Morgan Stanley is planning to remove about 2,500 positions, representing roughly 3% of its total headcount, industry sources told the Wall Street Journal. The company will carry out the cuts across its three major business divisions and will implement reductions both in the United States and in other countries.
The announced reductions come amid a broader pattern of job cuts across large U.S. firms. Some observers have tied parts of this recent wave to productivity and efficiency improvements driven by artificial intelligence.
Two prominent examples of recent large-scale workforce reductions include Block Inc, which reduced its payroll by 40% in late February, and Amazon.com Inc, which disclosed the elimination of 16,000 roles in January. These moves have been cited alongside Morgan Stanley’s planned reductions as part of a wider corporate retrenchment in recent months.
Beyond the immediate headcount totals, the firm will spread the workforce adjustments across its core operating areas, signaling an enterprise-wide effort rather than cuts focused on a single department. The company has indicated the reductions will be international in scope as well as occurring within the U.S.
In parallel to reporting on workforce moves, some market-facing services referenced in coverage highlight machine-driven analytics used to evaluate stocks. One such service notes it evaluates Morgan Stanley along with thousands of other companies each month using more than 100 financial metrics. That service describes its process as AI-driven and says it seeks to identify stocks that offer attractive risk-reward profiles based on current data, citing prior winners that include Super Micro Computer (+185%) and AppLovin (+157%).
What we know:
- The reduction totals about 2,500 employees, or roughly 3% of Morgan Stanley’s workforce.
- Job cuts will occur across the bank’s three main divisions and will be implemented in both the U.S. and abroad.
- The announcement aligns with a series of recent layoffs at major U.S. firms, some of which have been attributed in coverage to efficiency gains from artificial intelligence.
Information available in reporting provides the figures and scope above; further details on timing, the specific roles affected, or other workforce actions were not included in those reports.