Philippine Outsourcing Workers Train the AI That Replaces Them

Content writers in the Philippines are facing an unsettling reality: they're being asked to train the artificial intelligence systems that may eliminate their positions.

Lisa, a single mother who spent 15 years in content writing, joined Manila's outsourcing industry after years of freelancing. Eight months into her latest role—one month before it was set to become permanent—she was made redundant. In the preceding months, her employer had tasked a public relations agency with producing AI-generated material that Lisa and her colleagues edited, effectively teaching the system their company's writing style.

"I feel like I dug my own grave," she told the BBC, which first reported these accounts. "We were the ones who trained the artificial intelligence that replaced us."

Why it matters

The Philippines built a $40 billion outsourcing industry employing 1.9 million people by offering English-speaking talent to multinational corporations. That same workforce concentration now makes the country uniquely vulnerable to AI automation. The International Labour Organization estimates 12.7 million Filipinos—more than one in four workers—hold jobs exposed to generative AI, the highest share in Southeast Asia. How the Philippines navigates this transition will offer lessons for other emerging economies that rely on service-sector employment.

Pressure from global clients

Companies operating in the Philippines face mounting pressure from foreign clients to integrate AI as a cost-cutting measure, according to Paul Quintos from the University of the Philippines-Diliman. Philippine outsourcing firms compete directly with rivals in India and elsewhere, and clients increasingly expect not just cheaper labor but AI-integrated services.

Jack Madrid, president of the IT and Business Process Association of the Philippines, confirmed that more than two-thirds of the trade group's members are running AI pilots. While he said most affected workers have been redeployed within their organizations, he acknowledged that "there's a layer of jobs that are automatable or have been automated."

Mary, another content writer whose name was changed for this report, said her employer encouraged AI use as a productivity tool. Instead, it created additional work. "We had to edit more, fact-check more because the data AI produced was inaccurate," she explained. She was later made redundant.

Limited worker protections

Labor groups told the BBC that Philippine employment law governs redundancy but offers little guidance on how companies should introduce AI or consult employees about its deployment. The outsourcing sector remains non-unionized, leaving workers with minimal formal input on technology adoption.

The government has committed to upskilling more than 300,000 outsourcing workers. Leandro Aguirre of the Philippines Department of Information and Communications Technology acknowledged the country is "slightly behind" competitors like India and Singapore. He said the Philippines may need to rethink its economic model, which relied heavily on foreign direct investment, and focus instead on building homegrown AI companies that create higher-value jobs.

Quintos noted that despite hundreds of billions in global AI investment, limited evidence exists about workplace AI tools' actual productivity gains. Some layoffs attributed to AI may actually reflect weaker demand or economic slowdowns—a phenomenon he called "AI washing."

The BBC spoke with several former outsourcing employees who requested anonymity, having signed confidentiality agreements in exchange for severance pay. They fear public statements could damage their prospects in an industry with a small professional network.

These accounts were first reported by the BBC, with additional reporting by Jaltson Akkanath Chummar and Regine Cabato.