5 careers that will grow in the AI era

Is your growth in-line with your peers in B2B SaaS & AI? 

Benchmark yourself against actual billings data for Maxio’s 2000+ global customers, alongside firsthand company perspectives to understand how growth varied by company size, business model, and strategic focus.

Key takeaways from the report: 

Download the report 

A lot of professionals are worried that AI will take jobs away. Some roles will absolutely change, and many tasks will be automated. But the bigger story is this: the job market is not disappearing, it is evolving. The World Economic Forum’s Future of Jobs Report 2025 highlights this shift, projecting that millions of new jobs could be created globally by 2030 while millions may also be displaced. The message is clear. Change is real, but so is opportunity.

AI adoption is already inside workplaces, not “coming soon.” Many knowledge workers are using AI tools at work, and large companies are deploying AI or actively experimenting with it. That means your advantage is not simply knowing that AI exists. Your advantage is choosing a path where human judgment still matters, and then combining that path with AI fluency.

Here are five career directions that can grow in the AI era.

First is cybersecurity. As AI becomes more powerful, threats also become more advanced. Attackers can use AI to scale phishing, automate scanning, and move faster. Companies need professionals who can protect systems, monitor networks, respond to incidents, and secure cloud environments. This field rewards strong fundamentals like networking, Linux, cloud, and hands-on security practice, and demand continues to rise.

Second is video editing and digital storytelling. AI can remove silence, generate captions, and speed up editing workflows, but it cannot replace taste, pacing, emotion, and story. Businesses need video more than ever, from training and marketing to YouTube, ads, and internal communication. Editors who learn to use AI tools while maintaining strong storytelling skills will stand out, because the value is not just cutting clips, it is keeping attention and communicating a message.

Third is AI product management. Companies everywhere are asking how to add AI into products, automate workflows, and improve customer experience. AI product managers do not need to be the best coder in the room, but they do need to understand what AI can do, what it cannot do, and how to translate business needs into clear requirements for engineering teams. If you already have experience in operations, project management, business analysis, customer success, or tech, this can be a strong path.

Fourth is AI engineering and automation. Many companies do not just want “AI awareness.” They want people who can build practical solutions, connect models to data, create internal assistants, automate workflows, and implement approaches like RAG so AI can answer questions using company documents and knowledge bases. This path is especially strong if you enjoy building, scripting, and systems thinking. A practical starting point is Python basics, APIs, automation tools, and then moving into AI-powered workflows and agentic systems.

Fifth is AI upskilling trainer or AI productivity consultant. Many companies know AI matters, but their teams do not know how to use it safely and productively. That creates demand for professionals who can teach AI in simple language, build practical workflows, and help teams adopt tools with the right guidelines and policies. If you enjoy teaching, coaching, or improving how teams work, this can become a powerful career direction.

The most important takeaway is this: do not just watch content about AI. Build proof. Create a small portfolio, a sample automation, a simple AI workflow, a training demo, or a case study that shows how you solved a real problem. In the AI era, your results and your proof will speak louder than your titles.