
Son Nguyen, Forbes Councils Member
· 1 min read
Why Individual AI Gains Don’t Add Up To Company Value
Dr. Son Nguyen is Orient Software’s CTO & co-founded Neurond AI, companies specializing in software development, AI, & data science services
A few months ago, I asked our DevOps and finance teams the same question: What does it cost us each month to run the cloud infrastructure for one of our larger projects? Using different AI tools and data, they returned with different answers.
I couldn’t tell which answer to trust, where the information came from, whether it was current and whether correcting it would help others.
Now, imagine this across thousands of employees and AI tools.
Individual productivity is clearly improving with AI. A Gallup survey from May 2026 found that 65% of employees at organizations that have implemented AI reported a positive effect on their productivity and efficiency.
But do thousands of assistants, each holding its own fragment of context, add up to a smarter company? I don’t think it necessarily does. While individual AI use can make each employee faster, only a company brain makes the company smarter.
The Difference Between AI Adoption And Value
McKinsey’s August 2026 report on the state of AI found that 89% of organizations are now using AI, and 80% of respondents say AI has improved their individual productivity. However, only 37% attribute at least some earnings before interest and taxes impact to AI, which was unchanged over the previous year.
We have become quite good at giving employees access to AI, but what happens to everything they learn from using it?
Each AI chat is its own island. Employees ask questions, refine answers and share business context. Yet that learning often stays within one interaction or workflow, and the next employee starts from scratch.
Why Personal Gains Stay Personal
Based on my experience, four issues explain why personal gains rarely become organizational gains:
2. Companies lack a shared definition of what their information means. Without it, AI spreads existing inconsistencies faster.
Original source
This story was published by Forbes: Innovation and written by Son Nguyen, Forbes Councils Member. SyncAI.news shows a preview; the complete article is on the publisher's site.
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