GM to the Top 1% ☕
A buyer told me last month, with total certainty, that he had already found the best option and just needed to run the process. He had used three AI tools to compare vendors. He was sure.
I asked him one question about how the leading option handled a specific edge case in his environment. He went quiet. Then he said, "I did not think about that." The whole confident conclusion wobbled in one sentence.
He was not stupid. He was well researched and completely certain and quietly wrong, all at the same time.
💡 THE CONFIDENCE QUALITY GAP
Here is the finding hiding under all the AI adoption stats. 89% of revenue organizations now use AI, buyers self-serve more than ever, and buyer confidence is at an all time high. But decision quality has not improved with it. Regret, stalled deals, and reversed decisions are climbing at the same time confidence is.
That gap, between how sure a buyer feels and how good their decision actually is, is the most valuable opening a seller has right now.
Here is why it exists. AI is excellent at gathering and summarizing public information. It is terrible at knowing what a specific buyer failed to ask. It gives a clean, confident answer to the question it was given, which makes the buyer feel certain, while the real risk sits in the question they never thought to type.
The buying group makes this worse. What used to be a formal committee is now a loose network of influencers, each doing their own AI research, each arriving confident, none of them stress tested by a person who has seen this decision go wrong fifty times.
Your job is not to add information to a confident buyer. It is to find the expensive question they did not ask, and ask it before the contract is signed instead of after.
🔧 THE STRESS TEST FRAMEWORK
Sell into the gap between certainty and correctness.
1. Respect the research, then probe it: Never tell a confident buyer they are wrong. Ask the question that lets them discover it. "How did the option you are leaning toward handle X" beats "you are missing X."
2. Find the question they skipped: Every AI-built shortlist has a blind spot, the situational risk a tool could not see. Your experience is the map to it. Name it out loud.
3. Make the risk concrete: Confidence dies against specifics. Turn the abstract gap into a real scenario in their world, with a real cost, on a real timeline.
4. Become the person who catches it: The seller who surfaces the expensive mistake before it happens earns a role no tool can fill. That is how you re-enter a deal a machine tried to close without you.
🎯 THIS WEEK'S HOMEWORK
Pick one deal where the buyer seems confident and self-directed. Write down the single question their research almost certainly did not answer, the one that could blow up their leading choice. Bring it to your next conversation, framed as curiosity, not correction. That question is your way back into the deal.
❓ QUESTION OF THE DAY
What is one expensive question your buyers consistently forget to ask, that you could raise first?
Hit reply with the question. I read every one.
See you tomorrow.
Edward
Founder, Morning Sales
P.S. The fastest way to find the question a confident buyer did not ask is to have a system that pressure tests every deal from the buyer's blind side. I packaged the 500 prompts I use to interrogate deals, surface hidden risk, and reframe confident buyers into one PDF. It is $27 and it pays for itself the first time it saves a stalled deal. Grab it here: https://www.edwardgorbis.com/products/500-ai-powered-prompts-for-elite-sales-professionals