Lovable eyes AI driven growth

Lovable's chief executive argues that a computer science degree is not dead, but it no longer guarantees entry into tech as AI reshapes hiring.

Tech Careers Move Beyond College Degrees

Lovable chief executive Anton Osika told Business Insider that a computer science degree hasn’t become useless, but its leverage has shifted in the AI era. Lovable, founded in 2023, offers a vibe coding platform that helps people with limited programming experience create software using AI. The company has about 45 employees and is advertising 16 open roles. In June, Business Insider reported that Accel could lead a funding round valuing Lovable at about $1.5 billion. Osika says hiring now prioritizes learning speed and adaptability over current skills, and that curiosity can matter as much as credentials.

Osika notes that the degree still has value for deeper systems work, theory, or research. He says tools today let people go from idea to working product without formal CS education. The shift mirrors a broader debate in tech about whether credentials gate access or whether practical ability and speed matter more. The tech world is also watching investors and thinkers, including Paul Graham, who have argued that AI will reshape the demand for low level programming while the very best developers stay highly valued.

This shift challenges traditional education models and may push universities to demonstrate value beyond simply preparing students for work. It could widen opportunities for self taught coders, but also risks leaving behind those without access to fast learning environments. The emphasis on learning speed, adaptability, and product delivery could speed up hiring but may undervalue deep foundational knowledge in some roles.

If Lovable's approach catches on, it could accelerate a broader move toward AI assisted development. That would be good for speed and experimentation, yet it could widen gaps if the industry ignores rigorous training and long term skill depth. The balance between democratizing coding and preserving rigorous discipline will shape how teams grow in the AI era.

Highlights

The landscape of tech careers continues to evolve as AI changes what counts as real expertise.