The bar for SaaS has moved. A widening gap is separating those who've adjusted from those who haven't.

Two things are true about building software right now, and they don't sit comfortably together:

  1. It's never been cheaper or faster to build a SaaS product. AI agents can draft a feature, an engineer checks it against what was actually needed, and it ships to staging the same day (the kind of turnaround that used to require three meetings and someone quietly losing the will to live in a Jira ticket). Tools that used to take a team of engineers months now take a founder with a clear idea and a free weekend.
  2. It’s never been harder to build a profitable SaaS company. AI-native SaaS companies are growing revenue faster than any generation before them, but their margins are thinner because every API call that drafts a feature or answers a customer  shows up as a cost in a way a database query never did. Their retention is softer too, because a lot of what looks like adoption right now is still customers experimenting rather than staying. 

Growth-at-all-costs is properly, finally, over. The investors funding this generation of SaaS companies are anchored on efficiency, not speed, which after a decade of "just grow it and we'll figure out the money later," feels almost like maturity.

AI-native companies now make up 42% of the Cloud 100, up from 21% just a couple of years ago. But the industry is split. One cohort of SaaS companies is reaching revenue milestones that would have looked like fantasy five years ago. The other is still chasing growth without the economics to back it up. 

The gap between the two isn't closing. It's getting wider. And what separates them isn't access to better tools, everyone has those now. It's what leading and working in a successful SaaS company actually takes:

1. Depth

Leading a SaaS company that lands on the right side of the gap takes a narrower, sharper understanding of the problem, not a bigger idea. 

The specific, vertical tools, built by people who deeply understand the problem they're solving for, are outperforming the generic horizontal ones built by technologists without that context. That's the actual moat now, because building has stopped being the hard part. 

What separates the companies pulling ahead is knowing which narrow problem is genuinely worth solving, then building for exactly that: pricing so retention covers the AI costs baked into every customer interaction, and saying no to the plausible-sounding expansion that would dilute the thing you're actually good at. 

Five years ago, this game rewarded whoever could raise capital fastest and scale hardest. Now it rewards whoever understands one specific problem so well that customers stay because the product genuinely works for them, not because a sales team is quietly compensating for weak retention.

2. Discipline

Working inside a winning SaaS company takes judgement over syntax. 

I watched this shift happen in real time inside my own team at Workinitiatives recently: engineers moving from writing every line of code themselves to directing AI agents and checking the output against what the business actually needed. 

The people who'll be hardest to replace in that world aren't the fastest typists. They're the ones with a genuine grip on logic and systems, who can tell good output from confidently wrong output, because they understand the problem underneath the prompt, not just the prompt itself. 

That's true whether you're the founder, the third hire, or the fiftieth. The job has shifted from producing the work to verifying it, and verifying it well requires understanding the purpose behind the work deeply.

The future of work in SaaS

Depth and discipline, not access or speed, are what separate the companies pulling ahead from the ones being left behind. So how do you actually hire for them? Not by leaning harder on the old signals.

If a computer science degree was mostly a proxy for "this person can do this work," and the tools now do a decent chunk of the mechanical work for you, the case for gatekeeping every technical role behind that one piece of paper gets a lot weaker. 

For example, even in a tech incubator like Australia, New South Wales is projected to be short 85,000 digital workers by 2030, and the state's answer, the NSW Digital Skills and Workforce Compact, includes a 20% Alternative Pathways Pledge for exactly this reason. It's a fairly blunt admission, from industry and government alike, that the old pathway isn't going to fill that gap on its own, no matter how hard we wish it would. The new pathway will need to be less gatekept and more accepting of a wider pool of talent.

One side of the SaaS industry has already made peace with what this actually requires and is pulling away fast. The other is still building like it's 2021, chasing speed with none of the economics to carry it. The tools are identical for both. The difference is understanding, and understanding, annoyingly, can't be prompted into existence.

Moving fast isn't the interesting question anymore. The tools settled that one for everybody. What decides which side of the gap you land on is whether you understand your problem, your customer, and your own economics well enough to be worth sticking with, now that speed has stopped being the thing that impresses anyone.

Renece Brewster is Co-Founder and Co-MD of Her Tech Circle, a volunteer-run community of over 10,000 women in tech across six cities, and leads Workinitiatives, which builds the infrastructure connecting people to jobs and skills at scale. Workinitiatives is a signatory to the NSW Digital Skills and Workforce Compact's 20% Alternative Pathways Pledge, and Renece sits on several of the Compact's working groups.