Has AI featured in your professional development?
As we approach the final weeks of 2025, it’s time for that familiar yet crucial exercise: reviewing your professional development over the past year. But this year, I’d encourage you to add a new lens to your reflection – one that’s reshaping careers across every sector and at every level.
Are you actively building AI literacy as part of your professional growth?
The traditional development audit
You’ve likely already considered the conventional markers of progress: new responsibilities taken on, projects delivered, relationships built, technical skills acquired, and perhaps a promotion or role change. These remain important measures of career advancement, so you should absolutely acknowledge them.
As a career management coach working with professionals across industries, I’ve observed a widening gap emerging. And its not between those who have AI skills and those who don’t. It’s between those who are actively building their AI literacy and those who are waiting for it to become “necessary.”
The professionals thriving in 2025 aren’t necessarily the ones with the most sophisticated technical knowledge of AI. They’re the ones who’ve woven AI exploration into their continuous development mindset.
The AI development framework you might be missing
So if you’ve not yet considered AI as part of your professional toolkit, or if you’ve approached it sporadically, it’s worth understanding what a structured approach might look like. Leading organisations are building AI capability across three distinct levels, and each has relevance for your individual development:
AI foundations for all
This isn’t about becoming a data scientist or understanding transformer architectures. It’s about establishing a common knowledge base so you can confidently experiment and integrate AI into your everyday work.
Ask yourself:
- Can you articulate what generative AI actually does?
- Do you understand its limitations as well as its capabilities?
- Have you experimented with AI tools enough to develop an intuition for when they’re helpful and when they’re not?
Building this foundation isn’t a six-month commitment. It’s about dedicating time (perhaps an hour a week) to genuine exploration. Read articles, experiment with tools, discuss use cases with colleagues. The goal is confidence, not expertise.
Role-based skill building
Once you’ve established foundational understanding, the next level focuses on practical applications within your specific role. This is where AI moves from being interesting to invaluable.
Engineers might explore coding assistants that accelerate development and catch errors. Customer support professionals might investigate onboarding assistants that help new team members get up to speed faster. Marketing professionals might experiment with tools that streamline content creation or audience analysis.
The question for your year-end review:
- Have you identified and tested AI tools tailored to your particular function?
- Have you moved beyond generic experimentation to deliberate skill-building in tools that directly impact your daily work?
This level requires more than passive awareness. It demands actively using and integrating the tools into your workflows.
Reskilling for emerging roles
The third level is more future-focused but no less important. As AI reshapes how work gets done, some roles will evolve significantly, others will diminish, and entirely new positions will emerge – some of which we can’t yet fully imagine.
This isn’t meant to induce anxiety but to prompt proactive thinking.
- Are you in a role likely to be substantially impacted by AI?
- If so, what pathways are you exploring to reskill for emerging opportunities?
This might mean identifying adjacent roles where human judgment, creativity, or relationship-building remain central. It might mean developing skills in AI implementation, change management, or ethical oversight of AI and its implementation. Or it might mean positioning yourself for roles that don’t yet exist but likely will – watch this space!
Conducting your AI development audit
As you reflect on 2025, I’d suggest asking yourself these specific questions:
Foundation level: Have I built sufficient AI literacy to feel confident discussing its applications in my field? Can I distinguish between hype and genuine capability?
Application level: Have I identified and begun using AI tools that enhance my specific role? Am I more efficient, creative, or effective as a result?
Strategic level: Am I thinking ahead about how AI might reshape my role or industry? Am I taking steps to position myself for emerging opportunities?
If you’re answering “no” or “not really” to these questions, you’re not alone – but you are falling behind. The encouraging news is that 2026 offers a fresh opportunity to change this!
Looking ahead to 2026
Professional development requires you to be proactive. I have noticed that the professionals who advance aren’t those who passively accumulate experience; they’re the ones who actively seek growth, identify skill gaps, and commit to continuous learning.
So as you set your development goals for 2026, I’d encourage you to make AI literacy and it’s application a core part of your professional growth.
Where will you be when we have this conversation again next year?
As a career management coach, I strive to inspire career professionals to see change as an incredible opportunity to re-evaluate your career. If you’re feeling uncertain about your career direction or questioning what you are capable of, please don’t hesitate to get in touch with me. I’m here to help.