AI and your career: which jobs will change – and how to stay ahead

The rise of Artificial Intelligence (AI) is reshaping the world of work faster than many predicted. Roles are being transformed, redefined, or phased out altogether. But this isn’t just a story of loss—it’s also one of opportunity. While some jobs are at risk of automation, others will thrive or be newly created. The key question is not if your career will be affected, but how you can adapt.

6/18/20251 min read

Jobs most likely to be disrupted

AI systems excel at analysing data, recognising patterns, and automating repeatable processes. As a result, roles that rely heavily on structure and routine are at high risk of change. These include:

Administrative and clerical roles: Tasks like scheduling, invoicing, and data entry are increasingly handled by intelligent systems.
Customer service: AI chatbots handle a growing share of basic queries in banking, retail, and utilities.
Junior legal, finance, and HR roles: Reviewing contracts, processing expenses, or screening candidates are now partly automated.
Basic content production and coding: Generative AI is used for producing standard blog posts, social media content, and simple code.

Jobs most likely to grow or be enhanced

Roles that require creativity, empathy, leadership, and complex judgement remain highly valued. These include:

AI and machine learning specialists: Designing, training, and interpreting AI systems.
Cybersecurity analysts and privacy experts: New vulnerabilities mean greater demand for protection.
Ethics, policy, and compliance professionals: Needed to guide responsible AI development.
Learning and development experts: Supporting reskilling as roles evolve.
Strategic, creative, and people-centred roles: Innovation, branding, coaching, and change leadership.

What kind of learning will help you stay relevant?

1. Digital literacy and AI fluency

Learn the basics of how AI tools work in your industry.
Build confidence using platforms like ChatGPT, Notion AI, or Midjourney.
Understand data privacy and ethical issues.

2. Data analysis and visualisation

Learn to interpret data and use tools like Excel, Power BI, or Tableau.
Basic Python or SQL can be an advantage even in non-technical roles.

3. Emotional intelligence and communication

Strengthen skills in listening, coaching, storytelling, and clear messaging.
McKinsey and Harvard research shows these skills are increasingly valued in leadership and client-facing roles.

4. Adaptability and growth mindset

Psychologist Carol Dweck's work shows that a growth mindset leads to better learning outcomes.
Embrace feedback, develop resilience, and reflect on progress regularly.

5. Sector-specific upskilling

Track how AI is being used in your field.
Identify new tools, platforms, regulations, or certifications.
Consider short courses, internal projects, or volunteering to stay ahead.

Final thoughts

AI is changing the landscape, but it is not replacing people. It is changing how we work and what skills we need. The most successful professionals are likely to be those who learn fast, adapt well, and remain deeply human.