Generative Al at Work
The emergence of generative artificial intelligence (Al) has attracted significant attention, but there have been few studies of its economic impact. This is, to our knowledge, the first study of the impact of generative Al when deployed at scale in the workplace.
What Can Machines Learn? And What Does It Mean for Occupations and the Economy?
We find that (i) ML affects different occupations than earlier automation waves; (ii) most occupations include at least some SML tasks; (i) few occupations are fully automatable using ML; and (iv) realizing the potential of ML usually requires redesign of job task content.
The Great Augmentation
“Rarely do humans or machines alone excel as much as combinations of humans and machines together,” [Erik] Brynjolfsson says.
In Reversal Because of A.I., Office Jobs Are Now More at Risk
"We’re not going to run out of things for humans to do anytime soon," Mr. [Erik] Brynjolfsson said. "But the things are different: learning how to ask the right questions, really interacting with people, physical work requiring dexterity."
Preparing for generative AI’s impact on productivity may include rethinking performance management (HR Brew)
“[Generative AI is] digitally capturing some of that expertise that [senior employees] were previously using for that one customer, and now other customers are going to benefit from it. Even ones that never talked to that high performer,” said Erik Brynjolfsson, senior fellow at the Stanford Institute for Human-Centered AI and one of the authors of the study.
How to Make AI Work for You, at Work (Time)
“AI is not just about automating jobs and replacing people,” says Erik Brynjolfsson, senior fellow at the Stanford Institute for Human-Centered AI. "By far the biggest benefits are having AI work with humans and help them be more productive."
AI Could Be Just the Productivity Boost the Economy Needs (Barron's)
"The new technologies can accelerate innovation by making research and the development of new ideas more efficient, boosting not just the level, but the rate of increase in productivity growth."
Your job is (probably) safe from artificial intelligence (The Economist)
"A paper by Erik Brynjolfsson of Stanford University and colleagues examines customer-support agents. Access to an ai tool raises the number of issues resolved each hour by 14% on average."
Businesses Take a Hurry-Up-and-Wait Approach to AI (The Wall Street Journal)
"In the race to adopt AI, Mr. Brynjolfsson said companies in data-rich markets, like the financial sector, have an advantage over those in industries like construction, which lack the kind of data needed to train algorithms in a way that provides business insights."
This company adopted AI. Here's what happened to its human workers (NPR)
“And what [Generative AI] did was it took people with just two months of experience and had them performing at the level of people with six months of experience." - Erik Brynjolfsson
The Optimist’s Guide to Artificial Intelligence and Work (The New York Times)
“The other thing that I wish people would do more of is think about what new things could be done now that was never done before. Obviously that’s a much harder question. It is also where most of the value is.” - Erik Brynjolfsson
Webinars and Podcasts
The Impact of Generative AI on Workforce Productivity
On September 12, 2023, Cohere presented a webinar with Workhelix Co-Founders Erik Brynjolfsson and Andy McAfee about the impact of Generative AI on workforce productivity.
The Roadmap for Transforming Your Business with Generative AI
In this webinar held on July 28, 2023, AI pioneer Andrew Ng and leading economics researchers Erik Brynjolfsson, and Andy McAfee of Workhelix demystify the process of leveraging Generative AI for your organization.
Book a Demo
Book a demo to kick off your firm’s assessment using Workhelix’s Generative AI Exposure Dashboard.