The Window to Build AI-Native Processes Is Closing Faster Than Most Firms Think
Entry-level consulting and finance jobs are disappearing now. The firms building AI-native processes today are creating a structural cost advantage that will be very hard to close.
In every discovery call we run, the position we hear most often is some version of: "We are watching the space — we will move when things are clearer." It is a rational instinct. It is also a costly one.
The enterprise AI market moved faster in the first five months of this year than most observers had modelled for the full year. What was a fragmented competitive landscape in late 2025 consolidated quickly around a clear platform leader. The firms that moved early built processes on top of that platform. The firms that waited are now trying to catch up on infrastructure their competitors already have in production.
The same pattern is visible in how firms are staffing. Entry-level roles in consulting, finance, and legal — the analyst, the junior associate, the first-year consultant — are not scheduled to disappear. They are disappearing now. Firms building AI-native delivery workflows are running with senior talent doing senior work. Firms that have not built those workflows are still carrying cost structures their competitors no longer have.
By credible estimates tracking autonomous task performance curves, we are somewhere between twelve and eighteen months from AI agents handling a full working day of complex knowledge work at production quality. That is not a distant prediction. It is a planning horizon.
The firms that will lead this market in two years are the ones doing the audit today — not to replace their teams, but to understand precisely where AI changes the economics of their work and to build accordingly. The ones waiting for a clearer moment are effectively choosing to let that lead be built by someone else.
Start with an audit — we map where AI changes the economics of your firm and what that means for how you staff and deliver work.
Book a call →Why should we prioritise AI adoption now rather than wait for the technology to mature?
Because the firms that moved in 2024 and 2025 already have operating AI processes — they are not waiting. Entry-level analyst and research roles in consulting and finance are already being replaced, not because firms want to cut headcount, but because the economics no longer support the old model. The technology is mature enough for production use. The risk now is not moving too early — it is moving too late to build a process advantage before competitors close the gap.