About half of people are worried they'll lose their job to AI. And they're right to be concerned: AI can now complete real-world coding tasks on GitHub, generate photorealistic video, drive a taxi more safely than humans, and do accurate medical diagnosis. And over the next five years, it's set to continue to improve rapidly. Eventually, mass automation and falling wages are a real possibility.

Narrated by AI.

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Outline:

(01:12) Skills most likely to increase in value as AI progresses

(04:29) 1. Why automation often doesnt decrease wages

(09:30) What would full automation mean for wages?

(12:03) 2. Four types of skills most likely to increase in value

(13:34) 2.1. Skills AI wont easily be able to perform

(13:58) Tasks not in AI training data (& hard to gather)

(16:17) Messy, long-horizon skills

(19:19) Skills where a person-in-the-loop is wanted

(20:40) Skills where automation is bottlenecked by physical infrastructure

(21:33) 2.2. Skills that are needed for AI deployment

(24:58) 2.3. Skills where we could use far more of what they produce

(26:23) 2.4. Skills that are difficult for others to learn

(27:30) 3. So, which specific work skills will most increase in value in the future? And how can you learn them?

(27:53) 3.1. Skills using AI to solve real problems

(29:16) 3.2. Personal effectiveness

(29:22) Being a generally productive, proactive person

(30:08) Social skills

(31:06) Learning how to learn

(31:54) 3.3. Leadership skills

(32:22) Entrepreneurship

(33:15) Management

(34:20) Strategy, prioritisation, and decision making

(35:46) True expertise

(37:03) 3.4. Communications and taste

(38:06) 3.5. Getting things done in government

(39:07) 3.6. Complex physical skills

(39:44) 4. Skills with a more uncertain future

(40:07) 4.1. Routine knowledge work: writing, admin, analysis, advice

(44:30) 4.2. Coding, maths, data science, and applied STEM

(46:46) 4.3. Visual creation

(47:25) 4.4. More predictable manual jobs

(48:11) 5. Some closing thoughts on career strategy

(48:21) 5.1. Look for ways to leapfrog entry-level white collar jobs

(50:15) 5.2. Be cautious about starting long training periods, like PhDs and medicine

(51:31) 5.3. Make yourself more resilient to change

(52:00) 5.4. Ride the wave

(52:23) Take action

The original text contained 9 footnotes which were omitted from this narration.

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First published:

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Narrated by TYPE III AUDIO.

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