The $1T Software Shakeout: Why Your Stack Is Either an Exoskeleton or a Legacy Tax

A fundamental repricing of the software market is currently underway. Since late 2024, over $1 trillion in market cap has evaporated from the SaaS sector. This is not a cyclical downturn; it is a structural rejection of “System of Record” software that lacks “System of Action” capabilities.

For executive leaders, the distinction is binary. Software that exists to facilitate human reporting is depreciating. Software that exists to execute work is appreciating.

The Differentiation: Path of Work vs. Reporting of Work

The market is bifurcating into two categories:

1. Durable Exoskeletons 

These platforms are integrated into the transaction layer or the security perimeter. Examples include Stripe (payment flow), CrowdStrike (endpoint security), and Shopify (commerce engine). They are “Durable” because they control the actual execution of a business process. They do not rely on human data entry to provide value; they generate data as a byproduct of performing the work.

2. Disposable Inventory 

This category includes “Systems of Record” where the primary function is data storage for human oversight. If the value of a platform depends on a human filling out a ticket, updating a status, or generating a manual report, that platform is now a liability. AI agents can now perform these tasks across open APIs, making the proprietary UI of these systems redundant.

The Transition to Machine Experience (MX)

The “User Experience” (UX) era assumed a human was the primary operator. The “Machine Experience” (MX) era assumes an autonomous agent is the operator. By 2030, an estimated 20% of B2B revenue will be driven by Machine Customers—AI agents authorized to negotiate and execute purchases.

To remain durable, enterprise architecture must pivot to support Service-to-Service (S2S) patterns rather than human-to-interface patterns. This requires a shift from “Attention Metrics” (time on site) to “Execution Metrics” (API success rates and latency).

Strategic Takeaways for Technical Leadership

To avoid the “Legacy Tax” of depreciating software, leaders must implement these three shifts:

1. Implement a Semantic Data Layer 

Stop storing data in application-specific silos. Durable organizations are moving toward a centralized semantic layer (using Schema.org and JSON-LD). This allows AI agents to reason across the entire organization without custom integrations for every tool. If an agent cannot understand your data structure without a human guide, your data is inaccessible.

2. Transition from mFA to Agentic Identity 

Human-centric authentication (Passwords, 2FA) is a bottleneck for autonomous workflows. Durable stacks are transitioning to mTLS (Mutual TLS) and short-lived, scoped tokens for agentic identity. This allows you to verify that an action was taken by an authorized agent rather than a compromised user account.

3. Move to Outcome-Based Procurement 

Review your current SaaS contracts. If you are paying “per seat” for software that AI can now operate, you are paying a premium for human inefficiency. Negotiate for usage-based or outcome-based models. If a vendor cannot provide a stable, “deterministic lane” for your agents to operate in, they are likely a candidate for replacement during your next procurement cycle.