Philippine AI statistics — sourced, dated, in one place
Every number on this page links to its source and says exactly what population it measures. Compiled by Jerry Ilao for journalists, researchers, business leaders, speakers, and students.
Last reviewed: November 2026 · Latest data update: November 2026 (a review checks sources and wording; the data date only moves when a new dataset lands)
How far have Philippine businesses progressed with AI? Jerry Ilao's 4A Assessment offers a closer look, from companies that have not started using AI to those applying Assistants, Automation, Agents and AI-First approaches under The 4A Blueprint. The latest findings show that most participating businesses and teams remain at the Assistants stage. This page brings that original research together with credible Philippine and international studies, so business leaders can see adoption, readiness, opportunities and challenges in one place.
Where Businesses and Teams Stand on AI Adoption
Source: Jerry Ilao's 4A AI Assessment, August–October 2026
Nearly 1 in 5 haven't started using AI, while 68% are at the AI Assistants stage. Only 14% have reached Automation or Agents.
Source: Jerry Ilao's 4A AI Assessment | 151 valid business and team assessments | August–October 2026. Results reflect voluntary assessments by participating businesses and teams, not a nationally representative survey.
If you only cite five figures, cite these
At Level 1, AI Assistants (2026)
Most assessed businesses and teams use AI mainly through assistants that help people with their own tasks. Relatively few have reached automation or agents.
Original research · Jerry Ilao Source: Jerry Ilao's 4A AI Assessment 2026
Have no AI rules (2026)
Among assessed businesses and teams already using AI for work, six in ten have no rules for it: no approved tools, no off-limits data, no review step.
Original research · Jerry Ilao Source: Jerry Ilao's 4A AI Assessment 2026
Consistently measure AI results (2026)
Only a small share of those who answered the measurement question regularly track what their AI use delivers. Most can feel the difference but cannot show it.
Original research · Jerry Ilao Source: Jerry Ilao's 4A AI Assessment 2026
Of AI-adopting businesses focus on basic applications (2026)
Among Philippine businesses already using AI, seven in ten stay with basic uses: public chatbots, routine productivity tools and ready-made AI solutions. A share of AI adopters, not of all businesses, and not the same thing as Level 1 of the 4A Blueprint.
Organizational survey Source: AWS / Strand Partners, Unlocking the Philippines' AI Potential 2026 (via Philippine News Agency)
Have a formal AI scaling roadmap (2026)
Of Philippine businesses surveyed, only 17% have a roadmap for scaling AI across their operations; 57% are still exploring or experimenting. Moving from individual experiments to coordinated implementation is the hard step.
Organizational survey Source: AWS / Strand Partners, Unlocking the Philippines' AI Potential 2026 (via Inquirer Technology)
Which side of the gap is your business on?
Most assessed businesses are still at the Assistants stage, six in ten have no AI rules, and few measure results. The free assessment tells you where your business sits, in 5 minutes.
All statistics at a glance
Machine-readable summary of every figure on this page. Each row links to its original source; the "what it measures" column is the caveat — read it before quoting.
