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The professional audiovisual industry is entering a structural transition as profound as the shift from analog to digital or baseband to AV-over-IP. A new media architecture is emerging — one defined not by devices and signal chains, but by software, intelligence, and cloud-scale media processing.
At the center of this transformation is the convergence of four forces:
Together, these technologies are reshaping AV from hardware systems into what can be described as AI-native media environments.
For decades, AV systems have been designed as deterministic signal paths:
source → switcher → processor → distribution → display
Even in the AV-over-IP era, the underlying paradigm remained largely unchanged. Signals moved. Devices processed. Control systems routed. But the emerging stack behaves differently.
Media is no longer just transported. It is analyzed, transformed, optimized, and orchestrated in real time. The architecture now looks more like this:
capture → AV1 encode → network → cloud processing → AI inference → MCP orchestration → adaptive outputs
This shift marks the transition from signal routing to media orchestration.
AI is moving inside the AV signal path itself. Video and audio streams can now be interpreted in real time:
AI can also modify media:
In this emerging architecture, AI serves as the perception and decision layer for AV environments.
The AV industry has historically relied on H.264 and H.265 for networked media. AV1 represents a step change in efficiency and scalability. Key implications for AV environments include:
AV1 is not simply a better codec. It is an enabler of cloud-scale media architectures.
Traditional AV control systems were designed to trigger deterministic actions: switch inputs, raise volume, select scenes. But intelligent media environments require something more dynamic: orchestration. Media control and processing protocols — broadly described here as MCP layers — are evolving from command-and-control interfaces into real-time orchestration fabrics that can coordinate:
In this model, control systems no longer just execute commands. They manage adaptive media ecosystems.
Perhaps the most significant shift is where media processing occurs. Historically, AV systems relied on fixed hardware appliances:
Today, these functions are increasingly virtualized:
Cloud infrastructure effectively becomes the hardware layer of modern AV.
The convergence of AI, AV1, MCP, and cloud produces a new architectural model: software-defined AV. In software-defined environments:
This mirrors the transformation in IT driven by virtualization and software-defined networking. AV is now undergoing a similar evolution.
The practical implications for AV environments are profound. Spaces can begin to exhibit awareness and autonomy:
The AV system becomes less a collection of devices and more a responsive spatial media platform.
Across industries — enterprise, education, healthcare, live events — a common stack is taking shape:
This is the foundation of intelligent media environments.
Several technology curves are converging simultaneously:
Individually, each trend is significant. Together, they redefine the AV system itself.
For AV professionals, this transition signals a change in how systems are conceived, designed, and delivered. AV is expanding from:
device integration to media architecture
This shift will influence:
The AV industry is not simply adopting new tools. It is entering a new architectural era.
This series explores the technologies and implications of the AI-native AV stack in depth:
The transition to AI-native AV has already begun. Understanding its architecture is the first step in designing the intelligent media environments that will define the next generation of audiovisual experience.
For more information, connect with me at craigpark.com.
As an architect by training (BS Architecture, Cal Poly SLO) and a collaborative technologist with four decades of practice, I’m passionate about mentoring the next generation of AV professionals at the intersection of technology, strategy, and leadership. I have been active in AVIXA since 1986 and served on the national board from 1993–2000. I am a Fellow of the Society for Marketing Professional Services (SMPS) and an Associate member of the American Institute of Architects.
I serve as Director of Digital Experience Design at Clark & Enersen, a 200-person interdisciplinary architecture and engineering firm, where I lead the planning and design of integrated audiovisual and digital experience environments for higher education, healthcare, and research clients.
In parallel, through my personal advisory practice at CraigPark.Company, I counsel AEC and technology organizations on business strategy, collaborative design and delivery, and growth leadership.
My expertise spans systems design, integrated building technology planning, and strategic business development. I bring an award-winning, B2B design-thinking approach developed through leadership roles with national AEC and technology firms.
Across both institutional and consulting roles, I have led marketing and growth strategy, designed future-ready learning and simulation environments, and helped organizations implement AI-powered tools that scale expertise and performance.
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