The AV industry has spent the past two years racing to integrate artificial intelligence into everything from cameras to control systems. But in March 2026, the conversation has taken a decisive turn. The question is no longer what AI can do but how it should be governed.
Across enterprise AV, broadcast, and unified communications, AI is now deeply embedded. Platforms like Microsoft Teams and Zoom routinely deploy AI for real-time transcription, meeting summaries, intelligent framing and noise suppression. In parallel, manufacturers such as Q-SYS and Crestron are building AI directly into control and automation layers. This shift has been rapid and largely successful. But as adoption scales, a new layer of complexity is emerging.
Organisations are beginning to ask harder questions about how these systems operate. If an AI system automatically prioritises one speaker over another, on what basis is that decision made? If a meeting summary omits key details, who is accountable? And if AV systems are continuously analysing voice and video data, how is that information being stored, processed and secured?
These are not theoretical concerns. In regulated sectors such as finance, healthcare and government, they are quickly becoming procurement blockers. For integrators, this marks a significant change in role. Historically, AV projects have been judged on performance and reliability. Now, they must also address transparency, auditability and compliance. Clients increasingly expect visibility into how AI-driven features operate and, crucially, the ability to override or control them.
This is where many current deployments begin to show their limits. AI has often been layered onto AV systems as a feature rather than designed as part of a governed architecture. The result is powerful functionality, but limited oversight.
Forward-looking organisations are already responding. Enterprise clients are starting to involve IT, legal and compliance teams much earlier in AV projects, particularly where AI is involved. Meanwhile, vendors are beginning to introduce more granular controls, allowing users to manage data retention, model behaviour and system permissions.
For integrators, this creates both a challenge and an opportunity. The technical barrier to deploying AI in AV is falling. The real differentiator is becoming the ability to design systems that are not only intelligent, but trusted.
In 2026, AI capability is expected. Governance is what will set projects apart.
ICYMI: Training AI Beyond The Known
Continue the conversation LIVE at our UK event next April: Pro Integration Future Europe
Subscribe to Pro Integration Insider for monthly updates!