| Topic | Statistic | Data / survey year | What it measures | Source |
|---|---|---|---|---|
| Original research: 4A Assessment | 86% | 2026 | are at Level 1 or below: AI helps individuals with their own tasks, or is not used for work yet. Nothing runs on it. | Jerry Ilao's 4A AI Assessment (2026) |
| Original research: 4A Assessment | 14% | 2026 | have AI running inside a workflow or a defined job: 11% at Level 2, Automation, and 3% at Level 3, Agents. None at Level 4. | Jerry Ilao's 4A AI Assessment (2026) |
| Original research: 4A Assessment | 60% | 2026 | of those already using AI for work have no AI rules: no approved tools, no off-limits data, no review step. Only 11% have a written policy. | Jerry Ilao's 4A AI Assessment (2026) |
| Original research: 4A Assessment | 11% | 2026 | consistently track or measure the results of their AI use. Most can feel the difference but cannot show it. | Jerry Ilao's 4A AI Assessment (2026) |
| Business adoption | 32% | 2026 | of Philippine businesses surveyed use AI, up from 21% a year earlier. Only 6% say AI is fully integrated into their operations. | AWS / Strand Partners, Unlocking the Philippines' AI Potential 2026 (via Philippine News Agency) |
| Business adoption | 70% | 2026 | of AI-adopting businesses focus on basic applications: public chatbots, routine productivity tools and ready-made AI solutions. 18% have integrated AI across several functions and 12% use custom, combined or agentic AI. | AWS / Strand Partners, Unlocking the Philippines' AI Potential 2026 (via Philippine News Agency) |
| Business adoption | 17% | 2026 | of Philippine businesses have a formal roadmap for scaling AI across their operations; 57% are still exploring or experimenting. | AWS / Strand Partners, Unlocking the Philippines' AI Potential 2026 (via Inquirer Technology) |
| Business adoption | 14.9% | 2021 research | of Philippine firms used AI and machine-learning technologies, with adoption concentrated in large urban companies. An older, pre-2021 baseline. | Albert et al. (2021), cited in PIDS Discussion Paper 2024-35 (Quimba, Moreno & Salazar) |
| Business adoption | ~1 in 5 | 2021 research | Philippine firms are even aware of AI and other Fourth Industrial Revolution technologies. | Albert et al. (2021), cited in PIDS Discussion Paper 2024-35 |
| Business adoption | 3.02% | 2021 data | overall AI adoption rate across all industries. BPO and ICT lead at roughly 6–7%; agriculture trails at about 1.5%; large firms sit at 5.3%. | PIDS Survey of Innovation Activities (2021), in PIDS Discussion Paper 2024-35 |
| Business adoption | 90.8% | 2021 data | of Philippine establishments own computers and 81% have internet access — the infrastructure is there; the adoption is not. | Philippine Statistics Authority 2021 SICT, cited in PIDS Discussion Paper 2024-35 |
| Business adoption | 12th of 12 | 2023 | the Philippines’ rank in the 2023 Asia-Pacific AI Readiness Index, scoring 35.7 out of 100 across 12 economies. | Salesforce — Asia Pacific AI Readiness Index 2023 |
| Business adoption | 92% | 2025 | of surveyed Philippine organizations have used AI in some capacity — yet 65% remain at the proof-of-concept stage. | Swarm — The Philippine AI Report 2025 |
| Business adoption | 61% | 2025 | of surveyed organizations report that CEOs, CTOs, or equivalent senior leaders directly lead AI initiatives; 84% report zero AI-related layoffs during adoption. | Swarm — The Philippine AI Report 2025 |
| Business adoption | 17% | 2026 | of Philippine employers consider their organizations digitally mature, even as 9 in 10 say they are building cultures that embrace technological change. | Lark — The Paradox of Progress (SEA workplace study), via GMA News |
| Business adoption | 67% | 2024 | of surveyed IBPAP member firms already use AI in customer service, data entry, and quality assurance. 8% reported workforce reductions attributed to AI — while 13% reported headcount increases. | IBPAP member survey — IT-BPM Adoption of Artificial Intelligence (Ligot et al.) |
| Workers & skills | 86% | 2024 | of surveyed Filipino knowledge workers use generative AI at work — above the Asia-Pacific (83%) and global (75%) averages. | Microsoft & LinkedIn Work Trend Index 2024 (Philippine findings) |
| Workers & skills | 25% | 2026 | of Filipino workers qualify as "Frontier Professionals" — comfortable delegating real work to AI — versus 16% globally; 77% of Filipino AI users say they now produce work they couldn’t a year ago (58% globally). | Microsoft Work Trend Index 2026 (Philippine findings) |
| Workers & skills | 46% | 2024 | of surveyed Filipino workers use generative AI at least monthly — above the Southeast Asian average (44%) and the global average (39%). | Jobstreet by SEEK, Boston Consulting Group & The Network — Decoding Global Talent |
