To best understand generative AI (GenAI), look at it through bifocal lenses. Through the top lens, one sees the long view of big, looming issues, such as accuracy, privacy, and bias, as well as GenAI’s potential impact on “knowledge workers” and even economy-wide job losses and societal risks. While this view is important, we have heard over and over that it’s not helpful to executives and board members because it’s difficult to translate from the generic insight that millions of jobs will be impacted to what it means for their businesses today.
Where Should Your Company Start with GenAI?
Understand where your company stands — and what it needs to do.
September 11, 2023
Illustration by Alex William
Summary.
Companies are struggling with where to start with generative AI. The authors’ case studies, based on their growing global community of over 3,000 GenAI practitioners, point to a new category of work, more precise and actionable than “knowledge work.” They call it WINS Work — the places where tasks, functions, possibly your entire company or industry — are dependent on the manipulation and interpretation of Words, Images, Numbers, and Sounds (WINS). This framework can help leaders identify how vulnerable their business is to changes from this new technology and plan their response.