Key Takeaways
- IBM's preliminary Q2 revenue of $17.2B falls $660M short of Wall Street expectations
- CEO Arvind Krishna says IBM 'faltered' in adapting to shifting market conditions
- Enterprise IT budgets are moving from traditional software to AI infrastructure spending
IBM expects second-quarter revenue of $17.2 billion, missing Wall Street's $17.86 billion estimate by roughly $660 million. The stock dropped 17% in premarket trading Tuesday. CEO Arvind Krishna told investors the company "faltered" in adapting to how enterprise customers now spend their IT budgets.
The culprit is not weak demand overall. It is a reallocation. Enterprises are pouring money into AI infrastructure, meaning servers, storage, and memory, at the expense of traditional software and consulting. IBM, which earns a large chunk of revenue from software and services, felt the squeeze.
What went wrong for IBM this quarter?
Krishna's investor letter was unusually blunt. He admitted that "numerous large deals" failed to close as expected. The company's preliminary adjusted earnings per share came in at $2.93, below the $3.02 analysts had projected.
This is not a story of IBM losing to competitors in its traditional markets. It is a story of those markets shrinking while AI infrastructure grows. When a CIO gets a fixed budget and faces board pressure to show AI progress, buying GPU servers from NVIDIA often wins over renewing an IBM software contract.
The 17% premarket drop reflects how much investors had priced in IBM's AI narrative. The company has promoted its watsonx platform and AI consulting services aggressively. But this quarter's results suggest that selling AI tools and selling AI hardware are two different games.
Why AI infrastructure is cannibalizing traditional IT
Enterprise IT budgets are not shrinking. They are moving. Companies building AI capabilities need physical infrastructure first: GPUs, high-bandwidth memory, specialized storage, and networking. That spending flows to NVIDIA, AMD, and cloud hyperscalers, not to traditional enterprise software vendors.
IBM's position is awkward. The company has pivoted toward AI services and software, but those sales depend on customers having AI infrastructure in place. Right now, many enterprises are still buying that infrastructure. They will need software and consulting later. The question is whether IBM can wait.
This dynamic explains why NVIDIA's market cap now exceeds $3 trillion while legacy tech giants struggle. The AI spending wave is real, but it flows through specific channels.
What this means for enterprise IT planning
CIOs watching IBM's miss should note two things. First, vendor relationships that seemed stable may face pressure as budgets shift. Your IBM rep or your Oracle rep or your SAP rep is competing against your infrastructure team's GPU wishlist. Second, the "AI spending" bucket is not monolithic. Hardware, software, and services follow different timelines.
Krishna's admission that deals did not close suggests enterprise buyers are hesitating. They may be waiting for clarity on which AI platforms will win, or they may be diverting funds to infrastructure. Either way, 2025 is shaping up as a year where software vendors will have to fight harder for budget.
Logicity's Take
IBM's miss is a warning shot for every enterprise software vendor. The AI hype cycle has created real budget pressure, and infrastructure spending is winning. CIOs should expect aggressive discounting from legacy vendors like IBM, Oracle, and SAP as they compete for shrinking slices of the non-infrastructure pie. If you are mid-contract with IBM, this may be the moment to negotiate renewal terms. For AI-native tools in adjacent spaces, platforms like Jasper or Copy.ai for content, or Perplexity for research workflows, pricing remains competitive precisely because the market is still fragmented.
Can IBM recover?
IBM has weathered worse. The company has been in business since 1911 and has reinvented itself multiple times. Its consulting arm remains large and profitable. The watsonx platform has enterprise customers. But this quarter reveals a timing mismatch: IBM is selling AI outcomes while customers are still buying AI inputs.
The next few quarters will show whether this was a stumble or a structural problem. If enterprise AI infrastructure buildouts mature and companies start spending on software and services, IBM is positioned to benefit. If the infrastructure phase drags on, IBM faces a longer drought.
Frequently Asked Questions
How much did IBM miss its Q2 revenue estimate by?
IBM's preliminary Q2 forecast of $17.2 billion fell about $660 million short of the $17.86 billion Wall Street expected, a gap of roughly 3.7%.
Why did IBM stock drop 17%?
The stock dropped because revenue missed estimates and CEO Krishna admitted the company failed to close numerous large deals, suggesting deeper sales execution problems.
What is causing enterprise IT spending to shift?
Companies are prioritizing AI infrastructure purchases, including GPU servers, storage, and memory, over traditional software and consulting services.
Is IBM's AI business growing?
IBM has promoted its watsonx AI platform and consulting services, but this quarter's results suggest AI software sales are not offsetting declines in traditional software revenue.
Which companies benefit from AI infrastructure spending?
NVIDIA, AMD, and major cloud providers like AWS, Azure, and Google Cloud are the primary beneficiaries of the current AI infrastructure spending wave.
Shows how AI-native companies are attracting capital while legacy vendors struggle
Need Help Implementing This?
If your IT team is navigating budget shifts between AI infrastructure and legacy software, Logicity's consulting partners can help you build a roadmap. Contact us at consulting@logicity.in.
Source: Tech-Economic Times / ET
Manaal Khan
Tech & Innovation Writer
Produced with AI assistance and reviewed by the Logicity editorial team. Learn more in our Editorial Policy.
