The author admits that writing this piece feels like digging their own grave, as AI systems improve by leaps and bounds. From the early 2022 release of ChatGPT, which could not correctly count the letters in the author's name, AI has advanced to the point where an internal OpenAI model solved many hundreds of previously open math problems. Arguments that human thought is superior, based on hallucinations or bias, increasingly look like a rearguard defence.
The author sees three factors driving AI's dominance in the modern workplace: better performance, lower cost, and higher availability. AI performance is rising on perception, knowledge processing, reasoning, judgement, and autonomous action, while human proficiency in key information-processing skills is declining, even among students. AI's cost is also falling, with newer models offering superior performance at lower prices. Because AI systems can operate around the clock, they can also ease labour shortages caused by demographic trends or skills gaps. Trillions of dollars in projected data centre investment through 2030 will add vast processing capacity.
Resistance from knowledge workers is expected to be fiercer than in past technological revolutions, since AI challenges their expertise, control over information, and decision-making authority. Governments may try to restrain AI through regulation and taxation, but the author doubts such measures will work.
The author predicts that cognitive work will diminish and thought will become a leisure pursuit, much as hunting, calligraphy, woodworking, and horse riding did after major technological shifts. The transition will be demanding, so people must keep pace with AI, stay flexible and resilient, and build meaningful lives beyond work, moving from making a living by thinking to making thinking part of a life worth living.
Source: Hacker News · Summarized by HeadlinesBriefing