The framework rejects both technological determinism and technological voluntarism. Determinism holds that technology causes social outcomes — that the effects of a technology are inherent in its capabilities and will be realized regardless of institutional context. Voluntarism holds that we can simply choose whatever outcome we want from a given technology. Both positions are wrong in ways Brynjolfsson's empirical work establishes precisely. Technology enables and constrains. Institutions and choices shape outcomes within the space technology defines. Neither side of the equation can be ignored.
The historical evidence for mediated outcomes is extensive. The industrial revolution produced extraordinary wealth. Whether that wealth produced Manchester-1840s-style Dickensian misery or post-WWII-style broadly-shared-prosperity depended not on the technology but on the institutions — labor laws, public education, social insurance, democratic governance — that societies built around it. Computing produced the contemporary decoupling not because computing inherently concentrated wealth but because particular institutional choices about education, taxation, labor markets, and platform regulation tilted the distribution in that direction.
The AI transition is testing the framework at unprecedented speed. The technology is advancing faster than any previous general-purpose technology. The institutional response — educational reform, measurement update, distributional infrastructure, regulatory framework — is moving at the pace institutions have always moved, which is to say slowly. The gap between technology speed and institutional speed is wider than at any comparable transition. But the framework still holds: the outcomes are not predetermined. They depend on choices about organizational redesign, educational investment, tax policy, research priorities, and platform governance — choices that are being made now, imperfectly and often by default, with consequences that will extend for decades.
The sentence's moral dimension is as important as its empirical dimension. If outcomes are shaped by choices, then those making the choices bear responsibility for the outcomes. Not the technology. Not the market. Not some abstract force of historical progress. The people and institutions deciding how to deploy AI — corporate leaders, policymakers, educators, and individual users — are the agents through whom the transition's outcomes will be determined. The sentence refuses the comfortable evasion of attributing consequences to forces beyond human control.
Brynjolfsson has used variations of the phrase across his career, with the fullest articulation appearing in his 2013 TED talk and across The Second Machine Age (2014). The position builds on Albert Hirschman's possibilism — the methodological commitment to taking seriously outcomes that structural analysis dismisses as improbable — and on the broader tradition of mediated technology assessment.
The rhetorical formulation — compressed, declarative, morally loaded — is unusual in economics writing but characteristic of Brynjolfsson's public voice. He uses it to communicate across disciplines and audiences in ways that technical academic writing cannot achieve.
Rejection of technological determinism. Technology does not cause outcomes; it shapes the space within which outcomes are chosen.
Rejection of technological voluntarism. We cannot choose outcomes freely; technology enables and constrains possibilities.
Outcomes are mediated by institutions. Educational systems, labor markets, tax codes, regulations, and organizational practices translate technology into outcome.
Moral responsibility follows agency. Because outcomes are shaped by choices, those making the choices bear responsibility.
AI transition tests the framework. At unprecedented speed and scale, the question of whether institutions can shape outcomes is being posed with historic urgency.