Tech and Finance Lose 28,000 Jobs Per Month in the U.S. in 2026 as Wall Street Stops Disguising AI's Role

The sectors classified by the BLS as financial activities and information have been losing an average of 28,000 jobs per month in 2026 in the United States, according to official data compiled by a Bloomberg report published on Wednesday, July 1st. This is the statistical reading of a pattern that Wall Street CEOs have stopped disguising: banks and big techs are now openly citing artificial intelligence as a factor in workforce contraction, and the American job market remains positive, with an average creation of 113,000 jobs per month through May, because other sectors are filling the gap.

The Public Consensus That Became the Norm

Jamie Dimon of JPMorgan Chase has stated that AI "will eliminate jobs." John Waldron, president of Goldman Sachs, described the bank as "a human assembly line" ripe for automation. Top executives from Citigroup and Barclays have used similar phrasing in the past six months. Together, these four banks employ over 670,000 staff.

What stands out is not the top but the base. Debasish Patnaik, senior partner at QuantumBlack, McKinsey's AI arm, tells Bloomberg that classes of junior analysts are being reduced by up to two-thirds in some institutions. This is the entry-level position in investment banking, the junior front office, historically the largest hiring door for American and European MBAs. It is not a footnote in headcount spreadsheets; it is the succession pipeline.

What the Data Still Doesn't Support

Here comes the uncomfortable reading for those who want to attribute everything to AI. The base of 28,000 per month combines information, where Meta, Microsoft, Salesforce, and Amazon Web Services have made cuts for reasons predating the automation agenda, and financial activities, where rising interest rates had already been slowing hiring before agents attended committee meetings. A study from the Stanford Digital Economy Lab shows that employment has declined more in roles where AI automates tasks than in roles where AI supports human workers. There is a strong correlation, but it still does not isolate the effect.

David Parsons from Mishcon de Reya points out to Bloomberg that the middle office is the most vulnerable in this new wave, because AI targets higher positions in the hierarchy than previous waves. Administrative support occupations, such as customer service, bank tellers, and claims processors, account for about a quarter of employment in financial activities and remain the next natural target. This is the opposite of the pattern seen in the 1990s and 2000s, when cuts began on the factory floor and took time to rise up the hierarchy.

Europe, Asia, Brazil, and the Discrepancy in Discourse

The American adjustment does not linearly replicate in other markets. In a Bloomberg survey published on April 9, European banks stated they expect the rollout of AI to increase headcount, not reduce it, in the next twelve months. This perspective weighs more on the political cost of cuts and less on productivity metrics, going in the opposite direction from what Dimon and Waldron describe in New York. The gap between these two narratives is the variable still missing from this Wednesday's numbers.

In India and the Philippines, the offshore operations centers that American and European banks maintain in Bangalore, Mumbai, Chennai, and Manila are the traditional first destination for agent cuts. The human operation once conducted by thousands of employees now runs in pipelines coordinated by dozens of controllers, which is not just a geographic reprioritization. It is an organizational architecture decision that changes who bears the operational risk in case of failure and which jurisdiction the liability will fall under.

In Brazil, Itaú and Bradesco have entered a similar cycle, with agent projects in customer service and credit announced in their first-quarter disclosures. The public discourse of both remains anchored in redeployment and training, distancing from Waldron's blunt language. This tonal difference reflects more restrictive labor regulation, but the metric that investors have started to demand during second-quarter calls, cost per transaction per FTE, is heading in the same direction as Wall Street's.

The strategic implication for anyone sitting in the CFO chair in consultancy or banking is that the next wave of cuts will not spare the middle office. Unlike in 2001 and 2008, when there was a safe zone in the middle of the pyramid, the 2026 version of adjustments first impacts those who analyze, review contracts, and prepare materials for the credit committee. It is this career path that aspiring partners at the Big Four and sell-side analysts need to recalibrate before the next budget.