However, at the same time, it is an illusion of complete intelligence. Since ChatGPT gives strong answers, people assume it has full visibility into the market. But this is a misconception. ChatGPT operates on generalized knowledge, not real-time market intelligence. It does not, for instance, have actual supplier pricing or deal structures or contract concessions or negotiation leverage. There is no realtime visibility into what deals are really closing at nor is there insight into supplier performance across real deployments. The is no access to promotions, incentives or non-public offers. In other words, generative AI tools tell your customers what should happen; they do not tell them what actually happens. That gap is where advisors have always created value. The biggest threat to technology advisors is not AI replacing them. The biggest threat is advisors becoming indistinguishable from AI. If you and your clients are using the same AI, asking the same questions and getting similar answers, then what exactly makes you different? At this point, you are no longer the advantage. You are a layer, and layers can get removed. Consider a real-world scenario, which is already happening. A mid-market procurement team is preparing for a network refresh. Instead of reaching out to an advisor, they begin with ChatGPT to map out requirements, generate a draft RFP, identify potential suppliers and establish baseline pricing expectations. By the time they engage an advisor, if they do, the most valuable part of the process may already be complete. At that point, the advisor is no longer shaping the strategy. They are reacting to it. And that is where margin compression, reduced influence and lost opportunities begin. Friend and Foe To be clear, ChatGPT is a powerful tool. Advisors are using it to accelerate research, draft proposals, analyze large data sets and prepare for meetings. Used this way, AI enhances productivity and allows advisors to manage more opportunities without adding headcount. It makes you faster and more efficient. But efficiency is not differentiation. ChatGPT becomes a threat when it replaces your perceived value. If a client believes they can research suppliers, compare options, build an RFP and evaluate pricing without you, your role becomes optional. And if you are relying on the same tool to deliver your value, you’ve just reinforced that belief. In today’s environment, access to information is no longer valuable. What matters is what you bring beyond it. The advisors who win will operate in three areas AI cannot replace: • Proprietary intelligence – real pricing, real deals, real outcomes; • Execution – managing the process end-to-end; and • Validation – ensuring decisions are correct and complete. This is the new standard. Indeed, the role of the technology advisor has changed. You are no longer just a provider of answers. You are a translator of reality. Your client needs to understand that ChatGPT is a starting point, not a decision engine. It lacks real market visibility. It cannot execute or negotiate, and It does not guarantee outcomes. If you don’t educate them, they will assume they already have what they need. And once that happens, your value becomes optional. Not All AI Is Created Equal Here is the reality many advisors are beginning to recognize: you cannot outwork or outpace AI, and you cannot compete using the same tools as your client. But there’s a deeper issue most advisors haven’t considered: not all AI is created equal. Most advisors, and their clients, are using a single AI model with generalized knowledge and fixed limitations. That’s not a strategy. That’s a dependency. To stay relevant, advisors need more than access to AI. They need the right AI, applied the right way and built specifically for their role. Tools such as Clarus Resolve represent a new category of advisor enablement: purpose-built AI designed specifically for how technology advisors sell, advise and operate. Recognized for AI-driven business transformation, Resolve is built to extend the capabilities of the advisor, not replace them. Rather than relying on generic AI tools, Resolve provides digital teammates specialized in supplier research, contract analysis and billing review. It offers structured workflows aligned to the full technology lifecycle, as well as tools that allow advisors to seamlessly move from research to RFP to validation. But what truly separates Resolve is what powers it behind the scenes. Resolve is built on a multi-model AI architecture, leveraging multiple leading large language models (LLMs) in the background. This means advisors are not locked into a single AI engine or limited by the strengths and weaknesses of one provider. Instead, Resolve continuously evolves as AI evolves. As new models emerge, improve and specialize, Resolve adapts without forcing advisors to change platforms, workflows or processes. In a rapidly changing AI landscape, that matters. Because the risk isn’t just using AI, it’s using the wrong AI or getting stuck on one that can’t keep up. Resolve future proofs the advisor by ensuring access to the most advanced AI capabilities as they emerge and the flexibility to adapt without disruption. It provides consistency in how work gets done, regardless of underlying model changes. On top of that foundation, Resolve also enables advisors to engage earlier in the buying cycle, deliver deeper, more accurate insights, validate clientdriven strategies before mistakes are made, and increase speed without sacrificing quality. Resolve is often described as “ChatGPT on steroids.” More accurately, it is AI built specifically for the trusted advisor, powered by the best intelligence available today and ready for what comes next. Generic AI Scan the code for a trial of Resolve 20 CHANNELVISION | SPRING 2026
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