Software pricing used to be a simple process across the enterprise. Count the heads, multiply by the fee, then sign the contract. Whether employees logged in daily or forgot their passwords made no difference to the invoice. Vendors collected license revenue, and buyers accepted the arrangement. It
When it first emerged in the late 1990s and early 2000s, Software-as-a-Service (SaaS) transformed enterprise software by shifting applications to the cloud. Today, artificial intelligence is forcing another revolution. But the obituaries for traditional SaaS are still premature. The emergence of
Markets punished software stocks this quarter, but the contracts did not. That gap affects valuations, deal velocity, and the choices product leaders make over the next twelve months. The signal is clear. The sector is not collapsing. It is sorting. Software that only wraps a database is at risk.
SaaS is now one of the fastest-growing operating expenses in mid-market and enterprise budgets, often sitting behind payroll and cloud infrastructure. Yet most finance teams still manage it with a procurement playbook built for perpetual licenses. That mismatch is expensive. The average company now
The traditional software-as-a-service model, once defined by the predictable cadence of per-seat licensing, has officially collided with the relentless computational demands of agentic artificial intelligence. This intersection has forced a fundamental decoupling of value from human headcount, as
The SaaS graveyard is crowded. For every Salesforce or Slack, dozens of well-funded products with capable teams quietly shut down. The pattern is consistent: strong launch momentum followed by stagnant growth, pricing confusion, and a slow realization that product-market fit was never truly
