Nick Beim

Thoughts on the Economics of Innovation

Collaborative Intelligence

Much of the early public discussion about AI focused on what AI could do better than humans and where it would replace human labor. The same thing happened with the emergence of computers in the 1960’s, personal computers in the 1970’s and the internet in the 1990’s. This line of thinking is perhaps a natural human response to new technologies perceived as a threat and certainly helped media companies sell controversial stories, but it missed the far more important point that the big breakthroughs in productivity and intelligence would come from human-AI, human-internet and human-computer teaming.

In this podcast discussion with Gautam Mukunda and Shawn Bice, we had a chance to dig into what the collaborative human-AI intelligence of the future would look like, how AI will change human decision-making and how it will impact employment, science and technology innovation. You can listen to the discussion here.

Maintaining U.S. Leadership in Science and Technology

One of the most interesting things I’ve worked on this past year is a project at the Council on Foreign Relations examining the risk and consequences of the U.S. losing part of its science and technology leadership, principally to China.

We had a phenomenal group of people working on our Task Force from the technology, government and academic communities, including Admiral William McRaven, James Manyika, Reid Hoffman, DJ Patil, Eric Schmidt, Raj Shah, Doug Beck and Regina Dugan.

Today our final report was published – you can download it here. For a 2-minute overview, here’s an article I wrote with Congressman Jim Himes that highlights the report’s major ideas and recommendations.