If artificial intelligence is becoming the intelligence layer of next-generation AV, and cloud infrastructure is its new hardware, then codecs define the physics of what is possible between them.

For decades, professional AV over networks has been constrained by a fundamental trade-off among image quality, bandwidth, and latency. The dominant codecs of the IP era — H.264 and H.265 — enabled remarkable progress, but they were designed primarily for consumer streaming and broadcast distribution, not for the emerging demands of cloud-scale, AI-processed, spatially immersive media environments.

A new codec class is now entering the AV ecosystem: AV1. Its significance extends far beyond incremental compression efficiency.

AV1 is helping to redefine how media moves through AV-over-IP systems — and in doing so, it enables the AI-native AV architecture introduced in Part 1.

The Bandwidth Ceiling of Traditional AV-over-IP

Professional AV has long pursued higher resolution, higher dynamic range, and more immersive formats:

• 4K and 8K video
• High-frame-rate motion
• Wide color gamut
• HDR imaging
• Multi-camera environments
• XR and spatial media

Yet enterprise and campus networks remain finite resources shared with IT traffic. Even visually lossless codecs used in AV-over-IP systems typically require high bitrates and dedicated network design. As AV environments expand toward:

• multi-room distribution
• hybrid collaboration
• cloud production
• immersive simulation
• digital twin visualization

media transport becomes the primary scaling constraint. Codec efficiency is therefore not merely a technical detail.
It is an architectural limiter.

AV1: A Step-Change in Compression Efficiency

AV1 was developed by the Alliance for Open Media as a next-generation, royalty-free codec optimized for modern media distribution. Compared with H.264 and H.265, AV1 typically achieves:

• ~30–50% bitrate reduction at equivalent quality
• Improved performance at high resolutions
• Superior efficiency for complex motion and texture
• Better scalability across bitrates

For professional AV, these characteristics translate directly into system-level advantages:

• 4K distribution on standard enterprise links
• More streams per network segment
• Viable remote and cloud workflows
• Lower storage and transport costs
• Higher visual fidelity at constrained bandwidth

AV1 effectively lowers the bandwidth cost of visual quality.

Why AV1 Matters for Cloud-Connected AV

In the AI-native AV architecture, media frequently traverses between local capture environments and cloud processing layers:

capture → encode → network → cloud → AI → distribution

In this model, codecs determine feasibility. If bandwidth requirements remain high, cloud processing becomes impractical at scale. If compression artifacts degrade visual detail, AI analysis and immersive rendering suffer. AV1 addresses both constraints simultaneously. Its efficiency enables:

• Continuous high-quality cloud ingest
• Multi-stream remote production
• Distributed rendering workflows
• Scalable media analytics
• Persistent digital twin video feeds

AV1 thus becomes a foundational enabler of cloud-integrated AV.

AV1 and Low-Latency Professional Media

Historically, highly compressed codecs have been associated with latency penalties that limit their suitability for live AV applications. However, advances in hardware acceleration and encoder design are changing this assumption. Modern AV1 implementations now support:

• Low-delay encoding modes
• Hardware-accelerated encode/decode
• Real-time streaming pipelines
• Interactive latency targets

As GPUs, SoCs, and media processors integrate AV1 acceleration, the codec is becoming viable for:

• Live collaboration
• Remote switching
• Distributed production
• Simulation streaming
• XR rendering pipelines

Latency — once the barrier to efficient codecs in pro AV — is steadily diminishing.

Enabling 4K/8K AV-over-IP at Scale

Resolution growth has outpaced network growth in many AV environments. Deployments involving multiple 4K or 8K streams often require:

• Dedicated AV networks
• High-capacity switching fabrics
• Constrained stream counts

AV1 changes this calculus. Because bitrate scales more efficiently with resolution, AV1 enables:

• Higher-resolution streams on existing infrastructure
• More endpoints per network segment
• Expanded distribution footprints
• Campus-wide video fabrics

For large venues, enterprises, and higher-education environments, this shifts AV-over-IP from localized systems toward pervasive media infrastructure.

XR and Spatial Streaming Depend on AV1

Immersive media — including XR, volumetric video, and spatial computing — places extreme demands on media transport:

• Stereoscopic imagery
• High frame rates
• Low motion-to-photon latency
• Large pixel counts
• Continuous viewpoint updates

Cloud-rendered XR architectures rely on streaming rendered frames to headsets or displays. Without efficient codecs, the required bandwidth becomes prohibitive. AV1’s characteristics make it particularly suited to spatial streaming:

• High-resolution efficiency
• Motion-rich scene compression
• Scalable bitrate ladders
• Perceptual quality optimization

As XR moves toward cloud rendering and remote collaboration, AV1 becomes a critical transport layer.

AV1 and AI-Enhanced Video Pipelines

Another emerging dimension is the interaction between codecs and AI processing. AV1 was designed with modern perceptual and analytical workflows in mind, enabling:

• Content-adaptive encoding
• Region-of-interest prioritization
• Perceptual quality optimization
• Scalable decoding pipelines

These characteristics support AI-augmented media pipelines in which:

• Faces or text regions retain higher fidelity
• Background regions compress more aggressively
• AI reconstructs detail at decode
• Super-resolution enhances output

In AI-native AV, compression and intelligence become cooperative processes rather than competing ones.

Hardware Acceleration and Ecosystem Adoption

A codec becomes viable in professional AV only when hardware support reaches critical mass. That threshold is rapidly approaching for AV1. Support is expanding across:

• GPUs and media processors
• Mobile and embedded SoCs
• Streaming platforms
• Browsers and operating systems
• Cloud media infrastructure

As AV manufacturers integrate AV1 into encoders, decoders, and endpoints, it is likely to follow the adoption trajectory previously seen with H.264 in AV-over-IP. Once hardware acceleration becomes ubiquitous, AV1 transitions from emerging to baseline.

Toward a Pervasive Media Fabric

The long-term significance of AV1 in AV environments lies not merely in efficiency but in scalability. When high-quality media can be delivered economically across shared networks, AV distribution can expand beyond rooms and venues to pervasive media fabrics spanning buildings, campuses, and organizations. Such fabrics enable:

• Persistent video presence across spaces

• Cloud-connected media workflows
• Distributed collaboration environments
• Live digital twin visualization
• AI-analyzed spatial media

AV1 reduces the transport cost of visual information enough to make these architectures practical.

Implications for AV System Design

As AV1 enters professional workflows, several design considerations emerge:

• Network planning shifts from peak bitrate toward aggregate capacity
• Endpoint compatibility becomes a codec selection factor
• Cloud connectivity becomes architecturally viable
• Storage and archiving economics change
• XR and immersive deployments scale more easily

Codec choice, historically an implementation detail, becomes a strategic design parameter.

AV1 in the AI-Native AV Stack

Part 1 of this series introduced the emerging AV architecture:

Capture → AV1 → Network → Cloud → AI → MCP → Experience

Within this stack, AV1 plays a specific role: it is the efficiency layer that makes large-scale, cloud-connected, AI-processed media transport feasible. Without efficient codecs, intelligent media environments remain localized. With them, media becomes fluid, scalable, and pervasive.

Looking Ahead

As AV1 adoption accelerates, it sets the stage for the next transformation explored in this series: the evolution of control systems into orchestration layers capable of managing intelligent media environments.

Part 3 will examine how media control protocols and AV control architectures are evolving from deterministic command systems into real-time orchestration frameworks — enabling spaces that adapt dynamically to activity, users, and media context.

The transport layer of AI-native AV is rapidly changing. Understanding AV1 is essential to designing the distributed, intelligent media systems that follow.

For more information, connect with me at craigpark.com.