Top Tech careers to start pursuing in 2025 (USA, Canada, EU focus)

Summary

In this video, Daria discusses the top five best tech jobs to pursue in 2025, following her previous video on the worst tech jobs. While AI is a major focus, Daria emphasizes that these careers are about solving real-world problems. She covers cloud security, IoT, business ops, data science, and deep learning, highlighting the growing demand in each field and the skills needed to succeed. With the cybersecurity job market rapidly expanding and the rise of IoT devices, Daria explains how these areas offer both high career longevity and financial rewards, making them ideal for aspiring professionals.

Takeaways

• 😀 Cloud security engineers and AI security specialists will be in high demand by 2025, with the cloud security market expected to grow from $37 to $83 billion by 2027.
• 😀 The need for AI security professionals is urgent due to the rise in AI-specific threats like data poisoning and model inversion attacks.
• 😀 There will be a shortage of cybersecurity professionals, with a predicted 3.5 million unfilled jobs in cybersecurity by 2025.
• 😀 IoT devices are expected to surpass 29 billion by 2030, and the IoT market will grow to $1.1 trillion globally, creating new job opportunities.
• 😀 Securing IoT devices is a critical challenge, as they serve as entry points for cyberattacks, requiring a growing need for skilled professionals.
• 😀 The demand for IoT-related jobs includes IoT architects, software developers, vulnerability engineers, and IoT developers.
• 😀 AI implementation in legacy companies faces significant barriers, including resistance to change, data silos, and the cost of integration.
• 😀 There is a gap in business operations talent that understands how to integrate AI into legacy systems, creating opportunities for professionals who can bridge this gap.
• 😀 Data science, particularly deep learning, is one of the hottest careers in tech for 2025 and beyond, especially in areas like computer vision and predictive analysis.
• 😀 The field of deep learning has a high barrier to entry, requiring expertise in mathematics, programming, and specialized frameworks, but offers lucrative career prospects.
• 😀 Careers in machine learning and data science are highly secure as they are rarely outsourced, with many companies maintaining in-house teams for these functions.

Q & A

What is the focus of Daria's YouTube channel 'TechB Make It Real'?

Daria's channel focuses on tech career development, tech news, and providing insights into various career opportunities in the tech industry.

How does Daria contrast the use of AI in tech careers?

Daria highlights that while AI is an important tool, not all tech careers are related to AI. The careers she discusses are based on solving real-world problems, even though AI is a part of the broader landscape.

What is the significance of the AI-related revenue report Daria references?

Daria mentions a report stating that only 15% of OpenAI's revenue comes from APIs. This suggests that a large part of AI's revenue is actually from end users, and it could imply that AI is not yet solving as many difficult business problems as the media portrays.

Why does Daria recommend Cloud Security as a promising career in 2025?

Daria emphasizes the rapid growth of the cloud security market, which is expected to grow from $37 billion to $83 billion by 2027. The increasing number of cyber threats and a significant talent gap make cloud security and AI security careers highly in demand.

What are the challenges and opportunities in the field of AI security?

AI security faces challenges like data poisoning, model inversion attacks, and AI-specific threats due to the vast amounts of sensitive data processed by AI-powered solutions. There is a talent gap, and specialists who understand data science, machine learning, and cybersecurity are in high demand.

How does Daria describe the growing demand for IoT professionals?

With IoT devices expected to exceed 29 billion by 2030, there is a growing demand for IoT professionals who can secure devices and handle their data. The field offers opportunities in hardware, security, and data science, with jobs like IoT architect, developer, and vulnerability engineer being highly sought after.

Why might IoT not be the best field for those interested in product management?

Daria notes that IoT companies, which are primarily focused on hardware, do not typically have the same demand for product managers as software-focused tech companies. The lack of traditional product management work in IoT makes it a less attractive field for people pursuing that career path.

What are the challenges that business operations professionals face when integrating AI into legacy companies?

Integrating AI into legacy systems is difficult due to data silos, legacy platforms, and resistance from both business and engineering teams. There is a lack of business operations talent that understands the technical and organizational challenges, making it hard to successfully implement AI solutions.

What makes the data science and deep learning fields particularly promising in 2025?

Data science, especially deep learning, offers immense career potential due to high demand across various industries, including healthcare, finance, and government. Daria points out that deep learning applications like computer vision and predictive analysis are in short supply of talent, creating a secure and financially rewarding career path.

Why does Daria suggest that working in machine learning and data science departments is less likely to involve outsourcing?

Daria explains that unlike web development, which is commonly outsourced, machine learning and data science are typically kept in-house within tech companies. This in-house demand ensures greater job security for professionals in these fields.