That is where the next generation of SaaS winners will emerge. A year ago, Johanna Ydergård was sitting in the audience at SaaSiest as the CMO of a B2B SaaS company, frustrated by something most marketers know all too well:
Great ideas were constantly dying in someone else’s backlog.
Need a product update? Wait for engineering.
Need a landing page? Wait for the design.
Need data analysis? Wait for analytics.
Need a tool? Procure software or hire a contractor.
The bottleneck was not creativity.
It was dependency.
Now, less than a year later, Johanna is leading growth product marketing at Lovable, one of Europe’s fastest-growing AI companies. And according to her, the biggest shift happening inside modern SaaS organizations is not just about AI productivity.
It is about removing waiting from work itself.
That was the core theme of her SaaSiest session.
The New Default: Build It Yourself
At Lovable, the instinct is no longer “someone else should solve this.”
The instinct is: build it yourself.
Johanna shared the story of how she got hired at Lovable. During her interview process, she started suggesting improvements to the product. The engineering team responded with something that completely changed her perspective:
“Okay, do it then.”
They handed her a laptop with Lovable installed and asked her to push code herself. During a marketing leadership interview.
That moment says a lot about where SaaS companies are heading. The walls between functions are starting to disappear.
AI tools are making it possible for marketers to prototype products, for designers to build internal systems, and for non-technical employees to solve operational problems without waiting for engineering resources. And according to Johanna, that changes the speed of execution entirely.
When Execution Stops Waiting
One example she shared was a simple internal tool she built after realizing Lovable’s engineers were shipping features faster than marketing could keep up with. Instead of creating process bottlenecks or slowing the team down, she built a visual release management system that helped marketing prioritize which launches needed coordinated campaigns and which could simply ship directly to users.
Another example was their blog CMS.
Most companies would have gone through a procurement process, evaluated vendors, involved IT, and spent weeks implementing a platform.
Lovable rebuilt theirs internally in just a few hours. Not because it was strategic. Because it was easier.
That mindset is probably the biggest cultural difference between AI-native companies and traditional SaaS organizations. At many companies, work still flows through permissions, approvals, and specialist bottlenecks. At Lovable, work flows through initiative.
Shared Context Becomes a Competitive Advantage
Johanna also shared how AI is reshaping access to data inside the organization. Lovable built internal AI agents like “LoveSight” and “LoveMic” that sit directly inside Slack and give employees conversational access to operational data, customer insights, feature usage, sales transcripts, and user interviews.
The interesting part was not the technology itself. It was what happened culturally once everyone had access to insights.
Conversations became collaborative in real time. Teams started building on each other’s thinking. Product, marketing, growth, and engineering stopped operating as isolated functions because everyone could explore the same information together.
That creates something many SaaS companies struggle with: Shared context.
And shared context is becoming one of the most important competitive advantages in modern software companies.
AI Lowers the Barrier. Taste Raises the Bar.
But Johanna also addressed the obvious question: If everyone can suddenly build things, how do you avoid producing average work?
Her answer was surprisingly nuanced.
AI lowers the barrier to creation, but without context, taste, and strong opinions, most output becomes generic. The companies that stand out will not simply be the ones using AI the most aggressively. They will be the ones combining AI leverage with strong brand thinking and human judgment. That is why Lovable invests heavily in design and brand. Johanna explained that inside Lovable, almost anyone can create assets, pages, or content. But the brand team has the authority to step in afterward, raise the quality bar, and challenge weak execution. Instead of controlling creation upfront, they optimize for speed first and refinement second. In many ways, this might be the most important leadership lesson from the session.
When execution becomes cheap, the bottlenecks shift toward clarity, judgment, creativity, and brand.
The Future Advantage Is Human
Johanna closed the session with a framework inspired by Maslow’s hierarchy of needs. As AI increasingly automates operational work, repetitive production, and even parts of decision-making, human value moves upward toward what she called “marketing self-actualization.”
In plain English:
The future advantage is not who produces the most content.
It is who creates the most memorable ideas, the strongest brand, and the clearest emotional connection with the market. That is especially important for SaaS companies right now. When everyone can build faster, publish faster, and automate faster, differentiation moves somewhere else entirely.
Culture. Taste. Brand. Creativity. Speed of learning.
