ARMONK, New York, March 17, 2026, 10:59 EDT
IBM has wrapped up its $11 billion deal for Confluent, folding the data-streaming specialist into its broader enterprise AI and hybrid cloud strategy. IBM stock edged up 1.2% late Tuesday morning in New York. Trading in Confluent’s Class A shares was halted premarket; the stock is set for suspension on March 18.
This is coming to the forefront as firms push to shift AI out of the test lab and into the daily grind — they need real-time data, not last night’s uploads. IBM and Confluent say their joint platform is built to keep fresh data streaming between on-prem and hybrid cloud setups, so AI agents — those apps that can act across business tools with minimal human direction — aren’t stuck working from stale numbers.
Krishna likened Confluent’s technology to the role Red Hat played in IBM’s hybrid-cloud push, calling it the backbone of IBM’s AI plans, the Wall Street Journal reported. IBM, for its part, is sticking with its $4.5 billion productivity gain from AI—an outcome it’s been highlighting as it expands its AI offerings.
IBM listed watsonx.data, MQ, webMethods Hybrid Integration, and IBM Z among the integrations available on day one. “Transactions happen in milliseconds and AI decisions have to move just as fast,” said Rob Thomas, who leads IBM Software. For Confluent, joining IBM opens up bigger ambitions—co-founder and chief executive Jay Kreps said the deal allows Confluent to scale its data-streaming business much further. Confluent claims its platform, which is built on Apache Kafka—the open-source staple for streaming data—is already used by more than 6,500 enterprises, including 40% of the Fortune 500. IBM Newsroom
IBM agreed in December to pay $31 a share for Confluent, marking a 34% premium over the stock’s prior close. The company plans to use existing cash for the acquisition, projecting it will boost adjusted core earnings in the first full year and add to free cash flow by year two. The Confluent transaction comes after IBM’s $6.4 billion HashiCorp purchase last year and its $34 billion buyout of Red Hat in 2019.
IBM’s finish keeps its momentum going in the AI space—a field where heavyweights like Amazon Web Services and Microsoft still dominate on the cloud front. Unlike those giants, IBM has been appealing to businesses looking to deploy AI across several cloud environments or on their own systems, instead of sticking with just one provider.
Krishna rejected claims that AI is just a workforce reducer for IBM. As reported by the Journal, he said there’s been no overall drop in jobs at IBM because of AI, and headcount may even go higher—consulting and tech roles in particular—despite shifts in more routine areas like customer service, software, HR, and payroll.
Analysts get the rationale, but no one’s promising it will pay off. Sanjeev Mohan at SanjMo pointed out that as enterprises shift AI pilots into full-scale production, many hit a data architecture snag—AI agents need current, real-time signals rather than outdated records. IBM’s stack makes the most sense for customers whose systems already play well with that model, Mohan said. For Michael Ashley Schulman at Running Point Capital, Confluent is simply the “critical data firehose” powering the AI surge. IBM, though, flagged that the anticipated upsides of the deal might not materialize. PR Newswire
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