| Workers & skills | ~1 in 3 | 2025 | Philippine workers are highly exposed to AI; around 60% of those are in roles highly complementary to AI, indicating productivity gains rather than pure displacement. BPO is identified as the sector with the highest proportion of jobs at risk of displacement. | IMF Working Paper 25/43 — AI and the Philippine Labor Market (Cucio & Hennig) |
| Workers & skills | 35–37% | 2025 | of Philippine jobs are estimated to be exposed to AI risks. | World Bank economists (Future Jobs report presentation), via BusinessWorld |
| Workers & skills | Top 5 | 2024 | the Philippines is among five middle-income countries — with Brazil, India, Indonesia, and Mexico — showing outsized generative-AI traffic; BusinessWorld reported its March 2024 ChatGPT-traffic rank as 4th globally. | World Bank, via BusinessWorld |
| Workers & skills | 65% | 2026 | of Filipino employees worry AI could eventually make their jobs obsolete; only 15% believe their organizations are highly transparent about how AI is being implemented. | Lark — The Paradox of Progress (SEA workplace study), via GMA News |
| Economy & policy | $79.3B | 2023 | in productive capacity that generative AI could unlock for the Philippines by 2030 — equivalent to about one-fifth of the country’s 2022 GDP. | Access Partnership — The Economic Impact of Generative AI (Ng et al., 2023), cited in IMF WP/25/43 |
| Economy & policy | 39% | 2026 | drop in jobs outsourced to developing economies in 2025, per the World Bank’s World Development Report 2026 — which names the Philippines one of the economies most exposed to generative AI because of its reliance on the BPO industry. | World Bank — World Development Report 2026: The Promise of Artificial Intelligence, via Manila Bulletin |
| Economy & policy | 19 | 2025 | AI-related bills pending in the Philippine Congress as of the report — a fragmented policy landscape awaiting a national coordinating body. | Swarm — The Philippine AI Report 2025 |
| Economy & policy | No AI law yet | 2026 | as of August 2026 the Philippines has no national AI law; the House has been consolidating roughly 26 AI-related bills into a draft Artificial Intelligence Development and Regulation Act. | Philstar / Rappler reporting on the 20th Congress |
| Economy & policy | 2025–2034 | 2025 | the span of the Trabaho Para sa Bayan Plan, which includes a research agenda on AI’s impact on labor demand across industries, roles, and skill levels. | DEPDev / DTI / DOLE, via BusinessWorld |
Original research: 4A Assessment
What Philippine businesses and teams reported about their own AI use in Jerry Ilao's 4A AI Assessment, August–October 2026.
are at Level 1 or below: AI helps individuals with their own tasks, or is not used for work yet. Nothing runs on it.
What it measures: Original research: voluntary respondents to the free 4A assessment, not a nationally representative survey.
Original research · Jerry Ilao Source: Jerry Ilao's 4A AI Assessment (2026) · 2026
have AI running inside a workflow or a defined job: 11% at Level 2, Automation, and 3% at Level 3, Agents. None at Level 4.
What it measures: Original research: voluntary respondents to the free 4A assessment, not a nationally representative survey.
Original research · Jerry Ilao Source: Jerry Ilao's 4A AI Assessment (2026) · 2026
of those already using AI for work have no AI rules: no approved tools, no off-limits data, no review step. Only 11% have a written policy.
What it measures: Original research: voluntary respondents to the free 4A assessment, not a nationally representative survey. Of the 124 assessed businesses and teams already using AI for work.
Original research · Jerry Ilao Source: Jerry Ilao's 4A AI Assessment (2026) · 2026
consistently track or measure the results of their AI use. Most can feel the difference but cannot show it.
What it measures: Original research: voluntary respondents to the free 4A assessment, not a nationally representative survey. From the 135 responses to the measurement question.
Original research · Jerry Ilao Source: Jerry Ilao's 4A AI Assessment (2026) · 2026
Business adoption
How many Philippine businesses use AI at all: the newest business-leader survey first, then the older economy-wide baselines. These studies measure the prevalence of AI adoption among businesses. The 4A Assessment above measures something else, how far AI runs inside participating organizations and teams, so its figures are not comparable with the percentages here.
of Philippine businesses surveyed use AI, up from 21% a year earlier. Only 6% say AI is fully integrated into their operations.
What it measures: Survey of 1,000 Philippine business leaders across company sizes, sectors and regions, commissioned by AWS and conducted by Strand Partners (released October 14, 2026). A vendor-commissioned business-leader survey, not an official establishment census.
