Three days earlier, Challenger, Gray & Christmas reported 97,006 May job cuts, 40% (38,579) explicitly attributed to AI — the third consecutive month in which AI tops all stated reasons, and the highest AI share ever recorded. While Demis Hassabis placed humanity "at the foothills of the singularity" and Geoffrey Hinton warned that "we are building beings, and they will be far more intelligent than us", the European Commission opened a consultation on high-risk AI guidelines (closing June 23), and the U.S. Department of Labor launched "Make America AI-Ready" — an SMS-based literacy program for workers without laptops. The gap between technological acceleration and governance capacity keeps widening week by week.
The signal of the fortnight is not that AI is replacing humans. It is that the four largest U.S. tech companies — Alphabet, Amazon, Microsoft, Meta — have allocated $725B of capex to AI infrastructure in 2026, up 77% year over year, while announcing tens of thousands of layoffs in parallel. The two trajectories are not cause and effect: they are co-financed.
This reframes Section 2's hardest question: how do you regulate a labor-market reconfiguration whose primary driver is capital allocation, not productivity substitution? It also explains why Sam Altman publicly accuses some firms of "AI washing" — rebranding macro-driven decisions as AI-driven ones — even while OpenAI's top user consumes 100B tokens per month.
And governance: the EU AI Act consultation closing June 23 will define the operational meaning of "high-risk", and the U.S. DOL's SMS-based literacy program signals that the policy frontier is now reaching workers without laptops. The next fortnight — bringing the August 2 GPAI applicability date closer — will tell whether the institutional response can keep pace with the trajectory described by Hassabis at the foothills of the singularity, by Hinton at the threshold of beings smarter than us, and by Altman in the era of proactive always-on AI.