Growth · January 2026 · 7 min read · External essay

Growth Is Now a Trust Problem

Elena Verna on the new growth playbook. When AI commoditizes capabilities and collapses the old channels, trust becomes the moat that matters.

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Growth Is Now a Trust Problem

All of us are fighting a war on three fronts, thanks to AI. Customer product expectations are higher than ever. Distribution channels are collapsing. And everyone, big incumbents, new startups, even your own customers with vibecoding, is coming for your value prop.

How are you supposed to grow in this new landscape? It ain't easy. But there's a new playbook that I'm seeing emerge, and it's all built around one simple concept: trust.

Here's how it changes how you should be thinking about your growth model.

Trust-based acquisition

The classic distribution systems are falling apart. You may have been hearing this for a while. Andrew Chen pointed out that every marketing channel sucks right now, almost a year ago. But it's getting worse. You're probably starting to see all of your channels get more expensive or less efficient, or both. Unfortunately, I don't see them getting better any time soon.

What's not working anymore

SEO and organic search. The obvious thing is that AI slop has reduced the barrier to entry for creating the content that SEO depends on. Now anyone can churn out dozens of articles with just a few prompts. But it's deeper than that: SEO is built on the assumption that people will primarily find information and access the Internet's knowledge through Google searches that send them to web pages. That's just not true anymore. People are going to ChatGPT, Claude, and Perplexity to get answers. And even when they do Google, the AI-generated answers intercept traffic before people ever click a link. Soon, people will use LLMs to navigate to products they already talked to AI about, the same way they use Google as a navigation bar now.

Paid search. This is the same story as SEO, but the economics are more obvious. With the total number of searches not growing, the cost of placing your ads on those searches skyrockets as competition increases. Everyone's bidding on the same keywords, and it's getting harder and harder to maintain a positive return on ad spend. Plus, you're not just competing with other companies but with AI tools that solve the same problem for $20 a month. Good luck with that.

Corporate social. Social platforms are increasingly hostile toward corporate accounts and external links, optimizing for on-platform engagement. You might be able to get attention, but try to convert that into external traffic? No more juice for you. The algo giveth, the algo taketh away. And the creative treadmill required to maintain polished, brand-aligned assets is expensive and exhausting. All for posts that still feel like interruption marketing. Which they are.

What's working now

Employee-led social. When founders and employees share their thinking, their failures, and their roadmap publicly, it demonstrates transparency and accountability. This isn't about posting motivational LinkedIn content. It's about sharing real expertise, real examples, and the humanity of your company. People buy from people they trust. Faces create that trust in ways corporate accounts never can.

Influencer and creator partnerships. When someone with an existing audience bets their reputation on recommending your product, it transfers trust. The key is finding partners whose audience matches your ICP and who will actually use and believe in what you've built. Not the ones who'll promote anything for a check.

Community-driven growth. Your users become your distribution channel, but only if you build the infrastructure for it. Your product has to create stories worth sharing. Give people a place to show their work, staff it so questions actually get answered, and let users teach each other. The best content explaining your product never comes from marketing. When it works, community creates trust that marketing budgets can't buy: users believe in your product because other people they respect believe in it. Features are easy to copy. Trust isn't.

Product-led brand. Brand used to come from marketing campaigns and logo recognition. Now it comes from product experience. Every interaction, every feature, every detail either builds or reduces trust. The product itself has to demonstrate that you care about the user's problem and will keep solving it better than anyone else.

You may have noticed that a lot of these channels feed into the same thing: word of mouth. This isn't a channel you can really control, but it's the ultimate trust signal. If someone hears about your product from someone they know, that's priceless. It's also very difficult to manufacture. It has to be woven into everything you are doing, how you are building, into your cultural values. A clever viral campaign might get people talking about your ads or your content, but if you want people discussing your product, you need to wow them. That comes from product, which is also your retention engine.

Trust-based retention

Just as it's killing traditional distribution channels, the arrival of AI is ruining retention for traditional SaaS businesses. At the end of the day, every company has to answer one critical question: why should users keep using your product? The answer always comes down to one of three options. You are:

  1. Cheaper
  2. More efficient, faster at solving the problem than alternatives
  3. More effective, able to produce a better outcome

The problem for SaaS companies is that most of them were built around the first two. In the growth workshops I've run with software companies, nine times out of ten the answer to "why us" is time to value versus the manual approach.

