"The past three years have felt like thirty in terms of ChatGPT's infiltration into our lives. And if you believe the AI accelerationists, there are few signs of slowing down. As AI models evolve, chatbots will make fewer mistakes, requiring humans to adapt from fixing AI errors to directing AI agents' work. Understanding how to manage AI will be the key skill. And any good manager knows that delegating all of their concrete tasks to direct reports means that their own skills quickly atrophy."
"OpenAI researchers found that frontier models can complete certain tasks roughly a hundred times faster and cheaper than experts. Yes, but: Workers spend an estimated 41% of their time on fact-checking and reworking AI-generated memos, reports and emails, according to research from Stanford Social Media Lab and BetterUp Labs. Between the lines: AI systems are powerful amplifiers for people who already bring expertise to the table, business leaders say."
AI models can accelerate certain expert tasks by roughly a hundredfold in speed and cost while still producing outputs that require substantial human verification. Workers spend about 41% of their time fact-checking and reworking AI-generated memos, reports and emails. Human roles are shifting from correcting AI mistakes to directing AI agents, and excessive delegation can erode managerial skills. AI amplifies the productivity of those with deep domain expertise, while college graduates and early-career workers without deep experience struggle to stand out or secure stable employment. Resilience favors grounded expertise, insatiable curiosity and persistent questioning, and the future of human-agent collaboration remains uncertain.
Read at Axios
Unable to calculate read time
Collection
[
|
...
]