First the Boom. Now the Blast Radius.

When a sector that employs nearly two million people starts to contract, the damage does not stay inside the industry.

I have lived in Ortigas and now live in Makati. I watched the offices thin out during Covid and the service economy around them contract in real time — the restaurants that closed their doors, the transport networks that emptied, the retail that quietly evaporated floor by floor. The assumption was always that the workforce would come back. With AI, that assumption is now harder to hold.

What is changing is not just an industry facing disruption. It is the structural logic underneath an entire growth model.

The Philippines built its prosperity on IT-BPM: what started out as a niche experiment in the late 1990s is now an industry employing nearly two million people and generating roughly $40 billion in export revenues. The sector accounts for approximately 8 percent of GDP, 44 percent of all office transactions, and roughly 64 percent of the country’s service exports.12 For a generation, it was the most reliable engine of middle-class formation.

AI is beginning to compress that engine. But you won’t see a single visible break. The headline numbers still look stable, and industry groups still project growth. But underneath the revenue line, the arithmetic is changing. Contact centers, which still account for 83 percent of industry revenue and 89 percent of employment, are precisely where AI-driven substitution arrives first.12 The IMF’s February 2025 working paper found that BPO carries the highest proportion of jobs at risk of AI displacement among all Philippine sectors. The ILO estimated that 89 percent of salaried BPO workers face high automation risk.3

When a sector this embedded starts to thin, the pressure does not stay inside BPO. It moves outward. And it moves along a path that was quietly laid during the years when everything seemed to be working. The blast radius is widest exactly where the cushion is thinnest.

Office markets feel it first

Metro Manila’s office vacancy was 19.4 percent at the end of 2025.4 That number has been elevated since the pandemic, and much of the commercial real estate industry has been waiting for IT-BPM expansion to absorb the surplus. That was the implicit bet: Covid hollowed the offices, but the BPO workforce would eventually fill them again.

AI changes that calculation. If firms can service the same accounts with fewer people, the floor space per dollar of revenue falls — and the recovery that landlords and developers have been pricing in either gets pushed further out or does not arrive at all.

The dependency is already measurable. IT-BPM accounted for 44 percent of nationwide office transactions in 2024, covering 424,531 square meters of space. Even in a year of overall sector growth, Colliers recorded more than 61,000 square meters of vacated outsourcing and shared-services space, a figure that barely registered in the headline statistics.12 That is the early shape of the adjustment: not a crash, but a quiet accumulation of non-renewals, slower expansions, and reductions in space per worker that will show up in leasing decisions and developer assumptions long before they appear in vacancy rates.

Think of it in physical terms. Sixty-one thousand square meters is roughly 20 floors of a standard BGC tower. Vacated in a single year of nominal growth. In a year when the sector was, by the official count, still hiring.

The pressure transmits to credit

That softening office market does not stay in the property sector. It moves directly into the banking system’s loan books, and from there into the wider credit environment.

BSP data put real estate loans at ₱3.0 trillion as of March 2025, roughly 19 percent of total bank lending and the largest single sectoral exposure in the system.5 A BSP discussion paper published in 2025 found that real estate shocks generate persistent, statistically significant contagion across Philippine financial institutions, transmitting through both bank and non-bank channels.6

This is not a crisis story — at least not yet. The same BSP data show a banking system that remains well-capitalized, with capital adequacy ratios above regulatory minimums even under severe stress tests. But the defensible claim is narrower than “banking crisis,” and it is still consequential: a softer office market means weaker property cash flows means more cautious underwriting, higher provisioning, and a more defensive stance toward developers and borrowers in exposed corridors. Real estate is concentrated enough in the loan books, and IT-BPM is concentrated enough in real estate demand, that a sustained employment shift would change credit conditions before it threatened solvency.

A BPO downturn does not have to break the banks to make the financial system less useful to the wider economy. It just has to make banks more reluctant to lend at the margins: to the developer who wants to build, the small business owner who wants to expand, the family that needs to refinance. That tightening arrives quietly, without headlines. It is how a distant sectoral adjustment becomes a concrete constraint on ordinary economic life.

The household shock lands in cities that cannot absorb it

This is where the blast radius becomes hardest to see from Manila — and most important to look at.

About 30 percent of the IT-BPM workforce, roughly 420,000 people, works outside Metro Manila. In Cebu, Pampanga, and Iloilo, provincial office demand is primarily outsourcing-driven.7 In Davao, outsourcing firms accounted for roughly 54 percent of office deals in 2022. In Iloilo, the figure was above 60 percent from 2020 to 2023. These are not diversified markets where BPO is one tenant among many.89 They are markets where the sector is the anchor. It’s the largest formal private employer, the engine of the local middle class, and the reason the apartments and restaurants and transport networks exist in the form they do.

When the income base weakens in a city like that, the pressure shows up in ordinary places first. Apartments that do not fill as quickly. Weekday retail that softens. Small businesses that discover the spending around them was more dependent on BPO payroll than they realized. There is no Manila-sized diversification to cushion it — no financial sector, no government employment base, no tourism economy large enough to absorb what the outsourcing industry built. A sectoral slowdown in Iloilo does not get absorbed by the wider urban economy. It becomes the urban slowdown.

Metro Manila will feel the adjustment too, but Manila has more layers. It is the cities where outsourcing was not a story but the story (where the gleaming office parks arrived before the diversified economy that should have surrounded them) that face the sharpest exposure.

