The Philippines placed 53rd among 70 economies in the 2026 IMD World Digital and AI Ranking, earning an overall score of 66.51 as the country faces continuing challenges in technology infrastructure, governance and access to specialised technical talent.
The assessment gives the country a mixed result: it has areas of digital capability to build on, but its performance also points to weaknesses that could make it harder for businesses and public institutions to adopt artificial intelligence productively and responsibly.
For the Philippines, the central issue is no longer simply whether organisations are experimenting with AI. It is whether they have the people, systems and safeguards to use the technology effectively.
What the 2026 IMD ranking says about Philippine AI readiness
The 2026 assessment covers 70 economies and is organised around five factors: governance, technology and infrastructure, efficiency, workforce development, and values.
The Philippines’ overall position was 53rd, with a score of 66.51. Its factor rankings show where the country performed relatively better and where its readiness remains under pressure.
| Factor | Philippines’ rank |
|---|---|
| Efficiency | 44th |
| Values | 56th |
| Technology and infrastructure | 56th |
| Workforce development | 58th |
| Governance | 57th |
Efficiency was the country’s strongest result among the five factors, while workforce development and governance ranked lower. These positions suggest that digital competitiveness cannot be judged through technology adoption alone. Institutions, skills and the ability to manage digital systems also matter.
The Philippines ranked 14th in the Asia-Pacific table, which covered 15 economies. Among the six ASEAN economies appearing in that table, it ranked behind Singapore, Malaysia, Vietnam, Thailand and Indonesia.
That regional comparison provides useful context, but it should not be read as a ranking of every ASEAN member state. The assessment covers only the economies included in its sample.
IMD redesigned its ranking around artificial intelligence
The 2026 edition is not simply a repeat of the previous digital competitiveness index. IMD rebuilt the framework and renamed it the World Digital and AI Ranking to reflect the growing importance of using AI productively, governing it responsibly and maintaining public trust.
Its country-level assessment uses 88 criteria grouped into 15 sub-factors and five main factors. The criteria combine statistical information with survey responses from senior business leaders. IMD’s methodology assigns two-thirds of the overall ranking weight to hard data and one-third to survey-based information.
This distinction matters when interpreting changes in the Philippines’ position. The IMD country profile displays a three-place improvement, but the redesigned framework means readers should avoid treating the movement as a straightforward like-for-like measure of progress under an unchanged index.
The new approach also makes the ranking broader than a simple measure of internet access or the number of companies using AI. It considers the conditions that allow digital technologies to be adopted, integrated and governed.
Technical talent is a major reported barrier
One of the report’s notable findings concerns the availability of skilled technical workers. In the Philippines, 63.8% of survey respondents identified a lack of technical talent as a barrier to implementing and maintaining AI systems.
That figure needs careful interpretation. It represents the share of respondents selecting technical talent as an obstacle. It does not mean that 63.8% of Filipino workers lack AI skills, nor does it measure the percentage of companies with unfilled technical positions.
The finding nevertheless points to a practical business challenge. AI systems require more than access to software. Organisations need people who can identify appropriate applications, prepare and manage data, connect AI tools with existing systems, monitor performance and address security risks.
The issue is relevant to the country’s wider technology workforce. In a separate development, Amihan Global Strategies’ planned investment in training Filipino AI engineers illustrates how private-sector training initiatives are seeking to develop more specialised capabilities. Such programmes may contribute to the talent pipeline, although one company’s initiative cannot by itself resolve a nationwide skills challenge.
Infrastructure and governance remain part of the equation
A country can have skilled professionals and businesses interested in AI, but adoption also depends on reliable infrastructure and sound institutional practices.
The Philippines’ factor rankings show that technology and infrastructure placed 56th, while governance ranked 57th. These results highlight areas that deserve attention alongside workforce development.
For businesses, digital infrastructure includes the networks, computing resources and systems needed to run applications reliably. For public institutions, the challenge also involves having the capacity to procure, manage and oversee digital systems.
AI adoption brings additional responsibilities. Organisations must consider what information their systems can access, how sensitive data is protected, how outputs are checked and who remains accountable when automated tools make mistakes.
The infrastructure question also extends to energy and data facilities. The exploration of renewable-powered data centres by MGEN and VITRO illustrates the relationship between computing capacity and dependable power. The project was reported as exploratory, not as a completed development.
Public institutions face their own readiness issues. Research and reporting on Philippine local government AI preparedness has highlighted the importance of technical skills, connectivity, funding and institutional planning before local governments can make effective use of advanced digital tools.
What the ranking could mean for Filipino businesses and workers
The results do not establish that the Philippines will lose investment or that AI will automatically displace a particular number of workers. They are an assessment of national digital and AI readiness, not a forecast of employment outcomes.
However, the findings give businesses and policymakers a practical set of issues to address. Employers may need to invest in training that matches actual workplace requirements, while schools and training institutions can strengthen pathways into software development, data management, cybersecurity and AI system implementation.
Smaller companies may also need accessible ways to test AI tools without taking on costs or risks they cannot manage. Public agencies, meanwhile, need reliable systems, clear governance arrangements and staff capable of evaluating technology before it is deployed.
The Philippines has existing digital and technology capabilities. The challenge is to connect those strengths with better infrastructure, a deeper technical talent pool and stronger safeguards. That combination will matter more than simply counting how many organisations have started using AI.
What happens next
The next measure of progress should be practical rather than promotional: whether more workers gain relevant technical skills, whether businesses can adopt useful systems, whether digital infrastructure becomes more dependable and whether institutions can govern AI responsibly.
The IMD ranking offers a benchmark, but it does not prescribe a single policy or guarantee that any particular intervention will improve the country’s position. The Philippines’ response will depend on sustained work across government, education and industry.
For now, the 53rd-place result is both a sign of existing capability and a reminder that digital competitiveness requires more than access to new technology.
Frequently asked questions
What is the Philippines’ rank in the 2026 IMD World Digital and AI Ranking?
The Philippines ranked 53rd out of 70 economies and received an overall score of 66.51.
What does the 63.8% technical-talent figure mean?
It means 63.8% of surveyed Philippine respondents identified a lack of technical talent as a barrier to implementing and maintaining AI systems. It is not a measurement of the entire Filipino workforce.
What are the five factors in the IMD ranking?
The five factors are governance, technology and infrastructure, efficiency, workforce development, and values.
Why did IMD change the name and framework of its ranking?
IMD rebuilt the assessment for 2026 to examine how economies and companies can use artificial intelligence productively, govern it responsibly and maintain trust.
Does the ranking mean AI will replace Filipino workers?
No. The ranking measures digital and AI readiness. It does not predict a specific number of job losses or establish that AI will replace Filipino workers.
