Forrester has published its 2027 Asia Pacific predictions on the spread of AI in organisations across the region, with a focus on governance, control and accountability as use widens.

Among its main forecasts is that one in three large Asia Pacific enterprises will discover at least 10 employee-built shadow AI agents for every officially sanctioned agent. The firm expects employee-created agents, embedded software features and locally chosen AI platforms to spread faster than internal controls.

That is expected to create unmanaged risk, duplicated tools and undocumented dependencies inside large organisations. The report presents this as a shift from rapid AI deployment towards tighter oversight of how systems are approved, monitored and used.

Another prediction centres on model choice in regulated sectors. Forrester expects one in five large regulated enterprises in Asia Pacific to approve Chinese open-weight AI models, as companies seek greater control over model behaviour and where AI workloads run.

The forecast highlights a tension between operational sovereignty and geopolitical concern. Some organisations may accept self-hosted Chinese models because access to model weights and biases gives them more visibility, even as questions remain over provenance.

A separate forecast covers personal AI tools entering the workplace. Forrester predicts an employee's personal AI agent will trigger an incident at a Fortune 500 company, reflecting concerns that existing security systems can verify access rights but not always the intent behind automated actions.

As consumer AI products become more common, the boundary between personal and work use is likely to narrow. Employees may use personal agents to access corporate devices, credentials and data for work-related tasks, creating the risk that even a benign request could expose sensitive information or misuse access.

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