Foreign exchange and the fiscal position follow

The macro channels are the most straightforward. IT-BPM contributed roughly 64 percent of the Philippines’ services exports in 2024 and remained the country’s second-largest source of foreign exchange after remittances.1 When a country depends this heavily on one services engine for dollar inflows, any structural weakening in that engine becomes a balance-of-payments question.10

The fiscal argument follows the same logic. Weaker wage income means weaker consumption means weaker tax collections. And it happens at precisely the moment the country would need to spend more on transition, reskilling, infrastructure, and new firm formation. IMF research puts VAT elasticity with respect to consumption at roughly 0.8 to 1.0, and personal income tax elasticity with respect to GDP at roughly 0.7.11 Philippine research on local government revenues finds elasticities ranging from 0.75 to over 1.5.12 The mechanism is the same at every level of government: BPO payroll is upstream, and everything that funds public services is downstream.

The Philippines has not published a sector-specific fiscal stress test for IT-BPM. That absence is itself a data point about how seriously the structural risk is being taken.

Why the blast radius is national

None of this adds up to an imminent crisis. The banks are well-capitalized. The office market has improved from its worst vacancy readings. The sector is still growing in revenue terms. The scenario modeling underlying this series does not show a cliff — it shows a gradual thinning, a widening gap between what the headline numbers report and what the income base underneath them can sustain.

But that gradual thinning is precisely what makes the blast radius a national question rather than a sectoral one. The risk is not only fewer jobs inside BPO. It is a thinner income base under offices, apartments, retail, local services, tax collections, and dollar inflows in an economy built around the assumption that the BPO payroll would keep growing. And it is a risk that falls hardest on the places and people with the least capacity to absorb it: the provincial hubs where outsourcing was not one pillar among many but the entire foundation, and the workers and small business owners downstream of that payroll who have no formal-sector fallback when it contracts.

The Philippines built a middle class on rented labor. That was not a mistake; it was a rational bet that created real opportunity for millions of people. But the blast radius of that bet was always national, even when the upside felt local. Understanding it clearly — not panicking about it, but naming it without flinching — is the precondition for managing the transition before the window closes.

The next question is whether any country has managed this kind of transition better, and what the path forward looks like from here. That is the subject of the next piece in this series.

Footnotes

  1. ASEAN+3 Macroeconomic Research Office (AMRO), “Can the Philippines’ IT-BPM Industry Stay Ahead Amid the AI Wave?” 2024. https://amro-asia.org/can-the-philippines-it-bpm-industry-stay-ahead-amid-the-ai-wave/ ↩ ↩2 ↩3 ↩4

  2. Colliers Philippines, “IT-BPM Industry Sees Strong Growth and Strategic Shifts in 2024,” BPO Situationer Part 5, March 2025. https://www.colliers.com/en-ph/news/bpo-situationer-part-5-it-bpm-strong-growth-strategic-shift-2024 ↩ ↩2 ↩3

  3. International Monetary Fund, “Artificial Intelligence and the Philippine Labor Market: Mapping Occupational Exposure and Complementarity,” Working Paper WP/25/43, February 2025. https://www.imf.org/-/media/files/publications/wp/2025/english/wpiea2025043-print-pdf.pdf ↩

  4. Colliers Philippines, Quarterly Property Market Report: Office Q4 2025. https://www.colliers.com/en-ph/research/colliers-quarterly-property-market-report-office-q4-2025-philippines ↩

  5. Bangko Sentral ng Pilipinas, Quarterly Updates on Banking System, Q1 2025. https://www.bsp.gov.ph/Media_And_Research/Publications/QUBS-2025-Q1.pdf ↩

  6. Bangko Sentral ng Pilipinas, Discussion Paper Series No. 2025-15, “Real Estate Market Shocks and Financial Contagion.” https://www.bsp.gov.ph/Sites/researchsite/Publications/BSP-Discussion-Papers/DP202515.pdf ↩

  7. Colliers Philippines, Cebu Annual Report, October 2022; cites IBPAP provincial workforce of approximately 420,000 as of end-2021. https://www.colliers.com/download-article?itemId=b0f01212-6321-43da-9572-c99ee5db4857 ↩

  8. Colliers Philippines, Davao Market Intelligence, February 2023. https://www.colliers.com/en-ph/research/property-market-intelligence-alorica-davao-matina-ofw-remittances-villar-group-mitsubishi-estate ↩

  9. Colliers Philippines, Iloilo Market Intelligence, March 2024. https://www.colliers.com/en-ph/research/property-market-intelligence-cybergatetower3-mcibpoeastwest-smcbulacan-newmanilaairport ↩

  10. Bangko Sentral ng Pilipinas, Balance of Payments Report, Q4 2024. https://www.bsp.gov.ph/Media_And_Research/Balance%20of%20Payments%20Report/2024/BOP_4qtr2024.pdf ↩

  11. International Monetary Fund, “Philippines: Selected Issues,” Country Report No. 13/103, March 2013. Tax elasticity appendix: CIT ~1.9, PIT ~0.7, VAT ~0.8-1.0. https://www.imf.org/external/pubs/ft/scr/2013/cr13103.pdf ↩

  12. Joseph Capuno, “Income Elasticity of LGU Revenues and Expenditures Under Decentralization,” UPSE Discussion Paper 2001-02. Provincial local-source revenue elasticities 0.75-1.56. https://pre.econ.upd.edu.ph/upsedp/index.php/dp/article/download/41/35 ↩