Beijing Watch | China's Gig Economy Safety Net Is Failing Its Middle-Aged Workers

On the streets of Shenzhen, ride-hailing cars inch through peak-hour traffic while drivers stare at their phones, waiting for orders worth only a few yuan. On May 25, the Shenzhen Municipal Transportation Bureau issued yet another risk warning: the local ride-hailing market is "broadly saturated," urging prospective drivers to "make rational decisions." It was the city's 28th consecutive month of issuing such alerts.

The so-called "middle-aged unemployment trinity" — driving for ride-hailing platforms, delivering food, and working as a security guard, cleaner, or domestic helper — was once regarded as a buffer for blue-collar workers weathering China's economic slowdown. Today, those buffers are becoming dangerously blocked. Youth unemployment has climbed sharply, more companies have begun hiring young people for manual roles, yet even those lanes are crowded with over-educated graduates who cannot find work matching their qualifications. The governance challenge keeps growing.

When a city of nearly 18 million people, consistently among China's top economic performers, publicly declares its ride-hailing market saturated, it forces a reckoning: the last-resort employment mechanism is losing its capacity to absorb.

China's rapid growth over the past two decades produced a distinctive set of employment buffers. When manufacturing faltered, workers moved into construction. When construction slowed, they shifted to the platform economy. When major internet companies began laying off staff, food delivery, courier services, and ride-hailing picked up the slack, a pattern that intensified after the pandemic.

Large numbers of workers over 35 were laid off or reassigned. Many turned to the "Iron Triathlon": those still physically able drove for platforms, delivered food, or worked as couriers; older workers gravitated toward the "Lucky Three" of security guard, cleaner, and domestic helper. Low barriers and near-immediate hiring made these roles seem like a reliable financial floor.

According to a survey by China's New Employment Forms Research Centre, 77% of ride-hailing drivers entered the sector after losing a previous job, and 62.8% are their household's sole breadwinner. At its peak, the number of licensed drivers nationwide reached several million, average age approaching 40, with competition fiercest in Beijing and Tianjin.

By the first half of 2025, licensed ride-hailing vehicles in Shenzhen kept multiplying while daily orders per car fell to roughly 12 to 13 trips, many below 10. After platform commissions, rental, charging, and maintenance costs, full-time drivers were typically clearing between 5,400 and 7,000 yuan a month, barely above the local minimum wage. Food delivery riders face the same math, running red lights for one more order. Security and cleaning work offers even less: lower pay, fewer benefits, and a harder age ceiling. When the body gives out, the options disappear entirely.

Drivers describe the current environment as the era of "scrambling for orders." Total platform volume has not grown meaningfully, but the number of drivers competing for each trip keeps rising.

China's transport authorities are reportedly piloting penalties for extended driving, imposing the harshest sanctions on those behind the wheel for more than eight consecutive hours. Several Beijing drivers said such a rule could further erode their already thin earnings.

Many are sceptical about enforcement. How would traffic police determine a violation? If a roadside camera captured a driver yawning early in the morning, would that constitute proof of fatigue? One driver from Beijing's Haidian district argued that even a sharp cut in licensed vehicles would not resolve the city's chronic evening congestion. If the eight-hour rule were strictly enforced, he said, both drivers and passengers could end up with the same problem: no orders to accept, no car to hail.

Shenzhen's alert is not an isolated case. Over the past two years, Guangzhou, Zhuhai, Hefei, Chongqing, and other cities have issued similar saturation warnings. On the surface, the problem is overcapacity. In substance, it reflects deeper structural pressures: industrial upgrading is eliminating traditional jobs while youth unemployment remains elevated; re-employment pathways for workers over 35 have narrowed; weakening consumer demand has slowed growth in rides and deliveries; and platform companies, following the withdrawal of speculative capital, are now focused on cutting costs rather than expanding labour benefits.

These pressures compound across sectors. China's property market has contracted for years. The private tutoring industry was restructured by regulatory intervention. Internet companies have shifted from expansion to cost discipline. Parts of manufacturing have shed workers through automation. Workers over 35 carry mortgages, car loans, and school fees, yet are increasingly disadvantaged simply by age. Informal hiring ceilings around 35 remain common across industries, and once pushed out of conventional employment, gig platforms become the most accessible door left open.

Over the past decade, China's platform economy generated enormous employment. The model's appeal was accessibility: no complex training, no waiting period, almost immediate entry. That low barrier is precisely why the trinity became so widespread. But platform economies are not infinitely elastic. How many rides, food orders, and parcels a city generates each day ultimately depends on consumer spending and overall economic vitality.

Authorities have promoted skills training and pushed workers toward emerging industries, but for many middle-aged workers, transitioning into technology, artificial intelligence, or high-end services is not straightforward. Age discrimination and skills gaps are concrete obstacles.

The deeper question behind Shenzhen's saturation figures is this: where will new jobs actually come from during China's economic transition? For decades, the country relied on real estate, manufacturing, and the internet to generate hundreds of millions of positions. All three are now in contraction or adjustment. The new growth drivers of artificial intelligence, new energy, and advanced manufacturing are expanding fast, but they do not absorb ordinary labour at the scale traditional industries once did. A new-energy vehicle plant can generate significant output without creating proportional headcount. Artificial intelligence raises productivity while reducing demand for entry-level work.

If ride-hailing, food delivery, and courier services can no longer function as unlimited labour sponges, where does the next safety net come from? Employment shapes consumer confidence, social stability, and long-term expectations, not just household income.

Those middle-aged workers who once told themselves "at worst, I can always drive for Didi" are now confronting a harder question: if the trinity no longer works, where is there left to go? （Related： Beijing Watch | Czech Republic Charges Guangming Daily Reporter in Landmark Spy Case ｜ Latest ）

​Original Article in Chinese​