How Fast Is AI Coming for Our Call Center Jobs?

I’ve spent years watching the call center industry carry Filipino families forward. For many people I know, a headset and a night shift were not just a job. They were a way out. Bills got paid. Children stayed in school. Hope became something real. That’s why I feel uneasy when people brush off the threat of artificial intelligence and say, “It won’t hit us yet.”

The truth is, it already has.

When you look at the data, about 8 percent of BPO companies are now reporting job losses. At the same time, 13 percent of BPO companies say they’ve gained jobs. On the surface, that looks like balance. But it hides what’s really happening. We’re in the early stage of a shift, where some firms are growing while others quietly shrink. That’s often how big disruptions begin.

What worries me most is the next two or three years.

Major investors in the United States are now putting serious money into AI companies built specifically to target BPO work. These tools are designed to answer calls, respond to chats, and handle basic customer needs without human help. They start with simple tasks. Then they improve. Then they spread. By the time the impact feels “real,” it’s often too late to react.

There’s also a political risk we can’t ignore. In the U.S., proposed laws would require companies to disclose how much work they outsource. Some proposals even aim to bring call center jobs back to American soil. This matters because about 70 percent of our BPO industry depends on North America. A small policy shift there can create a big shock here.

People often suggest we should just diversify to Europe or other regions. That sounds smart, but it’s harder than it looks. In many European countries, outsourcing work to someone on the other side of the world, working a night shift, is culturally frowned upon. They would rather bring workers in than send jobs out. That limits how fast we can grow outside our main market.

Then there’s the technology itself, which may be the biggest threat of all.

AI can now neutralize accents. It can translate languages almost instantly. English has always been our strongest advantage. We trained for it. We became world-class at it. But that edge is shrinking fast. With AI, someone who doesn’t speak English well can still sound clear, confident, and fluent. The language barrier that once protected us is starting to disappear.

This opens the door to tougher competition. In places like Vietnam or parts of Africa, there are developers and technical workers who are highly skilled and often cheaper. Before, language slowed them down. Now, AI is removing that limit. That changes the global playing field.

I’ve seen this pattern before, and it still hurts to remember.

Years ago, the Philippines was a strong destination for electronics manufacturing. We worked on chips. But we stayed focused on basic assembly. We didn’t move up to more complex, higher-value work fast enough. Other countries did. Over time, the jobs moved elsewhere.

I’m afraid we’re repeating that same mistake in the BPO industry.

For years, we optimized for low-cost, high-volume voice work. To be fair, it worked. It lifted millions of Filipinos. But voice work is also the easiest thing for AI to replace. If we stay there, we make ourselves vulnerable. The decline won’t be sudden. It will be slow, then sudden all at once.

The only real defense is to move up the value chain. That means focusing more on analytical roles, complex back-office work, and jobs that require judgment, context, and problem-solving. Some BPOs are already doing this. I’ve seen it firsthand. I once worked briefly in a banking back-office team, and the work was advanced and demanding. Those jobs are much harder to automate.

But here’s the uncomfortable truth: higher-value work requires higher-level skills.

We can’t talk about moving up without talking about education and training. Upskilling isn’t a slogan. It’s survival. We need better learning pathways that help workers grow beyond basic voice roles. We need to prepare people not just to use AI, but to work alongside it.

Is two or three years enough time to catch up? I honestly don’t know. But I do know this: waiting is the worst option.

AI doesn’t have to be the villain. Used the right way, it can help workers learn faster, analyze better, and do more meaningful work. But that future won’t happen by accident. It requires clear choices, real investment, and urgency.

The future is already knocking. We can pretend we don’t hear it, or we can open the door and start climbing.

 

About Me:

Dominic “Doc” Ligot is one of the leading voices in AI in the Philippines. Doc has been extensively cited in local and global media outlets including The Economist, South China Morning Post, Washington Post, and Agence France Presse. His award-winning work has been recognized and published by prestigious organizations such as NASA, Data.org, Digital Public Goods Alliance, the Group on Earth Observations (GEO), the United Nations Development Programme (UNDP), the World Health Organization (WHO), and UNICEF.

If you need guidance or training in maximizing AI for your career or business, reach out to Doc via https://docligot.com.

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