Lovable is the fastest-growing AI app in the shortest period of time, shaking up the industry by presenting a new growth formula and way of working for modern AI startups. This video features Elena Verna sharing her motivation for joining Lovable, the unique organizational culture of AI-native companies, the end of the manager role, blazing-fast product development, and the rise of AI innovation teams—vividly describing how AI technology is transforming companies and work culture. It introduces a philosophy entirely different from traditional IT companies (autonomy/end-to-end ownership/dismantling of management layers/rapid execution) through real-world experiences and quotes, offering insights for both companies and individuals considering AI adoption.
1. Elena Verna and Lovable: A Surprise Opportunity Just Before Retirement
Elena Verna has served as a product-led growth (PLG) expert and advisor at several prominent companies (Dropbox, Miro, SurveyMonkey, etc.), and now leads growth at Lovable, the world's fastest-growing AI app. Rather than simply joining another SaaS company, she was driven by the desire to personally experience the fundamentally different AI-native ecosystem, which led her to join Lovable full-time.
"I thought the patterns in the current tech industry were so clear that there was nothing left to learn, so I was planning to retire. Then the opportunity with Lovable came along. It was an entirely new world."
Lovable was attractive for reasons far beyond being a fast-growing company.
"AI-native companies operate completely differently from traditional SaaS. I wanted to see firsthand how the very meaning of 'founding,' 'building software,' and 'going to market' is being redefined."
Elena conveys her passion for experimenting with a 'growth formula optimized for the AI era' using her expertise, while also being challenged and growing again.
2. AI-Native Organizational Culture: 'Unlimited Autonomy,' 'End-to-End Ownership,' and Blazing Execution Speed
Autonomy and End-to-End Ownership
Lovable's most striking characteristic is that "every employee takes full ownership of their work and drives it from start to finish." Whether developer or marketer, everyone handles their work—from planning to development, launch, customer feedback, and marketing—independently or in small units, without relying on others' permission or coordination.
"Here, there's no cross-functional dependency. One person handles the entire process. Everyone takes their own authority and information, with boundary-crossing ownership."
This dramatically reduces communication and collaboration costs, and execution velocity becomes tremendously fast. New features and ideas follow the principle of "shipping within weeks and seeing results."
Demolishing the Generalist vs. Specialist Structure
Lovable operates with a small full-time team of 'generalists' (plus external specialist contractors). Even so, it maintains over 10 billion won in revenue, experimenting with a new 'organizational model' that doesn't require as many people as before.
"In the past, work was divided step by step across marketing, development, and operations. Now one person quickly handles everything from start to finish—almost a startup/maker approach."
3. The End of the Pure Manager Era—Flat Structure and Real Leadership
In AI-native organizations like Lovable, the value of 'managers who only manage' disappears. Top-down 'vertical managers' who merely oversee people are no longer necessary.
"The pure manager role will soon disappear. The current hierarchy and dependencies only complicate communication and reduce the team's execution capacity."
In agile organizations, 'leaders' must also do hands-on work, and need both domain expertise and strategic vision to survive. The joy is also greater.
"If you only specialize in management, you don't know what your team is actually doing. The fun of doing the work yourself and actually building something is truly immense."
The collapse of hierarchical structures, massive team size expansion, and the proliferation of vertical and horizontal managers—these traditional approaches are viewed negatively in AI-native organizations.
"The era when a person's value was measured by the size of their kingdom (team) is over. Now it's not about how many people report to you, but the real impact you contribute to the company."
4. How AI Changed the Growth Team's Role: From Product-Centric to the 'AI Innovation Team' Era
In the AI-native era, the role of the traditional 'growth team' has changed dramatically. While the era of managing acquisition-activation-monetization-retention metrics with optimization loops was important, now AI itself is the core product structure, significantly reducing the growth team's actionable space.
"In AI-native products, the very concept of activation has changed. Before, there were many screens, buttons, and stage metrics. Now it's just one prompt box and the result—measuring whether 'an app was actually built' completely transforms the metrics themselves."
