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Salesforce (CRM): AI Agents and Enterprise Software
Salesforce is navigating the most critical strategic crossroads in its history, and the stock market is not yet convinced the company can execute the transition. As of June 5, 2026, CRM closed at $185.66, making it one of the Dow Jones Industrial Average's biggest laggards in 2026 with a year-to-date decline exceeding 10%. The broader software sector has experienced a significant rotation out, as investors redirected capital toward AI infrastructure and semiconductor names, leaving enterprise software under pressure even when fundamentals improve.
Yet beneath the stock price weakness, Salesforce is building an AI agent platform that could redefine how enterprises automate workflows. Agentforce, its platform for building, managing, and deploying AI agents, reached an annual revenue run rate of approximately $800 million at the end of fiscal 2026, up 169% year-over-year. More importantly, over 75% of Salesforce's top 100 deals in Q4 included both Agentforce and Data 360, its unified customer data platform. The combined Agentforce and Data 360 annual recurring revenue surpassed $2.9 billion, growing more than 200% year-over-year. These represent real enterprise adoption of AI-powered automation at scale, not just pilot programs.
The AI-powered automation thesis is straightforward. Enterprises spend enormous resources on repetitive customer service, sales qualification, marketing orchestration, and case management tasks. Agentforce deploys AI agents that handle these workflows autonomously, reducing headcount requirements while improving response times and consistency. The value proposition resonates because it directly ties AI deployment to measurable cost savings, not vague productivity promises. That makes the sales conversation easier and the ROI calculation clearer for CFOs evaluating AI investments.
Subscription revenue remains Salesforce's backbone. The recurring model provides stability during macro uncertainty, and customer retention rates continue to exceed industry averages. The challenge is that subscription growth alone no longer excites growth-oriented investors. They want to see AI agents driving incremental revenue, not just protecting the existing base.
Margin improvement is the underappreciated lever. As Agentforce deployments scale, they reduce Salesforce's own cost-to-serve, improving operating margins without requiring additional headcount. This dual benefit, external revenue generation and internal cost reduction, is the structural advantage of selling AI automation tools. If Salesforce can demonstrate margin expansion alongside Agentforce revenue growth, the narrative shifts from lagging software name to AI automation leader.
The critical question for the second half of 2026: can Agentforce's $800 million run rate accelerate toward $2-3 billion by fiscal 2027? If the tripling trajectory continues, Salesforce will have the AI revenue story that the market currently discounts. The stock at $185.66 reflects skepticism about execution speed. The data says the platform is working, but the market wants faster proof. Salesforce's core engine is stronger than the stock price suggests, but the AI agent narrative needs more quarters of acceleration before conviction rebuilds.
Oracle (ORCL): The Underrated AI Infrastructure Play
Oracle has undergone the most dramatic transformation of any legacy enterprise technology company in 2026, and the market is still debating whether to value it as a cloud infrastructure giant or a debt-laden transition story. As of early June 2026, ORCL was trading near $219.89 with a market cap of approximately $632 billion. The stock has fallen more than 50% from its September 2025 peak, yet the underlying business momentum is arguably the strongest it has been in over 15 years.
The numbers that matter most tell a compelling story. Oracle's Q3 FY2026 delivered total revenue of $17.19 billion, up 22% year-over-year, with both organic revenue growth and non-GAAP EPS exceeding 20% for the first time in more than 15 years. That inflection point is significant. Total cloud revenue hit $8.91 billion, up 44%. Oracle Cloud Infrastructure surged 84% to $4.89 billion. The SaaS segment grew 13% to $4.03 billion. For Q4, Oracle guided revenue growth of 19-21% and non-GAAP EPS of $1.96-$2.00. The full-year target stands at approximately $67 billion, and FY2027 guidance has been raised to $90 billion, a staggering jump reflecting confidence in its AI infrastructure contracts.
The AI partnerships are unprecedented. OpenAI, Meta, and NVIDIA have signed some of the largest cloud infrastructure contracts in the industry with Oracle. Remaining Performance Obligations, the measure of contracted future revenue, reached $553 billion by Q3, growing 438% year-over-year. That backlog represents binding long-term commitments from the most important AI developers in the world. Oracle and OpenAI are pressing ahead on a massive data center in Michigan, with top leadership from both companies appearing alongside government officials at the groundbreaking ceremony in June 2026.
Enterprise demand is accelerating because Oracle's second-generation cloud architecture proved uniquely suited for large-scale AI model training. The database monopoly gives it a wedge: enterprises running Oracle databases are natural customers for Oracle's AI cloud, creating a flywheel that competitors cannot easily replicate.
The risk side is equally dramatic. Oracle committed approximately $50 billion in capital expenditures for FY2026, pushing free cash flow temporarily negative. Long-term debt surpassed $100 billion, and the company is exiting nearly 30,000 employees, representing 18% of its global workforce, even as business momentum accelerates. Concentration risk is real: a significant portion of future revenue depends on a few large AI customers. But management sees this as a necessary transformation, betting that the $553 billion backlog converts to revenue faster than capital deployment drains cash. Oracle is no longer a database company. It is an AI infrastructure platform with a $90 billion revenue target for 2027. The question is whether the market rewards that transformation before cash flow turns positive again.