Philippines' outsourcing workers fear AI will automate their path to prosperity

Lisa spent fifteen years building a career in content writing. She started freelancing straight out of college, moved through various roles, and eventually joined one of the multinational companies that have made the Philippines a global outsourcing powerhouse. She was good at what she did—met her deadlines, produced solid work. She never felt the need to use artificial intelligence. Then, eight months into her latest position, with permanent employment just a month away, she was let go.

In the months before her redundancy, her employer had contracted with a public relations agency to generate content using AI. Lisa and her colleagues were tasked with editing this material, refining it, making it work. What they didn't fully grasp at the time was that they were doing something else: training the system on the company's writing style, teaching the AI to sound like them. When the technology proved capable enough, the editing work disappeared. So did the editors. "I feel like I dug my own grave," Lisa told the BBC, speaking on condition of anonymity because she signed a confidentiality agreement in exchange for severance. "We were the ones who trained the artificial intelligence that replaced us."

Lisa is not alone. The BBC spoke with several former outsourcing workers in the Philippines who experienced similar trajectories—hired to manage AI outputs, then made redundant once the systems matured. They cannot speak openly about what happened to them. The outsourcing industry operates on tight networks, and breaking silence could damage their prospects in a field where reputation and discretion matter.

The Philippines has built one of the world's most successful outsourcing industries over the past two decades. Beginning in the early 2000s, the country positioned itself as an English-speaking alternative to India for business process outsourcing. Successive governments offered tax breaks, built infrastructure, and courted multinational corporations. Companies like Accenture, Concentrix, and Teleperformance established massive operations in districts like Cubao in Manila, where streams of workers in company lanyards pour out of high-rise offices each evening. Today, the sector employs roughly 1.9 million people and generates $40 billion in annual revenue—about 10 percent of the Philippines' entire economy. For millions of Filipinos, these jobs represented a path into the middle class.

But the industry is now confronting a force that could reshape or even unravel that success. According to the International Labour Organization, more than one in four Filipino workers—12.7 million people—are employed in occupations exposed to generative AI. That's the highest share in Southeast Asia. Jack Madrid, president of the IT and Business Process Association of the Philippines, acknowledges that more than two-thirds of his members are already running AI pilots. "Agentic AI has the potential to automate at a much more accelerated pace," he says. He notes that most affected workers have been redeployed within their organizations so far, but he also admits the challenge is real. "We cannot do enough to be prepared," he says. "The importance of reskilling cannot be overstated."

The pressure to automate is relentless. Companies face demands from foreign clients to integrate AI into their services—not as an option, but as an expectation. Philippine outsourcing firms compete directly with rivals in India and elsewhere, and increasingly those clients want suppliers to deliver cheaper labor plus AI integration. Mary, another former content writer, experienced this firsthand. Her employer encouraged AI use as a productivity tool, but instead of simplifying her work, it created more. "We had to edit more, fact-check more because the data AI produced was inaccurate," she says. "Technically it was more work for us." She was later made redundant.

The major companies have offered public reassurances. Teleperformance says AI will augment rather than replace workers, with machines handling routine interactions while humans move to complex roles. Accenture promises that generative AI will reshape jobs rather than eliminate them, and has committed to investing billions in training. Concentrix says its AI systems will remain under human oversight. Yet the lived experience of workers like Lisa and Mary suggests the gap between corporate messaging and workplace reality is substantial. Paul Quintos, from the University of the Philippines-Diliman, points to another complication: some of what companies attribute to AI-driven automation may actually reflect weaker global demand or economic slowdown. "There is a term called 'AI washing'," he says. Attributing redundancies to technological progress can make layoffs seem inevitable rather than like responses to market conditions.

The government has recognized the stakes. The Department of Information and Communications Technology has committed to reskilling more than 300,000 outsourcing workers and is exploring how to build home-grown AI companies that could create higher-value jobs. But existing Philippine labor laws offer little guidance on how companies should introduce AI into workplaces or consult employees about its use. The outsourcing sector is non-unionized, leaving workers with minimal formal say in how new technologies are deployed. For more than twenty years, the Philippines sold the skills of its people to the world and prospered. AI may not end that model, but it is certainly changing it—and some workers are being left behind in the transition.