As artificial intelligence continues to reshape workplaces, the conversation is increasingly shifting from AI adoption to long-term workforce readiness.
While generative AI tools are becoming deeply embedded in daily workflows, business leaders say sustainable transformation will depend on how effectively organizations build human capabilities alongside new technologies.
Recent figures show that 86% of Filipino knowledge workers already use generative AI in their day-to-day tasks, reflecting how quickly AI adoption has accelerated across industries.
AI adoption accelerates across workplaces
Gian dela Rama, chief technology officer of Sprout Solutions, said Philippine companies are showing a growing appetite for AI-powered business tools.
“Customers are now actively asking about the AI features in Sprout Solutions, and at the same time, we’re seeing a strong early-adopter mindset across the Philippine workforce,” dela Rama said.
Monthly active users of Sprout Solutions’ AI features reportedly grew from around 2,000 late last year to more than 35,000 recently, highlighting the rapid integration of AI into workplace operations.
Initial results also point to measurable productivity gains. Teams using generative AI reportedly saw productivity increases ranging from 15% to 30%, while one customer-facing payroll services team reduced workflow tasks by up to 75% and doubled its client-handling capacity through agentic AI.
Building long-term workforce readiness
As organizations scale AI adoption, attention is also shifting toward skills development and adaptability.
Jerome Zapata, the HR director at Kickstart Ventures, said businesses must invest in foundational capabilities that help employees adapt to evolving technologies.
“Technology is only as powerful as the people who use it. Lasting transformation happens when strong operational understanding meets creativity,” Zapata said.
For workforce development group BagoSphere, readiness extends beyond technical familiarity.
Ellwyn Tan, head of business and co-founder of BagoSphere, said organizations that successfully navigate change are often those that create environments where employees feel safe experimenting and adapting.
“An AI-ready worker isn’t defined by their familiarity with tools, but by whether they’re grounded enough in their own values and purpose to adapt when the tools change,” Tan said.
Shared responsibility for transformation
Business leaders also emphasized that workforce enablement is becoming a shared responsibility between organizations, educators, and technology providers.
Zapata noted that broader collaboration will play an important role in accelerating workforce readiness, from skills training to building strategic partnerships and sharing implementation best practices.
Meanwhile, BagoSphere said its workforce development programs have already reached more than 42,200 community members and trained over 16,000 alumni, with 80% of graduates from its BPO fellowship program securing employment within 90 days.
AI as an enabler, not a replacement
Industry leaders continue to stress that AI’s long-term value lies in enabling people to work differently rather than replacing them outright.
“Expecting that AI could be this magic wand wherein you wave it and everything is fixed — that is the wrong way of looking at it,” dela Rama said. “It will be adaptive, it will be transformative, but you have to put in the work.”
As businesses continue integrating AI into operations, organizations that successfully translate adoption into real workforce capability may gain advantages in productivity, scalability, and long-term competitiveness.