What are AI’s Real-World Impacts on Labor and the Economy?
Announcing The AI, Labor, and the Economy Case Study Compendium
The impact of artificial intelligence (AI) on the economy, labor, and society has long been a topic of debate — particularly in the last decade — amongst policymakers, business leaders, and the broader public. Estimates of its current and imminent labor and productivity impacts have varied widely, often reaching contradictory conclusions. A salient question for researchers, managers, and economic analysts has been whether large investments in AI and machine learning (ML) are warranted. Can the promises of AI be realized, and if so, what are their potential impacts on the various stakeholders involved?
To help elucidate these various areas of uncertainty, we are pleased to today publish a series of case studies conducted by the Partnership on AI (PAI)’s Working Group on “AI, Labor, and the Economy” (AILE). The AILE Case Study Compendium investigates the labor implications and productivity impacts of AI implementation through a series of case studies across different applications, geographies, and sectors. Using interview-based methods, we examined the impact of AI applications at three companies: Axis Bank, Tata Steel Europe (TSE), and Zymergen.
An Overview of the Case Studies