Only 12% of Philippine IT-BPM firms currently report high AI maturity — yet more than 70% expect to reach that level by 2028. That gap is precisely why the IT and Business Process Association of the Philippines (IBPAP) said at the National AI & Skills Summit on 1 June 2026 that its three-year-old industry roadmap can no longer hold.
Baseline Targets Holding, But the Long View Has Shifted
Speaking in Manila, IBPAP President and CEO Jack Madrid said the industry is on course to meet its 2026 targets — USD 42 billion in revenue and nearly 1.97 million workers — but that the trajectory beyond this year demands fresh numbers. According to reports from the summit, Madrid told attendees that the association has been prompted to refresh its roadmap after three years, with revised projections to be shared "in a couple of weeks."
The original 2022 roadmap had projected that the sector would reach USD 59 billion in revenue and employ 2.5 million people by 2028. Those figures were written before generative AI scaled commercially. IBPAP has said the pace of AI-driven change has surpassed what its planners assumed, making the 2028 scenarios no longer reliable without a reassessment.
A USD 25M Annual Bet on Workforce Transformation
The association has committed to spending at least USD 25 million per year on upskilling, a figure that reflects the scale of the challenge. Training priorities are shifting from communication-heavy roles — the bedrock of traditional voice BPO — toward AI applications, data analytics, and knowledge-intensive functions that are harder to automate cheaply.
Every one of IBPAP's over 400 member companies maintains a dedicated learning and development team. The sector-wide push also runs through government channels: Project UNLAD, a PHP 740-million partnership with the Department of Information and Communications Technology and the Technical Education and Skills Development Authority, funnels funding into large-scale reskilling programmes for existing workers.
AI Adoption Inside the Sector
The urgency is not hypothetical. Survey data from IBPAP's own member research, presented by Jack Madrid at the 17th International IT-BPM Summit in September 2025, found that nearly half of member firms have already embedded AI into operations. That figure matters because adoption inside the sector is as much a threat to existing headcount as it is an opportunity — AI handling routine voice and data-entry tasks is the same AI that makes the traditional entry-level BPO role obsolete.
USD 42B2026 revenue target
1.97M2026 headcount target
USD 25M+annual upskilling commitment
~70%firms targeting high AI maturity by 2028
Why the Philippines Has More at Stake Than Most
The sector accounts for roughly 8% of Philippine GDP and handles about one-fifth of global outsourcing by volume. Those numbers explain why the government is co-investing in training rather than leaving the industry to manage the transition alone. A failure to move workers up the value chain fast enough does not just hurt IBPAP members — it is a macroeconomic problem.
The competitive pressure is also external. India, Vietnam, and smaller ASEAN markets are all pitching for the same AI-augmented, higher-value contracts that the Philippines is now positioning itself for. Being the incumbent at scale is an advantage, but incumbency in commodity voice work is the opposite of an asset when clients are replacing headcount with software.
What the Revised Roadmap Will Need to Answer
When IBPAP publishes its updated figures — expected within weeks — the key question will be whether the 2028 revenue and employment targets rise, fall, or split across scenarios. A sector that is simultaneously shedding lower-skilled roles and adding higher-skilled ones can post strong revenue growth while employing fewer people. Whether that trade-off lands as a success story or a displacement crisis depends on how quickly workers can be moved through retraining pipelines that are, at present, still being built.
Sarah Chen's VerdictWatch the headcount number
Revenue targets are the easier half of this story. The harder question is whether the Philippines can genuinely retrain workers at the pace AI is compressing timelines — not in a "couple of weeks," but over the next 18 months before the gap between displaced roles and new ones becomes politically visible. The USD 25M annual commitment is meaningful, but it is government co-investment through Project UNLAD that will determine whether upskilling reaches the workers who need it most, not just those already inside large enterprise training programmes.
Sources & cross-checks
Primary
Nearshore Americas — Philippines Bets $25 Million to Shield BPO Jobs From AI Disruption
Corroborated
Corroborated
Corroborated
SunStar — IBPAP to refresh 2028 roadmap amid GenAI's adoption
Verified
USD 42B/1.97M (2026 targets) — Newsbytes.ph Jan 2026; USD 59B/2.5M (2028 roadmap targets, launched IIS 2022) — SunStar, Newsbytes.ph, pinoyleader.com; USD 25M annual upskilling + Project UNLAD PHP 740M — Nearshore Americas + Newsbytes.ph Jan 2026; 12% current high AI maturity, 70% targeting high maturity by 2028, ~50% AI-embedded — Newsbytes.ph Sept 2025 (IBPAP member survey, cited by Jack Madrid at IIS 2025); over 400 IBPAP member companies — ibpap.org/about-us + SunStar; Jack Madrid as President and CEO — ibpap.org, Newsbytes.ph, SunStar; National AI & Skills Summit 2026, 1 June, Edsa Shangri-La Manila — corroborated via search record of the event; roadmap revision announcement attributed to BusinessWorld Online 1 June 2026 (HTTP 403 at time of verification — claim corroborated in cross-source search record). Verified 2 June 2026.
