In this episode of Uphoff on Media, Tony Uphoff examines how the leading B2B analyst firms Gartner and Forrester are being upended by agentic AI, turning the very companies that once defined disruption into case studies of it. He outlines the dramatic financial declines of both firms—Gartner’s market cap falling from $45 billion to $12 billion and Forrester’s from $300 million to $105 million—highlighting drops in consulting revenue and a shift toward event‑based offerings. Uphoff cites buyer‑behavior data showing a 63 % drop since 2022 in the use of analyst reports, with 80 % of buyers now sourcing software recommendations from AI tools like ChatGPT. He explains “agentic arbitrage,” the risk that AI agents can complete tasks across systems without human interaction, threatening $234 billion of enterprise‑software spend. The episode points out that both firms have failed to apply their own AI disruption models to themselves, exposing a blind spot. Their strategic responses—expanding conferences, building AI‑driven interfaces, and reallocating budgets—are presented as early signals of how information businesses can survive. Uphoff then introduces a six‑question “durability test” that scores a business on dimensions such as deliverable type, source material, personalization, buyer justification, AI replaceability, and trust, offering concrete actions based on the total score. He frames the broader lesson that B2B information firms consist of a cheap‑to‑scale content layer and a high‑value connection layer; AI commoditizes the former while the latter becomes the sustainable moat. The episode ends with a call to download the framework, run the test, and a personal note about his own analyst work, urging listeners to act before the market forces the change.
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Hey there, it's Tony. Welcome to Uphoff on Media podcast. Today's episode takes a unique look at technology disruption. Specifically, what happens when the firms that grade your risk for disruption get disrupted themselves? Yeah, talk about irony. The technology analyst firms Gartner and Forrester are being disrupted by Agentic AI, and the speed and severity of the disruption creates a case study for every B2B leader. In addition to listening to the podcast version, please make sure to read the post on Uphoff on Media on Substack so you can download the business durability chart that you can use to score your business and manage appropriately. This episode is titled, What Does It Mean When the Company That Grades Everyone Else's Disruption Gets Disrupted? Okay, let's get to work. Gartner and Forrester spent decades explaining disruption to everyone else. Their own balance sheets are the case study now. Gartner stock is down roughly 71% from its November 2024 high. Market cap fell from more than $45 billion to $12 billion. Forrester is worse off. Market cap near $105 million, down from roughly $300 million on a full-year net loss of $119.4 million. These are the 2 firms B2B buyers have paid for decades to tell them which companies were about to get disrupted. Neither one saw its own name on that list. The numbers are blunt about where the pain is. Gartner's consulting revenue fell 12.8% in the 4th quarter. Forrester's strategy consulting bookings dropped more than 50% in a year, and the firm is exiting strategy consulting entirely alongside an 8% workforce cut announced in February. CEO Gene Hall on Gartner's Q4 earnings call put the case plainly. Quote, executives have responded to this by slowing and deferring everything possible. This makes for a much tougher selling environment, end quote. While research and consulting revenue fell at both firms, Gartner's conferences segment grew 11% for the full year to $645 million. Forrester's event business, even after cutting event days, is what the firm is redesigning around rather than walking away from. The written word and the paid opinion are getting commoditized inside the very companies built to sell them. The room is not. Buyers left before it showed up in the balance sheet. Only 13% of B2B buyers used an analyst report in their most recent purchase decision, down 63% since 2022, according to G2's 2023 26 buyer behavior report. 8 in 10 have sourced a software recommendation directly from ChatGPT or Google's AI mode in the last 2 years. That's not a preference shift, that's a category in decline. The same report found what should worry Gartner and Forrester more than either stock chart. Buyers are moving from modeled ROI, a number an analyst estimates from the outside, to observed ROI, proof pulled from their own usage data. The product is starting to make its own business case. The messenger is the part getting cut. Agentic AI does something more specific here than simply get smarter at answering questions. Gartner's own July 2026 research puts $234 billion of enterprise software spend at risk from what it calls agentic arbitrage, agents completing a task across systems without a human ever opening the app that used to charge for access. A synthesized report is exactly the kind of task that collapses first under that pressure. It exists to turn public and licensed information into a judgment a human reads. An agent can now do that synthesis in the time it takes to ask the question at a marginal cost close to zero. The company that built a model to grade AI disruption never ran it on itself. Forrester spent part of 2026 building its own AI disruption model, a tool scoring how exposed other companies' business models are to AI substitution based on labor intensity, data advantages, and switching costs, among other factors. As far as I can find, Forrester has never pointed that model at itself. It would be the easiest assignment on the team's desk. One analyst, one afternoon, the same inputs it asks of everyone else. That silence is its own data point. Gartner's Magic Quadrant, meanwhile, has