Social housing appears to be on the verge of a ‘tipping point’ in the adoption of AI, a new study suggests, with staff usage outpacing the sector’s ability to manage the technology.
New research from the Disruptive Innovators Network (DIN) has found widespread workforce adoption is significantly ahead of the sector’s organisational capability, and its governance maturity.
The first phase of DIN’s On the AI Pulse survey found that AI tools are already embedded in everyday work across the sector, with 68% of respondents reporting frequent use. However it also discovered signals that most organisations remain structurally unprepared to scale AI beyond basic productivity support.
Dr Rob Rowlands, who led the research for DIN, said: “People are confident and already using AI, but organisations are not structured to scale it effectively. Progress is often being interpreted as ‘we are doing something about AI’ rather than ‘AI is changing how we operate’.”
The study found AI use is currently concentrated around content generation, summarisation and administrative assistance, rather than workflow redesign or service transformation.
Despite this, belief in AI’s long-term impact was found to be extremely high:
- 90% believe AI can improve services
- 72% expect AI to significantly transform housing operations
- Nearly half believe the sector is adopting AI too slowly
The findings point to a growing disconnect between workforce behaviour and institutional readiness, DIN says.
While individuals report high confidence in using AI tools, only 17% believe their organisations currently possess the necessary skills and capability to implement AI effectively at scale.
The project also identified significant levels of “shadow AI” usage, with almost one-third of respondents admitting to using unofficial AI tools outside approved organisational systems.
Rather than interpreting this as a governance failure, the research suggests it reflects unmet demand from digitally capable employees attempting to work around slow-moving organisational structures.
Ian Wright, DIN’s founder and chief executive, said: “The findings demonstrate that the housing sector has moved beyond the question of whether AI will become part of everyday work, and must now focus on how to implement it responsibly and strategically at scale.
“Organisations have to be mindful they are not painting AI over organisational rust. If they haven’t reviewed their current processes end to end, AI is unlikely to improve the system.
“The next phase of AI adoption in the housing sector will depend less on experimentation and more on organisational redesign, systems integration, workforce capability and operational governance.”
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