Software Engineers Dive into the Era of AI

AI: A Second Job for Software Engineers

In the dynamic world of technology, software engineers are faced with a new challenge: the intensive learning of artificial intelligence (AI) tools. For many, this means dedicating more than 20 hours per week to experimentation and acquiring new skills. This trend is driven by the need to remain relevant in a rapidly changing industry. Developers have shared with Business Insider their commitment to spending around 20 hours per week learning about AI, emphasizing the importance of this endeavor for their careers.

As the industry undergoes a major transformation, software engineers find themselves compelled to take on an additional role: that of continuous learning. Some choose to specialize in AI-focused roles, while others, even in more traditional positions, feel the pressure to keep pace with the rapid innovations. Jason Grad, co-founder and CEO of Massive, exemplifies this phenomenon by dedicating 20% of his time to learning and experimenting with new technologies.

In conversations with Business Insider, several developers and tech leaders described how they manage to carve out from one hour a day to over 20 hours per week to learn new tools and adapt to ever-evolving demands. While the time spent on skill development varies among engineers, the pressure they all feel is the same: adapt or fall behind.

An Unavoidable Requirement

Pratiksha Patnaik, an infrastructure engineer at Google, has seen her role evolve with the rise of AI. Transitioning from network security to the adoption of generative AI solutions, she dedicates several hours each week to training on these new technologies. She states that this learning has now become a requirement of her job, without which she risks being left behind.

Maahir Sharma, a young software engineer, has also felt the urgency to train in AI. After a decade honing his coding skills, he initially feared that AI might threaten his job. However, he chose to view this evolution as an opportunity, investing 20 hours per week in learning about AI, particularly through online courses on topics such as prompt engineering and building AI agents.

Marc Kriguer, working in an insurance company, spends between 30 minutes and an hour daily exploring new tools. Using platforms like CodeSignal, he enhances his skills in Go while taking courses on AI. For him, as for many others, continuous learning has become a necessity to remain competitive.

Beyond practical experimentation and courses, part of the challenge lies in determining what comes next. Feneel Doshi, a 27-year-old software engineer at a startup in Jersey City, stated that he dedicates four to five hours per week to experimenting with tools. He starts his weekday mornings by reading newsletters like TLDR and Flipboard, as well as blogs from developers at OpenAI and Anthropic, to stay informed about the latest in the industry.

Individual contributors are not alone in this race. Tech leaders, who are expected to lead the charge on AI adoption, have also reported that they carve out extra hours each day to keep up with the pace of change.

Keith Ballinger, Vice President and General Manager at Google, told Business Insider that he sends out a weekly email to track what he is working on to hold himself accountable. He indicated that he spends over 20 hours per week experimenting with tools.

The Excitement of Experimentation

Learning about AI is not just a professional obligation. For many engineers, it is a passion. Maahir Sharma describes experimenting with AI as an addictive activity, especially when it leads to tangible results. This passion is shared by Keith Ballinger from Google, who dedicates over 20 hours per week to AI purely for enjoyment.

Emrick Donadei, an engineer at Google, sees hackathons as an opportunity to turn his projects into real features. This perspective of creation and innovation is a source of optimism for Sharma, who cites the example of OpenClaw, a tool developed in a month that went viral. For these engineers, AI represents not only a professional challenge but also a source of inspiration and personal satisfaction.