AI's quiet toll: Filipino workers say they helped train their own replacements
For 15 years, a single mother in the Philippines, identified here as Lisa, earned her living as a content writer. Starting straight out of college, she freelanced for years before joining a multinational in the country's booming outsourcing industry—a path taken by many young Filipinos seeking stable employment.
Lisa says she never felt the need to use artificial intelligence (AI) in her work. "I can say that I am able to do my job, I meet deadlines. In my opinion, there is no need for [AI]," she told the BBC.
Eight months into her latest role, and one month before the position was due to become permanent, she was made redundant. In the months before, Lisa says a public relations agency had been tasked with producing AI-generated material that she and her colleagues were asked to edit. She says her skills were used to train the AI on the company's writing style.
"I feel like I dug my own grave," she says. "We were the ones who trained the artificial intelligence that replaced us."
Lisa is one of several former outsourcing employees the BBC spoke to who asked to remain anonymous. They signed confidentiality agreements in return for severance pay, and fear that speaking publicly could hurt their chances of finding work in an industry with a small professional network.
Their experiences offer insight into a question confronting emerging economies like the Philippines: what happens when AI begins to automate the jobs that helped lift millions of people into the middle classes?
The Philippines has long been a global hub for business process outsourcing (BPO), with an industry that employs over 1.3 million people and contributes significantly to the country's economy. The sector has provided a pathway to stable incomes for many, particularly in customer service, data entry, and content production. However, the rapid advance of generative AI tools has raised concerns among workers and economists alike.
Lisa's story illustrates a specific form of AI transition: workers are not only being replaced by automation but are also, in some cases, unwittingly involved in training the very systems that displace them. This 'automation paradox' is not unique to the Philippines, but its impact is amplified in economies where outsourcing jobs are a cornerstone of middle-class growth.
Analysts note that AI adoption in the BPO sector is still in its early stages, and many companies are using it to augment rather than replace human workers. Yet the pace of change is accelerating, and governments and industry leaders are being urged to invest in reskilling programmes and social safety nets to cushion the transition.
For Lisa, the immediate concern is finding new work. "I am now looking for another job," she says. "But I know many companies are already using AI for the work I used to do." Her experience is a cautionary tale, highlighting the human cost of technological progress and the urgent need for policies that protect workers during this shift.
As emerging economies navigate the AI era, the question is not whether automation will arrive, but how it will be managed. Lisa's story underscores the importance of ensuring that workers are not left behind—and that the tools meant to increase efficiency do not come at the expense of human livelihoods.
