The findings were presented Wednesday during Synology’s 2026 Annual Media Event in Makati City, where the data-management company examined how businesses are preparing their infrastructure, cybersecurity and workplaces for wider AI adoption.
Claire Huang, Synology country manager for the Philippines, said AI is increasingly becoming part of companies’ core information technology infrastructure as businesses use it to automate processes and improve decision-making.
“AI is no longer experimental and it’s becoming a part of the core IT infrastructure,” Huang said.
But she warned that adoption also creates greater complexity and exposure to risk as businesses generate and connect larger volumes of data.
The survey found that about 47 percent of Philippine respondents view data quality and availability as challenges to AI adoption, while 40 percent said their information remains scattered across different environments.
Nearly 40 percent also said they lack visibility into how data submitted to third-party AI services is handled.
That becomes particularly significant as employees increasingly use publicly available AI tools for everyday work.
“Does the company allow you to use third-party AI? And using that AI, are you uploading your business, your company’s data to that AI?” Huang asked.
More than 60 percent of businesses surveyed do not actively enforce technical controls over employee AI use, while only about 40 percent are fully confident they could produce a complete record of AI activity within their organization.
“Without clear visibility and control, sensitive business information may be shared with AI services without the IT actually being aware,” Huang said.
Data behind the AI
Antoine Yang, Synology regional sales manager for Southeast Asia, said businesses also face the challenge of preparing fragmented and unstructured information before it can be effectively used by AI systems.
He cited a newsroom as an example, where an interview video might be stored on one employee’s computer, supporting documents in email and corrections sent through another messaging platform.