This page lists every Orange Pill Wiki entry hyperlinked from Oliver Williamson — On AI. 32 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.
Byung-Chul Han's diagnosis of the cultural trajectory toward frictionlessness — a smoothness that conceals the labor and struggle that gave previous work its depth.
The Berkeley researchers' prescription for the AI-augmented workplace — structured pauses, sequenced workflows, protected human-only time, behavioral training alongside technical training — the operational counterpart to Maslach's fix-the-…
The degree to which an asset loses value when redeployed outside a particular relationship—the variable determining whether transactions are governed by markets or hierarchies.
The condition in which the subject exploits herself and calls it freedom — the signature of the enterprise of the self, where the overseer's function is internalized as motivation.

The mutual lock-in created when both parties invest in relationship-specific assets—the structural condition making opportunistic exploitation possible and governance necessary.
Simon's 1955 thesis that human decision-makers operate under binding constraints of information, computation, and time — producing satisficing rather than optimization, and demolishing the foundation of classical economics.

The distinction between costless utterances (signaling nothing) and costly investments (signaling genuine intent)—the mechanism separating aspirational pledges from reliable governance.
A promise made believable by being made costly to break—the governance mechanism enabling cooperation in relationships vulnerable to opportunistic exploitation.
The organizational practice of evaluating judgment quality behind AI output rather than surface compliance—the governance structure AI's smooth interfaces demand.

Williamson's predictive principle that governance structures align with transaction characteristics—markets for low-specificity, hierarchies for high-specificity, hybrids for intermediate cases.
The institutional forms between pure market and pure hierarchy—long-term contracts, partnerships, alliances—calibrated to transactions with intermediate specificity and uncertainty.
The structural condition — formalized by Akerlof, Spence, and Stiglitz — in which one party to a transaction knows more than the other, producing outcomes that favor the informed at the expense of the uninformed and making the invisible hand
Strategic exploitation of the gap between AI output's smooth surface and actual quality—a governance hazard unique to technologies producing uniformly polished results.
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 behavioral assumption distinguishing Williamson's framework—agents will exploit informational and situational advantages when governance structures permit, making institutional design necessary.

The accumulated stock of shared understanding, mutual trust, and tacit knowledge enabling low-cost adaptation—the ultimate transaction-specific asset AI cannot replicate.
The canonical example of allogenic ecosystem engineering — a structure that modulates rather than blocks the flow of its environment, creating the habitat pool in which diverse community life becomes possible.

The AI-driven erosion of execution skills' transaction-specificity—formerly specialized capabilities becoming generic through tool-mediation, weakening workers' bargaining power.
The process by which a competitive transaction becomes a bilateral monopoly as parties invest in relationship-specific assets—the mechanism creating lock-in.
The political and emotional reaction against transformative technology on behalf of the workers and ways of life it displaces — historically vilified, increasingly reconsidered, and directly relevant to the AI transition.
The foundational organizational choice—whether to produce an input internally (hierarchy) or purchase it from the market—determined by transaction cost comparison.
The analytical framework that explains organizational boundaries by the costs of coordinating economic activity—why firms exist when markets supposedly coordinate efficiently.
Small cross-functional groups whose job is deciding what to build, not building it — Segal's organizational response to the separation of judgment from execution.

The organizational strategy of bringing successive production stages under unified ownership—the governance response to high asset specificity and opportunism hazards.
Korean-German philosopher (b. 1959) whose diagnoses of the smoothness society and the burnout society anticipated the pathologies of AI-augmented work with unsettling precision.
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.
American polymath (1916–2001) — Nobel laureate in economics, Turing Award winner in computer science, co-founder of artificial intelligence — whose concept of bounded rationality reshaped economics, organizational theory, and the design of …
American economist (1932–2020) who built transaction cost economics into the dominant framework for understanding firms, contracts, and governance—Nobel laureate (2009) whose work explains AI's reorganization of institutional boundaries.

British economist (1910–2013) whose 1937 question why do firms exist? founded transaction cost economics—the framework Williamson systematized into institutional theory.
The 2025–2026 trillion-dollar repricing of the software industry — when AI market capitalization overtook SaaS capitalization — read through Nye's framework as a geopolitical repricing of what constitutes strategic advantage, not merely a …
The February 2026 week-long training session in which Edo Segal flew to Trivandrum, India, to work alongside twenty of his engineers as they adopted Claude Code — producing the twenty-fold productivity multiplier documented in The Orange Pill…