Ofcom Finds Human Support Still Matters in UK Telecoms AI Use
The regulator's research finds broad exposure to AI but limited use for phone and broadband tasks, with consumers wary of losing access to people.
Edited by Tyronne Panaino
Ofcom published new findings on September 25, 2026, showing that AI use is widespread among UK internet users but still limited for phone, broadband and pay-TV tasks. The result matters to telecoms providers, AI-agent developers and consumers because the regulator is pairing room for experimentation with clear expectations around transparency and continued access to human support.
Broad AI exposure, narrower telecoms use
Ofcom says 53% of adult UK internet users had interacted with a generative-AI tool or an AI customer-service chatbot during the previous 12 months. Only 8% of online adults had used an AI tool in connection with telecoms services.
The task breakdown was narrower still: 6% used AI to resolve a telecoms issue, 3% used it for a price, product or service comparison, and 2% used it to make a complaint. Those figures suggest consumer exposure to AI is not the same as relying on it for consequential service decisions.
Ofcom's qualitative findings point in two directions. Some participants preferred the speed and reduced friction of automated help, while others still valued speaking to a person for complex or sensitive issues. The regulator's concern is not simply whether providers add AI, but whether customers can understand the interaction and reach the support channels they are entitled to use.
Personal agents create a new policy test
The assessment also considers a more agentic telecoms journey. Ofcom says future assistants could compare broadband offers and prepare a transaction for a user's approval. It also records consumer concerns about personal data, privacy and whether an automated intermediary could negotiate as effectively as a person.
That makes verification and authorisation a practical checkpoint. Before an agent can safely change a service or prepare a switch, providers need a reliable way to confirm who approved the action, what information the system used and when a person can intervene. Ofcom identifies robust verification and authorisation protocols among the challenges that would need to be resolved.
Ofcom's current position
The regulator says it has seen limited evidence that AI applications have been a systemic cause of harm to telecoms customers so far. Its updated assessment says current rules give firms sufficient certainty to invest and innovate responsibly, while warning that transparency, accountability and meaningful consent are likely to become more important as applications develop.
Ofcom expects customers to be told clearly when they are interacting with generative AI. It would also be concerned if an AI application became a gatekeeper that blocked access to required support channels. The regulator says it will continue monitoring consumer behavior and will respond if evidence of harm emerges.
Evidence and limitations
The findings come from Ofcom's own news release and updated assessment page. They establish the regulator's reported percentages and current policy position, but the full discussion-paper PDF and survey methodology were not fetched in this run. The evidence is therefore useful for directional adoption and policy context, not a universal measure of UK consumer behavior or proof of provider performance. Internal confidence is medium.
Status
Confirmed. Ofcom published the findings and clarified its current expectations; future personal-agent uses remain scenarios rather than deployed market outcomes established by these sources.
Sources
- Ofcom: consumers using AI for telecoms services
- Ofcom: assessment of AI in the telecoms customer journey
Update note: Last reviewed 2026-09-30. We will revise this post if Ofcom publishes new harm evidence, binding requirements or updated consumer-adoption data.
Sources
- Ofcom consumer findings — official
- Ofcom telecoms AI assessment — official
Drafted with AI assistance from source briefs; reviewed for citation completeness and label accuracy.