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url: https://nmn.gl/blog/ai-killing-b2b-saas date_fetched: 2026-07-05 backfilled: true
SaaS is the most profitable business model on Earth.1 Itâs easy to understand why: build once, sell the same thing again ad infinitum, and donât suffer any marginal costs on more sales.
I have been writing software for more than half my life. In the last year itself, Iâve talked to hundreds of founders and operators in SF, from preseed to Series E companies.
AI is bringing an existential threat to a lot of B2B SaaS executives: How to keep asking customers for renewal, when every customer feels they can get something better built with vibe-coded AI products?
And the market is pricing it in. Morgan Stanleyâs SaaS basket has lagged the Nasdaq by 40 points since December. HubSpot and Klaviyo are down ~30%. Analysts are writing notes titled âNo Reasons to Ownâ software stocks.
The new problem for B2B SaaS is that with AI, customers can get something working with vibe coding. There are tens of vibe coding âinternal toolâ services that promise to connect to every integration in the world to pump out CRUD and workflow apps.
Whatever they build simply works. It takes some wrangling to get there (one Series C VP listed eleven different vibe coding tools theyâve tried and the pros and cons between each on a phone call once), but productivity gains are immediate.
And vibe coding is fun. You feel like a mad wizard using the right incantation 2 to get this magical new silicon intelligence to do exactly what you want.
What they donât know, though, is that a poorly architected system will fail, eventually. As every senior programmer (eventually) understands, our job is complex because we have to understand the relationships in the real world, the processes involved, and the workflows needed, and representing it in a robust way to create a stable system. AI canât do that.
Non-programmers donât know any of this nuance. One Series E CEO told me that theyâre re-evaluating the quarterly renewal of their engineering productivity software because they along with an engineer reimplemented something using Github and Notion APIs. They were paying $30,000 to a popular tool3 and they were not going to renew anymore.
If customers feel like they arenât being served exactly like they want to, they are more likely to churn. The reason behind all this is that customers are demanding more from their B2B vendors, because they know whatâs possible.
Previously, you would change your company to fit what your ERP and pay them hundreds of thousands of dollars. Now, everyone can see that agentic coding makes an unprecedented level of flexibility possible. And customers are demanding that flexibility, and if they donât get it, theyâll leave.
This week itself I was on a phone call with a Series B AE talking about how theyâre potentially losing an $X00,000 account just because the customer canât use a specific failure reporting workflow in the SaaS. Theyâre now working with me to build what the customer needs and retain them.
If the entire companyâs workflows operates on your platform, i.e. youâre a line-of-business SaaS, you are integrated into their existing team already. They know your UI and rely on you on the day to day.
For example, to create a data visualization I wonât seek any SaaS. Iâll just code one myself using many of the popular vibe coding tools (my team actually did that and itâs vastly more flexible than what weâd get off-the-shelf).
Being a âSystem of Recordâ means youâre embedded so deeply that thereâs no choice but to win. My prediction is that weâll see more SaaS companies go from the application layer to offering their robust SoR as their primary selling point.
This is where vibe-coded apps silently fail â and where established SaaS platforms earn their keep.
When a non-technical team vibe-codes an internal tool, theyâre not thinking about environment keys, XSS vulnerabilities or API keys hardcoded in client-side JavaScript. Theyâre not implementing rate limiting, audit logs, or proper session management. Theyâre definitely not thinking about SOC 2 compliance, GDPR data residency requirements, or HIPAA audit trails.
Iâve seen it firsthand: a finance team built a âquickâ expense approval tool that stored unencrypted reports in a public S3 bucket. A sales ops team created a commission calculator that anyone with the URL could access â no auth required. These arenât edge cases. Theyâre the norm when software is built without security as a foundational concern.
Enterprise SaaS platforms have spent years (and millions) solving these problems: role-based access control, encryption at rest and in transit, penetration testing, compliance certifications, incident response procedures. Your customers may not consciously value this â until something breaks.
