Will Larson's "Career Advice in 2025" predicts the evolving job landscape, emphasizing the growing importance of generalist skills alongside specialized expertise. The rise of AI will demand adaptability and a focus on uniquely human capabilities like complex problem-solving, creativity, and communication. Building a strong network, embracing lifelong learning, and demonstrating initiative through personal projects will be crucial for career advancement. Rather than chasing specific job titles, individuals should cultivate transferable skills and seek opportunities to develop a broad understanding of their industry, positioning themselves for a rapidly changing future of work.
Facing a shortage of skilled tradespeople and a growing recognition of the value of hands-on learning, high schools across the U.S. are reviving shop classes. These modernized programs, often incorporating advanced technologies like robotics and 3D printing alongside traditional woodworking and metalworking, aim to equip students with practical skills applicable to various industries. The resurgence is driven by employer demand, student interest in alternatives to college, and a desire to foster problem-solving abilities and critical thinking. These revamped shop classes offer pathways to well-paying jobs directly after graduation or provide a foundation for further technical education.
Hacker News users generally lauded the return of shop class, citing the value of hands-on learning, problem-solving skills, and exposure to trades. Several commenters shared personal anecdotes about how shop class positively influenced their career paths, even if they didn't pursue a trade directly. Some expressed concern about the cost and difficulty of implementing these programs effectively, including the need for qualified instructors and adequate safety measures. The importance of incorporating modern technology like CAD and 3D printing into shop curriculum was also discussed. A few commenters cautioned against viewing shop class as a solution for all students, emphasizing the need for diverse educational pathways. There was also some discussion of the societal shift away from valuing vocational skills and how its resurgence could address the current skilled labor shortage.
The UK possesses significant untapped hardware engineering talent, hindered by a risk-averse investment landscape that prioritizes software over hardware startups. This preference stems from the perceived higher costs and longer development timelines associated with hardware, leading to a scarcity of funding and support. Consequently, promising hardware engineers often migrate to software roles or leave the country altogether, depriving the UK of potential innovation and economic growth in crucial sectors like semiconductors, robotics, and clean energy. The author argues for increased investment and a shift in perspective to recognize the long-term value and strategic importance of fostering a thriving hardware ecosystem.
Hacker News users discuss the challenges and potential of the UK hardware industry. Several commenters point out the difficulty of competing with US salaries and stock options, making it hard to retain talent in the UK. Others argue that the UK's strength lies in specific niche areas like silicon design, photonics, and high-end audio, rather than mass-market consumer electronics. Some suggest that the UK's smaller market size discourages large-scale hardware ventures, while others highlight the role of universities and research institutions in fostering talent. There's also discussion about the impact of Brexit, with some claiming it has worsened the talent drain, while others downplay its effect. Finally, some commenters suggest potential solutions, like government incentives, increased investment, and fostering a stronger entrepreneurial culture to retain and attract hardware talent within the UK.
Summary of Comments ( 117 )
https://news.ycombinator.com/item?id=43375923
HN commenters largely agreed with the author's premise that specializing in AI/ML while maintaining broad software engineering skills is a strong career strategy. Several pointed out the importance of "engineering out of" AI/ML roles as they become commoditized, emphasizing the ability to adapt. Some debated the long-term viability of "prompt engineering," with skepticism about its longevity as a specialized skill. Others highlighted adjacent areas like data engineering, MLOps, and AI safety as potentially valuable specializations. A few commenters offered alternative perspectives, suggesting that focusing on fundamental computer science principles remains crucial, and that over-specialization in a rapidly evolving field could be risky. There was also discussion around the importance of domain expertise, regardless of the technological landscape.
The Hacker News post titled "Career Advice in 2025" (linking to lethain.com/career-advice-2025/) has generated a moderate number of comments, discussing the original author's advice on navigating a career in tech, particularly in the context of the rise of AI.
Several commenters appreciated the author's emphasis on fundamental skills. One commenter highlighted the timeless value of "clear communication, empathy, systems thinking, and strong execution," agreeing that these skills remain relevant regardless of technological advancements. They also noted the importance of adaptability and the ability to learn quickly as key skills for future-proofing a career.
Another commenter concurred, pointing out that the advice offered was "solid and evergreen," and emphasizing that "being good at the fundamentals" was a key takeaway. They elaborated that even though tools and technologies change rapidly, the underlying principles of problem-solving and critical thinking remain valuable assets.
Some discussion revolved around the balance between specializing in a specific niche versus broadening one's skillset. While acknowledging the appeal of specialization, especially in AI-related fields, some commenters cautioned against over-specialization, arguing that a broader understanding of multiple domains could become even more crucial in a rapidly changing landscape. They suggested that a "T-shaped" approach, combining deep expertise in one area with a broader understanding of related fields, could be a more effective strategy.
One commenter offered a slightly different perspective, focusing on the importance of understanding and leveraging AI tools. They posited that, rather than fearing obsolescence, professionals should learn how to effectively utilize AI as a tool to augment their capabilities and increase productivity.
The topic of personal branding and networking also emerged in the comments. One commenter, identifying as a hiring manager, stressed the importance of building a strong personal brand and maintaining an active network. They suggested that demonstrating passion, enthusiasm, and a commitment to lifelong learning can make a significant difference in career advancement.
Finally, there was some discussion about the specific advice regarding Generative AI. One commenter cautioned against relying too heavily on Generative AI for coding, arguing that it can lead to a decline in fundamental coding skills. They stressed the importance of understanding the underlying principles of programming and algorithms, even when using AI-assisted tools.
In summary, the comments generally reflect a positive reception of the original author's career advice. There's a strong consensus on the enduring value of fundamental skills, adaptability, and continuous learning. The discussion also explores the nuances of specialization versus generalization, the importance of leveraging AI tools effectively, and the continued relevance of personal branding and networking in a tech-driven world.