AI products target both 'developers' and 'non-technical users,' but Lovable focuses on making it easier for non-technical team players (product, marketing, design, operations) to 'build apps.'
As the market increasingly moves toward AI-based multimodal agents (AI avatars that guide the entire user experience—consultation, guidance, and actual task execution), traditional growth teams within companies should similarly evolve into AI innovation teams (or agent planning/operations teams).
"Soon, separate growth teams won't be needed. Companies will follow the same pattern—AI handles repetitive work, and humans focus on 'real innovation' and 'new methods.'"
5. The Future of Work and Innovation: Personal AI Teams, Work Automation & Unleashing Creative Potential
A Completely Transformed Way of Working with AI Tools
Elena specifically describes how all of her work processes have been automated and shortened with AI.
"Before, it took enormous time from ideation to writing specs, discussing with designers/engineers, development, and launch. Now GPT writes a 70% spec, I immediately refine and hand it to the engineer, a prototype is created on the spot, and we get real results immediately."
"Now, from design to complex app builds to internal automation, I operate as if I have my own 'personal AI team.' Dev team, design team, PM, prototyping... it's an era where one person can do it all."
In this process, simple/repetitive tasks are handled by AI, freeing humans to leap toward more creativity and new initiatives.
Liberation from AI-Driven Fear: The Era of Creative Freedom
While some fear that AI will eliminate their jobs, Elena emphasizes the exact opposite.
"Feeling 'threatened' by AI means you've been spending your time on simple repetition. There's actually more opportunity now. Those monotonous hours are liberated, letting you focus on real innovation and more valuable work. Instead of fearing this, see it as a chance to test your potential."
"AI is a true blessing for creative minds. Now anyone can have their own team-tools-processes and immediately turn ideas into reality."
6. AI Integration in Traditional Companies: Barriers to Change and New Paths
Interestingly, when traditional (non-AI-native) companies try to adopt AI, they face many obstacles.
- Creating a separate AI innovation team: Companies set up dedicated AI experts/innovation teams and adopt various tools, but existing employees feel burdened or resistant to change, leading to low utilization.
- Inserting AI-native talent: Even when hiring external talent familiar with AI, the existing organizational culture and customs bury the 'disruptive AI approach,' eventually turning them into ordinary employees.
"So far, I've rarely seen successful cases where it starts in one department and expands across the entire organization. Traditional companies still face many structural limitations in transformation."
Elena emphasizes that companies designed as AI-native from the start have a significant advantage, and that transformation requires organization-wide innovation, not just 'a few people's innovation.'
7. AI Applications Growth Teams Can Adopt Immediately & Real-World Examples
Elena specifically compares practical AI applications at work and how they differ from traditional approaches.
- Before: Ideation → Spec writing → Review/revision (multiple rounds) → Design/copy production → Development coordination → Development/launch → Repeat
- Now: Ideation → Auto-generate 70% spec with ChatGPT etc. → Immediately hand to engineer (simultaneous prototype) → Immediate feedback and development → Go live
"All the work that used to be done with countless Google Sheets, Google Docs, and Excel can now easily be turned into small apps and automation bots. It's the ultimate in time savings."
She shares her real experience with Lovable:
"When presenting a business strategy in San Francisco, an app that would have previously required a designer, planner, and engineer can now be built to deployment-ready level using my own 'AI CTO,' 'AI Designer,' and 'AI CPO.'"
Conclusion
The 'AI-native' organization and growth formula that Lovable demonstrates shows an entirely new era of work, organization, product development, and leadership, unlike traditional IT companies. Autonomous, with fewer management layers, fast and flexible, actively leveraging AI to infinitely expand the boundaries of 'what's possible.' This transformation poses meaningful questions for growth strategies and work methods across all industries, not just AI-focused ones.
"AI is a bazaar that can dramatically realize the creative productivity we've only imagined until now. Believe in your potential and give it a try!"