AI adoption in the Philippines is moving beyond experimentation, but many businesses are still struggling to turn pilot projects into systems embedded across their operations.
More than half of Philippine organizations using AI remain at the pilot or proof-of-concept stage, according to a Philippine AI report cited by Kickstart Ventures. Only 12% are building AI capabilities, highlighting the gap between trying AI tools and developing the infrastructure needed for wider deployment.
Kickstart Ventures, the corporate venture capital arm of the Gokongwei Group, sees closer collaboration between startups and corporations as one way businesses can accelerate that transition.
AI adoption faces a scaling problem
The gap matters as Philippine companies look to capture the economic value that AI could generate.
The United Nations Development Programme estimates that AI could unlock US$50.7 billion in economic value for Philippine businesses by 2030.
Mike Maté, General Partner at Kickstart Ventures, said partnerships between startups and established companies can help businesses identify practical applications and move them into operations.
“This trend reinforces the critical role that partnerships between startups and corporates play in driving innovation and growth,” Maté said. “Corporations that engage with startups are often among the first to discover practical AI applications that could strengthen their competitive position.”
Rather than treating AI as another standalone software tool, Maté said investors are increasingly interested in startups that redesign business capabilities around AI.
Startups can help companies build AI capabilities
Kickstart points to the relatively small share of Philippine organizations building their own AI capabilities as an opportunity for startup partnerships.
For large companies, particularly conglomerates operating across multiple industries, maintaining greater control over AI infrastructure can allow them to tailor deployments to their specific operations while retaining control over data, models, and long-term AI strategies.
One example is Featherless AI, a serverless inference platform that simplifies the deployment of open-source AI models at scale.
By reducing some of the technical complexity involved in deploying these models, platforms like Featherless AI can allow enterprise teams to focus more on building and implementing AI applications.
The broader shift is also moving AI closer to the systems employees already use. AI agents can operate continuously across workflows, augment employees, and reduce manual bottlenecks rather than simply automate isolated tasks.
AI agents enter everyday workplace workflows
AI adoption is also becoming more visible in day-to-day work.
A 2026 Salesforce survey cited by Kickstart found that 76% of Filipino knowledge workers had interacted with or used agentic AI at work, while 45% expected these tools to improve their performance beyond basic automation.
That shift puts greater emphasis on AI’s ability to augment workers rather than simply replace repetitive tasks.
Sprout Solutions, a Philippine B2B SaaS company, is taking this approach by embedding automation and AI across the employee lifecycle. The company has moved from AI-enhanced HR tools toward integrating AI directly into the systems businesses use to manage their workforce.
This can help organizations automate routine processes while allowing employees to spend more time on higher-value work.
AI can make enterprise knowledge more accessible
Another potential use of AI is helping businesses turn fragmented institutional knowledge into information that employees can access and act on.
Kickstart cites ORCA by Lydia AI, a solution-intelligence platform designed to integrate information and domain expertise across complex enterprise environments.
The approach can help organizations use data and institutional knowledge to support decision-making and execution instead of leaving information isolated across departments.
For businesses, this represents a broader shift in how AI is being deployed: from individual productivity tools toward systems that become part of core operations.
Startup-corporate partnerships could accelerate adoption
The examples point to a common challenge for Philippine businesses: having access to AI technology does not necessarily mean having the capabilities to deploy it at scale.
Startup partnerships can give corporations access to emerging technologies and specialized expertise without requiring them to develop every capability internally.
For Kickstart Ventures, the next stage of Philippine AI adoption will therefore depend not only on experimentation but on how effectively businesses integrate AI into existing workflows, infrastructure, and decision-making.
