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The ‘AI ROI paradox’ |
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To make better sense of the numbers, I asked chief information officers what they thought of Gartner’s IT spending forecast, and how their own AI and tech budgets are shaping up. |
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Mike Trkay, CIO and chief customer officer of analytics software company FICO, said that while Gartner’s projection appears expansive, overall enterprise budgets remain tightly constrained. |
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“Organizations are making difficult trade-offs,” Trkay told me. “IT leaders are actively cutting costs in traditional services and routine hardware refreshes to fund the massive processing requirements of AI, particularly infrastructure and data foundation work.” |
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When it comes to tracking AI spending on the corporate budget, Trkay said the technology is no longer a separate line item. Instead, it is woven into multiple lines across the IT budget. |
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Yet the bigger problem is what Trkay described as an “AI ROI paradox.” Even while AI budgets are being funded aggressively, leaders can’t yet draw a straight line to the bottom line, meaning ROI hasn’t caught up to investment, he said. |
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To Mike Kempe, CIO of audit and consulting firm Grant Thornton, the Gartner report comes as no surprise—but with one caveat. |
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“It’s clear that technology spending is still growing, but I don’t think companies are spending more simply for the sake of spending more,” Kempe told me. “The conversations I’m having with clients, fellow CIOs, boards and others is much less about whether they should invest in AI and much more about where they’ll get the biggest return.” |
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So what exactly are those areas? They’re certainly not flashy, according to Kempe, and typically involve projects that automate manual processes or help people make decisions faster in departments like finance, risk, operations and client service. |
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“I strongly believe that we are moving beyond the phase where companies measure success by how much they spend on AI. The focus now is on how quickly they can turn those investments into real business value,” Kempe added. |
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Sastry Durvasula, chief operating officer of TIAA, said the financial services organization is directing resources toward the areas where Gartner shows growth accelerating, including AI-optimized infrastructure, cloud platforms and intelligent software. |
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“We are four years into our AI journey and well past experimentation,” Durvasula told me. “We have deployed dozens of production use cases across operations, client engagement, and shared services.” |
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Durvasula said TIAA is primarily focused on AI-powered fraud prevention and cybersecurity, and redesigning how employees get work done with AI across the enterprise. |
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“Gartner’s own analysts note this is not a rising tide that lifts all boats,” Durvasula added. “The organizations that will lead are those with mission alignment, governance discipline and the operational focus to move from pilots to measurable outcomes.” |
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Are you feeling the budgetary pressures that Gartner identifies? Send your feedback to me at belle.lin@wsj.com (if you’re reading this in your inbox, you can just hit reply). |
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Nvidia and AWS Expand Partnership |
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Nvidia CEO Jensen Huang. MANAMI YAMADA/REUTERS |
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AWS is deploying an additional two million GPUs starting this quarter through the second of fiscal 2029, according to Nvidia CFO Colette Kress, speaking on a conference call after the chip giant’s earnings report that afternoon. |
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The companies also plan to deepen their work together across AI factories, CPUs, networking, open models, data processing and robotics, they said in a press release. |
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Elsewhere in Nvidia news: |
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• Blowout second-quarter results sent the chip maker’s shares surging 8.7%, their steepest one-day climb since April 2025, adding $442 billion to the company’s market value, WSJ reports. |
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• Nvidia executives defended the company’s use of financial guarantees and equity investments to help customers buy its AI chips. The chip maker argued that its sales “flywheel” is more than robust enough to fund the financial support it gives frontier AI labs and data-center developers, WSJ reports. |
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• The chip company paused some deals in a new financing initiative that offered credit support to AI cloud providers in exchange for a share of revenue, WSJ reports. Some Nvidia employees expressed concern to current and potential customers that the program could draw antitrust scrutiny, and said there are sensitivities around the extent to which the chip giant can dictate how their customers do business. |
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On Our Radar |
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• A federal judge ruled late Thursday that the Trump administration violated Anthropic’s First Amendment rights by blacklisting the AI company as a supply-chain risk, The Wall Street Journal reports. |
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• South Korea plans to give its entire population free access to AI services, the first major state-led offering treating the technology akin to a public utility. The program seeks to connect more South Koreans to homegrown AI chatbots with the goal of advancing the country’s push for AI sovereignty, WSJ reports. |
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• Workday reported a higher profit and rising revenue in the fiscal second quarter, driven by growing adoption of its AI agents, WSJ reports. |
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• A wave of cyberattacks driven by AI is coming, and companies have a narrow window to defend themselves. That was the message of a letter published on Thursday by OpenAI and more than 100 major technology companies and others, the New York Times reports. Signatories included Google, Microsoft and Anthropic, as well as cybersecurity and financial firms such as CrowdStrike. |
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• WSJ features columnist Jamie Waters wrote about his surprise when an uninvited guest crashed his family vacation: his mom’s AI chatbot. Or, as his mom calls the bot, “The nice man who answers all my questions.” |
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The WSJ Technology Council |
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The WSJ Tech Council brings together CIOs, CTOs and CISOs advancing innovation and shaping the future. Join this trusted community where tech executives connect with peers to explore emerging trends and gain the perspective they need to stay ahead of disruption. |
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