The late-1980s and early-1990s corpus imagined personal transportation in 2025 as a story about speed and hierarchy — who moves fastest, who gets the dedicated lane, who commands the escort. What it almost entirely failed to anticipate was the story we're actually living: the algorithmic mediation of movement, the gig-economy courier, and the slow, grinding democratization of navigation data.

Voinovich's Moscow 2042 [Voinovich, MOSCOW 2042, 1986] offers the sharpest accidental prophecy here. His satirical dystopia imagines a Soviet future where roads are organized by political rank — armored personnel carriers in one lane, smaller vehicles in another, ordinary automobiles in a third, and then a completely clear lane for "important persons." When the truly important pass, everyone else pulls to the shoulder. Read this in 2025 and you're looking at a funhouse-mirror version of HOV lanes, toll express lanes, and the invisible priority routing that Uber and Lyft give to surge-priced rides. Voinovich meant it as a joke about Soviet absurdity. It turned out to be a fairly precise description of how market logic stratifies road access.

Stephenson's Snow Crash [Stephenson, Snow Crash, 1992] takes a different angle but hits something equally real. Y.T. the Kourier, riding Smartwheels equipped with sonar, laser rangefinding, and millimeter-wave radar to navigate debris-strewn highways, is essentially a gig worker whose survival depends on sensor hardware she purchased herself. The RadiKS Mark IV Smartwheels are her capital investment; the pizza delivery contract is her gig. Stephenson got the sensor stack roughly right — modern e-scooters and delivery robots use exactly this sensor fusion — but he imagined the human body doing the maneuvering while the wheels handled obstacle detection. In 2025, that split has inverted: the vehicle does the maneuvering, and the human is increasingly optional. What he nailed was the economic structure: precarious workers, personally owned equipment, platform-mediated contracts.

Gibson's Mona Lisa Overdrive [Gibson, Mona Lisa Overdrive, 1988] gives us a hovercraft taxi in what appears to be near-future New York — armored, driver-invisible behind plastic, payment negotiated under a surveillance camera. The driver communicates through a speaker; the passenger never sees a human face. This is Uber Black with a more honest aesthetic. Gibson understood that the taxi relationship would become increasingly mediated and depersonalized, but he reached for hovercraft technology rather than app-dispatched sedans. The social arrangement he described — anonymous driver, surveilled passenger, negotiated destination, cash-equivalent payment held up to a camera — maps almost perfectly onto the 2025 rideshare experience. He got the vibe right, the technology wrong.

[Voinovich, MOSCOW 2042, 1986] — The traffic hierarchy passage is doing the most unexpected work in this corpus. Written as Soviet satire, it accidentally models the 2025 tiered-access road system: dedicated lanes for priority users, subordinate lanes for everyone else, and the spontaneous clearing of roads for the truly powerful. The steam-powered and furnace-driven vehicles are the miss; the lane hierarchy is the hit.

[Stephenson, Snow Crash, 1992] — Two distinct transportation systems operate simultaneously here. In Reality, Y.T.'s Smartwheels represent sensor-augmented personal mobility for gig workers. In the Metaverse, transportation follows a separate logic entirely: monorails for ordinary movement, motorcycle software for hackers who need speed, the express train irrelevant to someone riding in a straight line at maximum throttle. The parallel transportation systems — physical and virtual — are exactly what 2025 looks like, where Waze routing and Google Maps have created a second, overlaid infrastructure that shapes physical movement as powerfully as asphalt does.

[Gibson, Mona Lisa Overdrive, 1988] — The hovercraft taxi scene captures the social texture of 2025 rideshare with uncanny accuracy: the bribed dispatcher, the intimidated queue-jumpers, the armored separation between driver and passenger, payment displayed to a camera rather than handed to a person. Gibson's error was technological (hovercraft); his insight was sociological (the complete restructuring of the taxi relationship around surveillance and anonymity).

[Attali, Millennium, 1991] — Attali predicted that automobiles and other vehicles would become "privileged places of accumulation" for nomadic objects — phones, computers, entertainment systems. This is exactly what happened. The modern car is a rolling app platform. He also predicted hydrogen engines and high-speed magnetic trains, which exist but haven't displaced the automobile the way he expected. His Pacific-rim hypersonic aircraft haven't materialized. But his core insight — that transportation vehicles would become hosts for information technology rather than just mechanical conveyances — was precisely correct.

[Dreyfus & Athanasiou, Mind Over Machine, 1988] — The skepticism about mobile robots is the most interesting miss in the corpus. The authors quote an IBM researcher saying mobile robots are "a completely unrealistic goal" and describe a Stanford robot navigating at 3-5 meters per hour. In 2025, Waymo operates fully autonomous robotaxis in multiple American cities. The tacit-knowledge argument — that driving requires the kind of embodied expertise that can't be reduced to rules — turned out to be solvable not by replicating human intuition but by training on massive datasets of human driving behavior. The authors were right about the mechanism (rules don't work) and wrong about the conclusion (it's therefore impossible).

What emerges across this corpus is a consistent failure to imagine software as infrastructure. Every author in this window imagined transportation improvements as physical: faster planes, hovercraft, hydrogen engines, sensor-equipped wheels, magnetically levitated trains. Attali came closest to the actual trajectory by predicting that vehicles would become hosts for information objects, but even he framed this as accessories accumulating inside vehicles rather than software restructuring how vehicles are dispatched, routed, and monetized. The GPS turn-by-turn navigation revolution, the algorithmic ride-dispatch system, the real-time traffic rerouting that Waze performs — none of this appears in any form. These authors imagined smarter vehicles; they didn't imagine smarter networks mediating dumb vehicles.

The one exception is Stephenson, whose dual transportation systems — physical and Metaverse — gesture toward the idea that movement through information space would become as important as physical movement. But even he kept these systems parallel rather than integrated. The actual 2025 situation, where your physical route is continuously modified by a networked system processing millions of simultaneous location data points, is something none of these texts fully anticipate. The blind spot was network effects: these authors imagined individual transportation technologies improving, not transportation as an emergent property of networked data.

This corpus is almost entirely Western and overwhelmingly focused on North American and European transportation contexts. The actual 2025 personal transportation story is substantially Asian — the electric vehicle revolution is centered in China, the most sophisticated urban mobility apps are in Southeast Asia, and the highest-density micromobility deployments are in Chinese and Indian cities. Attali nods toward Japan and the Pacific rim, but as a future competitor rather than as the actual location where the most interesting transportation transformations would occur.

The corpus also has no working-class transportation perspective outside of Voinovich's satirical frame and Stephenson's Y.T. (who is a teenager, not an adult worker). The actual 2025 transportation landscape is shaped enormously by the experiences of delivery workers — DoorDash drivers, Amazon Flex contractors, food couriers on e-bikes — and this population is essentially invisible in these texts. Stephenson's Kourier is the closest approximation, but she's a punk teenager with attitude rather than an immigrant worker navigating platform algorithms. The gig economy's transformation of personal transportation into labor infrastructure was outside every frame these authors were working with.

Finally: climate. None of these texts, including Attali who discusses alternative fuels, anticipates that the reason transportation technology would change most urgently in 2025 is atmospheric carbon. The electric vehicle revolution isn't primarily about speed or efficiency or nomadic objects — it's about decarbonization. That particular pressure on transportation was not yet the organizing force it has become.