80% of Organizations Use Generative AI, Yet One in Three Workers Can't Apply It to Core Tasks: SurveyA · FULL TRANSLATION
- Ururu BPO publishes a survey on corporate generative AI usage
- Organizational adoption reaches 80%, but one in three employees can't use AI in core work
- Usage remains concentrated in generic tasks like summarization and translation
- The gap reveals a wall between adoption and deep business penetration
Eighty percent adoption, one-third stuck outside core work — these figures capture the last-mile problem of enterprise AI. Generative AI faces near-zero friction in generic tasks, but penetrating core operations runs into three walls: data silos, unstandardized processes, and unclear accountability. Installing software is easy; reengineering business is hard — the classic DX problem replayed in the AI era.
Note the messenger: Ururu BPO is itself an 'AI plus human' outsourcer, and this survey doubles as market education — rather than letting employees fumble, outsource the whole process to specialists who have already rebuilt workflows around AI. The lesson for BPO and consulting firms in Taiwan: AI won't kill outsourcing; it makes process-reengineering expertise more valuable.
Is your company actually using AI, or has it merely installed it?
Ururu BPO Inc. (Chuo, Tokyo; President: Yuhei Okeyama), a wholly owned subsidiary of Ururu Inc. (Chuo, Tokyo; President & CEO: Tomoya Hoshi), which tackles labor shortages through a combined 'AI and human' model, released a survey on the state of corporate generative AI usage.
The survey found that organizational use of generative AI has reached 80%, yet one in three workers say they cannot apply AI to their core duties, with usage concentrated in generic tasks such as document summarization and translation — revealing a 'penetration wall' inside companies.
The report attributes the gap between adoption and deep utilization to unstandardized workflows and insufficient data readiness. Ururu BPO says it will help companies cross this wall through BPO services combining AI and human labor.