How do we defend our market position when AI lowers switching costs?

How do incumbent vendors defend their position when AI lowers switching costs?

For most incumbents, the thing holding the account was never the product. It was the cost of leaving. Ripping out an embedded system, retraining a team, migrating years of data ... that pain is what made renewals feel automatic. AI is collapsing that pain, and fast. When switching gets cheap, you defend your position with a story the buyer believes, not a contract they can't escape.

This isn't a hunch. The trade press is naming it. Forbes ran a piece this month from Peter Bendor-Samuel, founder of Everest Group, with a title that should make every incumbent sit up: as AI drives a new wave of vendor replacement, incumbents need a better strategy to survive. His argument is blunt. AI is lowering the switching costs that protected market leaders for decades, and a fresh wave of vendor replacement is already underway.

Read that again. The moat most incumbents have been standing on isn't their feature set. It's friction. And friction is exactly what AI is built to remove. So the question isn't whether your lock-in holds. It's what you've got left when it doesn't.

What actually held your customers, and why is it leaving?

Here's the uncomfortable truth. A lot of incumbent loyalty was never loyalty. It was inertia. The customer stayed because leaving was a nightmare ... the integration work, the data migration, the six months of retraining, the risk of breaking something that worked. Call it the inertia moat. It kept the renewal coming even when the relationship had gone cold and a competitor had a clearly better answer.

The inertia moat is a feature of how the old market worked, not a sign you earned the seat. And it let a whole generation of incumbents get lazy about their story. Why build a magnetic reason to stay when the exit was already bolted shut? This is Solution-Focused Marketing wearing a different hat ... you sold features, leaned on the contract, and never gave the buyer a narrative reason to choose you again. We've written before about why competitors with weaker products win more deals than us. When switching is free, that same dynamic comes for the incumbent too.

AI agents now handle the exact work that used to make leaving painful. They map one system's data to another, write the migration scripts, and stand up the integrations in weeks instead of quarters. The wall you were standing behind is turning into a turnstile. When it does, the customer stops asking is it worth the pain to leave? They start asking the harder one: why did we choose these people in the first place, and do we still believe it?

Why is this worse now than ever?

Because AI is collapsing two costs at the same time, and they compound. It crushed the cost of producing marketing to near zero, so everyone's content, decks, and homepages now sound the same. And it's crushing the cost of switching, so the friction that used to hide your sameness is disappearing too. Sameness plus a free exit is a dangerous combination for an incumbent.

Look at how the buyer behaves now. Gartner found B2B buyers spend just 17% of the entire buying journey with any single supplier. The rest happens away from you, increasingly with an AI agent running the first research pass. And when the buyer or the machine lines up the options, Wynter's research found that roughly 94% of B2B messaging sounds the same. If you read like every other vendor and there's no cost to leaving, you're not a market leader. You're a default that's about to be reconsidered.

This is the macro shift we keep coming back to. AI brought the cost and the volume of deliverables to zero, so volume stopped being a moat. Perspective is the scarcity now. Lived truth is the one thing AI can't fake and a competitor can't copy. Strategic positioning is the only moat AI can't copy, and it's the only one that gets stronger, not weaker, as switching costs fall.

How do you tell if your moat is lock-in or loyalty?

You can run this on your own book of business this week. No consultant, no survey budget. Just answer honestly.

1. 1The defection test. Imagine a credible competitor offers your biggest customer free, AI-assisted migration tomorrow ... zero switching pain. Write down, in one sentence, the reason they'd stay anyway. If the only honest answer is it would still be a hassle, your moat is friction, and friction is leaving.
2. 2The story test. Open ChatGPT or Claude in a clean session and ask: what does [your company] stand for, and what is their point of view on the category? Read the answer the way one of your customers would. If it comes back vague, generic, or interchangeable with three competitors, you never gave the market a narrative to hold ... you relied on the lock-in. That's the same gap behind why AI doesn't cite your B2B company when buyers ask for recommendations.
3. 3The renewal-language test. Pull your last ten renewal calls and listen for why customers said they're staying. Count how many said a version of switching would be too painful versus a version of you're the only ones who actually get this specific problem. That ratio is your real moat. The first group is rented. The second group is yours.

