ABOUT THIS EPISODE
Every technology vendor I have ever sat across the table from was good at exactly one thing: beating the other vendors on the short list. Smarter packaging and pricing. Sharper deck. Faster follow-up. A reference call with the right customer logo. The right relationship at the board level. By the time the deal closed, I knew more about how well they competed than I knew about whether they understood my business. I usually found out the difference during implementation, and I found out for certain at renewal.
That gap is not a sales training problem. It is the whole story of B2B technology for the last fifty years, and almost nobody selling technology today has had a reason to notice it. Until now.
Customer demand did the selling. Nobody learned to.
Here is the thesis: fifty-plus years of rising corporate technology spending has not materially changed how technology companies position, sell, implement, and renew their products with businesses. The GTM muscle memory built in the mainframe and ERP era is largely still the GTM muscle memory in use today.
That is not because technology companies didn’t have the incentive to get better at it. It is because they never had to. Once the personal computer put a connected terminal on every desk, demand for business technology became so persistent, so self-renewing, that closing a customer stopped being the hard part of the job. Beating the three other vendors chasing the same budget was the hard part. Technology companies got very good at that competition, and very good at telling themselves that winning it was the same thing as understanding the customer.
It never was. It just didn’t matter, because there was always another wave of demand behind the last one to paper over the difference.
We were billed for modules we never used
I’ve seen this move more times than I can count: a competitive pitch dressed up as customer focus. It shows up most often at renewal, the moment the relationship has the least leverage and the vendor has the most.
One renewal stands out. A multi-million dollar contract came up, and the increase landed north of 10 percent. The justification: new fees for modules that were apparently “in the contract” (that we had never used), fees that could be negotiated away, but only if we signed the renewal. From there it was scorched earth. The account team escalated from our CTO straight to my CFO with a thinly veiled threat about what would happen if we looked at a competitor. The rep running the account had never once set foot in our offices.
That is competitive skill working exactly as designed. Nobody on that account understood our business. They understood how to extract a signature under pressure, and for a long time, in a market where demand did most of the selling for them, that worked well.
I’ve had the good fortune of selling in bull markets, and the good fortune of leading businesses through bear markets, where the rules changed and customer focus was the competitive differentiator. Which market I was in never decided that. What showed up the moment the leverage ran out did.
Two skills get confused as one
There are two distinct capabilities buried inside every technology company’s win rate, and the industry has spent fifty years measuring only one of them.
The first is competitive skill: the ability to out-position, out-present, and out-negotiate the other vendors on the shortlist. The second is customer understanding: knowing, with precision, the actual job the buyer’s business needs done, and building a product and a relationship around it. A high win rate can be evidence of either one. Most B2B technology companies have never built a way to tell which.
Plot those two capabilities against each other and you get four quadrants, not two.
Almost every established technology company believes it’s the Category Leader because its win rate has always been strong. Most of them have actually been the Borrowed Win, protected the entire time by demand strong enough to make the difference invisible.
What was hiding the difference
The evidence that the Borrowed Win is more crowded than anyone wants to admit is already sitting in the data. Gartner has found that 60 percent of technology buyers involved in a renewal decision regret nearly every purchase they’ve made. McKinsey’s own research found that only 16 percent of digital transformations both improved performance and sustained that improvement long term. Those are not implementation statistics. They are customer-understanding statistics, showing up two steps downstream from where the deal was actually won.
A vendor that understood the job would not produce those numbers at that scale, for that long, across an entire industry. A vendor that was simply good at winning competitive bake-offs would produce exactly this. The industry has had the data in front of it for years and read it as a services problem instead of what it actually is.
Why the cover is coming off now
The demand cushion depended on one structural fact: the buyer’s evaluation ran through a human, and a human can be out-positioned, flattered, and outlasted. Agentic AI removes that fact, not gradually, but as fast as agents get adopted inside procurement functions.
I’ve written before about what happens when the buyer’s shortlist gets built by an agent before a rep is ever involved, in “The Buyer Left the Building”. An agent evaluating vendors on behalf of a buyer does not care how the deal was packaged or priced. It does not respond to a sharper deck. It does not remember a good reference call. It checks whether the product demonstrably does the job it was asked to evaluate, and it moves on if the answer is unclear. Competitive skill, the entire capability the industry spent fifty years perfecting, does not register on that test. Customer understanding is the only thing that does.
That shift lands hardest on the people who can least afford it. I’ve also written about the asymmetry between the rep who walks away from a bad decision and the buyer who staked their internal credibility on it in ”The Decision Was Made Without You”. That buyer is exactly who is now handing evaluation work to an agent built to catch the gap between a vendor’s pitch and a vendor’s actual fit, because they were the one left holding the outcome the last time the pitch won and the fit didn’t. The Borrowed Win quadrant only worked because the buyer couldn't see the difference before signing. The agent can.
What this actually requires
* If you sell technology: Stop measuring win-loss against the competition and start measuring it against whether the customer’s job actually got done, twelve months out, not thirty days after signature. Treat a strong win rate with no customer-understanding evidence behind it as a warning, not a victory lap. Rebuild the account team around the person inside the buying business who is personally exposed by the decision, not the procurement function that approved the budget, because that is who is about to be doing the evaluating with an agent at their side.
* If you run a business: Stop running evaluations that reward the vendor who is best at being evaluated. Do the work of defining the job you actually need done, with the same rigor you’d apply to a hire, before a single vendor is in the room. Hold every vendor accountable to the outcome past the signature, not just the promise before it, and treat renewal, not the initial close, as the real test of whether the fit was ever real.
Fifty years of demand did what strong demand always does. It let a lot of companies mistake being hard to say no to for being right for the job. Agentic AI does not care how hard you are to say no to. It only checks the job.
You have spent fifty years selling technology. Whether you ever understood your customer's business is what agentic AI is about to find out
The views expressed in Uphoff on Media are entirely my own. They don’t represent the opinions of any company I’ve led, any board I’ve sat on, or any investor who’s had the pleasure of debating strategy with me over the years. If something I write here sounds brilliant, I’ll take full credit. If it turns out to be wrong, I was clearly misquoted by myself.
“Uphoff on Media” is published by Tony Uphoff, Founder and Managing Partner of Uphoff Advisory: a strategic advisory practice for founders, CEOs, and investors in B2B information, marketing, and technology. The businesses that drive business.
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