Understand where AI creates value and risk, and how to lead its adoption.
As an Amazon Associate I earn from qualifying purchases. Book links on this site are affiliate links, so we may earn a small commission at no extra cost to you. How we choose books and fund the site.
Udemy links are affiliate links: we may earn a commission if you enrol, at no extra cost to you.
A practical view of working with AI and the economics of prediction.
Ethan Mollick offers practical guidance on working with generative AI as a collaborator, covering what it does well, where it makes mistakes and how it may change work and education. It suits managers, professionals and teachers who want to use AI thoughtfully.
Ajay Agrawal, Joshua Gans and Avi Goldfarb apply basic economics to artificial intelligence, treating it as a technology that makes prediction cheaper. They explore how that affects decisions, business strategy and jobs, and why human judgement gains in value. For managers weighing AI adoption.
Leading AI adoption and what changes when prediction becomes cheap.
A leadership-focused book on AI by David De Cremer, offering guidance on how managers can steer the adoption of artificial intelligence in their organisations. Most relevant to executives and managers who are responsible for decisions about how AI is used at work.
Argues that artificial intelligence is best understood as cheaper prediction, and that its biggest gains come when organisations rebuild whole systems and decisions around it rather than adding tools to existing processes. Useful for executives judging where AI will change their industry.
Courses on using ChatGPT and generative AI at work.
Browse ChatGPT & generative AI coursesCourses on applying AI in business.
Browse AI for business coursesThe wider consequences of the technology, and how product teams build what customers want.
Mustafa Suleyman and Michael Bhaskar argue that advances in artificial intelligence and synthetic biology are arriving together as a wave of powerful technologies that will be hard to contain. They discuss the risks and what governments and companies might do about them.
Makes the case that firms built around data, analytics and AI can scale and learn in ways traditional operating models cannot, and looks at what this means for competition, strategy and leadership. Suited to managers and executives rethinking how their organisations operate.
Marty Cagan explains how strong technology companies discover and build products that customers want and that work for the business, with emphasis on the role of product managers and the structure of product teams. Useful for product leaders and anyone building software products.
Courses on product management and discovery.
Browse Product management coursesIdentify one process, product or decision where the idea could create measurable value.
This week: Identify one process, product or decision where the idea could create measurable value.
