Edward Conard

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AI's Most Exposed Industry Keeps Hiring

AI Summary. Call center employment in the Philippines has reached nearly 2m workers and has grown every year since 2016, including through the artificial intelligence boom. As AI lowers the cost per customer interaction, companies are buying more of these services rather than fewer — an example of Jevons paradox.

Torsten Sløk Apollo
Date Posted:
May 4, 2026

The number of Filipinos working in call centers has risen every year since 2016 to ~2mm, despite the AI boom. Sløk argues this is “Jevons paradox in action: as AI makes call center work cheaper and faster, companies are buying more of it, not less.”

Does cheaper AI customer service increase call center employment?

Core argument: Nearly two million workers in the Philippines are employed in call centers, with employment rising every year since 2016 and continuing through the AI boom.

Nearly two million workers in the Philippines now work in call centers, up every year since 2016 and through the AI boom. This is Jevons paradox in action: as AI makes call center work cheaper and faster, companies are buying more of it, not less. Lower cost per interaction does not mean fewer interactions. It means more customers served, more channels opened and more markets worth reaching. The technology that was supposed to shrink the industry is fueling its expansion.

Takeaways by Macro Roundup® AI

  1. Nearly two million workers in the Philippines are employed in call centers, with employment rising every year since 2016 and continuing through the AI boom.
  2. The Philippine call center industry illustrates Jevons paradox, as AI makes each interaction cheaper and faster while companies buy more call center work rather than less.
  3. Lower cost per interaction means more customers served, more channels opened and more markets worth reaching, expanding rather than shrinking the call center industry.

Related Articles:

  • What The AI ‘Jobpocalypse’ Narrative Misses — Large gains in software productivity since the 1990s coincided with rising rather than falling web development employment, because demand for software grew faster than the labour needed per unit of output. Similar patterns appear in accounting, architecture, advertising, and high-tech healthcare specialisms such as lab testing and diagnostic imaging.
  • AI and the Fable of the ATMs — Bank tellers per branch fell steadily as automated teller machines spread, and total teller employment held up only because banking deregulation drove a rise in branch numbers; teller jobs are down nearly 40% from their peak. The author argues invoking this case for AI requires identifying an equivalent offsetting source of labor demand.
  • Generative AI and Entrepreneurship — The authors find that startups with a larger share of tasks doable by generative AI cut employment beginning immediately after ChatGPT's release, with technically proficient founders restructuring teams toward higher-skill roles. Venture investors made smaller but more numerous deals, and new firm entry offset the decline in total startup employment.
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