Coordinating the Philippines’ AI Future: Inside the Push for a National AI Task Force
Manila just moved a step closer to a national game plan for AI — and this week’s headlines show why the timing matters.
The Weekly Headline: Philippines Pushes for a National AI Task Force as DOST Aims to Upskill a Million Filipinos
A Coordinated Push, Finally
For years, AI initiatives in the Philippines have popped up in silos — a pilot here, a roadmap there, a task force proposal that quietly fizzled. That may be changing. This month, the Private Sector Advisory Council (PSAC) formally urged President Marcos to create a National AI Implementation Taskforce, presenting the proposal during the fifth meeting of the PSAC Education and Jobs Sector Group at Malacañang. The president reportedly agreed to the idea in principle, though he wants more private-sector input before it’s finalized.
The proposed taskforce would organize around three pillars: education and workforce development, technology and infrastructure (including R&D), and policy and governance. PSAC has also recommended releasing P650 million from the Higher Education Development Fund specifically to fund AI upskilling programs in colleges and universities next year.
DOST’s Million-Worker Bet
The taskforce proposal lands alongside a concrete number from the Department of Science and Technology: DOST is targeting the upskilling of one million Filipino workers in AI by the end of the Marcos administration in 2028. Secretary Renato Solidum Jr. has framed workforce development as one of four pillars of the government’s broader AI strategy, with DOST coordinating alongside TESDA and CHED to weave AI training into technical and higher education. A smaller, more specialized track aims to produce around 1,000 advanced AI researchers and engineers through funded graduate studies.
Put those two stories together and a pattern emerges: the debate in Philippine AI policy is no longer “should we do this” — it’s “who coordinates it, and how fast can we scale training without leaving people behind.”
Why the Coordination Problem Actually Matters
Skeptics might read a new taskforce as another layer of bureaucracy. But the PSAC’s own framing is telling: the goal is explicitly to fix “fragmented implementation,” where government agencies, private companies, and universities have been building overlapping AI programs without a shared playbook. A single coordinating body doesn’t guarantee results, but the alternative — every agency running its own AI pilot in isolation — is a recipe for wasted funding and mixed messaging to the public.
This is exactly the kind of systems-level thinking that ethics and governance advocates in the Philippine AI community have been pushing for. Groups like the Philippine AI Business Association, where Doc Ligot serves as Director for AI Ethics and Data Governance, have long argued that upskilling without governance guardrails just accelerates risk. Training a million people to use AI tools is only half the job if there’s no shared framework for using them responsibly.
AI isn’t coming. It’s here.
The Philippines isn’t debating whether AI belongs in classrooms, call centers, or government offices anymore. It’s negotiating who’s in charge of making sure the rollout is coordinated, funded, and grounded in ethics rather than hype. That negotiation is happening right now, in real meetings, with real budget numbers attached.
Further Reading:
- Private sector, government partner in AI task force – Philstar.com
- DOST targets 1 million Filipinos for AI upskilling – Philstar Tech
- PSAC urges AI task force to prepare future workforce – Context.ph
If national AI governance and ethics is a topic you want to go deeper on, Doc Ligot — the featured speaker at AI Talks @ Younifest — covers exactly this territory in his upcoming webinars. Details at aitalks.younifest.com.
About Doc Ligot:
Dominic “Doc” Ligot is one of the leading voices in AI in the Philippines. Doc has been extensively cited in local and global media outlets including The Economist, South China Morning Post, Washington Post, and Agence France Presse. His award-winning work has been recognized and published by prestigious organizations such as NASA, Data.org, Digital Public Goods Alliance, the Group on Earth Observations (GEO), the United Nations Development Programme (UNDP), the World Health Organization (WHO), and UNICEF.
If you need guidance or training in maximizing AI for your career or business, reach out to Doc via https://docligot.com.
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