Finance Shed 28,000 Jobs a Month Through May

Bloomberg's July 1 payroll analysis is the first government-data proof that AI is eating jobs where adoption is fastest — financial-activities and information-sector payrolls fell by an average of 28,000 positions per month through May while the rest of the economy still added more than 113,000.

What's new: On July 1, Bloomberg analyzed Bureau of Labor Statistics payroll data and found the two sectors with the highest AI adoption rates are now losing jobs at a sustained clip.

• Financial activities and information payrolls declined by an average of 28,000 jobs per month in 2026 through May.
• The broader economy added more than 113,000 jobs monthly over the same stretch — a number Bloomberg said would have been higher without banking and tech dragging the total down.
• On July 2, the BLS reported just 57,000 June payroll gains — half what economists expected — with April and May revised down by 74,000 combined.

The adoption map: The losses cluster where firms actually deployed AI.

• The Census Bureau's Business Trends and Outlook Survey puts AI use at 39.7% in information and 33.9% in finance and insurance as of May 3 — versus 19.8% nationally.
• Office and administrative support roles — tellers, claims processors, customer service — account for roughly a quarter of financial-activities employment, the largest share in any major industry, per BLS data cited by Bloomberg.
• The BLS projects those occupations will see some of the largest employment declines over the next decade, in part because of AI.

The layoff ledger: Companies are now saying the quiet part out loud.

• Outplacement firm Challenger, Gray & Christmas tracked 101,743 AI-attributed job cuts through June — 23% of all announced layoffs this year.
• Technology alone announced 139,156 cuts in 2026, up 83% from the same period in 2025 and nearly a third of all job cuts nationwide.
• AI has led the stated reason for layoffs for four consecutive months.

The quote: John Challenger, CEO of Challenger, Gray & Christmas, told Bloomberg the impact is already here.

"It's certainly making an impact as we speak in a way that no technology has before."

He added: "Finance might be the next big sector that's most affected."

Andy Challenger, the firm's chief revenue officer, put it sharper in the June report:

"Tech remains the epicenter of this year's cuts. AI is the dominant force as companies are restructuring around it, automating roles, and reallocating budgets toward new capabilities. The sector is being reshaped in real time."

The human cost: Payroll math is already personal.

• Software engineer Bill Matonte told Bloomberg he was laid off from Citigroup in April and has interviewed for months without an offer — after landing his prior JPMorgan role in just six weeks in 2025.
• "It's really stressful," he said.
• California Policy Lab data show finance and insurance had the highest concentration of unemployment claims from workers in highly AI-exposed occupations — even before statewide claims show a broad spike.

The counterargument: Not every economist sees AI in the headline number yet.

• Ryan Nunn, research director at the Yale Budget Lab, told Bloomberg layoff data for financial activities showed no unusual increase in 2026 — suggesting AI may be hitting through slower hiring and attrition first.
• Yale's own JOLTS analysis cautions the information-sector layoff spike could reflect post-pandemic overhiring, not just automation.
• A Stanford Digital Economy Lab study cited by Bloomberg found employment weakens where AI automates tasks but holds up where it augments workers.

Why markets should care: This is the payroll channel behind Fitch's tax warning.

• On July 1, Fitch Ratings flagged AI-driven labor displacement as a sovereign credit risk — warning efficiency gains may erode tax bases in developed economies.
• Washington is debating a 5% OpenAI equity donation and a 50% Sanders seizure while payroll taxes fund the government AI is thinning out.
• Pooja Sriram, senior U.S. economist at Barclays, told Bloomberg some cuts look like genuine productivity replacement — but much of it is cost-cutting after massive AI capex commitments.

Convina's view: The debate over whether AI kills jobs is over in the sectors that adopted it first. Bloomberg just printed the receipt — 28,000 a month — and the June miss shows the drag is big enough to bend the national number. Washington is negotiating equity stakes while payroll taxes leak. Fitch priced the fiscal risk. Wall Street is still pricing the GPU buildout. Somebody is wrong.