What is “Vibe-Coding”? Here is why Alexandr Wang thinks it's a game-changer for young programmers

Alexandr Wang , the 28-year-old cofounder of Scale AI and Meta ’s chief AI officer, is urging young tech enthusiasts to immerse themselves in “vibe-coding”—hands-on experimentation with AI coding tools. Speaking on the TBPN podcast, Wang stressed that early engagement with AI tools could become a career-defining advantage, much like personal computers were for Bill Gates and Mark Zuckerberg .

“Young people who dedicate time to mastering these tools now will gain an edge in the future economy,” Wang said. “It’s a moment of opportunity that won’t last forever.”
The rise of Vibe-Coding Vibe-coding is a term Wang uses to describe learning AI programming through natural language prompts and iterative experimentation. Unlike traditional coding, which often relies on structured learning, vibe-coding encourages unstructured tinkering—testing AI tools, understanding their limits, and creating workflows that optimise productivity.

Wang compares this approach to the early experiences of tech founders: those who grew up experimenting with computers in the 1980s and 1990s gained a disproportionate advantage as the digital economy exploded. “When personal computers first came about, those who spent the most time with them had immense advantages in the future economy,” Wang explained on the TBPN podcast. “I think that moment is happening right now with AI.”
Why young programmers should careThe rise of automation and AI is reshaping the tech job market. Entry-level positions are shrinking as companies rely more on AI to handle coding, testing, and even project management. Wang argues that the solution for young professionals isn’t to compete with AI—but to learn to use it effectively.

By logging thousands of hours experimenting with AI tools, young programmers can build skills that far outpace peers who rely solely on formal education. Wang calls it a “huge advantage” for those willing to put in the time. The concept mirrors the 10,000-hour rule popularised in talent development: deep practice over long periods leads to mastery.

Other tech leaders are echoing this sentiment. Sebastian Siemiatkowski, CEO of Klarna, has said AI programming tools now allow him to build prototypes in 20 minutes—a task that previously took weeks of engineering back-and-forth. This kind of productivity boost is only possible for those comfortable interacting with AI systems daily.
Alexandr Wang’s journey and credibilityWang became the youngest self-made billionaire at 25 after launching Scale AI at age 19. Today, Scale AI is valued at around $7 billion. In June 2025, Meta CEO Mark Zuckerberg entrusted Wang with leading Meta’s AI operations, following a $14.3 billion investment in the company.

“I’ve been radicalised by AI coding,” Wang said on the TBPN podcast. “You just have to figure out how to use the tools maximally. Those who do will have a tremendous advantage in the next decade.”
Opportunity for young workforce For Gen Z and younger millennials entering the tech industry , Wang’s message is urgent: early, hands-on experimentation with AI is no longer optional—it is essential. Unlike traditional coding education, which can lag behind industry trends, vibe-coding equips young workers with practical, market-ready skills that companies increasingly demand.

Those who embrace the approach can differentiate themselves in a crowded job market, create faster prototypes, and innovate at a pace previously impossible. For career-minded teens and early professionals, vibe-coding represents not just a learning opportunity but a potential springboard to leadership roles in AI-driven tech companies.
The takeawayAlexandr Wang’s advice is clear: start vibe-coding now. For young programmers, experimenting with AI isn’t just a hobby—it’s a strategic investment in their careers. As automation reshapes the tech workforce, those who master AI tools early could emerge as the next generation of tech leaders, innovators, and entrepreneurs.