AI: Lead, risk, and regulation
A new Global AI readiness report still ranks the U.S. first while Asia takes half of the top ten — signalling a shifting, multipolar tech race reported. At the same time AI‑enabled fraud rose 9.2% last year and experts warn lawmakers keep making five major mistakes in AI regulation — gaps that could amplify financial and market risks unless policy catches up reported — argued. China’s central bank is already promoting “safe and orderly” AI use in finance, showing regulators are trying to balance innovation and systemic risk reported.
EssayHumanizer’s Global AI Brain Race Report 2026 assigned the U.S. an overall score of 82/100 while listing China (59) and Singapore (37) among the next highest scorers and placing India at 32 and South Korea at 35 in its country-by-country table [essayhumanizer.io]. Nasdaq Verafin’s 2026 Global Financial Crime Report estimates $579.4 billion was lost to bank fraud and scams in 2025 (a $53.3 billion rise from 2023), with $62 billion tied to scam losses and $14.3 billion attributed to technology‑assisted or AI‑enabled schemes. [verafin.com] Forbes columnist Lance Eliot published a March 13, 2026 column that catalogs five recurring drafting blunders lawmakers make when writing AI rules, arguing those errors often yield laws that are vague or unenforceable [forbes.com]; that critique sits alongside reporting that the U.S. has seen an intensifying federal‑vs‑state regulatory showdown, with states passing varied AI measures since 2024–25. [techcrunch.com] At its March 11, 2026 Technology Work Conference the People’s Bank of China urged the financial sector to advance AI “actively and prudently” and to strengthen cybersecurity and data resilience as it rolls out AI plans tied to the 15th Five‑Year horizon, language tracked by RegulationAsia and the South China Morning Post. [regulationasia.com]
