Yes, by about 25% according to a serious look at the hard evidence by some heavy-weight academics (MIT, etc.)
This study evaluates the impact of generative AI on software developer productivity via randomized controlled trials at Microsoft, Accenture, and an anonymous Fortune 100 company. These field experiments, run by the companies as part of their ordinary course of business, provided a random subset of developers with access to an AI-based coding assistant suggesting intelligent code completions. Though each experiment is noisy, when data is combined across three experiments and 4,867 developers, our analysis reveals a 26.08% increase (SE: 10.3%) in completed tasks among developers using the AI tool. Notably, less experienced developers had higher adoption rates and greater productivity gains.
“Intelligent code completions” kind of matches my own experience with how I have found AI most helpful so far – as software help. Whether it is helping with obscure code syntax or complicated nests of drop-down menus and check boxes, AI makes it much faster to find the exact thing you are looking for. This should in theory give workers a bit more time for planning and creative thinking, but predictably the market wants us not to do our jobs better, but to do them barely adequately as fast as possible. And what passes for “barely adequately” erodes over time while “as fast as possible” gets faster. Which I suppose is efficiency on paper.
One question is whether this is more like the automated loom, which sharply reduced the demand for textile workers, or the cotton gin, which sharply increased the demand for (involuntary, brutalized) workers by removing a bottleneck in the process. Early signs seem to point to the former, but all this will take time to play out.