Seven ways to avoid losing your job to AI
The article discusses strategies to mitigate the risk of job loss due to AI advancements. It emphasizes the importance of running experiments and gathering data as key principles for staying relevant in the workforce. By engaging in these activities, individuals can create new job opportunities that AI cannot easily replicate.
- ▪Running experiments can lead to new ideas and hypotheses that AI cannot generate alone.
- ▪There will be a growing demand for data gathering in various fields, including environmental and public health data.
- ▪Most existing data has not yet been utilized in AI models, presenting new job opportunities.
Opening excerpt (first ~120 words) tap to expand
Seven ways to avoid losing your job to AI by Tyler Cowen May 27, 2026 at 1:54 am in Economics Science Web/Tech That is the theme of my latest Free Press column, here is one excerpt: Principle five: Run experiments. This is a more general version of the healthcare point. AI will generate so many new ideas and hypotheses, including for drugs and medical devices, but not only. Become a tester. Test new battery designs, new educational techniques, or new methods of conserving valued wildlife. The demand for experiments will rise sharply, and most of those cannot be done by robots, at least not anytime soon. Principle six: Gather data. AI is a marvelous tool, but it relies on knowing lots about the world.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Marginal Revolution.
Discussion
0 commentsMore from Marginal Revolution