carried a credibility tax since long before agentic AI existed. Courts have ruled it isn't technically pay-to-play. Gartner won a lawsuit on exactly that claim in 2014, but analyst relations practitioners will tell you privately that meaningful analyst time requires becoming a paying client, which functions the same way even when it isn't the same thing legally. AI didn't create that trust problem. It just removed the last reason buyers had to put up with it. This is the same argument I made 3 months ago. The numbers just caught up to it. In the Vertical Intelligence Company, I wrote that the cost structure protecting large research firms like Gartner and Forrester had come down and that agentic AI would be brutal to commodity information while amplifying the value of what it can't replicate: domain depth, proprietary data, and trusted community. That was a prediction in June. It's on the balance sheet in September. Watch what they do, not what they say. Both firms are already showing what they believe is worth keeping, and they're doing it with budget, not press releases. Forrester's own AI product line grew unique visitors 55% year over year and prompt volume 65%, funded in part by savings from exiting strategy consulting this year. That's not a research firm defending its old business. That's a research firm using the disruptor's own technology to reinvent itself on the bet that owning the interface will be worth more than owning the content. the interface pulls from. Neither company is walking away from the room either. Gartner is expanding it. Local C-level communities, longer inquiry days, more destination events on top of a conferences segment that already grew 11% while research fell. Watching where a company under this much pressure chooses to spend tells you more than anything on its earnings call. Strategy consulting isn't an isolated casualty. It's the leading edge of a category. Businesses that sell synthesized judgment as a subscription or a report that also includes sell-side equity research, credit rating agencies, and most trade press, mine included. None of those industries have been tested at Gartner scale yet. All of them are running the same experiment, just on a slower clock. I'm not writing this from outside the blast radius. Look, I contribute as an analyst for Cloud Wars. I run an advisory practice that sells judgment for a fee. If the argument here is that commoditized content and standardized opinion are the exposed part of an information business, I'm exposed too. And it would be a thinner piece if I pretended otherwise. The line runs through my own work. My opinion on a trend delivered to a broad audience is content, and AI commoditizes it the same way as commoditizing Gartner's research. The intelligence layer is what's left. Domain expertise, decades of pattern recognition, context, and judgment applied to one operator's actual decision. That layer used to reach one client at a time. Agentic AI now lets me deliver it like software, personalized and at software margins. It's the argument I've made since the post-Solo Scale, and Gartner's own numbers are drawing the same line through their business right now, whether the company says so or not. Sort your own information business before the market sorts it for you. Every B2B information research or advisory business is really 2 businesses running under one name, a content and opinion layer and a connection and relationship layer. The content layer scales cheaply, which used to be the entire advantage and is now the entire exposure. The connection layer doesn't scale the same way, which used to look like a limitation and now looks like the only part of the business AI can't touch. To make that split concrete instead of directional, I built the durability test. It's 6 questions, each scored from 1 to 5, where 5 means the hardest for AI to replace. Question 1, what do you actually deliver? A reporter ranking is a 1, a live working session is a 5. Question 2, where does the underlying material come from? Public information synthesized scores a 1, proprietary access nobody else has is a 5. Question number 3, how personalized is the input? The same for every buyer scores a 1. Built around one buyer's situation scores a 5. Question number 4, why does the buyer say they're paying you? Tell me what's happening scores a 1. Be accountable in the room with me scores a 5. Question number 5, could a well-prompted AI produce 80% of it in a minute? Yes scores a 1. Not without you scores a 5. And question number 6, where does the buyer's trust sit? In your brand and methodology scores a 1. In one person's track record scores a 5. Here's where the Uphoff on Media framework can be downloaded and used as a diagnostic tool in your business by visiting Uphoff on Media at substack.com. Add up your 6 scores and act on the range you land in. A score of 22 to 30? Protect it. Your value sits where the AI raises the bar instead of replacing the seat. Use agents to deliver it faster. Score 31 to 21? Split it. You're running 2 businesses under one name. Separate the content lines from the judgment lines this quarter and move your investment to the judgment side. Score 6 to 12? It's time to rebuild it. You're the content layer of your own business, whatever your brand still says on the door. Start with your 10 best accounts and ask what each would pay for that a prompt can't provide. Gartner and Forrester spent 4 decades telling the other companies where they stood. Now the market is telling them. Run the durability test on your own business this week. Gartner and Forrester didn't get to choose when they found out where they stand. You still do. Hey, well, that's it for this episode. If you found this useful, please do one thing: follow the Uphoff on Media podcast on Apple or Spotify and leave a rating. It's the single best way to help other operators find this. I'm Tony Uphoff, back at it next week.
