The Department of Science and Technology (DOST) is set to formally launch the National Artificial Intelligence Center for Research and Innovation (NAICRI) on Feb. 26, establishing what it describes as the country’s central institution for artificial intelligence research, advanced computing, and innovation.
More than 60 percent of enterprises across the Asia-Pacific region plan to increase investments in sovereign cloud and artificial intelligence over the next two years, driven largely by national security requirements, data protection rules, and digital-sovereignty goals, according to new research from Accenture.
Government officials, industry leaders, and academic stakeholders are calling for the Philippines to move beyond simply using artificial intelligence technologies and instead develop its own AI capabilities, warning that failure to do so could deepen the country’s digital and economic vulnerabilities.
TCL gathered its commercial air-conditioning partners in Manila earlier this month to present new AI-driven heating, ventilation, and air-conditioning (HVAC) solutions and outline its expansion plans in the Philippine market.
Asean’s digital economy is projected to grow from $300 billion to $1 trillion by 2030, making AI readiness a strategic priority for member states, including the Philippines.
As artificial intelligence and digital platforms reshape how Filipinos work and learn, conversations around productivity, ambition, and mental health are moving into sharper focus.
Indian retail technology firm Fynd has entered the Philippine market as part of its broader expansion across Southeast Asia, bringing its AI-driven commerce and supply-chain software to local retailers and logistics operators.
The Department of Education is stepping up regional collaboration with Southeast Asian counterparts to accelerate the adoption of artificial intelligence–driven digital infrastructure in basic education, framing technology as a practical tool to improve learning outcomes and reduce teachers’ administrative workload.
With many organizations aiming to shift their artificial intelligence (AI) projects from experimentation into implementation at scale, the challenge in 2026 will be how quickly they can scale pilots into systems that hold up under daily pressure.
