AI is no longer “emerging tech” – it’s the new operating system for how businesses run, build, and grow. And as companies race to adopt AI, the biggest challenge in the AI Economy isn’t the tools. It’s the talent.
So, what skills are companies actually hiring for in 2025 and beyond? And how can recruiters and candidates stay ahead of the curve?
Here’s what’s hot (and hiring) right now…
Prompt Engineering & AI Tooling
It’s no longer just about knowing how AI works, it’s about knowing how to work with it. Roles focused on writing effective prompts for large language models (LLMs), customising AI outputs, and integrating tools like ChatGPT or Claude are booming.
Candidate takeaway:
- Experiment with AI tools and build a personal portfolio of prompt work.
- Learn how to write structured, effective instructions for LLMs.
- Combine communication skills with technical curiosity, even non-tech backgrounds can break into this field.
Machine Learning & Applied AI
Still in high demand: machine learning engineers, data scientists, and AI researchers — but with a shift toward applied roles. Employers want people who can turn models into real-world products.
Candidate takeaway:
- Build side projects that show end-to-end application, from training to deployment.
- Stay updated on the latest ML frameworks and cloud platforms.
- Focus on outcomes, not just models, businesses care about ROI, not academic experiments.
AI Risk, Ethics & Governance
With great power comes… a compliance headache. As AI gets smarter, so does the need for professionals who can manage bias, explainability, and regulatory risks.
Candidate takeaway:
- Familiarise yourself with AI regulations like the EU AI Act or UK’s AI whitepapers.
- Learn how to audit models for bias, transparency, and fairness.
- Explore interdisciplinary roles — law, philosophy, data, and governance now overlap.
Human-AI Collaboration
Ironically, one of the most valuable skillsets in the AI economy is human interaction – managing change, leading hybrid teams, and building AI-literate cultures.
Candidate takeaway:
- Strengthen your leadership and communication skills.
- Learn the basics of AI so you can speak both “human” and “machine.”
- Position yourself as a translator between technical teams and business leaders.
Thoughts
The AI economy doesn’t just need coders, it needs communicators, critical thinkers, and translators who can make AI useful, safe, and scalable.
For recruiters, this is a huge opportunity:
- Spot unconventional talent
- Educate clients on new roles
- Lead the market, not follow it
Today’s candidates are sharper, faster, and more informed than ever.
They’re not just looking for a job, they’re evaluating processes, values, and employer brand from the very first click.
Because in 2025 and beyond, hiring for AI isn’t just about filling tech roles, it’s about building the future of work.
