The $1.58 Trillion Repricing: How Asset-Based Models Signal the End of Per-Seat Economics

The Tipping Point Arrives

On April 2, IFS announced a pricing model that fundamentally changes how enterprise AI is bought and deployed. Organisations will now have the freedom to deploy Industrial AI wherever it creates value, without constraint, and without the fear of escalating costs.

By moving away from user-based licensing to a model grounded in operational reality, IFS is enabling customers to pay by assets, rather than users. For example, an energy company managing 400 offshore assets pays based on those 400 assets rather than the 12,000 people and machines that need to access the data.

The numbers tell the story: the SaaS market is rapidly expanding, projected to reach $1.58 trillion by 2033, yet the economic foundations that built this growth are crumbling. IFS's move represents more than product positioning; it signals recognition that traditional pricing models cannot survive contact with agentic AI.

Consider the unit economics. A mid-market manufacturer with 5,000 employees might purchase 1,200 software seats across various platforms. Under asset-based pricing, that same manufacturer pays for 400 production lines, 50 facilities, and 12 supply chain networks. When AI agents begin executing procurement workflows, maintenance scheduling, and quality control processes, human seat count becomes irrelevant. Asset count does not.

The Christensen Framework Applied

Clayton Christensen's theory of disruptive innovation provides the analytical framework for understanding what IFS has accomplished. The company thinks that the move will force the broader industry to rethink how it packages and prices software. IFS technology is no longer just enabling workers to do more; it is directly "driving work and outcomes" with a commercial model directly tied and aligned to the success of IFS's customers.

This represents classical disruption: a simpler, more aligned value proposition that initially serves a subset of the market but possesses superior unit economics for the new technological reality. Asset-based pricing eliminates the fundamental misalignment between AI capability and per-seat billing.

SAP CEO Christian Klein acknowledged this disruption directly: "It would be foolish to still charge subscription base, because AI is so powerful that it will automate a lot of tasks." That shift directly challenges the very rationale of the current revenue model. AI agents taking over tasks from employees make the traditional per-user rate less relevant.

But SAP's March announcement reveals the broader industry pressure. As more customers adopt SAP's new tools in the coming years, the company will charge customers based on AI consumption, moving away from regular software subscriptions. When the world's third-largest software company abandons per-seat pricing, the disruption has moved beyond early adopters.

The SaaSpocalypse Accelerates

Wall Street has already begun repricing the sector. Within 48 hours of Anthropic's Claude Cowork launch, approximately $285 billion in SaaS market capitalisation vanished. Thomson Reuters posted its largest single-day decline on record, down 15.83%.

An estimated 40% of IT budgets are being reallocated from traditional SaaS subscriptions to agentic platforms and LLM token usage, according to surveys of enterprise CIOs cited in March 2026 reporting.

The mathematics are straightforward: When one AI agent can do the work that used to require 10, 20, or 50 human users of a platform, per-seat pricing doesn't just compress. It collapses. And enterprises have started noticing.

Historical Parallels and Future Structure

Record labels in 2003 believed their distribution model was defensible. The compact disc represented a perfect pricing mechanism: physical scarcity justified per-unit economics. Digital distribution eliminated scarcity, but the industry clung to per-album pricing until streaming models emerged that aligned with actual consumption patterns.

Enterprise software faces an identical transition. Per-seat pricing emerged during an era when software value correlated with human usage. In the early SaaS era, the number of human users was a reasonable stand-in for value delivered. More users meant more value extracted from the software, more data created, more workflows supported.

AI severs this correlation permanently.

"The per-seat model, long the foundation of SaaS contracts, is collapsing under the force of AI-led workforce contraction, shifting business value away from headcount and towards automation. This is not a marginal evolution. It is a strategic rupture."

Implementation Economics

IFS's asset-based model addresses the core challenge facing enterprise buyers: cost predictability in an AI-driven environment. Under the new "Industrial Value Pricing" model, customers pay based on the assets they operate – such as infrastructure, equipment or production environments – rather than the number of users, logins or AI agents interacting with the system.

The result for IFS customers is predictable costs that align with operations, enabling projects to expand and enterprises to grow without the constraints of user-based licensing. The move will force the broader industry to rethink how it packages and prices software.

For CFOs managing enterprise software portfolios, asset-based pricing offers something per-seat models cannot: cost structures that scale with business operations rather than workforce size.

Industry Structure Prediction

By 2028, enterprise software will bifurcate into two distinct pricing paradigms: consumption-based models for AI-native platforms and asset-based models for operational systems. Traditional per-seat licensing will survive only in niche applications where human interaction remains the primary value driver.

The vendors that execute this transition successfully will capture disproportionate value as AI adoption accelerates. Those that delay face the classic innovator's dilemma: protecting existing revenue streams while their economic foundations erode.

"By 2028, pure seat-based pricing will be obsolete as AI agents rapidly replace manual repetitive tasks with digital labour, forcing 70% of vendors to refactor their value proposition into new models."

The repricing of enterprise software has begun. The only question remaining is which vendors will lead the transition and which will be disrupted by it.