The Kenyan essay gig economy once brought in between $240 million to $960 million annually in gross payments. AI slaughtered that cash cow.
Posted by Leslie Eastman
Artificial intelligence was supposed to liberate students from academic drudgery, letting them quickly access links and information across a wide array of subjects and make their scholarship smarter and more efficient.
However, as I noted in previous posts, AI has made academic dishonesty more prevalent, triggering a cascade of unintended consequences.
But not all of the consequences are bad.
The arrival of ChatGPT has nuked Kenya’s gig economy built around writing assignments for Western university students.
This weekend, The New York Times published a story that began with Teresios Bundi’s journey from a Kenyan farming village to Nairobi. The cash-strapped university student found a fiscal lifeline writing essays for overseas students eager to outsource both homework and responsibility. Over 12 years, Bundi reportedly produced more than 2,500 papers (sometimes even logging into students’ own school accounts).
The academic fraud mill was working brilliantly until students discovered AI.
In 2022, OpenAI released ChatGPT. At colleges worldwide, students made a simple calculation that has become more pronounced today: Why pay a freelancer in Kenya when ChatGPT could do the job?
Essay work began to thin. Rates fell, and assignments dwindled. Before long, the industry shrank to almost nothing. “I never would have expected A.I. could do this,” Mr. Bundi said.
His fate is shared by others who had found a foothold in the global online gig economy. Kenyans also transcribed meetings through the freelance platforms Upwork and Fiverr. They flagged Facebook posts to help the platform decide what could stay up. One after another, those opportunities have withered.
…Mr. Bundi said he had regrets. When he graduated from college in 2015, he bypassed a public health career to start an online essay-writing business, charging $40 to $70 per paper. Assignments came in through digital platforms, and he divvied up work between himself and students he hired. He rented a house near a university and filled it with desks, fast internet and mattresses. Students worked between classes and slept when too exhausted to write.
Of course, the NYT, being the NYT, has the woke slant to this development that we have come to expect.
According to the NYT article, the remaining essay-generators are now marketing their skills in “humanizing” AI-created work to avoid AI detectors. That pathway, too, is likely to fail.
What makes Nairobi’s essay economy a useful test case is that the clients didn’t run off to cheaper competitors down the road. Demand just vanished overnight because AI started doing the same jobs for free.
As Oxford gig economy researcher Mark Graham points out, automated tools have already carved up huge chunks of these digital workforces, and Kenya is really just the first stop on a much longer tour.
The policy tension bubbling underneath is also a noteworthy detail.
Kenya staked a decade-long national strategy on digital outsourcing at a time when generative software began executing those same tasks for almost nothing. Any government or gig platform still banking on exporting piece-rate digital labour is currently watching a live demonstration of the future. They’re seeing exactly what unfolds when the job itself simply ceases to exist.
Based on my calculations, from the numbers reported in the NYT article and other reports, the Kenyan essay gig economy brought in between $240 million and $960 million annually in gross payments. AI has slaughtered the country’s cash cow.
And it’s not just essayists being impacted by the automated options now available.
Uber is cutting about 3,300 roles, roughly 10% of its workforce, and shutting down in Nigeria and Uganda as it redirects spending towards robotaxis. Its internal memo says everyone affected has been notified except where local process applies, which in the EU means consultation with workers’ representatives and a 30-day wait after notifying the authorities.
Uber is cutting about 3,300 roles, roughly 10% of its staff. It is also shutting down in Nigeria and Uganda, Bloomberg reported.
The stated reason is structure rather than performance. Dara Khosrowshahi’s memo cites more layers, more coordination and fragmented ownership, and the changes cut manager numbers by 20%. Micro-teams of one or two people are halved.
The Kenya essay-mill collapse isn’t just a quirky tech story; it’s a cautionary tale for anyone who still believes central planners can outthink exponentially improving technology.
Kenya bet a decade of national strategy on selling cheap digital labor and academic fraud to the West, and AI completely nuked that business model. This stunning development proves, yet again, that top-down economic blueprints have the shelf life of a carton of milk left in the sun.
The takeaway for students and young workers in Kenya and elsewhere isn’t to panic, but to get serious: Practice real scholarship, gain the skills tied to true craftsmanship, learn to work with your hands and in the trades, and build hard-won human expertise that no algorithm can simply download and undercut overnight.
