If You Want a High Paying Tech Job in 2025, Watch This.

Summary

In this video, a tech CEO debunks the fear-based narrative about AI eliminating tech jobs. Instead, he explains how AI is transforming the job market by shifting demand for skills rather than causing job loss. The fastest-growing roles now involve AI expertise, and new job categories are emerging. The speaker emphasizes the importance of adapting to these changes, learning AI, and gaining hands-on experience to thrive in 2025. Ultimately, the key to success is embracing AI-driven opportunities and continuous learning, as traditional degrees alone no longer guarantee a tech career.

Takeaways

• 😀 Tech jobs are not disappearing, they're evolving. The landscape is shifting, not collapsing.
• 😀 AI is not a job killer but a job transformer. It’s shifting priorities and creating new opportunities.
• 😀 Many tech influencers spread fear about AI replacing jobs, but they often prioritize sensationalism over facts.
• 😀 Tech unemployment has risen but is still below the national average, indicating turbulence, not disaster.
• 😀 The fastest-growing job categories are in AI, such as AI engineers and consultants. There’s significant demand for AI expertise.
• 😀 The skills that got you hired five years ago might not be enough today. AI is changing the skills that are in demand.
• 😀 AI isn’t replacing jobs but rebalancing them, with entry-level coding roles declining while generative AI roles surge.
• 😀 Even product management and UX roles are being reshaped by AI, making some traditional roles less relevant.
• 😀 The demand for AI-savvy engineers is increasing because companies need people who can leverage AI tools effectively.
• 😀 AI doesn’t just replace engineers; it creates a paradox where more engineers are needed due to increased demand across companies.
• 😀 You don’t need to know how to code to take advantage of AI-driven opportunities. Understanding AI and its applications is key.
• 😀 The future world of work will blend human intelligence and AI, where roles like product managers and marketing managers will rely on both AI and human skills.
• 😀 New job categories will emerge, such as AI safety, ethics, and operations, much like the internet gave rise to web developers.
• 😀 Your degree is no longer the main qualifier for landing a job in tech; hands-on skills and experience are more important.
• 😀 Build your 'street cred' by contributing to open-source projects, creating AI-driven systems, and staying updated with rapid tech developments.
• 😀 The key to future success in tech is mastering AI tools, building real AI projects, and developing a strong ability to learn fast.

Q & A

Why does the speaker claim that tech jobs aren't disappearing?

The speaker argues that tech jobs are not disappearing, but instead, they are evolving. Some roles may be fading, but new roles are emerging as the industry adapts to new technologies like AI. The real issue is not the loss of jobs but the shift in the types of skills and roles that are in demand.

How does AI impact the skills required for tech jobs?

AI is changing the skill set needed for tech jobs. While traditional skills like coding may no longer be sufficient, new roles focused on AI tools, systems integration, and consulting are on the rise. People now need to learn AI tools and how to work with AI to remain relevant in the industry.

What is meant by 'verifiable domain' in the context of AI?

'Verifiable domain' refers to tasks or roles that AI can handle efficiently because they are based on clear, defined rules. AI can perform tasks like coding and testing with speed and accuracy, making traditional entry-level coding jobs less viable. This concept is essential for understanding how AI is reshaping tech careers.

What is the significance of the fastest-growing tech jobs according to LinkedIn?

LinkedIn reports that AI-related roles, such as AI engineer and AI consultant, are among the fastest-growing tech jobs. This highlights the increasing demand for professionals who can understand and work with AI technologies, rather than traditional coding-focused roles.

How does the speaker suggest that companies are adapting to AI?

The speaker explains that companies are not eliminating tech jobs due to AI, but rather shifting their focus. They need engineers who can effectively use AI tools to improve productivity, integrate systems, and maintain AI-driven workflows, creating demand for different types of technical talent.

What paradox does the speaker mention regarding the demand for engineers?

The paradox the speaker mentions is that while AI has made software development more efficient and cost-effective, the demand for engineers has increased. More tech companies are emerging, all competing for engineering talent, leading to a higher need for qualified professionals.

What roles in the tech industry will still require human involvement despite AI advancements?

Despite AI's advancements, human involvement will still be crucial in roles that require creativity, strategic thinking, and leadership. For example, in product management, marketing, and engineering, humans will still need to define vision, manage stakeholders, and ensure AI-generated solutions align with company goals.

What new opportunities does AI create for people without coding expertise?

AI is creating opportunities for individuals without coding expertise to thrive in tech. Roles such as AI consultants, project managers, and marketers who can understand and work with AI tools are emerging. People who can use AI effectively and creatively can carve out successful careers, even if they don't have coding backgrounds.

How does the speaker view the importance of degrees in securing a job in tech?

While a degree still provides a foundation for critical thinking and problem-solving, the speaker emphasizes that in 2025, a degree alone will not secure a job in tech. Practical skills, hands-on experience, and building a personal portfolio (or 'street cred') are more important in today's job market.

What are the five steps the speaker suggests for building 'street cred' in tech?

The speaker outlines five steps for building street cred: 1) Contribute to open-source projects, 2) Build AI-driven systems and projects, 3) Gain experience with open-source AI models, 4) Learn from leading AI experts, and 5) Master soft skills like communication and teamwork. These steps help demonstrate real-world expertise and a proactive approach to learning.