Salesforce Adapts as Customers Shift AI Expectations

Enterprise buyers are changing how they use Salesforce rather than abandoning it wholesale. Morgan DeBaun, CEO of Blavity, says her company spends roughly $1 million per year on enterprise software and plans to replace Salesforce’s CRM when a six-figure contract expires in early 2027, projecting savings of at least 50%–60%. She intends to keep Slack — acquired by Salesforce for nearly $28 billion in 2021 — because rebuilding an internal messaging platform remains prohibitively expensive, even with AI.

New AI tooling from providers such as Anthropic and OpenAI lowers the barrier to building custom CRM and data-management solutions and accelerates automation inside business processes. That makes it technically feasible for smaller, product-led companies to assemble tailored stacks that replicate core CRM functions at lower cost. At the same time, integrated ecosystems, horizontal products (messaging, workflows, analytics), data integrations, and third-party marketplaces remain high-friction to replace.

DeBaun’s expectation is that AI features should be “included in their base offering” and not upcharged; she argues current vendor upcharges for AI do not translate into better efficiency. Salesforce recently added new AI features to Slack, following a substantial “agentic” update in January, but customers are pushing back on incremental pricing for those capabilities. On Wall Street, concern about AI disruption has weighed on software stocks, prompting a sell-first mentality even as many analysts remain bullish on Salesforce’s long-term position because of its product breadth and entrenched customer relationships.

This is not a binary disruption story where AI eliminates SaaS vendors; it’s a reconfiguration of value and pricing. Engineering and product teams should plan for two parallel trends: (1) internal capability acceleration — leveraging LLMs and coding assistants to automate workflows and build bespoke CRM modules — and (2) continued reliance on ecosystem services (messaging, marketplaces, integrations) that are costly to replicate. Procurement and architecture decisions will increasingly balance marginal cost savings against integration, security, and long-term maintenance burdens.

contract renewal cycles (2026–2028), vendor pricing models for AI features (base vs. modular upcharges), how quickly AI-first startups deliver turnkey CRM replacements, and Salesforce’s roadmap for embedding AI across its platform without fragmenting revenue. Those signals will determine whether customers shift to hybrid stacks or re-centralize on incumbent platforms.