In China's bike-share-driven sharing economy, companies, investors, and the government see a potential windfall from customer data produced by every transaction
Brook Larmer / New York Times : Tweets: @nytmag , @rightlegpegged , and @mattsheehan88 Tweets: NYT / @nytmag : “As China defines it, even Amazon would be part of the sharing economy.” http://www.nytimes.com/... Jonathan Fertig / @rightlegpegged : Interesting perspective on the sharing economy in general, & dockless bike share in particular, in China. “The fight is no longer over who has the biggest fleet..but who has the smartest fleet.” https://www.nytimes.com/... Matthew Sheehan / @mattsheehan88 : .@brooklarmer arguing that the real windfall from the shared bike frenzy is the data. https://www.nytimes.com/... I make a similar argument for mobile payments as a data play in @MacroPoloChina https://macropolo.org/...
Context & Ripple Effects
By mid-2017, dockless bikes had overtaken cars as China's dominant last-mile mode, challenging Didi on its home turf, while venture money flooded into lookalike rental services and the State Information Office tallied the sharing economy at $507B with 600M participants. Brook Larmer's argument cuts through that froth: every unlock generates a transaction record, and the durable prize isn't the ride fee — it's the mobility data stream that companies, investors, and the Chinese government all want to monetize or control.
The framing matters because the fleet war was already being reframed as a software war — 'who has the smartest fleet,' not the biggest — and because the outcome was not kind to the asset owners: within two years the Ofo and Mobike boom had busted, stranding investors and littering cities with unused bikes.
First-order effects
- Operators like Ofo and Mobike shift competitive weight from fleet size to data capture — routing, pricing, and valuation all start depending on how well each ride is instrumented.
- Investors funding the bike-share land grab begin pricing portfolio companies on data assets rather than trip revenue, since per-ride economics alone cannot justify the capital burned on free bikes.
Second-order effects
- Government access becomes a structural term of the business: a company whose core asset is granular movement data operates under a regulator that is also its most powerful potential customer, shaping what can be collected and retained.
- Data becomes the consolidation currency — whoever aggregates the richest cross-city movement dataset can absorb weaker rivals' users cheaply after the inevitable shakeout, rather than buying their hardware.
Third-order effects
- The subsequent collapse of Ofo and Mobike shows the limits of the thesis: data streams did not survive the balance sheets that produced them, suggesting data value accrues only to platforms that reach profitability or get absorbed by deeper-pocketed owners.
- If the pattern holds, China's consumer platforms normalize routine state access to commercial behavioral data — a template where the government treats private-sector transaction exhaust as public infrastructure.
The trend: China's sharing economy is repricing itself from physical fleet scale toward transaction-data ownership, with the state positioned as both gatekeeper and beneficiary of that data.