Bitmovin's 2026/2027 Video Developer Report indicates that 98% of industry professionals now integrate AI or ML into their video stacks, with agentic workflows becoming increasingly common. The report also identifies low latency as the primary technical challenge for video teams, driving significant interest in Media over QUIC (MoQ) for live and interactive streaming.
The near-universal adoption of AI indicates that automated workflows are no longer experimental but foundational to modern streaming operations. As developers shift focus from cost-cutting to sub-second latency, the industry is moving toward a more complex delivery architecture that prioritizes real-time interactivity. This shift places significant pressure on legacy CDN infrastructures to support emerging protocols like Media over QUIC (MoQ) for high-stakes use cases like live sports and betting. The rapid transition to agentic AI suggests that human-in-the-loop requirements for tasks like ad placement and scene detection are diminishing. Watch for MoQ adoption rates in 2027 to determine if the protocol becomes the new standard for low-latency delivery.
Nokia has emerged as one of the most aggressive vendors in the agentic AI space for network operations, a trend that parallels the broader AI adoption Bitmovin's report documents across video engineering teams. At DTW Ignite 2026 in Copenhagen, Nokia teamed up with Google Cloud to build six specialized AI agents using Gemini technology for autonomous network troubleshooting, claiming operators can reduce network problem-solving times by 50% to 80%. The agents, which include a router orchestrator, event triage system, and anomaly reasoner, are scheduled for availability on Google Cloud Marketplace starting September 2026, with additional agents for topology, services design, and security in the pipeline.
The competitive landscape around agentic AI for network and infrastructure operations intensified sharply in mid-2026, with multiple vendors launching production-grade systems within weeks of each other. Ericsson launched its AI in RAN commercial software subscription on June 11, claiming up to 20% higher downlink throughput across more than 15 live deployments, while Verizon disclosed that its 60,000-site vRAN network is now applying agentic AI to configuration changes and service assurance. Verizon also publicly called for industry-wide interoperability standards for agentic systems, highlighting a gap that mirrors early Open RAN challenges. Nokia itself made three separate agentic product announcements in a four-week period, including an agentic AI framework for IP network operations within its Network Services Platform.
On the infrastructure and data layer side, Nokia is building the plumbing that agentic AI systems require to function at scale across fragmented telecom environments. Nokia announced partnerships with AWS and Databricks at DTW Ignite to construct a unified data, cloud, and control layer for autonomous networks, with Databricks handling data unification across siloed operational systems and AWS providing the cloud execution environment. Nokia reported that operators using its autonomous networks portfolio are already achieving automation rates above 90%, service delivery times under four hours, and up to 85% reduction in slice rollout time. Meanwhile, Nokia's AI-RAN strategy has diverged sharply from Ericsson's, with Nokia's entire Layer 1 RAN now designed to run on Nvidia's CUDA platform following a $1 billion investment from the chipmaker, signaling that hardware-software co-design is becoming a defining competitive axis in AI-driven infrastructure.
A new Bitmovin report reveals that 98% of video developers now integrate AI or machine learning into their workflows, with 46% using these tools daily. This shift marks a transition toward agentic AI across the video stack, as developers prioritize low latency over cost management to support interactive, real-time streaming formats.
According to the Bitmovin report, 98% of industry professionals have integrated AI or machine learning into their workflows.
Low latency has become the primary technical priority for 36% of teams, surpassing cost management for the first time.
Audio transcription, translation, and dubbing are the most frequent AI applications, utilized by 48% of respondents.
Media over QUIC (MoQ) is an emerging protocol for interactive formats. Approximately 28% of developers plan to implement it within the next 12 months to support low-latency delivery.
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