table: "If the AI handled all of that tomorrow — the status updates, the coordination calls, the reporting — what would be left?"
And honestly? Some people laughed and said "I'm not sure I'd have a job."
Which isn't really a joke about AI. It's a confession about what happened to their purpose somewhere along the way.
But keep talking — and something shifts.
- A Sales Director says: "More time with my customers. That’s why I got into sales. That’s where I get my energy. Somewhere along the way I became a data entry admin with a quota."
- A Marketing lead says: "Making work I’m actually proud of. I used to love the craft. Now I spend my days chasing approvals on content that was mediocre before it even left the building."
- A Content Operations Director says: "Creating something that actually matters. Something that helps the customer, moves the business. I used to feel that connection. Now I just feel constant cost pressure and deadlines."
None of these amazing and talented people lost their purpose. They just stopped being able to find it under everything else.
AI doesn’t take that from you. In many ways, it gives it back.
That's the shift. The job title stays the same. The work underneath it changes completely.
Last week at Adobe Summit, Jensen Huang said twelve words that crystallised everything:
"You have to separate the task from the purpose of the job."
Not a product announcement. Not a benchmark. A statement about the fundamental shift in what human work is for.
Tasks are what you do. Purpose is why it matters.
For most of history, the two were inseparable — you couldn't have one without executing the other. AI just broke that contract. And most enterprise leaders are still staring at the tasks, wondering where the value went.
It went up. To purpose. That's where you need to be.
Intelligence vs. Wisdom
Simon Sinek has been making this argument from the human side for years. But last year, in a conversation with Steven Bartlett, his thesis got sharper — and more urgent.
His argument is simple but cuts deep: AI has no courage. No ambition. No sense of responsibility. It doesn't feel insecure, so it can't grow. It doesn't face failure, so it can't develop wisdom.
Intelligence and wisdom, Sinek argues, are not the same thing. AI can demonstrate one. It has no claim to the other.
He talks about what makes people show up differently — the employee who works late not because they're told to, but because they're imagining their own family in that situation. That empathy. That imagination. That's not something you train into a model. It comes from having lived.
And leadership — real leadership — is the act of going first. Of making the call before the data is clean. Of holding the purpose when the tasks get messy. AI won't do that unless you tell it to. That's the human job.
That's always been the human job.
The Orchestration Layer
What I saw at Adobe Summit was the technology world arriving at exactly this conclusion.
Adobe didn't announce better tools. They announced an Orchestration Layer — a fundamentally different model where AI coordinates the work and humans direct the outcome.
They bring the why.
They bring the customer relationship that took ten years to build. The market instinct that comes from a hundred conversations. The judgment that knows when the brief is technically correct but emotionally wrong. The courage — as Sinek puts it — to go first.
At the same Adobe Summit, AbbVie in a breakout shared how they're transforming digital workflows in a regulated pharma environment — and where they see agentic AI taking them next. The agents handle the workflow. The humans own the outcome.
Setting the objective. Owning the governance. Deciding what 'good' looks like. That's where the human work actually starts.
Three things I've seen work, you can think of this list as a maturity progression:
- Start with coordination tasks. Not "what does AI replace?" but "what tasks exist purely to coordinate other tasks?" Status updates. Handoff emails. Progress reports. Those go first. Good riddance.
- Redefine your output as outcomes. Stop measuring hours, meetings, decks. Ask instead: what changed because you were there? What decision got better? What risk got caught before it landed?
- Get comfortable with ambiguity. AI is excellent when the task is defined. It struggles in the messy, unstructured conversations — where nobody's quite sure what problem we're solving. That's human territory. And it's where the most important work happens.
The Real Evolution
This is what the Outcome Evolution actually means. Not AI replacing human work. AI and humans, finally doing different things — and both doing them better.
The AI brings the intelligence. The human brings the wisdom. The courage. The imagination. The lived experience that no model has, and no model ever will.
That's not a threat to the role. It's the point of it.
So what comes next?
The honest answer is that nobody knows exactly how this lands. The anxiety is real. And there's no single roadmap for how you navigate this personally.
But I do believe this: we are in a remarkable moment in history to stop and ask a question most of us haven't had the space to ask in years.
What is the actual purpose of what I do?
Not the tasks. Not the busyness. Not the calendar full of meetings that make you feel productive but leave you empty.
The purpose.
Busyness is not the same as meaning. Being in demand is not the same as being valuable.
I had coffee with a project manager recently — 60+ hour weeks, constant escalations, back-to-back internal meetings. Genuinely stretched. And when I asked him that same question — what would be left? — he paused and said something I haven't stopped thinking about:
"Honestly? The busyness made me feel secure. Like as long as I was needed for all of this, my role was safe. But maybe that was just noise. Maybe I was hiding in it."
Hiding in busyness. Mistaking urgency for value. Using a packed calendar as proof of purpose.
I think a lot of people are doing exactly that. And AI — whether we like it or not — is about to make that very hard to keep doing.
For many people I've had coffee with recently, shedding the tasks might just be the thing that leads them back to the work they actually got into this for.
That feels like a good place to start.
Sources:
Jensen Huang, Adobe Summit 2026 keynote, April 21, 2026.
Simon Sinek on AI, courage and wisdom: Diary of a CEO with Steven Bartlett — youtu.be/W4tqbEmplug
AbbVie agentic content supply chain case study: Adobe Summit 2026 (public breakout session).