Salesforce posts AI-fueled surge
Salesforce reported $41.5B in fiscal 2026 revenue with its Agentforce AI platform hitting an $800M run rate and announced a $50B buyback—momentum that masked concerns about its complex integration architecture. The push toward “agentic AI” is driving enterprise demand but is also reopening questions about platform fatigue and integration costs for customers. (ad-hoc-news.de) (seekingalpha.com)
Salesforce said it has closed roughly 29,000 Agentforce deals and reported consuming nearly 20 trillion tokens, which it converted into more than 2.4 billion “agentic work units” to date. (salesforce.com)) The company reported fourth-quarter subscription and support revenue of $10.7 billion and disclosed a remaining performance obligation of $72.4 billion for the fiscal year. (businesswire.com)) Salesforce logged $15.0 billion in operating cash flow and $14.4 billion in free cash flow while returning $14.3 billion to shareholders in the fiscal year, including $12.7 billion in share repurchases, and it raised the quarterly dividend to $0.44 per share. (businesswire.com)) Management set guidance for the next fiscal year at $45.8 billion to $46.2 billion in revenue and $13.11–$13.19 in adjusted EPS, a midpoint implying roughly 10–11% topline growth that many analysts called a deceleration from prior multi-year trends. (cnbc.com)) Independent commentary and analyst pieces flagged Salesforce’s evolving integration architecture as a potential “integration tax,” arguing the company’s layered, agentic approach increases implementation complexity and customer integration costs. (seekingalpha.com)) Customer-cost signals include earlier product price increases—Salesforce implemented average price hikes tied to AI integration last year—that firms say compound the total cost of ownership for AI deployments. (cxtoday.com)) Market coverage questioned the tradeoff between returning capital and funding AI investments, noting commentators who say the repurchase program shifts emphasis toward shareholder returns even as management points to strong AI adoption metrics. (ainvest.com))
