CONCEPT

Supply-Side vs Demand-Side AI Regulation

The distinction between regulation that constrains what AI companies may build (supply-side) and regulation that empowers citizens to navigate the AI-augmented economy (demand-side) — and the argument that the latter is both less susceptible to capture and more consequential for the deployment phase.

Supply-side regulation addresses genuine risks — the potential for AI systems to perpetuate bias, produce harmful outputs, compromise privacy, concentrate market power — and its development is both necessary and inevitable. But it is also the form of regulation most susceptible to capture, because it directly affects the competitive dynamics of the AI industry. The parties with the largest financial stakes in the outcome of supply-side regulation are also the parties with the greatest resources to invest in shaping the regulatory outcome. Demand-side regulation — investment in citizen capability, educational reform, transition support, information infrastructure — does not directly affect the competitive dynamics of the AI industry, which means it attracts less lobbying and is less susceptible to capture. But it directly affects the capacity of the broader society to benefit from the deployment phase.

*Supply-Side vs Demand-Side AI Regulation*

In The You On AI Encyclopedia

The distinction maps onto the installation-deployment distinction. Supply-side regulation operates primarily at the installation-phase level — constraining the technology's installation. Demand-side regulation operates at the deployment-phase level — building the institutional infrastructure that enables broad benefit. Both are necessary, but their political dynamics and susceptibility to capture differ substantially.

Edo Segal's advocacy in You On AI for demand-side regulation aligns with Perez's framework in a structural way: the most durable deployment-phase institutions are the ones that expand the capability of citizens rather than constrain the technology companies. Universal education did not constrain the factory system's operation; it produced a population that could participate in the industrial economy. The G.I. Bill did not constrain employers; it produced an educated workforce. The analogous AI-age demand-side infrastructure would not constrain AI companies but would produce a citizenry capable of navigating the AI-augmented economy.

Carlota Perez

The European Union's AI Act is primarily supply-side regulation; the American approach through executive orders and agency guidance is also primarily supply-side. Demand-side regulation — investment in citizen capability, educational transformation, transition support — remains underdeveloped in both jurisdictions, for structural reasons: demand-side regulation requires sustained public investment without immediate visible returns, which is politically more difficult than the supply-side regulation that can be enacted as a response to specific visible harms.

The principle that the most effective deployment-phase institutions have historically been the ones that expanded capability rather than constrained it is one of the framework's most practically useful prescriptions. Universal education empowered workers. Social insurance empowered workers to take risks. Demand-side AI regulation should follow this pattern: expanding the capacity of citizens, workers, and communities to participate in the AI-augmented economy, rather than merely constraining the companies that build the tools.

Origin

The supply-demand distinction in AI regulation was articulated by Segal in You On AI and is developed within the Perez framework in the Carlota Perez book.

Key Ideas

Supply-side. Regulates what companies may build.

Demand-side. Empowers citizens to navigate the technology.

Capture asymmetry. Supply-side regulation is more susceptible to capture than demand-side.

Historical precedent. Successful deployment-phase institutions have expanded capability rather than constrained technology.

Underdeveloped. Demand-side regulation remains neglected in current regulatory frameworks.

In The You On AI Encyclopedia

Origin

Key Ideas

Related Entries

Further Reading