The Indicator from Planet Money

BLS forecasts get the future mostly right—within limits

Which jobs are future-proofed?

Career decisions increasingly depend on long-range projections, but the data’s usefulness depends on how much it can see beyond current trends.

3 key takeaways
  1. 1The Bureau of Labor Statistics combines demographic, industry, and emerging-technology trends to project occupational growth.
  2. 2Historical forecasts correctly identified whether occupational groups would grow or shrink nearly 70% of the time.
  3. 3The Occupational Outlook Handbook adds only modest predictive value beyond extending existing employment trends.

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Maxim Massenkoff’s historical test finds that BLS forecasts correctly predicted occupational growth or decline nearly 70% of the time, while adding only modest value beyond trend extrapolation.

The brief

For workers, students, and career changers, the Occupational Outlook Handbook promises a map through economic uncertainty. The episode asks how much that map can really reveal about the future.

Asa Hess-Matsumoto, an application security engineer, uses Bureau of Labor Statistics data to advise people on careers. Their questions turn a familiar reference tool into a testable forecast.

A BLS economist explains how projections combine population and industry trends with research on emerging developments such as artificial intelligence, then classify occupations as rising or declining.

Maxim Massenkoff traces the handbook to its post–World War II creation and tests decades of predictions against what actually happened to employment.

The forecasts correctly called growth or decline nearly 70% of the time, but their extra value beyond simply extending existing trends was modest.

That tension is the episode’s takeaway: long-range job forecasts can be useful directional signals without offering a crystal ball for technological change.

Listen to the full episode and explore every guest, topic, and moment on PodLume.

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BLS forecasts get the future mostly right—within limits | PodLume