Salesforce unveiled Claudeforce with Anthropic and beat Q2 expectations.
Revenue hit $11.3 billion, up 11 percent.
Shares jumped 12 percent.
What happened
Salesforce announced Claudeforce, built with AI model builder Anthropic, which brings Claude's services together with Salesforce's enterprise data and workflows. The company also reported Q2 revenue of $11.3 billion, up 11 percent on a year ago, beating analysts' expectations, and its share price jumped 12 percent.
Why it matters
Salesforce has been hit by the SaaSpocalypse, with its share price down more than 20 percent this year, as AI models replace business application software. The new offering and results suggest a path to recovery, with bookings growing triple-digit year on year and 50 percent of bookings coming from customers refilling Flex Credits.
What to watch
Customers will be watching whether Claudeforce works and how much it costs, with payment options including consumption, basic usage, or by outcome. Flex Credits, a consumption-based payment model, is central to the strategy, though Gartner has warned about unplanned consumption and potential sudden cost increases.
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Salesforce's announcement comes as it fights the narrative that AI models will replace traditional business application software, a trend that has cut its share price by more than 20 percent this year. The new Claudeforce offering and strong Q2 results appear to have reassured investors, but the company faces questions about how customers will navigate a growing list of overlapping products, including Agentforce, Headless 360, SlackBots, and now Claudeforce.
The company's emphasis on flexible, consumption-based pricing via Flex Credits is a key part of its monetization strategy, but it carries risks. Gartner has warned users about unplanned consumption of Flex Credits, noting that rates may change unilaterally by the vendor and exposing buyers to unexpected cost increases. Salesforce President Robin Washington said the company is comfortable with its monetization strategy, but the long-term viability of these models may depend on how they are received by customers.
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