A Delhi-born CEO is making headlines after revealing that he earns around ₹18,000 per hour from an artificial intelligence side gig while running a tech company. What’s striking about his journey isn’t just the income, but the mindset that drove him there — curiosity and continuous learning rather than money alone.
The CEO shared that exploring AI early, experimenting with tools and frameworks, and being willing to adapt quickly has opened lucrative opportunities. His experience highlights how AI skills are translating into real earnings in the gig economy and beyond.
How He Built Income With AI
The CEO’s AI side gig revolves around AI solutions and services for businesses and clients — from custom automation to consulting on AI adoption and optimization. According to his account:
He started by experimenting with AI tools while running his main business.
As his skills grew, he began taking on project-based work that commanded high hourly rates.
He emphasizes the value of practical application over theory — focusing on building solutions that solve business pain points.
Because demand for AI expertise is high and relatively hard to find locally, his services have attracted clients willing to pay premium rates for reliable results.
The Role of Curiosity and Continuous Learning
When asked about his motivation, the CEO pointed to curiosity about technology and its implications as the main driver — not the money alone. He says:
Curiosity led him to try AI tools before they became mainstream.
Continuous experimentation helped him understand how AI can be applied effectively.
Staying adaptable and open to new tools kept him ahead of the curve.
His journey underscores that skills, adaptability, and a learning mindset are becoming just as important as formal credentials in today’s rapidly evolving AI landscape.
What This Means for People Exploring AI
This example highlights broader trends in how people are monetizing AI skills:
Freelance and consulting markets are expanding as companies seek expertise they lack internally.
Premium pay often goes to those who can solve real business problems rather than just explain concepts.
Building a portfolio of work and practical case studies can attract higher-paying clients.
Early adopters who are willing to experiment and learn continuously are finding opportunities that didn’t exist a few years ago — often at rates far above traditional hourly work.