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Sam Altman Claims Now Is the Best Time to Dive Into Computer Science

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  Published in Science and Technology on Sunday, November 16th 2025 at 15:39 GMT by Insider

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Why Sam Altman Says Now Is the “Best Time to Get Into Computer Science” and What His Accidental Career Advice Means for Aspiring Tech Talent

When Sam Altman—CEO of OpenAI and one‑time president of the startup accelerator Y Combinator—opens his mouth about career advice, the world listens. In a recent interview with Microsoft’s MSN Technology channel, Altman laid out a surprisingly simple yet profoundly resonant message: “Your accidental career moves often lead to the most meaningful breakthroughs, so treat curiosity as a compass and let the unexpected guide you.” While the interview is brief, the depth of his insights reverberates across the tech ecosystem, especially for anyone considering a plunge into computer science (CS) today.

The Accidental Path that Built a Company

Altman’s own résumé reads like a series of fortunate coincidences. After earning a degree in philosophy from Stanford, he became one of the early interns at Google, then a co‑founder of a location‑based social network called Loopt. Loopt was acquired by Green Dot Corporation in 2012, but the company’s shutdown was more a catalyst than a dead end. “I was working on the back‑end infrastructure and it struck me that I could solve broader problems with software,” Altman told MSN, a story that underscores his accidental leap into the software domain.

That “accident” wasn’t random; it was the result of Altman listening to what he already loved: building things that could change the world. The real turning point came when he joined Y Combinator as a partner, where he had the rare opportunity to mentor dozens of founders. “I was literally watching entrepreneurs try to solve problems with code,” he explained. “When you sit in that room and see a vision being realized by a team of software developers, that’s when the magic hits.”

This environment nurtured his next big leap: founding OpenAI in 2015 with a group of visionaries like Elon Musk and Greg Brockman. The nonprofit‑turned‑for‑profit model set a new standard for artificial‑intelligence research. But Altman’s message is simple: you don’t need a master plan to become a game‑changer. The most impactful careers often start with a small, seemingly accidental idea that grows into something bigger.

“Accidental” Advice: Embrace Uncertainty, Keep Asking Why

Altman’s “best accidental career advice” is less a formula and more a philosophy. According to him, the two core principles that guided his own journey are:

1. Treat curiosity as a compass – Instead of planning every step, he says, “follow where your questions lead.” For Altman, a simple question like “How can we make smartphones smarter?” eventually turned into the founding of OpenAI. The idea that your questions can be the starting point for a career path is powerful because it encourages learning beyond linear career ladders.

2. Be comfortable with uncertainty – When you’re unsure of where a problem or opportunity will lead, you open yourself up to a wider range of solutions. Altman recounts a time when he was offered a role in Microsoft’s AI research team, which could have been a “safe” career path. He opted instead to stay at OpenAI and push the boundaries of machine learning. “It was risky, but the uncertainty forced me to think in new ways,” he recalls.

These two guidelines can be distilled into a simple mantra: “Be curious, stay uncertain.” For anyone entering CS, the mantra is a reminder that technical skill alone isn’t enough—flexibility and a willingness to pivot are equally essential.

Why Today Is the Best Time to Study Computer Science

While Altman shares personal anecdotes, his enthusiasm for CS extends to a broader market analysis. He notes three key reasons why the current climate is optimal for aspiring computer scientists:

1. AI is Accelerating the Talent Gap

OpenAI’s rapid advancements—from GPT‑4 to Codex—have shown that a small group of researchers can generate world‑changing technologies. Altman points out that the pace of AI innovation is far faster than the pace at which the industry can fill talent gaps. “There’s a mismatch between demand and supply,” he says. “If you’re learning CS now, you’ll be positioned to take advantage of that demand.”

2. CS is Becoming an Interdisciplinary Foundation

Altman is no stranger to the blending of fields—philosophy, economics, neuroscience—into AI research. He argues that a CS education provides a toolkit that can be applied across domains: from biology (bioinformatics) to finance (quant trading) to the arts (generative media). In the interview, he referenced the OpenAI partnership with Microsoft, which is now using Azure to host AI services. The partnership has opened doors for students to work on cloud‑based AI projects right out of university.

3. Educational Accessibility Has Never Been Easier

The rise of Massive Open Online Courses (MOOCs) and platforms like Coursera, edX, and free‑code‑camp has democratized access to CS. Altman notes that “you can get a high‑quality CS education for free or for a fraction of a university’s cost.” This makes it possible for a more diverse group of people to enter the field. “The barrier to entry is lower than ever,” he says, highlighting how that democratization fuels both innovation and inclusivity.

The Ripple Effect: Mentorship and Community

Beyond the individual benefits of studying CS, Altman emphasizes the importance of mentorship and community. As a former Y Combinator partner, he has seen how a supportive ecosystem can accelerate talent. “When I was at YC, I could sit in a room and hear founders pitch ideas that went from 1 million to 1 billion in a few years,” he reminisces. He encourages newcomers to engage with local meetups, hackathons, and online communities. The Y Combinator alumni network alone has produced dozens of successful startups, many of them software‑centric.

He also highlights the role of public policy and responsible AI. Altman’s experience in shaping OpenAI’s charter demonstrates that ethical considerations are integral to tech careers. “You’re not just building tools,” he says, “you’re shaping how society interacts with those tools.” For aspiring CS professionals, this means that they have a responsibility that goes beyond code—an impetus to think critically about the societal impact of their work.

The Bottom Line: Let Accidents Be Your Allies

In summary, Sam Altman’s interview distills an essential truth: career success often emerges from the intersection of curiosity, uncertainty, and the willingness to seize accidental opportunities. His personal narrative—from a philosophy major at Stanford to a pioneer in AI—serves as a living case study. Altman’s advice is straightforward yet profound:

• Follow your curiosity—let it act as a compass.
• Stay uncertain—embrace the unknown as a source of creativity.
• Engage with community and mentorship—the collective knowledge fuels individual growth.
• Explore interdisciplinary applications—CS is a powerful bridge between domains.
• Leverage the current tech momentum—AI’s rapid development opens unprecedented opportunities.

Altman’s confidence that “now is the best time to get into computer science” is not hyperbole. It’s an invitation to the next generation of developers, researchers, and innovators. By listening to his accidental career advice and taking the leap into CS, aspiring tech talent can position themselves at the front lines of the AI revolution, just as Altman did—if only by accident.