I’ve been working with the French bank Societe Generale and its ETF subsidiary, Lyxor, to create a stock market index and ETF focused on companies that will participate in the AI and robotics revolution. Our approach is unique in that it incorporates not just companies creating AI and robotics technology but also those best positioned to benefit from these advances. As a result our index/ETF provides much more diversification than competing approaches.
The ETF (ticker ROAI) started trading on September 18, 2018 on the London Stock Exchange in U.S. dollars and on Xetra and Borsa Italiana in euros.
More information can be found here:
News article from ETF Strategy
Guide to the Rise of the Robots Index (Our proprietary index, which the ETF tracks)
ETF Product Page
Bloomberg Quote — ROAI
I was interviewed for this CBS Sunday Morning story on robots, AI and job automation:
A CNBC interview with me and Oren Etzioni of the Allen Institute for Artificial Intelligence on Bill Gates’s support for a tax on robots:
On July 5, I’ll be participating in a conversation with White House Chief of Staff Denis McDonough and Zipcar co-founder Robin Chase about robots and automation and what they mean for the future. The event will be live-streamed from the White House starting at 1:15 EDT.
Details are available on the White House blog.
Update: A video of the session can be seen here. Topics included potential for AI/robots to create unemployment, basic income as a solution, and even the potential threat of superintelligent AI.
My new op-ed in the Financial Times:
Google’s recent announcement that its DeepMind technology had defeated one of the world’s highest-ranked champions at the ancient game of Go is just one example of the many dramatic advances unfolding in the fields of artificial intelligence and robotics. Machines are rapidly taking on ever more challenging cognitive tasks, encroaching on the fundamental capability that sets humans apart as a species: our ability to make complex decisions, to solve problems — and, most importantly, to learn. DeepMind’s feat was especially remarkable not just because the technology ultimately prevailed, but because the system largely trained itself to do so.
Read the rest at FT.com