In public-sector consulting, the dominant pricing model is time and materials. Senior strategist: $X/hour. Research analyst: $Y/hour. Multiply by hours. Submit invoice. Repeat.

That model was built for a world where thinking, testing, and predicting took human time. That world is ending.

A single inference run can now answer a question that used to take a research team a week: How will this audience respond if we shift the message from X to Y? What if we target geography A instead of B? Which channel mix maximizes the outcome? The marginal cost of asking is measured in cents. The marginal cost of asking one more time is measured in fractions of a cent.

So here's the uncomfortable question for everyone billing public dollars: if the work takes a fraction of the time, why are the invoices the same?

This isn't a call to replace humans. It's the opposite. The same strategists, the same analysts, the same creative directors — they're still asking the questions, interpreting the results, and defending the recommendations. But they should be doing dramatically more of that work per hour. More iterations. More scenarios tested. More options weighed before public money gets committed.

That is what responsible stewardship of public funds looks like in 2026.

At AlphaVu, we've built this directly into the platform. Our newly-upgraded Ask Your Community (AYC) capability lets users experiment with messages, channels, targeting, and strategy and see predicted audience responses in real time. The kind of testing that used to fill a six-week research engagement now runs in seconds.

We've gone further: we run inference on owned hardware. That means total data privacy and security for our public-sector clients, marginal costs that approach zero, and the ability to iterate, experiment, and pressure-test decisions before a single dollar gets spent or a single campaign goes live.

The structural advantage goes to the firms — and the agencies — that embrace this. The structural disadvantage goes to the ones that don't.

Public dollars deserve more work per hour, not the same work at the same price. Procurement officers should be asking how their consultants are using AI to drive efficiency. Consultants should be asking how to deliver more outcomes inside the hours they bill.

The billable hour didn't disappear. But what fits inside it just got a lot bigger.