The challenge is that security is invisible when it works. You need to communicate this value proactively: remind customers that the âsimpleâ tool they could vibe-code themselves would require them to also handle auth, permissions, backups, uptime, and compliance.
The times of asking customers to change how they work are gone. Now, SaaS vendors that differentiate by being ultra customizable win the hearts of customers.
How? Itâs the most powerful secret to increase usage. Weâve all heard the classic SaaS problem where the software is sold at the beginning of the year, but no one actually ends up using it because of how inflexible it is and the amount of training needed.
And if a SaaS is underutilized, it gets noticed. And that leads to churn. And just adding random AI features to your SaaS wonât cut it.
This is the case with one of my customers, they have a complex SaaS for maintenance operations. But turns out, this was not being used at the technician level because they found the UI too complex4.
How Iâm solving this is essentially a whitelabelled vibe-coding platform with in-built distribution and secure deployments. When they heard of my solution they were immediately onboard. Their customer success teams quickly coded a very specific mobile webapp for the technicians to use and deployed it in a few days.
Now, the IC technician is exposed to just those parts of the SaaS that they care about i.e. creating maintenance work orders. The executives get what they want too, vibe coding custom reports exactly the way they want vs going through complicated BI config. They are able to build exactly what they want and feel like digital gods while doing it.
Usage for that account was under 35%, and is now over 70%. They are now working closely with me to vibe code new âmicro-appsâ that work according to all of their customer workflows. And the best part? This is all on top of their existing SaaS which works as a system of record and handles security, authentication, and supports lock-in by being a data and a UI moat.
This is exactly what Iâm building: a way for SaaS companies to let their end-users vibe code on top of their platform (More on that below). My customers tell me itâs the best thing theyâve done for retention, engagement, and expansion in 2026 â because when your users are building on your platform, theyâre not evaluating your competitors.
Hereâs what Iâve realized after hundreds of conversations with founders and operators: AI isnât killing B2B SaaS. Itâs killing B2B SaaS that refuses to evolve.
The SaaS model was built on a simple premise: we build it once, you pay forever. That worked when building software was hard. But now your customers have tasted whatâs possible. Theyâve seen their finance team whip up a custom dashboard in an afternoon. Theyâve watched a non-technical PM build an internal tool that actually fits their workflow.
You canât unsee that. You canât go back to paying $X0,000/year for software that almost does what you need.
The survivors wonât be the SaaS companies with the best features. Theyâll be the ones who become platforms â who let customers build on top of them instead of instead of them. When I showed a well-known VC what I was building to help SaaS companies do exactly this, he said: âThis is the future of marketplaces and software companies.â
Maybe. Or maybe this is just another cycle and traditional SaaS will adapt like it always has. But I know this: the companies Iâm talking to arenât waiting around to find out. Theyâre already rebuilding their relationship with customers from âuse our productâ to âbuild on our platform.â
The question isnât whether AI will eat your SaaS.
Itâs whether youâll be the one holding the fork.
Iâm solving exactly this problem with a whitelabelled AI platform for B2B SaaS companies, so your users can vibe code customized workflows on top of their existing system of record.
My customers tell me this is the best way to support retention, engagement, and expansion in 2026. If this sounds interesting to you or someone you know, I can reach out with a custom demo or you can learn more about Gigacatalyst.
Whenever I bring a new friend to the Salesforce Park, they are in absolute awe. And, the meme remains true that no one even knows what Salesforce does. Whatever theyâre doing, theyâre clearly earning enough revenue to purchase multiple blocks in SF. â©
a.k.a. âprompt engineeringâ which is not engineering at all but thatâs a different blog post. â©
I wonât name any names, but the companyâs named after an invertebrate animal. â©
And who can blame them â I still feel a pang of anxiety when I look at my sales CRM. â©
Gigacatalyst allows your sales team to build features that prospects ask for, so they never lose a deal to product gaps.
My customers say that this is the best way to increase sales in 2026.