On January 23, 2026, the World Economic Forum said its Reskilling Revolution initiative is now on track to reach more than 850 million people and announced that over 25 tech companies will support 120 million workers with AI and digital skills training by 2030. India and Jordan also launched new national skills accelerators as part of the program.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
The Reskilling Revolution update is one of the first large‑scale attempts to quantify how seriously big tech is taking AI‑driven labor disruption. Commitments from companies like Cognizant, Accenture, Cisco, SAP, IBM, Salesforce, HP, Dell and e& to expand AI access and training for 120 million workers by 2030 show that upskilling is moving from CSR talking point to core business strategy.([weforum.org](https://www.weforum.org/press/2026/01/world-economic-forum-reskilling-revolution-on-track-to-reach-over-850-million-people/?utm_source=openai)) Many of these firms sell AI transformation projects; teaching customers how to use AI is now a prerequisite for selling them more of it.
From an AGI‑timeline perspective, human capital is as much a constraint as chips or energy. If frontier models keep improving but organizations can’t re‑architect workflows or train people, adoption will stall. WEF’s accelerator model, with India and Jordan joining a 45‑country network, is effectively building the socio‑technical plumbing for widespread deployment: new curricula, public‑private training pipelines, and pathways into AI‑adjacent jobs. That doesn’t directly accelerate core research, but it does shorten the lag between lab results and real‑world impact, which can in turn justify more investment into ever more capable systems.