Conversation with Sam Lessin: The End of Software Engineers

On March 4, 2026 Enrich events held a conversation with Sam Lessin - investor, founder, and one of the more provocative voices in tech, to talk about what AI is actually doing to careers in tech. For information on future events, click here.


For decades, the ability to build software was a superpower. It was the moat. It’s why Silicon Valley commanded such outsized salaries, cultural influence, and raw economic leverage. Knowing how to turn ideas into code was a rare and valuable skill, and entire careers, businesses, and ecosystems were built on that scarcity.

That scarcity is evaporating.

In a recent conversation hosted by Enrich, investor and podcast host Sam Lessin described using AI coding tools as “playing Roblox for adults.” It’s a game, fun and almost frictionless, and available to anyone who wants to play. 

Here are the key takeaways from the conversation.

The Constraint That Organized Everything Is Gone

Product management, as a discipline, was largely an exercise in triage. Engineering time was scarce, so someone had to decide what got built. That someone was the PM and they came armed with roadmaps, priority matrices, and the uncomfortable power to say no.

When implementation becomes essentially free, that logic collapses. Features that would have never survived a sprint planning meeting can now be shipped in an afternoon. The backlog stops being a prioritization problem and starts being an attention problem. What do you actually want to exist in the world?

This is disorienting for product leaders who’ve spent careers mastering the art of ruthless prioritization. It’s also, for the right kind of person, wildly exciting.

Being a “Fully Mediocre Engineer” Is No Longer a Career

Lessin made a comparison that stings in its accuracy: being a competent yet  unremarkable software engineer today is like being a scribe after the printing press appeared. The skill isn’t wrong, it’s just becoming universally known. Coding is following the same arc as typing and computing before it: from specialized profession to baseline expectation.

This doesn’t mean engineers are obsolete. It means the definition of what makes an engineer valuable is changing rapidly. The bar is rising, and the people who thrive won’t be those who can simply write code, but those who can decide what code should exist, why it matters, and for whom.

Interestingly, every role seems to think the other guy’s role is disappearing. Designers think engineers are going away. Engineers think designers and PMs are redundant. The reality is more nuanced and more demanding: every role is changing, and the people who succeed will be those who can operate across all of them.

The New ‘Real MVP’

So what does the winning career look like? According to Lessin, it’s a generalist who can bridge product, engineering, and design. But crucially, it’s someone who is deeply passionate about a specific niche. Not a “T-shaped” professional, but more like someone who is genuinely obsessed with something narrow, and can now build around that obsession.

The traits he looks for when hiring: grit, agency, raw intelligence, and a willingness to learn fast. Not credentials. Not a particular tech stack. The question isn’t “what do you know?” but rather “what will you figure out?"

He’s also watching for attitude. Team members who respond to new AI capabilities with “Yes, and” will outperform those who slow down, second-guess, or resist. In a world where momentum compounds, hesitation is expensive.

The Business Model Inversion Is Happening in Real Time

If software is cheap to build but expensive to sell, the old startup playbook of “build first, find customers later” becomes a trap. Customer acquisition costs are rising. Margins on pure software are compressing. 

What’s defensible now? It’s going to be trust, reputation, and community. Instead of quick wins, it’ll be data that accumulates over time. Lessin points to his wife’s publication, The Information, as an example of a business built on compounding credibility, which is hard to replicate precisely because it was built slowly and  deliberately.

The new playbook, as he sees it: build the community first, earn the trust, then layer products on top. This inverts everything. Your audience becomes your moat and your reputation is the distribution channel. The product almost becomes secondary.

What This Means for Career Planning

Lessin’s advice is blunt and a little unsettling: don’t optimize for safety. The careers that have historically felt safe like software engineering are precisely the ones facing the most pressure. The safety net isn’t where you think it is.

Instead, start from what you genuinely love. The internet has made it possible to find and build an audience around almost any niche no matter how specific, how obscure, how weird. The question isn’t whether your passion is “commercially viable.” The question is whether you can become the best in the world at something you actually care about.

He frames it as looking for a position where you can stop running because you’ve built something durable enough that you’re not in a perpetual race. That’s increasingly the only kind of career worth building.

The Bottom Line

Lessin shared an analogy: the invention of affordable cameras didn’t create more professional photographers. It created an explosion of photographs and a collapse in the market for people who took pictures professionally. AI will do the same to software.

The next few years will produce massive inequality of outcomes. A small number of people who combine deep domain expertise and genuine passion with the ability to build will win. The middle tier will face real pressure.

The uncomfortable truth: the careers that have felt “safe” are facing the most pressure. The careers worth building today will start from genuine passion, not conventional safety.

Don’t optimize for safe. Optimize for durable.

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