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Gartner Cuts Revenue Growth Forecast Amid AI Concerns and Slowing Contract Value

Gartner cuts its revenue growth forecast, citing slowing contract value growth and potential risks from generative AI, as it allocates $1.05 billion for share buybacks.

Gartner, the global research and advisory firm, has reported a strong performance for the third quarter of 2025, exceeding earnings estimates and achieving record share repurchases. Despite this success, the company later revised its revenue growth guidance downward, citing a slowdown in contract value growth driven by tariff-related decision delays and ongoing budget pressures. As the market anticipates upcoming earnings, investors are increasingly focused on potential cyclical weaknesses in Gartner’s core research business and the implications of generative AI on its value proposition.

To invest in Gartner, stakeholders must be confident that its research, conferences, and consulting services will remain indispensable for decision-makers, even as clients explore generative AI and tighten their budgets. The recent cuts to revenue guidance and anticipated profit declines have heightened scrutiny on Gartner’s near-term catalysts and risks. Specifically, the key questions are whether contract value growth will stabilize and how susceptible Gartner’s subscription model may be to cheaper, AI-driven alternatives.

A notable highlight from Gartner’s recent reports is its record share repurchase program, during which the company allocated approximately $1,049.19 million to buy back 3,953,532 shares under an expanded authorization. This substantial capital return occurs alongside a backdrop of declining contract value growth and softer earnings, raising concerns about whether cash generation can adequately support both ongoing buybacks and investments in developing AI tools, such as AskGartner.

Investors must consider that if generative AI starts to displace Gartner’s subscription research more rapidly than anticipated, it could significantly impact the firm’s revenue and profitability. Gartner’s long-term narrative anticipates revenues of $7.4 billion and earnings of $821.8 million by 2028. This projection relies on achieving a 4.7% annual revenue growth rate coupled with a decrease in earnings of about $0.5 billion from the current level of $1.3 billion.

Current fair value estimates for Gartner show a range from $283.14 to $420.71 per share, revealing significant divergence among analysts. These valuations should be weighed against existing concerns about how generative AI could exert pressure on Gartner’s core research revenues in the future, potentially undermining its profitability and business resilience.

For investors looking to navigate these dynamics, the opportunity to create an alternative narrative around Gartner’s potential is available. Such perspectives could lead to extraordinary investment returns, particularly if the prevailing narratives fail to account for the transformative power of AI in the research sector.

As the market continues to respond to developments in AI and its application within various industries, including healthcare, stakeholders would be wise to monitor Gartner’s performance closely. Companies across sectors are increasingly integrating AI solutions for applications ranging from early diagnostics to drug discovery, suggesting a broader shift that may redefine competitive landscapes. Investors should position themselves accordingly, considering both established giants and emerging players with market capitalizations under $10 billion.

For those interested in tracking Gartner’s progress and the evolving landscape of AI, tools and platforms are becoming readily available that assist with stock management and provide insights into fair value assessments. These resources empower investors to make informed decisions based on comprehensive data analysis and market context.

As the sector continues to evolve, understanding the implications of generative AI on established business models like Gartner’s will be crucial in determining the future of investment narratives. The interplay between traditional research and emerging AI capabilities could spell significant changes in how decision-makers access and utilize information, warranting close attention from investors and analysts alike.

For further insights, detailed analysis, and projections regarding Gartner and other stocks in the tech sector, investors can explore the latest reports and resources available online.

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The AiPressa Staff team brings you comprehensive coverage of the artificial intelligence industry, including breaking news, research developments, business trends, and policy updates. Our mission is to keep you informed about the rapidly evolving world of AI technology.

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