AI race pivots to governance
The US still leads global AI readiness while Asia now supplies half of the top-ten players, but the debate has shifted from model scale to governing increasingly autonomous 'agents' — a change China is actively wrestling with and experts warn that 'govern-later' policies will fail reported argued. Europe could capture up to €1.4 trillion from generative AI over the next decade, yet widespread adoption is still hampered by regulatory and societal hesitation reported.
The Global AI Brain Race Report [2026 ranked]essayhumanizer.io the United States top and assigned it an overall score of 82/100, while the study’s top‑10 list places five Asian economies — led in coverage by China, Singapore and India — inside that elite cohort. Analysts are shifting from scale to control as autonomy hits production: [Gartner predicted]gartner.com that over 40% of agentic‑AI projects will be cancelled by the end of 2027 because of rising costs, unclear ROI and weak risk controls, and enterprise surveys show high AI use but low operational visibility. cyera.com China’s March 2026 Two Sessions featured tech chiefs such as Lei Jun and He Xiaopeng pressing for faster AI and robotics deployment even as legislators debate new governance frameworks, according to the South China Morning [Post coverage]scmp.com, and [Nature reported]nature.com Beijing’s wider push to influence international AI regulation. Europe’s generative‑AI prize is quantified at up to €1.4 trillion over the next decade in an Ipsos study commissioned by Google, which also found only ~20% of EU firms used AI in 2025 and adoption concentrated in ICT (62%) versus manufacturing (17%); the EU has since rolled out GenAI4EU funding and private investments — including Google’s announced €5.5bn Germany plan — to close that gap. ipsos.com
