Prediction Machines: Transforming Business with AI as a Prediction Engine

Prediction Machines is a transformative resource that redefines artificial intelligence as a powerful tool for reducing the cost of prediction, offering a practical economic framework for organizations and individuals navigating the AI era. Authored by leading economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb, the platform—centered around their acclaimed book Power and Prediction—empowers business leaders, innovators, and decision-makers to rethink strategy, redesign systems, and harness AI’s potential across industries like finance, healthcare, retail, and automotive. The website provides actionable insights through the 'AI Canvas' tool, thought-provoking articles, presentations, and media coverage, making complex AI concepts accessible and applicable.

Key Features:

• AI Canvas Tool: A practical framework for applying AI’s predictive power to real-world business decisions.
• Economic Framework for AI: Offers a clear, insightful model for understanding how AI reshapes industries and economies.
• Comprehensive Content Library: Includes articles, presentations, and media that expand on the book’s core ideas.
• Expert Authorship: Backed by renowned economists from the Rotman School of Management and the Creative Destruction Lab.
• Industry Applications: Demonstrates AI’s impact across banking, pharmaceuticals, automotive, medical tech, and retail.
• Follow-Up Book: Power and Prediction: Released in 2023, building on the original 2018 work with updated insights on AI’s strategic implications.

Pricing: Prediction Machines offers a paid pricing model for its book and audiobook, available through major retailers and Audible. The website also provides free access to articles, presentations, and the AI Canvas tool, making it a freemium experience.

Conclusion: Prediction Machines is an essential guide for forward-thinking professionals and organizations, delivering deep economic insight into AI’s role as a prediction engine and equipping users with tools to lead in the 'Between Times'—a pivotal era of AI transformation.