AI Standardisation Speeds Up

AI Standardisation Speeds Up

TVBEurope
TVBEuropeMar 17, 2026

Why It Matters

Standardised protocols and certification give broadcasters interoperable, compliant AI tools, reducing integration risk and accelerating revenue‑generating services. This positions the media industry to capitalize on AI‑driven efficiency while meeting tightening regulatory expectations.

Key Takeaways

  • SMPTE AI Taskforce updates report to reflect rapid AI advances
  • MCP dubbed "USB‑C for AI" gains industry backing
  • A2A protocol enables secure AI‑agent communication
  • ISO/IEC 42001 guides AI management compliance worldwide
  • Broadcast AI matures in transcription, localisation, and automation

Pulse Analysis

The broadcast sector is confronting a tidal wave of artificial‑intelligence capabilities, and industry bodies are racing to codify best practices. SMPTE’s AI Taskforce, formed in 2020, has become a central hub for aligning engineers, vendors, and broadcasters around common terminology and technical roadmaps. By publishing an updated Engineering Report, SMPTE signals that the era of ad‑hoc AI experiments is ending, and that reproducible, interoperable solutions are now a strategic priority for media organisations worldwide.

At the heart of this shift are two emerging standards: the Model Context Protocol (MCP) and the Agent‑to‑Agent (A2A) protocol. MCP, described as the "USB‑C for AI," provides a uniform interface for connecting large language models such as Claude or ChatGPT to external data sources and workflow tools, dramatically simplifying integration. Within weeks of the report’s recommendation, leading AI firms, including Google, pledged to adopt MCP, underscoring its industry‑wide appeal. A2A adds a secure communication layer that lets autonomous AI agents exchange information and coordinate actions across enterprise platforms, paving the way for complex, multi‑agent orchestration in live production environments.

For broadcasters, these standards translate into tangible operational benefits. Real‑time transcription, captioning, and localisation services have reached production maturity, while edge‑computing AI enables on‑device processing for camera automation and newsroom fact‑checking, reducing latency and data‑privacy concerns. Coupled with ISO/IEC 42001 certification, which aligns AI management with the EU AI Act, companies can now demonstrate regulatory compliance and mitigate security risks. As standards evolve and new revisions of SMPTE’s report loom on the horizon, the industry is poised to unlock higher efficiency, richer viewer experiences, and new revenue streams through scalable, standards‑based AI deployments.

AI standardisation speeds up

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