The AI Productivity Trap

A number of studies were published in 2025 indicating that only 5% of companies are realizing significant benefits from AI. The remainder are struggling to break even on their investment, most are actually suffering reduced productivity. The article from BetterUp in conjunction with Stanford University summarizes the problem as “workslop”, see: BetterUp: Workslop is the new busywork.

A more in-depth study validates the experience I have had with enterprise deployments, see: Project NANDA: The GenAI Divide – STATE OF AI IN BUSINESS 2025. This article even has an example that is identical to the use case I validated the approach taken by AI MentorZ when contracted to improve AI capabilities at companies.

The core problem in most companies have is due poor deployment of AI tools, which includes selecting the right tools for each job and little or no AI training. In many cases employees resort to personal AI tools instead of deployed enterprise tools because they work better. This is identified as “Shadow AI” in the study. This is consistent with my experience. The solution is outline on this website and explained in my videos:

The AI Productivity Trap

The $3k AI Transformation

The articles are comprehensive, but easily summarized by AI by attaching the PDF to ChatGPT or your favorite tool. Spending some time asking questions about what problems you are having and recommended solutions would be enlightening.

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