Category: Industry & Economics
How technology reshapes markets, labor, capital allocation, and business models. Analysis of who gains, who loses, and what the mechanisms actually are.
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The Hidden Costs of AI Talent Shortages on Economic Growth
The growing AI talent gap poses significant risks to economic growth, affecting workforce adaptability and organizational capabilities. Companies must prioritize building AI fluency across their teams to stay competitive. Read more
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Surplus Capture in the AI-Driven Economy: Who Really Benefits?
As AI technologies advance, the surplus generated by these innovations is increasingly captured by a select few, raising critical questions about economic inequality and the distribution of benefits. This piece explores the dynamics of surplus capture, particularly in the context of corporate giants and gig economy workers. Read more
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Funding AI: The Hidden Economics Behind Tech Investments
The concentration of AI investments among a small number of firms raises critical questions about the sustainability of business models and the implications for competition and innovation. This article analyzes the motivations behind funding decisions and their impact on the future of AI technologies. Read more
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The Costs of AI Policy: Who Wins and Who Loses?
AI policies increasingly favor large corporations at the expense of smaller firms and marginalized workers. This concentration of power exacerbates inequality, necessitating a reevaluation of our incentive structures to ensure that technological advancements benefit a broader segment of society. Read more
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Navigating the Economic Landscape of AI and Labor Automation
The rapid expansion of automation and AI in labor markets raises critical questions about job displacement and corporate accountability. As companies increasingly attribute layoffs to automation, the authenticity of these claims comes under scrutiny. Read more
