The Philippines’ business process outsourcing (BPO) industry is facing growing pressure from generative AI, with automation beginning to reshape roles ranging from content writing to customer service as the government and employers step up efforts to prepare workers for a changing labour market.
The BPO sector employs around 1.9 million people in the Philippines and generates approximately US$40 billion in annual revenue, equivalent to about 10% of the country’s economy. For more than two decades, the industry has been a major source of employment and economic growth, helping position the Philippines as a global outsourcing hub.
But the rapid adoption of AI is raising questions about how long the industry can continue to rely on large numbers of workers performing routine and standardised tasks.
The International Labour Organization (ILO) estimates that around 12.7 million workers in the Philippines, or more than one in four employees, are in occupations that could be affected by generative AI. The proportion is the highest in Southeast Asia.
While the ILO expects many jobs to be transformed rather than eliminated outright, the Philippines’ concentration of service-sector and outsourcing roles leaves its workforce particularly exposed to automation.
Jack Madrid, president of the IT and Business Process Association of the Philippines (IBPAP), said AI adoption is already accelerating across the sector. More than two-thirds of IBPAP member companies are reportedly running AI pilot projects.
“Agentic AI, which performs tasks by making its own judgments without human instructions, can greatly accelerate the pace of automation,” Madrid said. “There are clearly jobs that can be automated or have already been automated.”
Madrid said many employees affected by automation have so far been moved into other roles within their organisations.
However, he also pointed to a slowdown in outsourcing investment decisions amid weaker global demand and uncertainty over how businesses will ultimately deploy AI.
“We cannot do enough to prepare,” Madrid said, stressing that “the importance of reskilling cannot be overstated.”
Workers face a new form of job insecurity
The impact is already being felt by some BPO workers. One former content writer, identified as Lisa, said she was laid off eight months after joining a company and just one month before she was due to become a permanent employee.
Before the job loss, Lisa and her colleagues had been tasked with editing content produced by AI. She said their work also helped train the system to replicate the company’s preferred writing style.
“I think I dug my own grave,” she said. “We trained the AI that displaced us.”
Another former content writer, identified as Mary, said AI did not necessarily reduce workloads. Instead, employees were required to carry out additional editing and fact-checking because AI-generated content frequently contained inaccurate information.
“We had to do more editing, more fact-checking, because the data produced by AI was not accurate,” she said. “Technically, our workload increased.”
Both workers were subsequently laid off. The experiences highlight a broader concern for employees in the outsourcing industry: AI can simultaneously increase productivity, change job requirements and make some roles redundant.
Foreign clients add to automation pressure
Industry experts say the shift is also being driven by pressure from international clients, which increasingly expect outsourcing providers to use AI to reduce costs and improve productivity.
Paul Quintos, a professor at the University of the Philippines Diliman, said some companies may be reluctant to accelerate AI adoption because of the potential impact on employment. However, outsourcing firms face pressure to keep pace with competitors in countries such as India.
“There is immense pressure from foreign clients to adopt AI. It is a major way to reduce costs,” Quintos said.
He also cautioned against attributing every BPO job loss to AI.
Quintos said some companies may be using AI as an explanation for restructuring that is actually being driven by weaker demand or broader economic conditions.
“If you blame AI for layoffs, restructuring driven by market conditions can look like technological progress,” he said.
He described this phenomenon as “AI washing”, where job cuts are presented as a consequence of technological transformation even when market conditions may be a significant factor.
BPO giants shift focus to reskilling
Major outsourcing companies have argued that AI will change jobs rather than simply eliminate them.
Teleperformance has said AI can enhance employee capabilities by taking over routine and repetitive tasks, allowing workers to move into more complex responsibilities. The company has also announced plans to retrain employees as AI adoption increases.
Accenture has similarly said generative AI will alter the nature of almost every job but does not necessarily mean that jobs will disappear. The company has committed significant investment towards AI capabilities and employee training.
Concentrix, one of the Philippines’ largest outsourcing companies, has also emphasised the need for human oversight of AI systems and said it is training employees to work with emerging technologies.
For workers, however, the pace of change is creating uncertainty over whether reskilling programmes will move quickly enough to keep pace with automation.
Philippines plans to reskill more than 300,000 BPO workers
The Philippine government has committed to upskilling more than 300,000 BPO workers as it seeks to reduce the risk of widespread displacement and move the industry towards higher-value work.
Leandro Aguirre of the Department of Information and Communications Technology acknowledged that the Philippines needs to accelerate its response to AI disruption.
“To be honest, the Philippines is a bit behind,” Aguirre said. “We need to pick up the pace. We need to double our efforts so that our people are not displaced but can thrive in the growing AI competition.”
The government wants to move beyond an economic model heavily reliant on relatively simple outsourced tasks by developing domestic AI capabilities and creating higher-value jobs.
Aguirre said the country had become too dependent on foreign direct investment and now needs to focus more heavily on local talent and home-grown companies.
The government’s broader ambition is to develop AI companies in the Philippines that can generate higher-quality employment while strengthening the country’s position in the global technology economy.
Aguirre also argued that the benefits of AI should extend beyond employers.
“The benefits of AI must reach the people,” he said. “Its benefits should not be enjoyed only by employers.”
AI transition raises questions for labour policy
The shift is also exposing gaps in how labour policies address workplace AI adoption.
Labour organisations have pointed out that existing Philippine labour laws regulate layoffs but provide limited guidance on how employers should introduce AI, consult employees about new technologies or manage workforce transitions caused by automation.
The relatively low presence of unions in the outsourcing sector further limits workers’ formal participation in decisions around technology adoption.
For the Philippines, the challenge is therefore not simply whether AI will replace BPO jobs, but whether workers can transition quickly enough into roles requiring higher-value digital, analytical and interpersonal skills.
The country’s outsourcing sector has spent more than two decades building an economy around the skills of its workforce. Generative AI is unlikely to erase that model overnight, but it is already changing what clients demand and what skills employers value.
The success of the next phase may depend on whether government and employers can reskill workers at the same pace that AI is transforming the jobs they currently perform.