Organizational survey Source: AWS / Strand Partners, Unlocking the Philippines' AI Potential 2026 (via Philippine News Agency) · 2026
of AI-adopting businesses focus on basic applications: public chatbots, routine productivity tools and ready-made AI solutions. 18% have integrated AI across several functions and 12% use custom, combined or agentic AI.
What it measures: Share of the businesses already using AI in the same AWS / Strand Partners survey, not of all businesses. "Basic applications" is the study's own category and does not map onto Level 1 of the 4A Blueprint.
Organizational survey Source: AWS / Strand Partners, Unlocking the Philippines' AI Potential 2026 (via Philippine News Agency) · 2026
of Philippine businesses have a formal roadmap for scaling AI across their operations; 57% are still exploring or experimenting.
What it measures: Same AWS / Strand Partners survey of 1,000 business leaders; share of all businesses surveyed.
Organizational survey Source: AWS / Strand Partners, Unlocking the Philippines' AI Potential 2026 (via Inquirer Technology) · 2026
of Philippine firms used AI and machine-learning technologies, with adoption concentrated in large urban companies. An older, pre-2021 baseline.
What it measures: Economy-wide firm survey (Albert et al., 2021, cited in the PIDS AI-readiness paper) — the most representative sampling on this page, but the underlying data predates 2021; read it as the historical baseline, not the current rate.
Economy-wide firm data Source: Albert et al. (2021), cited in PIDS Discussion Paper 2024-35 (Quimba, Moreno & Salazar) · 2021 research
Philippine firms are even aware of AI and other Fourth Industrial Revolution technologies.
What it measures: Same Albert et al. (2021) firm survey as the 14.9% figure.
Economy-wide firm data Source: Albert et al. (2021), cited in PIDS Discussion Paper 2024-35 · 2021 research
overall AI adoption rate across all industries. BPO and ICT lead at roughly 6–7%; agriculture trails at about 1.5%; large firms sit at 5.3%.
What it measures: 2021 PIDS Survey of Innovation Activities of establishments — a 2021 baseline, older and broader than the 14.9% figure, which is why the two differ.
Economy-wide firm data Source: PIDS Survey of Innovation Activities (2021), in PIDS Discussion Paper 2024-35 · 2021 data
of Philippine establishments own computers and 81% have internet access — the infrastructure is there; the adoption is not.
What it measures: PSA 2021 Survey on ICT (SICT) establishment data, published 2024.
Economy-wide firm data Source: Philippine Statistics Authority 2021 SICT, cited in PIDS Discussion Paper 2024-35 · 2021 data
the Philippines’ rank in the 2023 Asia-Pacific AI Readiness Index, scoring 35.7 out of 100 across 12 economies.
What it measures: A vendor-published composite index (Salesforce), now three years old — useful as a historical benchmark, not a current reading.
Economy-wide firm data Source: Salesforce — Asia Pacific AI Readiness Index 2023 · 2023
of surveyed Philippine organizations have used AI in some capacity — yet 65% remain at the proof-of-concept stage.
What it measures: Vendor survey of 175 organizations (fieldwork October–November 2025); the report itself notes the sample skews toward tech and smaller organizations (55% under 100 employees). Reads as "of AI-active organizations", not "of all Philippine businesses".
Organizational survey Source: Swarm — The Philippine AI Report 2025 · 2025
of surveyed organizations report that CEOs, CTOs, or equivalent senior leaders directly lead AI initiatives; 84% report zero AI-related layoffs during adoption.
What it measures: Same 175-organization survey as above.
Organizational survey Source: Swarm — The Philippine AI Report 2025 · 2025
of Philippine employers consider their organizations digitally mature, even as 9 in 10 say they are building cultures that embrace technological change.
What it measures: Regional workplace survey by Lark ("The Paradox of Progress"): 900 employers and 5,000+ employees across six Southeast Asian countries. Vendor study.
Organizational survey Source: Lark — The Paradox of Progress (SEA workplace study), via GMA News · 2026
of surveyed IBPAP member firms already use AI in customer service, data entry, and quality assurance. 8% reported workforce reductions attributed to AI — while 13% reported headcount increases.
