AI Forces Bigger Software Players to Adapt Pricing to Compete

AI Forces Bigger Software Players to Adapt Pricing to Compete

ITPro
ITProMay 21, 2026

Why It Matters

Without adapting, incumbents risk losing market share to agile AI‑first competitors and exposing themselves to revenue leakage, while a hybrid model unlocks more accurate pricing and cross‑functional business insights.

Key Takeaways

  • Incumbent SaaS firms must add usage‑based billing to stay competitive
  • Legacy subscription stacks lack metering, rating, and automated data flows
  • Hybrid pricing blends predictable subscription revenue with value‑linked usage fees
  • Upgrading monetization stacks can reduce revenue leakage and unlock insights

Pulse Analysis

The rapid rise of AI‑first companies such as Anthropic, OpenAI and niche players like Sierra and Harvey is reshaping how software delivers value. Their products are priced around concrete actions—calls processed, contracts reviewed—so customers pay directly for outcomes. This usage‑centric approach puts pressure on traditional SaaS vendors, whose revenue models have long relied on fixed‑term subscriptions. As a result, incumbents are scrambling to embed AI capabilities while simultaneously re‑engineering pricing structures to reflect the variable cost and margin dynamics of AI services.

Most legacy monetization stacks were built for predictable subscription billing and lack the granular metering, rating and real‑time data pipelines required for usage‑based charges. The gap creates three primary leakage points: incomplete usage capture, calculation errors, and out‑of‑date pricing tables. A modest “keyhole surgery”—adding dedicated metering engines, rating modules and automated data flows—can retrofit up to 80 % of the needed functionality without replacing existing ERP or CRM systems. Hybrid pricing then delivers the best of both worlds: steady subscription cash flow paired with usage fees that align price with delivered value.

Beyond preventing revenue loss, upgrading the monetization stack unlocks enterprise‑wide analytics. Real‑time usage data feeds marketing, support and product teams, enabling more targeted campaigns, proactive service and faster feature iteration. For channel partners, the ability to bundle subscription and usage components simplifies deal structuring and improves forecast accuracy. As McKinsey notes, more than six in ten software leaders expect AI to fundamentally alter their business models within five years, making a swift transition to hybrid pricing not just a defensive move but a strategic growth engine.

AI forces bigger software players to adapt pricing to compete

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