A Better Burst

We conceptualize artificial intelligence (AI) as both an epistemic technology and a form of social infrastructure shaping contemporary scientific knowledge production. While AI systems have accelerated discovery and enabled major breakthroughs, their integration into science also introduces systemic risks, including privatized control over knowledge infrastructures, limited accountability, and the propagation of errors within scientific outputs. We situate these developments within broader political-economic dynamics, identifying monopolistic concentration and speculative investment in the AI industry as signs of a potential market bubble. Drawing on historical parallels with railroad regulation, we argue that such moments create opportunities to realign infrastructure with the public interest. We propose reframing AI as a public utility subject to common carrier obligations and advocate for a modernized industry research lab model under public oversight. Centered on protecting the “right to science,” this framework aligns AI-driven innovation with democratic accountability and public benefit.