Forget about the noises we usually hear about the evil of AI these days. In terms of AI adoption, the Philippines is no longer a hesitant market. Unlike other emerging economies, businesses in the Philippines are decisively moving from merely exploring the technology to actively experimenting with it.

That is the gist of the 2025 Philippine AI Report launched by my friends at Swarm, a global AI consultancy helping enterprises across Southeast Asia and beyond move from AI proofs-of-concept to production.

The report is based on a nationwide survey of 175 organizations representing a cross-section of the Philippine industry. The survey captured perspectives on AI adoption, deployment patterns, workforce impact, barriers to scale, and strategic plans for 2026.

The report further highlights that Philippine organizations are no longer debating whether to use AI. Over 92 percent have deployed AI in some capacity over the past year. More than half (54 percent) have used generative AI tools for over twelve months. Executive commitment is strong: 61 percent of organizations report C-level leadership of AI strategy.

The Philippine AI Report 2025 marks a pivotal moment for the country’s AI landscape. We are no longer in a “wait and see” phase; the data shows that we have officially crossed the adoption threshold. The conversation has shifted from “Should we use it?” to “How do we make it work at scale?” This is critical because of the perceived impact on key Philippine industries, such as the IT-BPM sector, and on how work will be done in the future.

However, a closer look at the findings reveals a paradox: while adoption is widespread, it is remarkably shallow. To move from experimentation to economic impact, the Philippines must bridge the gap between using simple AI tools and deep operational integration.

The most striking finding of the report is the prevailing “Proof-of-Concept” stall. While nearly everyone is experimenting, 65 percent of organizations remain stuck at the POC stage. Many companies are using generative AI for basic tasks—drafting emails or generating internal memos—but only 12 percent are using heavy-duty development frameworks.

This suggests that most Philippine businesses are currently “AI consumers” rather than “AI builders.” They are using the tools provided to them, but are not yet weaving AI into the architectural fabric of their core business processes. The report says that barriers are not just technical; they are structural. Talent scarcity is cited by 57 percent of leaders as the primary hurdle, followed closely by concerns over data privacy and a lack of specialized AI hardware.

The significance of this transition cannot be overstated. For a service-oriented economy like the Philippines, AI represents both a massive opportunity and a potential existential threat. If we successfully move to full-scale operational use, we can unlock unprecedented productivity. The report shows that 76 percent of employees already feel AI gives them more time for strategic work. If this is scaled across key service sectors, the Philippines could move up the value chain, evolving from a provider of manual tasks to a hub of AI-augmented high-value services.

Philippine businesses cannot scale AI on laptops and standard cloud tiers alone. The government and private sector must collaborate to provide democratized access to high-performance computing. National AI labs or “compute subsidies” for MSMEs could lower the entry barrier for local builders.

We also need to move beyond basic digital literacy. The “talent scarcity” gap will only be closed if we integrate AI engineering, data ethics, and machine learning into the national curriculum and professional development programs. We need “comb-shaped” professionals—those who have deep technical expertise paired with the soft skills to manage AI-human collaboration.

The report notes that while 61 percent of strategies are C-suite-led, only 12 percent of organizations have a dedicated AI Compliance Officer. Organizations need to move from “vibe-based” AI use to formal governance frameworks that manage bias, data lineage, and security.

One of the most vital aspects of the report is the focus on inclusivity. If AI adoption is restricted to the top 10 percent of corporations in Makati or BGC, we risk widening the AI divide. To achieve true inclusivity, the Philippines must focus on empowering MSMEs and regional democratization.

The report highlights significant activity in Metro Manila and potential in Mindanao and Cebu. Inclusivity means expanding high-speed connectivity to rural areas—as championed by the Konektadong Pinoy Act—so that a developer in Iligan has the same opportunities as one in Quezon City.

The Philippines is standing at a crossroads. We have the enthusiasm and the initial adoption rates to be a regional leader in the AI era. However, enthusiasm is not a strategy. To move to full-scale operational use, we must invest in the essential foundations: infrastructure, specialized talent, and ethical governance.

The 2025 report is a wake-up call: the threshold has been crossed, and now the real work begins.

The author is an executive member of the National Innovation Council and lead convener of the Alliance for Technology Innovators for the Nation (ATIN). ([email protected])