McKinsey’s AI Money Machine (Rewired)
McKinsey is overhauling how it makes money as AI reshapes consulting. Roughly a quarter of its global fees now come from outcome or performance based pricing, where payment depends on measurable results rather than hours worked.
Instead of selling “projects,” McKinsey is increasingly selling outcomes. Clients now define the result they want (revenue growth, cost reduction, customer metrics) and fees depend on delivering it. Traditional billable hours are fading fast as AI compresses analysis time. This is pushing the firm toward multi-year transformation partnerships with shared upside (and risk). Their classic strategy work has shrunk to less than 20% of activity, replaced by deep implementation across data, tech, and workforce change.
This isn’t a pricing tweak, it is a broader category shift. AI makes consulting outputs measurable, trackable, and automatable, eroding the logic of time-based billing.
The industry is drifting toward “consulting-as-a-product”: ongoing, data-instrumented transformation powered by AI systems, not slide decks. Consulting is converging with software economics - think SaaS, or CaaS
WHY IT MATTERS
The psychological contract just flipped. Consultants are no longer paid for advice they are paid for behaviour change that sticks.
Outcome-based pricing demands measurable adoption, sustained usage, and real-world impact.
That puts behavioural science at the centre: nudging employee behaviour, shaping incentives, and embedding habits becomes revenue-critical. If transformation fails, the consultant doesn’t get paid. Expect to see more experimentation, tighter measurement, and obsession with the user-level behaviour that drives adoption and value.
WHAT TO WATCH FOR
→ Surge in outcome-linked contracts across consulting and adjacent industries
→ Growth of embedded AI + behavioural telemetry
→ Rise of mixed teams, including behavioural scientists
→ Shift from one-off projects to longer term partnerships
→ New metrics: adoption rates, workflow compliance
LIMITATIONS
The articles lean heavily on McKinsey’s own framing, so are positively biased.
There is little detail on failed engagements, downside risk, or how disputes over “outcomes” get resolved. They underplay organisational friction: measuring behaviour change at scale is notoriously messy.
And it doesn’t fully confront the risk transfer. Clients may like shared upside, but shared ambiguity can be brutal.
SOURCES
https://www.businessinsider.com/ai-reshapes-how-mckinsey-makes-money-consultancy-025-11
https://letsdatascience.com/news/mckinsey-reconfigures-pricing-model-under-ai-pressure-a057537a
BESCI AI OPINION
This isn't new news. but it is a chance to pause and think through the implications of the future of consulting.
Will the firms establish themselves as true partners, and can that sustain their revenue (even if it doesn't sustain the large number of consultants)?
Will they move to a Consulting as a Service model, selling AI driven solutions that build your strategy for you and adapt it in real time - if they don't someone else (or ex Big4) will.
Will their focus on adoption be the thing that really makes a difference and shifts the field of transformation for good? Will they invest in the behavioural skills they need?
The shift to outcome, performance or value at risk is not new, it has been used to 'hook' clients with a pitch that they are sharing the risk for over a decade.
What isn't said though is how many of these 'deals' end in divorce, never to be spoken about again. The outcomes are not happening in a controllable, predictable environment, a lot of things can work for, or against them.
This will be an interesting re-invention to watch.
