TL;DR
Enterprise buyers are aggressively rewriting their software procurement playbooks in response to double-digit software pricing inflation and the rise of rapid custom development. Instead of adopting metered AI utilities, organizations are forcing vendors into flat-rate multi-year agreements while building their own lightweight tools to bypass slow support and rigid vendor frameworks. At the same time, major software platforms are raising technical and financial barriers to protect their own ecosystems, turning API access and data movement into the primary battlegrounds for enterprise lock-in.
The Rise of "Vibe Coding" and the Shadow Build Threat
B2B software buyers are increasingly bypassing traditional vendor procurement to build custom internal applications using rapid application generation tools.
According to Retool's February BusinessWire release, 35% of teams have already replaced at least one third-party SaaS tool with custom software, a trend accelerated by frustration with traditional support channels. For example, Miles Konstantin, Head of Automation and Tooling at Harmonic, rebuilt a $20,000-per-year tool directly inside Retool:
"Their support was so slow that it was faster for me to rebuild the product inside Retool than wait for support to get back to me." — ai-build-vs-buy-myth-reality
This shift means SaaS founders are no longer just competing against rival vendors, but against their customers' own internal developers who can replicate basic tools in a weekend. To survive, software products must deliver deep proprietary integrations and domain-specific logic that cannot be easily replicated by non-technical builders using application generators.
What to watch: Whether the ease of custom app generation completely commoditizes standard workflow tools and forces SaaS vendors to focus entirely on proprietary data gravity.
The Reframing of AI Pricing as a Long-Term Capital Asset
Enterprise buyers are rejecting unpredictable consumption-based pricing in favor of flat-rate, multi-year contracts that treat AI as a strategic capital investment.
As reported by The Register, the introduction of predictability-focused models like Salesforce's Agentic Enterprise License Agreement in late 2025 is fundamentally changing how chief financial officers evaluate software purchases. Miguel Milano, Salesforce Chief Revenue Officer, explained that the company is comfortable taking pricing risks to secure long-term accounts:
"We take the risk because we want our customers to be successful. There's nothing that I would love more than a customer that I price... at $5 million incremental AELA, and the customer deploys so much that all of a sudden, that deal is not profitable for me." — agentic-enterprise-license-agreements-aela
By offering flat-rate, unlimited-use packages, major platform incumbents are willing to accept short-term unprofitability to lock down accounts and block out emerging point-solution startups. Consequently, founders must move away from metered, usage-based pricing models and align their pricing directly to highly specific business outcomes that can justify multi-year capital budgets.
What to watch: How aggressively early-stage startups will have to pivot to flat-rate pricing models to remain competitive against the "all-you-can-eat" bundles of major platform incumbents.
Data Tolls and the Rise of Behavioral Lock-In
Incumbent platforms are raising API connector fees and data tolls to restrict multi-vendor integrations and force buyers into proprietary ecosystems.
According to a CIO.com analysis, Salesforce's decision to update its AppExchange Partner Program and raise connector fees for the first time since 2016 represents a deliberate effort to restrict where customer data can flow. Sanchit Vir Gogia, founder and CEO of Greyhound Research, warned that this creates a highly restrictive environment for enterprise buyers:
"This is not traditional technical lock in where migration is impossible. It is behavioral lock in created by layered dependency over time. When integrations, data movement, and AI permissions all flow through a single commercial framework, alternatives become theoretically viable but practically disruptive." — data-tolls-connector-fees-lockin
These hidden integration costs force software buyers to choose between paying steep premiums to move their data to third-party tools or keeping everything within the incumbent's native suite. For software founders, this means designing integrations that operate on zero-copy architectures to query data directly without triggering costly replication fees.
What to watch: Whether rising connector fees will make multi-vendor integration strategies financially prohibitive for mid-market enterprise customers.
Double-Digit SaaS Inflation and Continuous Budget Scrutiny
Surging software prices and steep AI premiums are forcing enterprise buyers to abandon static annual budgets in favor of aggressive, rolling quarterly reviews.
According to benchmarking data from Vertice, the software inflation rate reached 13.2% in March 2026, causing severe budget overruns that force organizations to implement continuous procurement audits. A CloudNuro analysis outlines the resulting friction for corporate technology leaders:
"Traditional annual budget cycles are incompatible with today's dynamic pricing environment." — saas-inflation-budget-volatility-2026
As major software suites implement double-digit price hikes and charge heavy premiums for AI add-ons, buyers are aggressively rightsizing unused licenses and consolidating redundant systems. To win new business, software vendors must offer multi-year price protection and prove direct, quantifiable return on investment to survive these rigorous quarterly audits.
What to watch: The extent to which enterprise buyers demand contractually guaranteed price caps on renewals to protect against sudden vendor pricing adjustments.
What surprised us
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The speed at which shadow IT has evolved into shadow building. Rather than just adopting unauthorized SaaS, 60% of professionals are building their own custom tools outside official IT oversight ai-build-vs-buy-myth-reality
. This turns every internal developer into a potential competitor to traditional SaaS vendors.
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Incumbents are completely willing to take losses on AI products to block out startups. Salesforce CRO Miguel Milano openly admitted the company will accept short-term unprofitability on multi-million dollar agreements to lock in customers for the next 20 years agentic-enterprise-license-agreements-aela
.
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The rise of "behavioral lock-in" through data tolls rather than technical barriers. By raising connector fees, platforms like Salesforce make third-party AI integrations practically disruptive and prohibitively expensive, even when technically viable data-tolls-connector-fees-lockin
.
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The scale of Okta, GitHub Copilot, and HubSpot price shocks. While buyers expected AI tools to carry premiums, standard suite pricing has quietly surged across the board—such as Okta's 10-15% and HubSpot's 12-18% increases—powering a broader wave of software inflation saas-inflation-budget-volatility-2026
.