In mobility, AI wins as a coordinator long before it wins as a driver.
Self-driving headlines suggest transportation is about to shed its workers. The data says the opposite for the next three years: there is a driver shortage, autonomy is scaling from a rounding-error base, and AI's real payoff is orchestrating how people and goods move — routing, fleets, and fares. The intelligence layer arrives years before the empty driver's seat.
Ask most people what AI does to transportation and they picture an empty driver's seat. That future is coming — but it is not the 2026–2028 story, and the numbers make the timing clear. Globally, the commercial robotaxi fleet stood at roughly 7,000 vehicles in 2024; even the bullish projections put it near 1 million by 2030.4 That is explosive growth from a base so small it moves almost none of the world's people or freight this decade.
Meanwhile the human side of mobility faces a shortage, not a glut. The American Trucking Associations projects the US driver deficit could exceed 160,000 by 2030, with an aging workforce and high turnover.2 The World Economic Forum lists delivery drivers among the largest absolute job gains of any role through 2030.5 When you cannot find enough drivers, AI that makes each one more productive is a lifeline — not a pink slip.
Where AI actually pays off first: the coordination layer
The near-term value in mobility is not autonomy — it is orchestration. AI applied to distribution and logistics is already taking real cost out of the system: McKinsey finds AI cuts logistics costs by 5–20%, inventory by 20–30%, and procurement spend by 5–15%.3 On the road, shaving even 30 seconds per delivery stop compounds into dozens of extra drops per route. The AI-in-logistics market reflects the pull: around $20 billion in 2024, growing ~26% a year.6
Autonomy: real, worth backing — and small for now
None of this means self-driving is hype. The robotaxi market is projected to leap from well under $1 billion in 2023 to roughly $46 billion by 2030 — a ~90% annual growth rate — and Goldman Sachs sees the global market reaching around $400 billion by 2035.1 But that trajectory starts from almost nothing, and it concentrates on specific, well-mapped lanes. For the vast majority of trips — dense cities, informal transit, mixed traffic — a human still drives, and AI's job is to make that human's route, fare, and vehicle smarter.
For 2026–2028, AI in mobility is a coordination and augmentation play: it fills a driver shortage, optimizes every route and fleet, and layers intelligence over the movement systems people already use. Full autonomy is a real long-term prize — but this decade, the winner is whoever makes existing mobility smarter, not driverless.
Why we backed the coordination layer, not the driverless one
This is precisely the thesis behind CorC. Rather than bet on replacing drivers, CorC lays an AI coordination layer over Cairo's mini-bus network — the city's largest mass-transit mode — with GPS-tracked rides, digital fares, and revenue intelligence. It makes an existing, human-run system legible and efficient, which is exactly where the data says the near-term value in mobility sits.
In emerging markets especially, the opportunity is not importing robotaxis; it is bringing intelligence to the informal transit that already moves millions every day. That's a green-mobility story too: better-coordinated shared transit means fuller vehicles, fewer empty miles, and lower emissions per rider.
CorC →Where these numbers come from
Market forecasts come from commercial research houses and Goldman Sachs and should be read as projections; robotaxi estimates in particular vary widely by analyst. Labor-market and augmentation framing follows the primary institutions cited in our flagship briefing, The Great Reallocation.
- Goldman Sachs — Robotaxis forecast to become a ~$400B market by 2035; AV market & ridesharing outlook. goldmansachs.com
- American Trucking Associations — projected US driver shortage exceeding 160,000 by 2030. trucking.org
- McKinsey & Company — AI in distribution operations: logistics −5–20%, inventory −20–30%, procurement −5–15%. mckinsey.com
- Goldman Sachs / industry estimates — global commercial robotaxi fleet ~7,000 (2024) → ~1,000,000 (2030). goldmansachs.com
- World Economic Forum — Future of Jobs Report 2025: delivery drivers among the largest absolute job gains to 2030. weforum.org
- Market research (GM Insights / MarketsandMarkets) — AI in logistics & supply chain ~$20B (2024), ~26% CAGR; robotaxi ~$46B by 2030 (~92% CAGR). gminsights.com
A GreenLeafSource Research industry brief · Compiled July 2026 · Part of The Great Reallocation series.