Salesforce’s Two-Track Defense: Capital Returns and AI Integration
Salesforce’s current strategy is a two-track defense in which aggressive share buybacks support Salesforce stock performance while AI integration reinforces its position as a core enterprise platform, aiming to offset fears that cheaper, AI-built software will disrupt the software-as-a-service model. Marc Benioff is trying to calm investors who worry that AI-native platforms and coding agents could erode pricing power or make it easier for customers to switch. On CNBC, he stressed execution, customer success, and cash flow over reacting to market noise, even as guidance was seen as cautious and the share price slipped after earnings. At the same time, he promoted the company’s record quarter in large enterprise deals, underscoring that Salesforce still sees itself as an indispensable system-of-record in customer data and workflows, not as a commodity app that can be swapped out overnight.
Buybacks as a Signal: Shoring Up Salesforce Stock Performance
The share buyback program is now central to Salesforce stock performance. Salesforce has repurchased USD 27.1 billion (approx. RM124.7 billion) of its own shares, which management presents as a vote of confidence in the long-term franchise rather than a lack of growth ideas. According to Salesforce’s chief financial officer, the buybacks cut diluted share count by 10 percent year over year and added USD 0.23 (approx. RM1.06) to first-quarter adjusted earnings per share. Benioff went further, calling Salesforce “probably the greatest” opportunity in the market and saying the company is “very happy to buy back our stock.” This is a classic large-cap software move: use strong free cash flow to smooth earnings-per-share growth and support valuation when top-line acceleration slows and investors become more selective about enterprise software names.
AI Integration Strategy: From Anthropic Agents to Slack Bots
On the AI side, Salesforce is positioning itself as an orchestration layer rather than an AI foundation-model rival. Benioff has talked about spending around USD 300 million (approx. RM1.38 billion) with Anthropic in 2026 to use its coding agents, saying “everything’s gonna be cheaper to make” as humans and agents work side by side to build and implement software. Instead of selling AI as a bolt-on, Salesforce is weaving it into existing workflows. A prominent example is Slack, where a bot “driven by Anthropic” is embedded to give contextual advice and productivity support inside conversations. Internally, AI coding agents let Salesforce develop and ship features faster without adding engineers; externally, AI agents are sold as platforms that customers adopt now, with the promise of monetization stretching over “20 years,” according to Miguel Milano. This twin use of AI aims to modernize the product while extending Salesforce’s role in enterprise AI rollouts.
Switching Costs: Why the SaaS-pocalypse Is Not Here Yet
The biggest shield against disruption may not be technology but enterprise software switching costs. AI coding agents make it easier to build custom CRM tools, and some users even claim to have “vibe-coded” alternatives to avoid Salesforce fees. Yet history suggests alternatives alone do not force mass migration. Organizations have long had free and open-source substitutes for mainstream office software and operating systems, but few move because software is only a small slice of total revenue, while staff time and change management dominate IT costs. CIOs risk user backlash and data migration headaches for savings that may be marginal. Salesforce’s deep integration into sales processes, customer records, and workflows amplifies this inertia. By embedding AI features into its platform rather than standing apart from it, Salesforce increases the friction of leaving, making any theoretical SaaS-pocalypse look slow and uneven instead of sudden.
AI as a New Layer of Lock-In Amid Investor Skepticism
Despite a record quarter in large enterprise deals, Salesforce faces pressure that goes beyond reported numbers. Shares underperformed broader tech benchmarks and slipped after earnings, as investors questioned whether AI-native rivals could undercut traditional SaaS models. Salesforce’s answer is to turn AI integration into both a selling point and a source of extra lock-in. Capped-price AI agreements and agent platforms entice customers with lower entry costs today, while Gartner has warned that renewals may later become harder to forecast. Salesforce disputes any shift away from capped deals, saying renewals stay flexible and pricing will reflect evolving compute costs. Either way, once AI agents and data platforms are woven into a customer’s workflows, untangling them becomes expensive. Combined with the ongoing share buyback program, this AI integration strategy is designed to reassure markets that Salesforce can defend margins and relevance even as the economics of software creation change.