Dr. Elena Marchetti is a science historian at the University of California, Berkeley, who has tracked artificial intelligence sector funding cycles since the mid-2020s. In the aftermath of OpenAI’s Chapter 11 bankruptcy filing on 14 March 2031, she provided what became the most widely quoted analysis of the structural failure of the AI scaling hypothesis: “We spent a decade being told that if you just added another zero to the compute budget, something categorically new would show up on the other side. What showed up instead was a much better version of the same thing. Investors can forgive a company for being wrong. It’s much harder to forgive a company for being right on schedule about something that stops mattering.”
In 2033, she published the definitive historical monograph on the sector’s collapse: The Deflation: A Retrospective on the 2029–2032 AI Sector Contraction (Berkeley Science History Press). The book is cited as background context in Fennimore et al. (2045), which notes that the post-correction retreat of the scaling paradigm “created unusual conditions: a multi-year window in which biologically-motivated, non-scaling-paradigm research could proceed on inexpensive, under-utilized compute, largely outside commercial pressure.”