That's now a major problem. AI is faster than any traditional hard-coded software product. It's more efficient than your workflow tool. It answers questions better than your knowledge base. It generates content faster than your marketing platform. If your primary value proposition is efficiency or cost savings, you're competing with something that beats you on both dimensions and costs your customers $20 per month.

Even if your value prop falls into the more effective category, you're at risk if that functionality is not utilized enough. Add in the fact that AI can also be more effective because it's better at understanding final intent, and all of the traditional value props are weakened. Utility-based value places you on shaky ground.

When all the capabilities get commoditized, users will stick with the products they trust.

More specifically, this kind of trust is confidence that this product and team will continue to deliver better outcomes over time. It depends on the belief that you genuinely care about the problem and will keep iterating to solve it better than anyone else. How do you build it?

  • Transparent roadmap sharing. Not the sanitized public roadmap that commits to nothing. Real visibility into what you're building and why. When customers see you're thinking three steps ahead on their actual problems, it builds confidence that you'll continue to be valuable even as AI capabilities expand. And they will expand, fast.
  • Responsive iteration based on feedback. Speed matters, but it has to be in the right direction. Are you really listening to what customers need and building it? Or are you on a pre-made product roadmap that ignores their reality? The companies that tighten this feedback loop and ship legit improvements quickly are the ones that earn ongoing trust.
  • Wow moments in the user experience. Not just looking pretty. Showing through the product experience that you care about how people actually work. The delightful details, the thoughtful interactions, the features that anticipate needs. These create an emotional connection that goes beyond the product's utility.
  • Thoughtful lifecycle comms. Every email, update, and push notification is either building trust or reducing it. Are you creating value with your updates, or just bombarding people?
  • Monetization aligned with outcomes. Getting paid only when your customer succeeds is more than a pricing strategy. It's a retention moat. It creates real trust, reduces churn, and removes the pressure on customers to justify their spend. It also avoids sleeping bears: customers who pay but don't use the product, and wake up just in time to churn.

This is why brand is a product job now, not just a marketing job. The product itself must demonstrate trustworthiness. You can't market your way into trust-based retention. Marketing can tell the story, but the product has to be the story. If those things don't align, customers see right through it.

Trust is the main lever behind growth

Acquire through trust. Retain through trust. These aren't separate strategies. They're the same system playing out at different moments in the user journey.

Honestly, there aren't that many products I actually trust. For me it's Lovable, Miro, Whisperflow, Spotify, Granola, Oura, Stripe, Tesla, Netflix, Arc, Superhuman, Substack, and ChatGPT, among a few others. They've never let me down. I found each one through referrals. They continuously evolve and solve my problems. I enjoy using them. I'm rooting for them to succeed. Which ones do you trust? And why?

What does this mean operationally?

Build this into your org structure and values. Product, marketing, and customer success can't operate in silos. Trust-building requires everyone running in the same direction. Your founders and executives need to be visible in public channels and keep it real. Your product team needs to be talking directly to customers and shipping based on what they're hearing, fast. Your customer success team needs the access to influence product direction. If you still have org charts where these teams only talk in quarterly planning meetings, you're already behind.

Optimize for velocity. Trust-based growth requires speed, both in how fast you ship and how fast you respond. Tighten the feedback loop between customer input and shipped features. Minimize cross-functional dependencies so teams can move without waiting for approval chains. Ship daily if you can. Micro-releases trigger something traditional marketing can't. Users signed up for version X, but they keep getting version X plus. It feels like a free upgrade, and it builds trust and loyalty without you having to ask for it.

Learn to build in public. Share your work as you go: a steady rhythm of progress, ideas, wins, and fails over time. The product becomes the story. The shipping cadence becomes the engagement strategy. And remember, this can't be run by your corporate account. People don't want the company POV. They want to hear from builders: your CEO, your engineers, your designers, the people who actually made the thing. That's what makes it feel real instead of manufactured. It's scary because you're giving up control and polish. But when you're moving fast, you don't have time for keynote-grade presentations anyway. Less polished is often more effective. A super glossy ad is cool, but it elevates the brand away from the people watching it. You want connection, not hype.

The companies that figure out trust-based growth will have a significant and lasting advantage. Trust is harder to build than features. It's harder to replicate than efficiency. It compounds over time in ways that performance marketing never could.

AI will keep commoditizing product capabilities, which is why trust is becoming the moat that actually matters. The question isn't whether to adopt this approach. The question is how quickly you can make the shift before your traditional channels and value propositions collapse completely.

And trust me: they're collapsing faster than you think.