A Third of Philippine Businesses Now Use AI, but Only 17% Have a Plan to Scale It
An AWS-commissioned study says 32% of Philippine businesses now use AI, up from 21% a year ago. But only 17% have a roadmap to scale it, and just 19% feel ready for agentic AI. Skills remain the biggest gap. Here are the numbers that matter.
AI use among Philippine businesses grew fast over the past year, but most companies are still experimenting rather than building it into how they work. That is the picture from Unlocking the Philippines' AI Potential 2026, a study commissioned by Amazon Web Services and conducted by Strand Partners, which surveyed 1,000 business leaders and 1,000 members of the public. AWS presented it on October 14 in Bonifacio Global City, according to TechSabado, with further detail reported by Inquirer Technology and NewsBytes.PH.
Because AWS paid for the research and sells cloud and AI services, the findings are best read as a well-sized survey with a clear interest behind it, not an independent census.
The headline numbers
| Measure | 2026 study |
|---|---|
| Businesses using AI | 32% (21% a year earlier) |
| Still exploring or experimenting | 57% |
| AI fully integrated into operations | 6% |
| Formal roadmap to scale AI | 17% |
| Fully or very ready for agentic AI | 19% |
| Formal responsible AI framework | 12% |
The 21% baseline matches AWS's 2025 study, which put adoption at 250,000 businesses. The new report says adoption now covers more than 396,000 businesses, a 52% jump, according to NewsBytes.PH. Among adopters, 74% reported productivity gains and 68% said AI increased revenue.
Mostly basic use, and hard to measure
Seventy percent of adopters still mainly use basic tools such as public chatbots and ready-made productivity apps, down from 78% last year. Only 12% use advanced setups involving custom AI, multiple models or agentic systems, up from 8%. Measurement is a weak spot too: Inquirer reports that only 46% of businesses are confident they can measure AI's return on investment, and just 14% apply a clearly defined success framework consistently.
Skills are still the bottleneck
A shortage of AI and digital skills was the top barrier, cited by 47% of businesses, followed by technical or data issues (39%), lack of funds (36%) and limited workforce capacity (33%). Businesses estimated only 31% of their staff are confident with advanced AI tools, and only 24% are confident judging whether sensitive data can be processed by AI in a compliant way. That last number matters in a country where data residency rules increasingly shape where AI workloads can run.
Agentic AI is still new to most companies. Only 39% of businesses had heard of it, TechSabado reports, and among those, 6% had fully deployed it.
What to take from it
- Adoption is no longer the hard part. Turning pilots into processes with an owner, a metric and a budget is.
- Set the measure first. The report itself recommends defining business outcomes for AI projects and using the data to decide what to expand or stop.
- Train for judgment, not just tools. Respondents ranked interpreting, validating and challenging AI output as the top skill they will need.
