FICO Cuts 15% of Workforce in AI Restructuring as Stock Drops 58% YTD
nashnova research
Credit-scoring giant FICO is cutting roughly 15% of its workforce — an estimated 570 jobs — to redirect spending toward AI; the stock has fallen 58% this year, driven mainly by regulators breaking its mortgage-scoring monopoly.
How many jobs, and what does it cost?
FICO is eliminating about 15% of staff. Based on 3,811 employees as of late September 2025, that means roughly 570 people.
The company expects approximately $27 million in pre-tax restructuring charges in fiscal Q4 2026, mostly severance.
The full plan is set to wrap up by fiscal Q3 2027. Affected employees began receiving notices this week.
Why cut now — what does "AI restructuring" actually mean?
FICO says the layoffs are part of a "broader restructuring and AI integration initiative" aimed at "operating faster and bringing innovation to market."
This means → the company is replacing human-performed functions with automation and redirecting the savings into AI technology.
In plain terms = this is not a pure cost cut. It is swapping headcount spending for tech spending — a bet that AI can generate revenue more efficiently than people.
Why is the stock down 58% — where is the real pressure?
FICO shares have fallen roughly 58% year-to-date, but the main driver is not the layoffs — it is regulators dismantling its monopoly.
Last month, the Federal Housing Finance Agency (FHFA) directed Fannie Mae and Freddie Mac to let all lenders use VantageScore — a competing product built jointly by Equifax, Experian, and TransUnion.
FHFA Director Bill Pulte also mandated a uniform pricing grid for VantageScore and FICO scores. This means → the two scoring systems now compete on equal footing, stripping FICO of its "sole standard" pricing power.
How deep is FICO's moat, really?
FICO scores are used by banks, credit-card issuers, mortgage lenders, and auto lenders — the score is core infrastructure of the U.S. consumer-credit system.
In plain terms = when Americans applied for a mortgage, lenders looked at almost nothing else. FICO was not just a product — it was the industry's default unit of measurement.
This reflects the risk the market is actually pricing: whether AI-driven efficiency gains can offset the regulatory erosion of FICO's monopoly — and that remains the key variable ahead.
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