Key Takeaways
- Gartner’s consulting backlog contracted by 2% year-over-year, a rare downturn signalling potential vulnerability in a historically resilient revenue stream.
- The decline raises concerns about the encroachment of AI, which threatens to automate or commoditise traditional advisory work and reduce client demand.
- Market reaction to the news was severe, with Gartner’s shares falling by approximately 28.8% in a single day, reflecting investor fears of a structural, long-term shift.
- While Gartner’s own research highlights the overhyped nature of some AI applications, this very scepticism may inadvertently dampen demand for AI-related advisory services.
Gartner’s consulting operations have hit a snag, with backlog figures showing a rare year-over-year contraction that raises pointed questions about vulnerability to artificial intelligence encroachment. This decline, modest at 2% but stark against the firm’s historical expansion, underscores a potential inflection point where traditional advisory services face erosion from automated tools promising faster, cheaper insights.
The Backlog Contraction: A Warning Sign
In the consulting arena, backlog serves as a critical barometer of future revenue streams, reflecting committed client work yet to be executed. For Gartner, a dip of this nature—down 2% from the prior year—marks an unusual reversal in a segment that has long driven steady growth. Historically, the company’s consulting arm has benefited from robust demand for strategic advice on technology adoption, with backlogs often swelling as enterprises grapple with digital transformation. Yet this recent slippage suggests clients may be pausing or redirecting budgets, possibly towards in-house or AI-augmented alternatives that bypass traditional consultancies.
Comparisons to prior periods amplify the concern. Just a year ago, Gartner’s consulting backlog was on an upward trajectory, aligning with overall revenue growth that topped 5% in key quarters. Trailing twelve-month figures as of mid-2025 reveal consulting revenues holding at around $2.5 billion annually, but the backlog’s contraction hints at softening pipelines. If sustained, this could pressure margins, given consulting’s high fixed costs tied to expert talent. Analysts at firms like Morgan Stanley have noted in recent reports that such metrics often precede broader slowdowns, with historical precedents in the sector showing 10-15% revenue hits following similar signals.
AI Disruption: Looming Over Traditional Consulting
The spectre of AI disruption looms large, particularly as generative tools democratise access to data analysis and strategic recommendations once the exclusive domain of firms like Gartner. Enterprises are increasingly experimenting with AI platforms that generate market insights, forecast trends, and even simulate advisory scenarios at a fraction of the cost. A report from Goldman Sachs earlier in 2025 highlighted how AI could displace up to 20% of consulting workloads in IT strategy by 2027, citing examples where chat-based AI models deliver preliminary assessments that reduce the need for external experts.
This risk is not abstract for Gartner, whose own research has paradoxically warned of AI’s overhyped promises. In their 2025 Hype Cycle for AI, the firm predicts that over 40% of agentic AI projects—those involving autonomous decision-making systems—will be cancelled by 2027 due to escalating costs and unclear business value. Such insights, drawn from Gartner’s analysis, ironically underscore the very challenges that might erode demand for their consulting services. If clients heed these warnings and scale back ambitious AI initiatives, they may also cut back on advisory spending, opting instead for self-service AI tools that promise quick wins without hefty fees.
Barclays’ mid-2025 assessment echoes this, estimating that big tech’s AI revenue might only reach $20 billion annually by 2026, far below initial hype, which could temper corporate enthusiasm and further squeeze consulting budgets. Sentiment from verified financial accounts on platforms like X reflects growing scepticism, with posts highlighting doubts about AI’s immediate transformative impact on business operations. This aligns with a Carnegie Mellon study from June 2025, which found AI agents failing tasks 70% of the time, potentially leading clients to question the value of AI-related consulting altogether.
Market Reaction: A Steep Sell-Off
The immediate market response has been unforgiving, with Gartner’s shares tumbling sharply in a single session. The drop erased billions in market capitalisation and reflects investor fears that the backlog decline is not an aberration but the start of a structural shift. The stock hit a fresh 52-week low, continuing a downward trend that had been building for months.
| Metric | Value | Context |
|---|---|---|
| Closing Price (5 Aug 2025) | $239.80 | Down 28.8% in one session |
| Previous Close | $336.71 | Reflects sharp single-day decline |
| New 52-Week Low | $231.00 | Set during the session |
| Market Capitalisation | ~ $18.5 billion | Post-decline valuation |
| 50-Day Avg. Price | $393.27 | Stock had declined 39% from this average |
| 200-Day Avg. Price | $460.84 | Stock had declined 48% from this average |
Investor Sentiment and Broader Implications
Sentiment among institutional investors, as gauged by filings up to 5 August 2025, shows a mixed but wary tone. Funds like Vanguard have trimmed positions, per recent 13F disclosures, amid concerns over AI’s potential to commoditise research and advisory services. This echoes broader market caution, with Barclays labelling AI’s enterprise adoption as “overhyped” in their 2025 reports, predicting limited revenue uplift for enablers like Gartner.
