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The figures were presented by Thanh Nguyen, Anphabe’s CEO and Chief Happiness Inspirer, at the “From AI Adoption to Productivity Advantage” event held on Sept. 23.
The findings came from Anphabe’s 2026 Working People and Work Survey, conducted in the second quarter of this year.
The gap suggests that individual adoption of AI is moving faster than organizations’ ability to manage it.
According to Nguyen, when AI enters a company through unofficial channels without its use and information flows being directly managed or guided by the organization - a phenomenon known as “shadow AI” - the consequences can extend far beyond data leaks.
Businesses may make decisions based on unverified AI outputs, while accountability can become unclear when AI produces incorrect results.
More concerning, she said, is that when employees enter corporate data into public AI tools, that information may be stored and used for model training.
Even employees who use AI effectively can become isolated “islands of productivity” that their organizations cannot see, learn from or replicate.
As a result, AI-driven productivity gains can remain confined to individuals rather than being scaled across the organization.
Nguyen identified two major bottlenecks facing companies in adopting AI, which she said are widening the gap between simply “using AI” and generating tangible value from it.
The first is enterprise AI infrastructure.
When employees rely on personal AI accounts, the tools operate without access to internal corporate information and therefore lack business context.
Employees may then have to spend additional time manually feeding information into the tools to obtain useful answers. Nguyen said this is a problem that can be addressed through technology.
The second challenge lies in how businesses organize AI adoption.
Real productivity gains depend not only on the tools themselves but also on how companies redesign the way people and AI work together.
Alongside investment in technological infrastructure, businesses therefore need to build and manage the transformation process itself.
“Vietnamese businesses do not lack people who are already using AI. What they lack is a system that allows them to know where AI is being used, how their assets are being protected, which ways of working actually generate productivity, and how successful practices can be scaled,” Nguyen said.
To address these challenges, Anphabe has signed an agreement to become OpenAI’s first AI Productivity & Capability Transformation Partner in Vietnam, with the partnership aimed at bringing AI into governed environments while helping companies redesign work and measurement systems to turn AI into an organization-wide productivity advantage.
The initiative reflects a broader challenge in enterprise AI adoption: translating access to increasingly capable AI into measurable business outcomes requires organizations to identify appropriate use cases, redesign workflows, integrate AI with existing systems and manage adoption at scale.
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