TL;DR
The enterprise software landscape is fracturing as a historic valuation contraction forces legacy vendors to abandon traditional seat-based licensing. While commoditized database vendors face severe revenue and headcount retrenchment, platforms managing complex, regulated workflows are re-accelerating by capturing budgets redirected from failed internal corporate IT projects. This structural realignment is separating vulnerable point solutions from resilient systems of action.
The Valuation Collapse and the Death of Per-Seat Licensing
The enterprise software sector is undergoing a historic structural repricing as fears of seat contraction force legacy vendors to dismantle per-user licensing.
"Orlando Bravo, who has spent 20+ years buying and building software businesses at Thoma Bravo, said publicly this month that some of the software companies being disrupted by AI are facing 'very warranted' decreases in their valuations." — SaaS Rout of 2026
"ZoomInfo announced a formal shift away from traditional seat-based subscriptions to a hybrid model combining low annual platform fees and pre-purchased data credits... to reduce reliance on seats, align pricing with customer value, and better accommodate AI-driven usage patterns." — ZoomInfo Q1 Deep Dive
When software valuations drop below the broader market average, it signals that Wall Street no longer believes in the infinite scalability of per-user SaaS. Companies whose primary value lies in easily automated human tasks are being forced into painful restructuring, including a 20% headcount reduction at ZoomInfo, to survive the transition ZoomInfo Q1 Deep Dive.
What to watch: Whether the transition to hybrid credit structures stabilizes overall revenues or simply introduces extreme, unforecastable volatility to enterprise software balance sheets.
The Emergence of the Workflow and Context Moat
A sharp divergence is splitting the software market between easily substituted point solutions and deeply integrated platforms that control proprietary corporate data graphs and mission-critical workflows.
"Atlassian delivered its first-ever $1 billion cloud revenue quarter, with cloud up 26% year-over-year... precisely because AI workloads need exactly what Atlassian has built..." — Sammy Abdullah, Medium
"Moats for enterprise software are being built around proprietary non-public and sensitive historical customer data, workflows, governance, security, integrations, compliance..." — Incumbent Data Moats
Rather than destroying established software suites, advanced automation is driving increased usage for platforms like Atlassian, where customers using automated coding tools actually expand their core software footprints. These platforms thrive because foundational systems lack the highly specific, non-public context required to execute complex, regulated workflows.
What to watch: How successfully mid-market software vendors can integrate consumption-based billing structures, such as Figma's upcoming credit launch, to monetize this increased platform activity.
The Retraction of Custom In-House Builds
Enterprise buyers are rapidly abandoning expensive and risky internal development projects, choosing instead to deploy automated capabilities directly through their trusted software vendors.
"Customers are concluding quickly they don’t want to build AI internally, especially those in regulated industries. RingCentral notes the engineering talent and customer compliance issues make building AI in-house unattractive..." — Incumbent Data Moats
"UBS says it started hearing from large enterprise customers in December that AI spending was taking priority — and that non-AI software budgets were getting squeezed as a result." — TIKR Blog
The sheer complexity of data hygiene, compliance, and talent acquisition makes custom internal software builds a losing proposition for non-tech enterprises. However, this shift squeezes traditional software budgets, forcing vendors like ServiceNow to defend their position as the primary orchestration layer.
What to watch: Whether legacy systems can convince buyers that their orchestration networks are superior to native hyperscaler architectures.
What surprised us
- Automated coding tools are expanding, not shrinking, software footprints. While the prevailing narrative assumed that automated coding would eliminate the need for project tracking software, Atlassian's data shows that developers using automated code generators actually create 5% more Jira tasks and expand Jira seats 5% faster than non-users Sammy Abdullah, Medium.
- Figma's rapid monetization path bypassed the typical "free-trial" lag. Rather than waiting years to monetize its automated features, Figma is launching consumption-based credit pricing in March 2026 after observing that 75% of its large enterprise customers were already using automated features weekly Sammy Abdullah, Medium.
- ServiceNow's massive growth couldn't shield it from a 44% valuation collapse. Despite guiding for 20% subscription revenue growth, ServiceNow saw its valuation cut nearly in half in early 2026 as institutional analysts panicked over whether customers would bypass its orchestration layer entirely TIKR Blog.