This page lists every Orange Pill Wiki entry hyperlinked from Mariana Mazzucato — On AI. 22 entries total. Each is a deeper-dive on a person, concept, work, event, or technology that the book treats as a stepping stone for thinking through the AI revolution. Click any card to open the entry; in each entry, words colored in orange link to other Orange Pill Wiki entries, while orange-underlined words with the Wikipedia mark link to Wikipedia.
The principle that public support for private firms — subsidies, tax advantages, procurement contracts, regulatory accommodation — should come with enforceable requirements attached, aligning private behavior with public purpose.
The Orange Pill claim — that AI tools lower the floor of who can build — submitted to Sen's framework, which asks the harder question: does formal access convert into substantive capability expansion?
Mazzucato's 2019 analytical framing — extended to AI — for the platform economy's structural parallel to feudal arrangements, where productive capacity increases while ownership of the means of production concentrates.
Mazzucato's proposed mechanism — a levy on AI firm revenues — to capture a share of returns derived from publicly funded research and publicly produced training data, channeled toward public innovation and open-source infrastructure.
The economic mechanism by which voluntary adoption becomes involuntary dependence through the accumulation of platform-specific investments — the subject of Shapiro's career-long investigation and the force now operating at unprecedented sp…
The economic phenomenon by which a good becomes more valuable as more people use it — formalized by Katz and Shapiro in 1985 and now the single most important concept for understanding AI platform market structure.
The analytical framework governing multi-sided markets where value is created by participants and captured by intermediaries — now the defining economic structure of the AI-enabled creation ecosystem.
Mazzucato's proposal for publicly funded computational infrastructure that would provide researchers, builders, and institutions with access to AI capability without the dependency dynamics of private platforms.
The structural pattern — documented across pharmaceuticals, the internet, GPS, and AI — in which the state bears the high-risk investment burden while the private sector captures the commercial returns.
The extraction of value through structural position rather than genuine productive contribution — the mechanism by which, Stiglitz argues, a substantial portion of wealth concentrated at the top of advanced economies represents returns on m…
The founding fiction of Silicon Valley — that innovation originates in private initiative and individual genius — whose ideological function is to conceal the publicly funded foundation on which private commercial success rests.
The conversion of humanity's accumulated written output — produced over centuries, sustained by public education and research — into private proprietary value, without compensation flowing back to the public that produced the resource.
Mazzucato's load-bearing analytical distinction between producing goods and services that meet genuine human needs and capturing returns from value created by others without corresponding contribution.
The class of machine-learning architectures loosely modeled on biological neurons — the substrate of the current AI revolution and the opposite of Asimov's designed-then-programmed positronic brain.
The 2017 neural network architecture, built around self-attention, that replaced recurrent networks for sequence modeling and became the substrate of every large language model since.
Mazzucato's 2021 treatise applying the Apollo program framework to contemporary challenges — proposing that public investment should be organized around ambitious societal missions rather than market-failure correction.
Mazzucato's UCL research collaboration with Tim O'Reilly and Ilan Strauss documenting how AI platforms extract value through market power rather than create it through genuine innovation.
Serial entrepreneur and technologist whose The Orange Pill (2026) provides the phenomenological account — the confession over the Atlantic — that Pang's framework diagnoses and treats.
Italian-American economist (b. 1968), founder of the UCL Institute for Innovation and Public Purpose, whose work on the entrepreneurial state, value creation, and mission-oriented innovation has reshaped debates over industrial strategy.
The periodic cycles of collapsed expectations and funding in AI research, most famously 1974–1980 and 1987–1993 — moments when the gap between promised and delivered capability became too painful to sustain.
The 2020–2022 commercialization of mRNA vaccine technology — thirty years of publicly funded research, seventy billion in private returns, zero direct public participation in the upside.