Historian Jill Lepore argues Silicon Valley is building an 'Artificial State' that mimics democratic government

The ‘Artificial State’ thesis

Historian Jill Lepore argues that technology leaders are systematically adopting the language and machinery of democratic government while fundamentally misunderstanding—or willfully dismissing—political complexity as a design problem. According to TechCrunch, Lepore’s forthcoming book, The Rise and Fall of the Artificial State, traces a through-line from Apple’s 1984 Macintosh advertising campaign to contemporary AI company branding, documenting how tech firms progressively position themselves as replacements for the nation-state rather than tools operating within it.

The pattern Lepore identifies cuts across platforms: Twitter’s aspiration to be a “town hall in your pocket” and Anthropic’s framing of Claude around constitutional principles both exemplify what she sees as a fundamental conflation of code with governance. These aren’t incidental metaphors, Lepore contends, but deliberate rhetorical moves that encode a deeper substitution—the gradual displacement of democratic institutions by algorithmic ones.

Why science fiction matters (and why Silicon Valley misreads it)

TechCrunch’s podcast discussion highlights Lepore’s invocation of E.M. Forster’s 1909 dystopian narrative The Machine Stops. Lepore argues that the story provides an unexpectedly precise blueprint for what the artificial state looks like in practice—and that contemporary AI leaders, despite their presumed familiarity with speculative fiction, fundamentally misread such warnings.

Lepore characterizes The Machine Stops as reading like “the diary of a very unhappy YouTuber” when examined through a 2026 lens, suggesting that Forster’s pessimistic vision of technological intermediation has become more literally descriptive than allegorical. The implication cuts both ways: the dystopia Forster imagined is more banal than his melodrama suggested, and its prophetic power lies not in drama but in the mundane efficiency with which it displaces human judgment.

The unsustainability argument

Central to Lepore’s analysis, according to the podcast episode, is the claim that the artificial state is fundamentally unstable. Rather than offering a final form of governance, it represents a transitional phase dependent on continued technological confidence and the absence of political accountability mechanisms. The book reportedly argues that rethinking what constrains artificial states—what prevents their expansion—requires reasserting democratic scrutiny over their operations, a move tech leadership has systematically resisted.

Why This Matters

Lepore’s framing resets the terms of debate around AI governance. Rather than engaging with claims about efficiency or capability—the ground on which tech companies prefer to fight—she asks a prior question: what political functions are being assumed, by whom, and under what authority? For policymakers, platform researchers, and technologists building AI systems, this distinction matters because it clarifies that the question is not whether algorithms can govern, but whether we should allow their designers to govern without consent. If Lepore’s diagnosis is correct, the structural instability she identifies will eventually force that reckoning; the question is whether it arrives through gradual democratic reassertion or through crisis.