AI Saves Time. Who Pays the Price?

By Janvie Soqueña Amido

A company saves on a voice-over. A mother loses a project. Both describe the same business decision, but only one is likely to appear in a presentation celebrating efficiency.

On October 8, voice artist Inka Magnaye shared that her mother, veteran voice talent Lindy Pellicer, had lost a voice-over project because a major brand chose artificial intelligence instead. Inka did not identify the company. Her mother’s message was painfully simple: “I just lost a voice over job to AI.” (GMA News Online)

For people watching the rise of AI from a distance, it was another social media story. For those earning through their voices, writing, illustrations, or other creative work, it sounded like a warning arriving at their own doorstep.

What happens when years of practice become an expense a company decides it can avoid?

There are good reasons to welcome AI. A small entrepreneur can use it to draft product descriptions, organize customer inquiries, or make sense of a spreadsheet. A worker can spend less time preparing routine documents. Someone who struggles to express an idea can get help putting it into words. For businesses with limited resources, these possibilities matter.

Research offers evidence of those benefits. A study of 5,179 customer support agents found that access to an AI assistant increased productivity by about 14 percent on average, with larger improvements among less experienced workers. Used well, the technology can help people learn and perform better. (nber.org)

But productivity is only part of the story. We also have to ask what happens to the person who becomes more productive. Does that worker receive better pay? More time to rest? A chance to advance? Or simply a higher target by Monday morning?

In the Philippines, those questions already have faces.

In a November 2024 report by Rest of World, call center worker Renso Bajala described an AI assistant that helped retrieve customer information and suggest responses. He also described the pressure of having his calls monitored and scored. At his previous employer, he handled up to 30 calls during an eight-hour shift. In his new workplace, he said he reached that number before lunchtime. (Rest of World)

The same report featured an anonymous Manila worker who said her writing workload rose from one original article a week to 20 with ChatGPT. Errors required correction, and backlogs accumulated. She reported that eight members of the ten-person team, including herself, were laid off in March 2024. She later found work checking AI-generated information. Her experience shows how AI can remove work in one place and create it elsewhere, without making the transition easy for the person caught between the two. (Rest of World)

Closer to home, BusinessWorld reported in January 2025 that labour leader Ronald dela Cruz attributed the dismissal of 120 workers at an unnamed Bacolod BPO firm to AI taking over their work. This was a union leader’s account, rather than an independently established nationwide measure of displacement. Still, it deserves attention, especially in communities where outsourcing has become an important route to a steady income. (BusinessWorld Online)

For Iloilo and Bacolod, a threatened job reaches beyond an office building. Think of the boarding house paid through a call center salary, the meals bought during a night shift, or the younger sibling whose tuition depends on an older sibling’s employment. When income disappears, the effects travel.

Yet we should resist turning every warning into a prediction of collapse.

The International Labour Organization’s February 2026 brief estimates that 12.7 million Philippine jobs—more than a quarter of employment—are exposed to generative AI. Exposure means that some tasks could change or be automated; it does not mean all those workers will lose their jobs. Only 3.6 percent of jobs fall into the highest exposure category, where displacement risk is elevated. The ILO expects transformation to be the larger effect. (International Labour Organization)

There is evidence of continued hiring, too. According to CXAP figures reported by The Freeman, the Philippine contact center and business process management segment added more than 60,000 jobs in 2025, reaching 1.68 million workers despite growing AI adoption. (The Freeman)

An industry can grow while particular workers lose their livelihoods. New opportunities may require different skills, appear in another city, or offer conditions a displaced worker cannot accept. A national employment figure cannot explain whether the person who lost a project last Thursday can pay the bills next month.

The risks are uneven as well. The ILO finds that women face roughly twice the rate of generative AI exposure as men because of the occupations in which they are concentrated. Young people also commonly enter service, sales, and clerical roles with greater displacement risks. (International Labour Organization)

That should make us more careful with the familiar advice to “just upskill.”

Of course workers need to learn. But learning requires time, equipment, connectivity, and often money. A parent working nights cannot always absorb another unpaid responsibility. If companies benefit from a technological transition, they should help finance the training that makes it possible.

Even enthusiastic adopters have discovered the limits of treating AI mainly as a cost-cutting instrument. Swedish payments company Klarna said its chatbot handled work equivalent to 700 staff. By September 2025, its chief executive acknowledged that the company had pushed too far toward cost reduction and was correcting its approach. Reuters reported that it had resumed hiring. (Reuters)

Speed and savings matter. So do accuracy, service, and the ability to deal with a problem that does not fit the script.

For the Philippines, a sensible response must include paid training, opportunities for reassignment, and workers having a say before their roles are substantially changed. Schools must teach students to question and verify AI output. Employers should explain how automated systems assess performance and provide a person who can review disputed decisions. Government should measure actual displacement carefully enough to distinguish it from ordinary restructuring.

For creative work, consent and compensation should also be part of the conversation whenever a person’s voice, likeness, or work is used to build synthetic output. Human talent should have a fair chance to compete, and clients should be honest about what they are purchasing.

Inka’s post brought the issue back to where it belongs: a person trying to earn a living.

We can appreciate what AI makes possible and still challenge decisions that leave workers carrying the entire cost. We can encourage innovation while expecting businesses to invest in the people who helped them grow.

A lost job is never just a line removed from payroll. It is a household rewriting its plans.

Before we celebrate how much AI has saved, we should ask who received the savings—and who was left with the bill.