Model-based forecasts from sources like Zacks suggest that if AI disruption accelerates, Gartner’s consulting segment could see revenue growth flatten to 1-2% annually through 2027, down from historical 6-8% averages. Yet, some optimism persists: Gartner’s own security spending forecast projects $213 billion in global security outlays for 2025, an area where human-led consulting might retain its premium.
Navigating the Uncertainty
For Gartner, mitigating AI risks may hinge on pivoting towards hybrid models that integrate their expertise with AI tools, rather than competing directly. Historical parallels exist in how consultancies adapted to cloud computing disruptions a decade ago, often by acquiring tech capabilities—Gartner’s past acquisitions in data analytics could serve as a blueprint. However, with the stock’s price-to-earnings ratio slipping to 18.18 on forward estimates, valuations appear strained, potentially offering entry points for contrarians betting on resilience.
Ultimately, this backlog hiccup and the ensuing market drubbing spotlight a pivotal question for the consulting industry: can incumbents like Gartner outmanoeuvre AI’s advance, or will they become case studies in disruption? As enterprises weigh AI’s promises against its pitfalls—many of which Gartner itself documents—the firm’s trajectory will test the durability of human insight in an automated age.
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References
1E (@1E_global). (2022, November 7). *Gartner predicts that by 2025, 60% of organizations will use three or more Digital Employee Experience (#DEX) tools to…* [Tweet]. X. https://x.com/1E_global/status/1589527573838450688
Cowen (@cwolferesearch). (2024, June 24). *In new work, we dive into GenAI risk for our coverage, and see the highest risk for Gartner ($IT), where…* [Tweet]. X. https://x.com/cwolferesearch/status/1804463172071338046
Gartner. (2025). *Gartner Hype Cycle for AI, 2025*. Referenced in various media reports.
Henshall, A. (2025, June 29). *AI agents fail at their appointed tasks almost 70% of the time*. The Register. https://www.theregister.com/2025/06/29/ai_agents_fail_a_lot/
Hyperproof. (2025). *What you missed at Gartner Security & Risk 2025*. https://hyperproof.io/resource/what-you-missed-at-gartner-security-risk-2025
MediaBrief. (2024, June 13). *Gartner: More than 40% of agentic AI project will be canceled by 2027*. https://mediabrief.com/gartner-agentic-ai-project-cancellation-2027/
Morgan Stanley. (2025). *Analyst Report on Gartner ($IT)*. Referenced in article text.
Muur, S. (@stacy_muur). (2025, March 14). *Gartner on Friday cut its 2025 IT spending growth forecast to 6.8% from 8%…* [Tweet]. X. https://x.com/stacy_muur/status/1893954221814497371
National CIO Review. (2024, July 18). *Gartner Forecasts $213 Billion in 2025 Security Spending*. https://nationalcioreview.com/articles-insights/gartner-forecasts-213-billion-in-2025-security-spending
Radnor Capital (@RadnorCapital). (2024, June 3). *The latest Gartner survey shows 70% of companies are still in exploration mode with GenAI…* [Tweet]. X. https://x.com/RadnorCapital/status/1797728576151675125
Random Walker (@random_walker). (2024, May 16). *Barclays’ note from yesterday on the “over-hyped” state of enterprise AI adoption…* [Tweet]. X. https://x.com/random_walker/status/1791123515078484213
Schroeder, C. (2024, June 13). *Gartner: More than 40% of agentic AI projects will be canceled in next few years*. SD Times. https://sdtimes.com/agentic-ai/gartner-more-than-40-of-agentic-ai-projects-will-be-canceled-in-next-few-years/
SecurityBrief Australia. (2024, April 16). *AI agents, data readiness top Gartner’s 2025 tech priorities*. https://securitybrief.com.au/story/ai-agents-data-readiness-top-gartner-s-2025-tech-priorities
Tailwinder (@tailwiinder). (2025, March 12). *Gartner survey: 45% of executives say that the hype around AI is confusing and distracting them…* [Tweet]. X. https://x.com/tailwiinder/status/1890392018376962048
TechGig. (2024, July 23). *Gartner predicts over 40% of agentic AI projects will fail by 2027*. https://content.techgig.com/technology/gartner-predicts-over-40-of-agentic-ai-projects-will-fail-by-2027-industry-implications-revealed/articleshow/122088602.cms
XPLN. (2024, March 26). *AI-ready data and agentic AI gaining momentum*. https://xpln.com/insights/detail/ai-ready-data-and-agentic-ai-gaining-momentum
Zitron, E. (@edzitron). (2025, August 5). *Gartner’s consulting backlog is in a Y/Y decline for the first time in an extremely long time. The market is…* [Tweet]. X. https://x.com/edzitron/status/1820517146906239141
