Tag: Artificial Intelligence

Toward Understanding the Impact of Artificial Intelligence on Labor

Morgan R. Frank, David Autor, James E. Bessen, Erik Brynjolfsson, et al.

New research analyzing the barriers that inhibit accurately measuring the effects of AI and automation on the future of work and developing a decision framework that focuses on resilience to unexpected scenarios.

The Business of Artificial Intelligence Startups

James Bessen, Stephen Michael Impink, Lydia Reichensperger, and Robert Seamans

A new survey of AI startups offers insight into AI’s impact on jobs and the economy, including data suggesting a competitive market for startups and the use of AI to enhance rather than replace human labor.

The Policy Challenge of Artificial Intelligence

James Bessen

Across all major sectors of the economy, proprietary information technology is increasing the market dominance of large firms, which is evidence of a slowdown in the spread of technical knowledge throughout the economy. The result is rising industry concentration, slower productivity growth and growing wage inequality. The key challenge to IP and antitrust policy will be counter this trend yet maintain innovation incentives.

AI and the Economy

Robert Seamans and Jason Furman

Is artificial intelligence (AI) having a large effect on the economy?  A variety of statistics—including robotics shipments, AI startups, and patent counts—show a large increase in AI-related activity.  AI and robotics also have the potential to increase productivity growth but may cause labor market upheaval. This paper explores some strategies and policies for dealing with this upheaval.

AI and Jobs: The Role of Demand

James Bessen

Artificial intelligence (AI) technologies will automate many jobs, but the effect on employment is not obvious. Although technology has sharply reduced jobs in manufacturing in recent decades, for over a century before that, employment grew, even in industries experiencing rapid technological change. This paper presents a simple model of the change in demand that accurately predicts the rise and fall of employment in the textile, steel and automotive industries, and will be useful for exploring how AI is likely to affect jobs over the next 10 or 20 years.