Nobel economist on anti-China, anti-science US, AI’s risks
Simon Johnson is a professor of entrepreneurship at the Massachusetts Institute of Technology (MIT). A former chief economist of the International Monetary Fund (IMF), he won a joint Nobel Prize for economics in 2024 for his research into how institutions shape national prosperity. On June 8, the British government announced Johnson as chair of its new AI Economics Institute. In this interview, conducted on the sidelines of the UBS Asian Investment Conference in Hong Kong, Johnson discussed the.
Record details
Published: 24 July 2026
Source: SCMP Tech (HK/CN)
Category: News
Topics: Finance, VC & PE
Retrieved: 25 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Euronext Mulls Setting Up a Private Market to Rival the UK’s
Bloomberg Technology · 24 July 2026
China's largest memory chipmaker sparks fears of a cash drain as it readies for public debut
CNBC Technology · 24 July 2026
Why the divorces of China’s A-share firm owners provoke market nerves
SCMP Tech (HK/CN) · 24 July 2026
Chinese GPU maker confidentially files for Hong Kong IPO amid fundraising wave: sources
SCMP Tech (HK/CN) · 24 July 2026
Nvidia and Palantir urge US not to ban ‘open’ AI models after China scare
Financial Times Technology (headlines) · 24 July 2026
Humanoid Raises $152 Million at $1.35 Billion Post-Money Valuation, Becoming Europe's First Pure-Play Humanoid Robotics Unicorn
ITWeb (ZA) · 23 July 2026
How to cite this record
ethics.ai (24 July 2026), “Nobel economist on anti-China, anti-science US, AI’s risks,” evidence record 13441, https://ethics.ai/record/13441 (originally published by SCMP Tech (HK/CN)).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.