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Measuring The Economic Impact Of Artificial Intelligence
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: OECD
An OECD policy-oriented analysis relevant to AI governance discussions, particularly around how economic measurement frameworks can inform regulation, competition policy, and labor market responses to AI deployment.
Metadata
Importance: 52/100organizational reportanalysis
Summary
This OECD report examines methodologies and empirical evidence for quantifying AI's economic effects, including productivity, labor markets, and innovation. It addresses the challenges of measuring AI adoption and its diffusion across sectors and countries. The report informs policymakers on how to track and respond to AI-driven economic transformation.
Key Points
- •Surveys existing frameworks and data sources for measuring AI's economic footprint, noting significant gaps in available statistics.
- •Examines AI's impact on productivity growth, firm-level performance, and sectoral transformation across OECD economies.
- •Analyzes labor market effects, including job displacement risks and skill demand shifts driven by AI adoption.
- •Highlights concentration risks, with large tech firms capturing disproportionate AI-related economic gains.
- •Calls for improved international data standards and indicators to better track AI diffusion and economic outcomes.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI Winner-Take-All Dynamics | Risk | 54.0 |
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Artificial intelligence
Artificial intelligence (AI) is a transformative technology capable of tasks that typically require human-like intelligence, such as understanding language, recognising patterns, and making decisions. AI holds the potential to address complex challenges from enhancing education and improving health care, to driving scientific innovation and climate action. But AI systems also pose risks to privacy, safety, security, and human autonomy. Effective governance is essential to ensure AI development and deployment are safe, secure and trustworthy, with policies and regulation that foster innovation and competition.
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Data and data flows are essential for digital transformation. Falling costs of data processing and storing, increasing connectivity and uptake of digital technologies, as well as recent advances in AI, have led to a rapid increase in the importance of data in economic activity. The effective use and governance of data relies on ability to move, share, analyse and protect data. The technical, policy, regulatory and institutional arrangements are a top policy priority for governments.
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