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Are Businesses Scaling Back Hiring Due to AI?

https://d.repec.org/n?u=RePEc:fip:fednls:101661&r=&r=ain

Published: September 4, 2025 00:00

The swift advancement of artificial intelligence (AI) has sparked significant concern that this new technology will replace jobs and stifle hiring. To explore the effects of AI on employment, our August regional business surveys asked firms about their…

Is AI Contributing to Rising Unemployment? Evidence from Occupational Variation

https://d.repec.org/n?u=RePEc:fip:l00001:101478&r=&r=ain

Published: August 26, 2025 00:00

Is AI driving job displacement? This analysis compares jobs’ theoretical AI exposure and actual AI adoption with changes in occupation-level unemployment.

GenAI, Growth, and the Multi-Sector Multipliers

https://d.repec.org/n?u=RePEc:rif:wpaper:131&r=&r=ain

Published: August 14, 2025 00:00

Abstract This paper analyzes the macroeconomic impact of Generative Artificial Intelligence (GenAI) on the Finnish economy, integrating recent literature and empirical evidence into a quantitative multi-sector general equilibrium model. The results…

Algorithmic Pricing and Competition: Balancing Efficiency and Consumer Welfare

https://d.repec.org/n?u=RePEc:cir:circah:2025pr-09&r=&r=ain

Published: August 4, 2025 00:00

This article examines the competitive implications of algorithmic pricing in digital markets. While algorithmic pricing can enhance market efficiency through real-time adjustments, personalized offers, and inventory optimization, it also raises substantial…

Generative AI may create a socioeconomic tipping point through labour displacement

https://d.repec.org/n?u=RePEc:ehl:lserod:128885&r=&r=ain

Published: July 18, 2025 00:00

Work is fundamental to societal prosperity and mental health, providing financial security, a sense of identity and purpose, and social integration. Job insecurity, underemployment and unemployment are well-documented risk factors for mental health issues…

Ethnic and gender bias in Large Language Models across contexts

https://d.repec.org/n?u=RePEc:osf:socarx:9zusq_v1&r=&r=ain

Published: July 6, 2025 00:00

In this study, we assessed if Large Language Models provided biased answers when prompted to assist with the evaluation of requests made by individuals with different ethnic backgrounds and gender. We emulated an experimental procedure traditionally used…

Ad Machina: Partisanship and Support for Delegating Government Decisions to Autonomous Algorithms

https://d.repec.org/n?u=RePEc:osf:socarx:rnj5h_v2&r=&r=ain

Published: July 3, 2025 00:00

Under which conditions are citizens willing to delegate government responsibilities to artificial intelligence? We hypothesize that the identity of incumbent policymakers impacts public support for delegating decisions to AI. In highly polarized societies,…

The Political Effects of the AI Revolution: Micro-level Evidence

https://d.repec.org/n?u=RePEc:osf:socarx:4xdn8_v1&r=&r=ain

Published: July 3, 2025 00:00

Machine learning and algorithmic decision-making technology – i.e., “artificial intelligence” (AI) – is rapidly advancing and becoming more widespread at workplaces. For some individuals, this is beneficial in that it increases their productivity and…

Inference for an algorithmic fairness-accuracy frontier

https://d.repec.org/n?u=RePEc:azt:cemmap:13/25&r=&r=ain

Published: July 1, 2025 00:00

Algorithms are increasingly used to aid with high-stakes decision making. Yet, their predictive ability frequently exhibits systematic variation across population subgroups. To assess the trade-off between fairness and accuracy using finite data, we…

Linking artificial intelligence job exposure to expectations: understanding AI losers, winners, and their political preferences

https://d.repec.org/n?u=RePEc:ehl:lserod:128289&r=&r=ain

Published: June 30, 2025 00:00

The rapid expansion of Artificial Intelligence (AI) in the workplace has significant political implications. How can we understand perceptions of both personal job risks and opportunities, given each may affect political attitudes differently? We use an…