For the last several months, I have been part of a team of social scientists working with Boston Consulting Group, turning their offices into the largest pre-registered experiment on the future of professional work in our AI-haunted age. For 18 different tasks selected to be realistic samples of the kinds of work done at an elite consulting company, consultants using ChatGPT-4 outperformed those who did not, by a lot. On every dimension. Every way we measured performance. Consultants using AI finished 12.2% more tasks on average, completed tasks 25.1% more quickly, and produced 40% higher quality results than those without. [AI] works as a skill leveler. The consultants who scored the worst when we assessed them at the start of the experiment had the biggest jump in their performance, 43% when they got to use AI. The top consultants still got a boost, but less of one.
- Date Posted:
- September 15, 2023
Recent studies from the US, Sweden, and Finland all demonstrate that although most people who move directly into new unsubsidised housing may come from the top half of earners, the chain of moves triggered by their purchase frees up housing in the same cities for people on lower incomes. The US study found that building 100 new market-rate dwellings ultimately leads to up to 70 people moving out of below-median income neighbourhoods, and up to 40 moving out of the poorest fifth. Those numbers don’t budge even if the new housing is priced towards the top end of the market. It’s a similar story in the American Midwest, where Minneapolis has been building more housing than any other large city in the region for years, and has abolished zones that limited construction to single-family housing. Adjusted for local earnings, average rents in the city are down more than 20% since 2017, while rising in the five other similarly large and growing cities.