What do we see across 200+ B2B companies?

The incumbents who panic when switching costs fall almost always make the same mistake. They confuse tenure with loyalty. They've held the account for years, so they assume the relationship is strong, when really the relationship is a contract and a migration cost. The day a competitor removes the migration cost, the strong relationship turns out to be a balance of inconvenience.

The ones who actually defend their position do something that feels counterintuitive in a panic. They don't rush to re-architect the product or pile on new features to justify the price. They go back and re-earn the narrative. They get clear on the category they lead, the villain their buyer is fighting, the old way they're replacing, and the promised land they take customers to. Then they say it the same way everywhere, so the buyer and the machine both repeat it. Here's the shift in one frame:

How does this play out in practice?

Take a composite from our work ... a $40M infrastructure-software company that had led its niche for a decade. For years its retention story was simple: customers were deeply integrated and migration was brutal, so churn stayed low and nobody worried about the message. Then a smaller, younger rival started closing their accounts by offering AI-assisted migration that cut a six-month rip-and-replace down to about three weeks. Two marquee logos left in a single quarter. The CEO's first instinct was to accelerate the roadmap and cut price.

That would have been defending the wrong wall. When we ran the story test on them, ChatGPT described them in almost the same words it used for three competitors. A decade of market leadership, and the machine couldn't tell them apart. The fix wasn't more features. It was a narrative identity: naming the category they actually led, the villain their buyers were fighting, the old way they'd made obsolete, and the specific promised land only they delivered. Same truth they'd always had ... finally said out loud, consistently, on the homepage, in the deck, in every renewal conversation. Within a quarter, renewal calls stopped sounding like it would be a hassle to switch and started sounding like nobody else actually does this. That's the difference between a rented moat and an owned one.

What does this mean for you?

If your defense is friction, you're on borrowed time, because AI's whole job is removing friction. The good news is that the moat that survives this shift is one you can actually build, and it's cheaper than a product overhaul. It's the story ... clear enough that your customers can repeat it, consistent enough that the AI repeats it too. This is the work the Magnetic Messaging Framework exists to do. The Magnetic Messaging Framework (MMF) is the documented brand bible PitchKitchen builds for founder-led B2B companies in the $5M-$75M range, built around four anchors: category design, villain framing, an old-way / new-way contrast, and a promised-land outcome. It gives your team and your AI a specific company to describe instead of the average of the internet. That's why it matters here: when switching gets free, the only thing keeping a customer is whether they believe your story, and the MMF is how you make sure there's a story worth believing on every surface.

1. 1Run the three tests above this week. The renewal-language ratio is your real retention number, not your logo-churn rate, which lock-in has been flattering for years.
2. 2Stop defending the wall AI is dissolving. Don't pour the next quarter into deeper integrations or exit penalties. Pour it into the narrative ... name your category, name the villain, take a real position, and put your proof behind it. You can see what that looks like in how to get your B2B brand to show up in ChatGPT and Claude recommendations.
3. 3Say it the same way everywhere. The homepage, the deck, the renewal call, and the AI's answer all have to match, or the machine reads the inconsistency as noise and recommends the competitor whose story is coherent. If your site still sounds like every other B2B website, start there.

The wave of vendor replacement Bendor-Samuel is describing isn't really about AI making migration easy. It's about AI exposing which incumbents ever had a reason to exist beyond inertia. That's the whole thesis behind The State of B2B Messaging 2026: volume is dead, friction is dissolving, and the only durable moat left is a true story told clearly. This is just truth. The incumbents who internalize it will defend their position. The ones who keep guarding a turnstile won't.