There are a lot of these “how to beat the AI cookie monster” posts out there right now, but this one by Benjamin Todd is well-researched and articulated, with lots of practical examples on how to do the one thing that we all need to do anyway: keep learning.
I break this down into four key categories of skills likely to increase in value:
- Hard for AI: data poor, messy, long-horizon tasks where a person-in-the-loop is wanted
- Needed for deploying AI: the skills of organising and auditing AI systems, as well as those used in complementary industries such as data centre construction
- Used to make things the world could use far more of: skills that contribute to improved healthcare, housing, research, luxury goods, etc. – things which people want more of as they get better and cheaper
- Hard for others to learn: rare expertise that matches your unique strengths
Source: How not to lose your job to AI →