What it measures: Industry-association member survey — IT-BPM firms only (2024 mid-year survey).
Organizational survey Source: IBPAP member survey — IT-BPM Adoption of Artificial Intelligence (Ligot et al.) · 2024
Workers & skills
Filipino workers are ahead of their organizations: individual use outpaces global averages while formal training lags.
of surveyed Filipino knowledge workers use generative AI at work — above the Asia-Pacific (83%) and global (75%) averages.
What it measures: Knowledge-worker survey (31,000 respondents across 31 countries, vendor-commissioned) — individual usage, not organizational adoption.
Employee survey Source: Microsoft & LinkedIn Work Trend Index 2024 (Philippine findings) · 2024
of Filipino workers qualify as "Frontier Professionals" — comfortable delegating real work to AI — versus 16% globally; 77% of Filipino AI users say they now produce work they couldn’t a year ago (58% globally).
What it measures: The 2026 follow-up to the Work Trend Index — same vendor-survey caveats as the 2024 edition.
Employee survey Source: Microsoft Work Trend Index 2026 (Philippine findings) · 2026
of surveyed Filipino workers use generative AI at least monthly — above the Southeast Asian average (44%) and the global average (39%).
What it measures: 6,400+ Filipino respondents in a ~150,000-respondent global talent survey; online panel, self-reported.
Employee survey Source: Jobstreet by SEEK, Boston Consulting Group & The Network — Decoding Global Talent · 2024
Philippine workers are highly exposed to AI; around 60% of those are in roles highly complementary to AI, indicating productivity gains rather than pure displacement. BPO is identified as the sector with the highest proportion of jobs at risk of displacement.
What it measures: Occupational-exposure mapping of PSA Labor Force Survey microdata (October 2022 round) — analytical estimates, not a worker survey.
Economy-wide firm data Source: IMF Working Paper 25/43 — AI and the Philippine Labor Market (Cucio & Hennig) · 2025
of Philippine jobs are estimated to be exposed to AI risks.
What it measures: Exposure means tasks AI could significantly affect — not predicted job losses. The estimate was given by World Bank economists at the Philippine presentation of the 2025 Future Jobs report, as reported by BusinessWorld; it does not appear verbatim in the report text.
Economy-wide firm data Source: World Bank economists (Future Jobs report presentation), via BusinessWorld · 2025
the Philippines is among five middle-income countries — with Brazil, India, Indonesia, and Mexico — showing outsized generative-AI traffic; BusinessWorld reported its March 2024 ChatGPT-traffic rank as 4th globally.
What it measures: Traffic/usage data cited in World Bank materials — a usage indicator, not an adoption statistic.
Employee survey Source: World Bank, via BusinessWorld · 2024
of Filipino employees worry AI could eventually make their jobs obsolete; only 15% believe their organizations are highly transparent about how AI is being implemented.
What it measures: Employee responses within the six-country Lark workplace survey ("The Paradox of Progress"). Vendor study.
Employee survey Source: Lark — The Paradox of Progress (SEA workplace study), via GMA News · 2026
Economy & policy
The upside being modeled, and what government is doing about it.
in productive capacity that generative AI could unlock for the Philippines by 2030 — equivalent to about one-fifth of the country’s 2022 GDP.
What it measures: A consultancy forecast by Access Partnership (Ng et al., 2023) — modeled potential, not observed output, and not an IMF finding; the IMF working paper cites it.
Economic forecast Source: Access Partnership — The Economic Impact of Generative AI (Ng et al., 2023), cited in IMF WP/25/43 · 2023
drop in jobs outsourced to developing economies in 2025, per the World Bank’s World Development Report 2026 — which names the Philippines one of the economies most exposed to generative AI because of its reliance on the BPO industry.
What it measures: From the World Bank’s flagship 2026 report as reported by Manila Bulletin; consult the WDR itself before quoting derived figures.
Economy-wide firm data Source: World Bank — World Development Report 2026: The Promise of Artificial Intelligence, via Manila Bulletin · 2026
AI-related bills pending in the Philippine Congress as of the report — a fragmented policy landscape awaiting a national coordinating body.
