Everyone talking about AI in government is watching the citizen. Almost no one is watching the people on the other side of the counter.
Picture a contact center inside a ministry somewhere in the Gulf. Noura, an agent, used to handle sixty calls a day, most of them the same three questions. This morning, a bot handled all but four. They were the ones nothing scripted could solve. Her supervisor, who spent a decade as the fastest queue-clearer on the floor, stood behind her and realized the skill that made him great had just been made obsolete.
That small scene is the whole transformation.
When AI takes the routine, the agent’s job does not get easier. It gets more critical — and it changes in two ways at once.
The first is emotional. The calls that reach a human now are the ones a script cannot hold. BCG found that only 28% of organizations have automated beyond the simple cases — because the moment a situation carries real complexity, the script breaks. That agent is no longer processing volume — they are doing the most human part of the entire operation. AI does not remove it. It concentrates the agent’s day into it.
The second change is authority. Handing someone the hardest cases while making them ask permission for every decision is a recipe for burnout. The real shift is that decisions move down. The machine carries the context. The human carries the judgment. Give an agent both the hard cases and the authority to close them, and the job stops being a queue to survive and becomes work worth staying for.
The supervisor is the harder shift.
For years, the supervisor was a super-agent — the one who jumps in, firefights, clears the backlog. When AI clears the backlog, that role is gone. What replaces it is bigger. The supervisor stops managing volume and starts managing judgment. They read the patterns AI surfaces. They coach. They upskill. They feed what they see back to the people redesigning the process. They stop being the best operator in the room and become the leader of it.
Now the part we do not like to say out loud.
AI is not replacing the job — it is transforming how people work. But the ones who get left behind will not be the agents who feared the change. It will be the leaders who refused to enable them. Buy the technology, skip the training, and you do not get transformation — you get expensive software and a frustrated team working around it. Meanwhile the institutions that brought their people along move faster every quarter, until the gap is no longer a gap. It is a different league.
This is why training is the whole game, not a footnote. You have handed your people a car with enormous horsepower. If we do not teach them to drive it, they crash — and they blame the car.
The citizen has already changed. The only open question is whether the people inside change with them.
That choice is not made by the technology. It is made by the leaders who decide to enable and empower their people.
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