March 9, 2026
When Everyone Can Build, Building Stops Mattering
AI made building easy. But when everyone can build, the filter moves downstream. Trust, retention, and behavioral signals become the new gatekeepers.
Before print-on-demand, publishing houses were the filter. Even if you hated a genre, the books that made it through were at a certain quality level. Someone with money, reputation, and a printing press had vetted them.
Before social media, the majority of ads were expensive. Billboards. Regional media buys. Commercials that required crews, equipment, and real investment. The friction filtered out anyone who wasn't serious enough to spend real money.
Software was the same. The idea was cheap. The prototype was expensive. That's why we had pitch decks and wireframes and product requirements docs. They were stand-ins for the thing itself, because making the thing took months and a team.
Here's what I've been watching: that friction is collapsing in real time. Twenty days ago was different from today. Six months ago might as well be a different era.
And most technical founders are celebrating. They shouldn't be.
The Pattern We've Seen Before
When publishing democratized, the filter didn't disappear. It moved downstream.
The question stopped being "did a publisher vet this?" and started being "what do readers actually do with it?" Amazon reviews. BookTok recommendations. Social proof became the new filter. The power shifted from what publishers said to what readers did.
When advertising democratized, the same thing happened. Anyone with a hundred bucks could get an ad on Facebook. The production filter evaporated. So the platforms built new filters: relevance scoring, engagement signals, behavioral tracking. The filter moved from "can you afford to produce this?" to "how do people respond to it?"
Notice what happened in both cases: the producer's voice became one input among many, and often the least trusted one.
Brand shifted from what "they" say they are to what "we" say they are. Trust shifted from their messages to our responses. Even the relevance scoring started paying attention to our behavior, not what the producer wanted to say about themselves.
The Inversion That's Coming for Software
Software is following the exact same pattern.
The scarcity used to be building the thing. Technical skill was the gatekeep. If you could code, you had leverage that most people didn't. The friction of development created a natural filter.
That friction just collapsed. Anyone with an LLM can create a product now. Going from idea to working prototype has gotten faster and cheaper over the last twenty months, but in the last six months, it's been obliterated.
Which means the natural filtering is moving downstream again.
Here's what I know: the flood of AI-built products hitting the market right now isn't the end state. It's the chaos before the new filter emerges.
And that filter will be the same inversion we've seen twice already: not what the builder says the product does, but what users actually do with it.
Retention curves. Workflow integration. Whether people build their process around it or abandon it after the first session. In the last two weeks I've had two different products want to integrate, one with YourVoiceProfile and one with YourPlatformProfile.
What This Means For You
If you've been getting excited about how easy it is to build and ship something now, just take a sec. Hold on a beat.
The competitive advantage just shifted.
Being able to build quickly was your edge. It's not anymore. Everyone can build quickly now. The thing that separated you from non-technical competitors just evaporated.
What's left? The downstream stuff. The stuff that was always hard, but used to be masked by the harder problem of building.
I once coached a technical founder who needed marketing help. Every week we'd get together and he wouldn't have made any progress on the stuff we'd agreed on. But he'd built another feature, or found another bug to fix.
Marketing is work. And it's hard. Though I should tell you right now, if you're into using AI, my buddy Corey is making it so much easier for you. Check out this project.
Can you get people to trust you with their data, their workflow, their business? Can you create enough behavioral evidence that you've solved their problem that they'll integrate you into their process? Can you design for the response you want to be measured by, rather than the pitch you want to make?
The builders who understand this will stop optimizing for shipping and start optimizing for retention signals. They'll focus on creating the behavioral evidence that becomes the new trust proxy.
The builders who don't will keep shipping prototypes into a market that's already drowning in them.
The Question Worth Asking
"Anyone can build it" doesn't mean "anyone can make people trust it."
And that's where the filter is moving. Not to who can ship fastest, but to who can generate the behavioral response that says "this thing actually works for me."
Are you focused on building trust?
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About the Author
Chris Lema has spent twenty-five years in tech leadership, product development, and coaching. He builds AI-powered tools that help experts package what they know, build authority, and create programs people pay for. He writes about AI, leadership, and motivation.