What it measures: A policy-mapping count by the report authors, not a survey result.
Policy Source: Swarm — The Philippine AI Report 2025 · 2025
as of August 2026 the Philippines has no national AI law; the House has been consolidating roughly 26 AI-related bills into a draft Artificial Intelligence Development and Regulation Act.
What it measures: Legislative status as reported by Philstar and Rappler — a moving target; check current status before citing.
Policy Source: Philstar / Rappler reporting on the 20th Congress · 2026
the span of the Trabaho Para sa Bayan Plan, which includes a research agenda on AI’s impact on labor demand across industries, roles, and skill levels.
Policy Source: DEPDev / DTI / DOLE, via BusinessWorld · 2025
Three kinds of studies, three kinds of numbers
Philippine AI adoption figures range from ~3% to over 92% — and none of them are wrong. They measure different populations, in different years, with different questions. These figures should not be interpreted as competing estimates of one national AI adoption rate.
Economy-wide establishment research
PIDS and PSA-based business data sample the whole economy — including the sari-sari store and the farm cooperative. This is where the 14.9% and ~3% (2021) baselines come from. Most representative; slowest to update, and now five years old.
Business-leader surveys
The AWS / Strand Partners study asks 1,000 business leaders whether their business uses AI. Current and broad, but a commissioned survey, not a census. This is where the 32% adoption rate, the 70% basic-use figure and the 17% roadmap figure come from. It measures how many businesses use AI; the 4A Assessment measures how far AI runs in the ones that do.
AI-active organizational surveys
Surveys like Swarm’s Philippine AI Report reach organizations already exploring AI, and often skew toward technology firms. This is where "92% have used AI" and "65% stuck at proof-of-concept" come from. They describe the AI-engaged segment, not the whole economy.
Original assessment data (this site)
The 4A Assessment figures come from people who chose to assess their own business or team, so they describe businesses already interested in AI, not the whole economy. It asks a different question from the surveys above: not whether AI is used, but how far it runs, under what rules, and whether anyone measures it.
Employee and professional surveys
Studies like the Microsoft & LinkedIn Work Trend Index measure individuals — whether a worker personally uses AI, regardless of whether their employer has any formal program. This is where 86% comes from.
Reading the three together tells the real story: individual, informal AI use is widespread; among organizations engaging with AI, most surveyed remained at proof-of-concept stage (Swarm, 2025); and economy-wide, formal adoption is still the exception. In other words, Filipino workers are ahead of Filipino organizations.
That gap — between using AI and running on it — is what The 4A Blueprint by Jerry Ilao gives businesses a vocabulary for. The free assessment locates a specific business’s position; for choosing capability-building, see the comparison of AI training options in the Philippines; for choosing external strategy support, see the comparison of AI consultants in the Philippines.
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Common questions about AI in the Philippines
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Citing this page
Free to cite in articles, research, presentations, and training materials with attribution:
Ilao, J. (2026). Philippine AI Statistics 2026: Adoption, Workers, Business & Economy. JerryIlao.com. Accessed [date]. When referencing a specific statistic, please also cite the original research source listed beside it — the researchers who produced the number deserve the citation more than this page does.
Journalists and researchers: for commentary or the underlying source list, send a press inquiry. Spotted a newer figure? Send it — this page is maintained.
How this page is maintained
Review cadence: quarterly. Last reviewed November 2026; latest data update November 2026. A review re-checks sources, wording, and links; the data date moves only when a new dataset is added.
Inclusion criteria: a statistic appears here only if it is Philippine-specific, attributable to a named original source, and dated. Preference order: Philippine government and official statistics; primary research reports; original institutional surveys; World Bank / IMF and comparable institutions; clearly documented private-sector research. Vendor-sponsored research is labeled with its sponsor and methodology.
Survey findings are never presented as national statistics. Every figure carries a population label (economy-wide firm data, organizational survey, employee survey, or forecast) and a "what it measures" note where the distinction matters.
Corrections: errors are fixed as soon as they are verified, and superseded figures are replaced (history stays in the page’s public archive). To report one, send the correction with the source.