How to land a tech job in 2025 with AI today

TL;DR

AI is not erasing tech jobs it is shifting demand toward AI enabled roles. To land a tech job in 2025 you should master AI tools build real AI driven projects and prove your skills with a strong portfolio and soft skills. Degree alone is less important than demonstrated capability and adaptability.

Transcript

Everyone's talking about how AI is a huge tsunami wiping out our jobs. They're wrong. As a tech CEO and a board member, I have helped build billion-dollar companies. And here's the truth. Tech jobs aren't disappearing, they're shifting. This is exactly how you land a tech job in 2025. My first point, doomsday isn't real. Everyone is saying tech job... Read More

Key Insights

• AI is changing the demand for tech skills, not reducing the number of tech jobs. The key to landing a 2025 tech job is evolving with the field and aligning with AI enabled roles.
• The most in demand roles are shifting toward AI expertise, including AI engineers and AI consultants, reflecting a broader rebalancing of skills rather than a decline in opportunities.
• Entry level coding tasks are shrinking while generative AI roles surge, illustrating the need to pair coding with context, product thinking, and integration capabilities.
• AI does not remove engineers, it shifts the kind of engineers needed to stitch together AI tools and build scalable systems.
• Non coding roles will still require human judgment; product management and marketing must define vision and strategy even when AI handles data analysis.
• A degree alone is less predictive of success in 2025; demonstrated skills, open source work, and real projects contribute more strongly to employability.
• Successful career progression will depend on mastering AI tools, building AI powered projects, and showing continuous learning and adaptability.
• The world of AI will keep creating new career paths such as AI safety, observability, and AI tooling, so staying ahead means learning how to learn fast.

Questions & Answers

Q: How to adapt to the 2025 tech job market according to the video

The video argues that tech jobs are evolving rather than disappearing. To adapt you should master AI tools and build real AI driven projects that demonstrate capability. Focus on creating a portfolio that shows you can apply AI to practical problems, and cultivate soft skills like communication and collaboration to stand out in teams.

Q: What are the fastest growing roles in tech per LinkedIn mentioned in the video

The video notes that the fastest growing roles according to LinkedIn are AI engineers and AI consultants. These roles reflect a shift toward AI enriched work where humans leverage AI tools to design, implement, and manage AI driven systems. Landing these jobs requires proving practical AI skills and project experience.

Q: Why is entry level coding experience less valuable now

Entry level coding is down because AI can write and test code at scale and speed. The video explains that the market rewards people who can contextually apply AI generated code, integrate components, and manage broader systems rather than just writing code from scratch. Building with AI requires broader skill sets.

Q: What does the video say about the role of a degree in 2025

The video says degrees matter less than before; they provide a foundation but are not enough alone. Success now depends on demonstrated skills, hands on AI projects, and the ability to learn quickly. Open source contributions and portfolio work can substitute for traditional credentials.

Q: How can someone build street cred in tech according to the speaker

The five step plan includes contributing to open source, building AI driven systems you can demo, gaining experience with AI models, learning from AI leaders, and mastering soft skills. Street cred comes from verifiable, practical work that proves you can ship with AI.

Q: What examples illustrate AI changing how teams work with coding tools

The speaker cites a company using AI coding tools like GitHub Copilot and Cursor and notes productivity gains unusual to traditional coding alone. The twist is that more engineers may be needed to stitch AI systems together, showing the need for integration and system design skills.

Q: What is the paradox about AI enabling more software and talent demand

The paradox is that while AI lowers the cost of building software, it increases competition for engineers as 10 times more companies chase talent. This means broader demand for people who can harness AI and still deliver valuable products, not fewer engineers.

Q: What does the speaker say about gender dynamics in AI roles

The speaker notes that while women made up 20 percent of engineering, 30 percent of AI consultants are women, indicating a positive shift in gender dynamics within AI related roles. This reflects broader changes in the tech landscape toward more diverse AI careers.

Summary & Key Takeaways

• This video argues that tech jobs are evolving not disappearing and emphasizes adapting to AI driven change. It highlights growing roles like AI engineers and AI consultants and advises building demonstrable AI projects and open source contributions to prove capability. It also stresses the importance of soft skills and continuous learning.

• The speaker uses real world examples to illustrate how AI tools can boost productivity yet increase demand for engineers who can integrate and manage AI systems. He warns against chasing yesterday’s job descriptions and encourages seeking new opportunities created by AI while maintaining a strong human skill set.

• Finally the video provides a practical five step plan to build street cred in tech including open source work open AI projects demos and learning from leading minds while maintaining curiosity and speed in learning.