As described in Part 2, if infrastructure decisions define the ceiling for performance and cost, AV system architecture determines how that potential is realized. For decades, audiovisual systems were designed as fixed, hardware-centric solutions. They were engineered to meet a defined set of requirements at a specific moment in time:

• A certain number of sources
• A certain number of displays
• A specific room configuration
• A fixed use case

And for many years, that model worked. But the way people use spaces has changed—dramatically.

Today’s environments are dynamic, hybrid, and continuously evolving. And the legacy AV systems designed for static use cases are increasingly misaligned with how spaces are actually used. The result is a growing gap between system capability and user expectation.

The Limits of Fixed AV Architectures

Traditional AV systems are built around fixed-capacity hardware:

• Matrix Switchers (e.g., 16x16, 32x32)

• Dedicated Signal Paths

• Proprietary Cabling

• Centralized Processing

These systems have a defining characteristic:

They are constrained by their initial design

Adding a new source or display is not incremental—it often requires:

• Reconfiguring Signal Paths

• Expanding Or Replacing Hardware

• Adding Dedicated Cabling

• Reprogramming Control Systems

In many cases, scaling beyond original capacity requires a full system replacement—what is often referred to as a “forklift upgrade.” From a TCO perspective, this creates a step-function cost curve:

• Low Initial Cost

• Stable Early Operation

• Sudden, High-Cost Expansion Or Replacement

The Rise of AV as a Networked Platform

Modern AV systems are increasingly built on IP-based architectures—commonly referred to as AV-over-IP (AVoIP). Instead of fixed hardware pathways, AVoIP systems use:

• Standard Ethernet Networks

• Encoders And Decoders

• Commercial Off-The-Shelf (COTS) Switches

• Software-Based Routing

This fundamentally changes the architecture. Instead of designing for capacity, systems are designed for scalability. Adding a new endpoint becomes:

• Deploying A New Encoder Or Decoder

• Connecting To The Existing Network

• Updating Software Configuration

There is no predefined ceiling.

TCO: From Step Costs to Linear Growth

The financial implications of this shift are significant. Legacy AV systems incur cost in large, discrete steps:

• Initial Installation

• Mid-Life Expansion

• Full Replacement

By contrast, AVoIP systems scale incrementally:

• Add One Device At A Time

• Expand Without Replacing Core Infrastructure

• Leverage Existing Network Investments

This transforms TCO from a step-function into a more predictable, linear model. Additionally, AVoIP systems benefit from:

• Infrastructure Reuse (Shared With IT)

• Reduced Dedicated Cabling

• Centralized Management

• Remote Monitoring And Updates

These factors reduce both CapEx and OpEx over time .

Operational Efficiency: The Hidden Driver

One of the most overlooked advantages of modern AV architectures is operational efficiency. Legacy systems require:

• On-Site Troubleshooting

• Manual Configuration

• Vendor-Specific Expertise

• Physical Access To Equipment

Modern, network-based systems enable:

• Remote Diagnostics

• Centralized Management

• Software Updates Without Site Visits

• Integration With IT Monitoring Tools

This reduces:

• Service Call Frequency

• Mean Time To Repair

• Operational Downtime

And as noted in the research, a significant portion of lifecycle cost occurs after deployment. Reducing operational friction is therefore one of the most powerful levers for lowering TCO.

User Experience: From Static to Dynamic

While TCO improvements are significant, the most important impact of AV architecture is on user experience. Legacy AV systems are inherently static:

• Fixed Input/Output Relationships

• Predefined Room Modes

• Limited Flexibility

Users must adapt to the system. Modern AV platforms are dynamic:

• Any Source To Any Display

• Flexible Routing

• Integration With Collaboration Platforms

• Support For Hybrid And Remote Participants

The system adapts to the user. This shift has profound implications:

• Faster Meeting Start Times

• Reduced Need For Technical Support

• Greater User Confidence

• Increased Utilization Of Installed Systems

In short: Better architecture leads to better experience

The Convergence of AV and IT

AV-over-IP does more than change system design—it aligns AV with IT infrastructure. This convergence enables:

• Shared Network Infrastructure

• Unified Security Policies

• Centralized Management Tools

• Standardized Hardware Platforms

From a TCO perspective, this reduces:

• Redundant Infrastructure

• Specialized Support Requirements

• Fragmented Management Systems

From a user perspective, it creates consistency:

• Similar Experiences Across Spaces

• Familiar Interfaces

• Predictable Behavior

AV becomes part of the enterprise technology ecosystem rather than a standalone system.

Flexibility as a Cost Driver

Modern spaces are expected to support multiple use cases:

• Presentation

• Collaboration

• Hybrid Meetings

• Training

• Events

Legacy systems struggle with this variability.

Each new use case requires:

• Reconfiguration

• Reprogramming

• Additional Hardware

Modern AV platforms support flexibility natively. This reduces:

• Reconfiguration Costs

• Downtime Between Uses

• Need For Specialized Support

Flexibility is not just a design goal—it is a cost control strategy.

The Risk of Standing Still

Organizations that continue to deploy legacy AV architectures face increasing risk:

• Higher Long-Term Cost

• Reduced Ability To Scale

• Poor User Adoption

• Incompatibility With Emerging Technologies

Perhaps most importantly, they lock themselves into systems that cannot evolve. In a world where technology cycles are accelerating, this is a strategic disadvantage.

Implications of AI Integration

The shift from fixed systems to scalable platforms becomes even more critical in the context of AI. AI-driven AV environments depend on:

• Stream-Based Media (Not Fixed Signal Paths)

• Network Transport

• Real-Time Data Processing

• Integration With Cloud Services

• Dynamic Routing And Composition

AV-over-IP architectures provide this foundation. They enable:

• Real-Time Video And Audio Analysis

• Intelligent Camera And Audio Behavior

• Automated Media Routing

• Data-Driven Insights

Legacy systems do not. They:

• Lack Access To Stream-Level Data

• Cannot Scale Processing

• Limit Integration With AI Services

• Restrict Dynamic Behavior

The implication is clear: AI is not an add-on to AV systems. It is a capability enabled by architecture. Choosing a fixed, legacy architecture today means:

• Higher TCO

• Lower flexibility

• And limited access to the next generation of intelligent AV capabilities

Looking Ahead

The transition from fixed AV systems to scalable platforms is one of the most significant shifts in the industry. It changes:

• How systems are designed

• How they are managed

• How they scale

• And how they are experienced

But architecture is only one part of the equation.

In Part 4, we will explore another critical dimension of TCO and experience: display technology—and how choices between projectors, LCDs, and dvLED systems impact not just cost, but engagement, reliability, and long-term value.

Because in AV, what users see is what they remember. And what they remember defines the success of the system.

To learn more, connect with me at craigpark.com.