The six biggest banks on Wall Street eliminated 15,000 positions and reported profits of $47 billion. The CEOs ceased their pretenses.

      **TL;DR** In the first quarter of 2026, the six largest U.S. banks reduced 15,000 jobs while reporting $47 billion in profits, with CEOs openly attributing job cuts to AI advancements. JPMorgan, Citi, Goldman Sachs, Bank of America, and Wells Fargo are now sharing detailed AI productivity statistics during earnings calls, marking a significant shift where AI-related workforce reductions went from conjecture to verified financial results.

      The six largest banks in the United States cut 15,000 jobs in Q1 2026 while achieving a total of $47 billion in profits, reflecting an 18 percent increase from the previous year. The bank CEOs have become more straightforward in their assessments. Jamie Dimon remarked that artificial intelligence is a job eliminator and urged people to face reality. Charlie Scharf from Wells Fargo stated that anyone insisting AI won't affect job numbers is either uninformed or dishonest. Goldman Sachs issued an internal memo about impending job cuts and a hiring freeze linked to a program named OneGS 3.0. Citigroup's workforce decreased by 2,000 in just one quarter. Bank of America's Brian Moynihan acknowledged that AI directly contributed to job reductions, even after previously reassuring employees about job security. The cautious tone has vanished, with earnings calls providing solid data to back claims.

      **The Numbers**

      In 2026, JPMorgan Chase plans to invest $19.8 billion in technology, an increase of $2 billion from the year prior. The bank reports a productivity boost of about 6 percent in divisions utilizing AI, double the pre-AI deployment rate. The number of operational roles has decreased by 4 percent, while support roles are down by 2 percent. Positions directly related to client engagement increased by 4 percent. Dimon referred to this shift as significant redeployment. While the overall headcount remained stable at around 318,500, the nature of the jobs is changing, transitioning from processing roles to sales-oriented positions.

      Bank of America's AI assistant, Erica, now equates to a savings of 11,000 full-time jobs. Nearly 90 percent of the bank's 213,000 workers utilize the internal tool, Erica for Employees. Additionally, they have employed AI to eliminate 30 percent of labor in the coding process, estimating a reduction of 2,000 engineering positions. The bank's quarterly profit reached $8.6 billion, outpacing the previous year's figures by $1.6 billion, with part of this increase attributed to job cuts and automation.

      Citigroup is undertaking the most aggressive restructuring within the banking group. The bank anticipates a reduction of about 20,000 positions by the end of 2026, or roughly 8 percent of its global workforce. If the Banamex retail banking unit in Mexico is excluded, the total headcount could decrease by approximately 60,000 to around 180,000. CEO Jane Fraser informed staff that the bank is not evaluated based on effort and highlighted that AI and automation would allow it to manage middle-office functions with fewer personnel. Currently, Citi's AI tools are being utilized by 182,000 employees across 84 countries, with adoption rates surpassing 70 percent.

      Goldman Sachs initiated OneGS 3.0 in late 2025, an AI-based revamp of its operations aimed at various functions including sales, client onboarding, lending, and regulatory reporting. The bank plans annual staffing reductions starting in the second quarter, targeting a decrease of 3 to 5 percent. CEO David Solomon predicts a long-term increase in Goldman’s workforce, but internal memos present a contradictory short-term outlook.

      Wells Fargo has seen its workforce shrink from 275,000 when Scharf took over in 2019 to just over 210,000 by late 2025. AI-powered coding tools have made teams 30 to 35 percent more productive. Scharf stated they haven’t cut the number of coders but are achieving significantly higher output from the existing team. Internal forecasts already account for a smaller workforce in 2026. AI is now creating instant creditworthiness memos and pitchbooks for mergers, tasks that were previously done by mid-level investment bankers earning substantial salaries.

      **The Pattern**

      All five banks show a similar trend: rising profits and declining or reshaped headcounts, with quantifiable gains in AI productivity. After spending two years assuring employees that AI would enhance rather than replace jobs, CEOs are now openly acknowledging that job replacement is indeed occurring. Oracle is also planning to lay off up to 30,000 employees to fund AI data centers, freeing up $8 to $10 billion annually for infrastructure projects. Similarly, banks are investing heavily in AI technology while recouping costs through workforce reductions. However, unlike Oracle, which is building infrastructure, banks are primarily purchasing software that reduces the need for people in existing operations.

      The productivity gains from AI are concentrated in specific areas such as code generation,