Mustafa Suleyman, Microsoft’s AI chief, tells the Financial Times that within the next 18 months “human‑level performance on most professional tasks” will be automated in accounting, legal, marketing and even project management.
Essentially rendering today’s MBA and JD graduates obsolete.
He points to exploding compute power and a drive toward proprietary “superintelligence” models as proof that any job that involves “sitting at a computer” will soon be done by AI.
The data, however, tells a different story.
A 2025 Thomson Reuters survey shows lawyers and accountants are only using AI for narrow tasks like document review, with productivity gains modest at best; a non-profit study even found developers taking 20 % longer when assisted by current tools.
Profit spikes remain confined to Big‑Tech firms.
Big Tech margins rose >20 % in Q4 2025 while the broader S&P 500 saw virtually no lift.
This suggests AI’s economic impact is still limited outside the tech enclave.
Meanwhile, organizations are battling “AI change fatigue,” constrained budgets, and low end‑user adoption rates.
Microsoft’s own layoffs of 15,000 staff and Satya Nadella’s memo to “reimagine our mission” underscore that even the AI champion itself is grappling with execution gaps.
The market reaction—dubbed the “SaaSpocalypse” shows investors are nervous about speculative hype far faster than they trust proven ROI.
For CEOs, CIOs, CDOs and CAIOs this means tempering bold timelines with a realistic assessment of readiness: pilot AI where it solves concrete pain points, invest in change management scaffolding, and demand measurable productivity before committing to enterprise‑wide rollouts.
Is your organization preparing for an 18‑month disruption, or building the capabilities to actually capture value from today’s AI tools?
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