The impact of vibe coding on martech is already evident in supplier churn rates and changing purchasing behaviors. Mid-sized companies saw a 35% year-over-year decline in renewals of single-function martech tools, according to Chiefmartec & MartechTribe’s “Martech Report for 2026.”
Chris Penn, co-founder and chief data officer at TrustInsights.ai, says the problem goes well beyond cost or effectiveness.
“The biggest macro-level challenge with vibe coding is not just the operational question of ‘is your code good?’ » because many are not. Much of human code isn’t either, which is good. But the challenge lies in several elements. First, it makes the software a product in its own right,” he said.
This commodification is already changing who builds software. About 63% of Vibe Coding users are non-developers, according to Superframeworks »Vibrational Coding Tipping Point 2026“, meaning that marketers themselves are increasingly creating the tools they used to buy.
Point solutions are under pressure
The change is most visible at the edges of the stack, where point solutions once filled gaps but are now easier to recreate in-house at low cost.
“The stack stratifies into layers with different competitive physiques,” Scott Brinker wrote on his blog last week. “Native AI tools are big winners when it comes to creative. Copy ideas, pitch decks, visual production, competitive intelligence. Tasks where the main input is a prompt and some brand context, and the quality of the model is the product.”
According to Brinker, established SaaS platforms like HubSpot and Salesforce still control the orchestration layer. They manage coordinated functions like lead scoring, routing, pipeline management, channel execution, and offer personalization, where data connects directly to action within systems like CRMs, marketing automation platforms, and e-commerce tools.
Your customers are searching everywhere. Make sure your brand introduces himself.
The SEO toolkit you know, plus the AI visibility data you need.
Start free trial
Start with
Dangers in the martech industry
“And that obviously creates dangers, particularly for the martech industry, because you already have what, billions of martech providers?” Penn said. “Well, now you have billions of martech sellers and a whole bunch of people saying, ‘Well, I can do that too, and I don’t need to pay anything,'” he said.
This dynamic turns replacement into elimination, as some categories disappear from stacks entirely rather than being replaced by alternatives.
In some cases, the change is radical enough to reshape entire stacks. Penn cites one agency that replaced most of its software footprint with tools developed in-house.
Replacement gives way to withdrawal
“I was talking to someone this morning, he works at a marketing agency and his agency replaced 80% of his software subscriptions. Out of the window, they just coded theirs,” he said. “They saved a lot of money, and these SaaS companies are out of luck.”
Broader adoption data supports this trend, with 92% of U.S. developers using AI coding tools daily, according to “The state of vibrational coding in 2026“, and 41% of all code is now generated by AI worldwide, based on “13LabsVibration Coding Report 2026.»
This combination of capability and adoption accelerates how quickly teams can replace or retire tools.
As more teams build their own tools, feature-based differentiation becomes increasingly difficult to maintain across vendors. Products that once seemed distinct are increasingly interchangeable in the eyes of buyers.
Differentiation collapses
Penn highlights how quickly software can now be replicated. “There’s nothing this new company offers that you can’t replicate in a day… You already have a huge amount of virtually identical software. »
This creates a new decision point for marketers: choose between similar providers or create their own solution.
Not all parts of the stack are equally exposed to this change, especially systems of record like CRM. These platforms remain more stable due to transition costs related to data, training and operations.
Penn explains constraint in practical terms.
“Their core CRM has about 15 years of data, and moving that data is a pain…and retraining the humans who use it…There would always be differences in how it works.
Business systems are holding up, for now
This creates a divided market in which core systems remain sticky while peripheral tools become easier to replace or remove.
As the software itself becomes easier to reproduce, the source of value shifts from features to areas that are more difficult to reproduce.
“There’s no such thing as making it defensible if you’re trying to defend software. The software is indefensible now,” Penn said.
Rather, differentiation comes from what surrounds the product. “Where you will make a significant difference is in the value chain,” he said. “Your customer support, your service, your maintenance, what is the added value in addition to the product being more difficult to reproduce? »
See the full picture visibility of your search.
Track, optimize and win in Google Search and AI from a single platform.
Start free trial
Start with
A different type of martech evolution
The broader trend is to build rather than buy, especially for workflows that can be recreated quickly and inexpensively. This corresponds with the rapid growth of mood coding platforms, which have reached an $18 billion market, according to “SaaS Market Trends 2026.”
For marketers, this creates more flexibility and cost control, while introducing new maintenance and governance responsibilities. For providers, this raises the bar to stay relevant in an increasingly customizable stack.
The result is a martech landscape in which fewer tools are purchased, more are built, and the real competition goes beyond the software itself.
