Fears that artificial intelligence (AI) is already triggering widespread white collar job losses appear overstated when viewed through the lens of employment trends in AI exposed industries. While employment in computer systems design has softened since late 2022, data suggests this slowdown aligns more closely with post pandemic excesses than with the launch of generative AI. “Over-hiring, not AI, has likely been the bigger driver of much of the weakness in tech employment over the past few years,” says Garrett Melson, CFA, Portfolio Strategist at Natixis Investment Managers Solutions.
Employment In AI Exposed Industries (1/31/15 - 6/30/25)
- Employment trends diverge across AI exposed industries, underscoring that AI’s labor impact is uneven rather than universally disruptive.
- The sharp rise and subsequent cooling in tech employment mirrors the post COVID hiring surge and normalization cycle.
- Historically, productivity enhancing technologies tend to reshape labor demand over time rather than cause immediate, broad based job destruction.
This material is provided for informational purposes only and should not be construed as investment advice. The views and opinions contained herein reflect the subjective judgments and assumptions of the authors only and do not necessarily reflect the views of Natixis Investment Managers, or any of its affiliates. The views and opinions expressed may change based on market and other conditions. There can be no assurance that developments will transpire as forecasted, and actual results may vary.
All investing involves risk, including the risk of loss. Investment risk exists with equity, fixed income, and alternative investments. There is no assurance that any investment will meet its performance objectives or that losses will be avoided. Investors should fully understand the risks associated with any investment prior to investing.