Blackstone's Jon Gray: AI's full impact is hard to see yet

Gray's framing leans on a specific historical parallel rather than a forecast. In his telling, September 1870 was still a rural, wooden, horse-drawn world lit by candlelight. By 1900, cities had expanded, steel had changed the built environment, railroads connected people and markets, automobiles were appearing, and electric light had altered how people lived and worked. The lesson he draws is not that AI will follow the same path, but that living through the early stage of a technological shift makes the end state hard to perceive.

That argument sits against the tone of much current AI discussion, which Gray characterizes as focused on the technology in front of us: model performance, adoption curves, capital spending, company valuations, and whether the current investment cycle is a bubble. The body also notes that the debate includes doomsayers warning AI could destroy humanity within a decade, alongside students and workers worried about losing jobs, including new graduates trying to take a first step on the career ladder.

Gray's own question is organizational rather than technological. If intelligence becomes a rapidly abundant and cheap business resource, he asks, are organizations preparing for what follows? Organizational design and work have been built on a foundation of scarcity, which suggests companies constructed around that assumption may face pressure to redefine themselves.