By Samantha Cetin
Why L&D Professionals Are Feeling the AI Pressure—and How to Step Into It with Confidence
The conversation around artificial intelligence is no longer emerging—it’s here, it’s loud, and it’s reshaping the way we work. Across organisations, senior leadership teams are looking to Learning and Development (L&D) professionals with a new expectation: be the experts. Not just in learning design, capability building, or behavioural change, but in AI. And that’s where the pressure starts to build.
For many L&D practitioners, this expectation feels both exciting and overwhelming. We are being asked to guide others through something that is still evolving, still uncertain, and in many cases, still unfamiliar to us. There’s an unspoken tension: How can we lead others confidently if we’re still figuring it out ourselves?
If you’ve felt this, you’re not alone. The good news? You don’t need to be an AI expert overnight. What’s needed is something far more achievable, and far more powerful: a willingness to learn, experiment, and lead through curiosity.
Why L&D Is Feeling the Heat
L&D has always been at the forefront of change. Whether it’s digital transformation, leadership capability, or cultural shifts, our role has consistently been to enable others to adapt. But AI is different in three key ways:
1. The pace is unprecedented: AI tools and capabilities are evolving rapidly. What was cutting-edge six months ago is now baseline. This creates a constant sense of needing to “keep up.”
2. The expectations are higher: Leaders aren’t just asking for awareness sessions—they’re expecting practical integration. They want employees to use AI to improve productivity, decision-making, and innovation.
3. The ambiguity is real: Unlike many previous initiatives, there’s no single playbook for AI adoption. Ethical considerations, organisational readiness, and varying levels of digital confidence all add layers of complexity.
Put simply, L&D professionals are being asked to lead a transformation while still navigating it themselves.
Reframing the Role: From Expert to Explorer
One of the most helpful mindset shifts is this: you don’t need to position yourself as the expert in AI. Instead, position yourself as the enabler of AI learning.
Your strength isn’t knowing every tool or feature; it’s knowing how people learn, how behaviour changes, and how to create environments where experimentation feels safe. In many ways, this is where L&D shines.
Rather than asking, “Do I know enough about AI?”, a more useful question is:
“How can I help others build confidence and capability with AI while doing the same for myself?”
Where to Start: Practical Steps That Build Confidence
If the pressure feels high, the best response is action—small, consistent, and intentional.
1. Start Using AI Yourself
This is the most important step, and often the most overlooked. You cannot effectively support others in adopting AI if you’re not experiencing it firsthand. Start simple. Use AI tools in your day-to-day work:
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Drafting learning objectives
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Creating workshop outlines
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Generating scenario-based learning activities
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Summarising research or reports
- Brainstorming ideas for engagement
The goal isn’t perfection; it’s familiarity. The more you use AI, the more you understand its strengths, limitations, and practical applications.
Over time, something shifts. What once felt intimidating becomes intuitive.
2. Get Curious About Prompting
If AI is the engine, prompts are the steering wheel. The quality of output you receive is directly linked to the quality of your input. Learning how to write effective prompts is one of the highest-value skills you can build right now.Strong prompts tend to be:
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Clear – What exactly are you asking for?
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Contextual – What background information is needed?
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Specific – What format, tone, or outcome do you want?
For example, instead of asking: “Create a training activity”
Try: “Create a 10-minute interactive activity for a leadership workshop that helps managers practice giving constructive feedback. Include instructions, timing, and debrief questions.”
It’s a small shift, but it delivers significantly better results. Equally important is understanding what doesn’t work. Vague, overly broad, or rushed prompts often lead to generic outputs. Treat prompting as a skill to refine over time, not a one-off task.
3. Immerse Yourself in the Conversation
You don’t need to figure this out alone. There is a growing ecosystem of webinars, seminars, podcasts, and communities focused on AI in the workplace. Engaging with these resources helps you:
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Stay current with trends and tools
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Learn from real-world case studies
- Understand how other organisations are approaching adoption
More importantly, it normalises the journey. You’ll quickly realise that many L&D professionals are asking the same questions and navigating similar challenges.
Learning in community reduces pressure, and builds momentum.
4. Experiment, Reflect, Repeat
AI adoption is not a linear process. It’s iterative. Try something. See what works. Reflect on the outcome. Adjust.
For example:
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Pilot an AI-powered activity in a workshop
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Introduce a simple AI tool to a small team
- Run a session focused on “AI basics” and gather feedback
Not everything will land perfectly, and that’s okay. In fact, modelling experimentation (and even imperfection) creates psychological safety for others to do the same. This is how capability builds—not through perfection, but through practice.
5. Focus on Practical Application
One of the biggest risks in AI learning is staying too theoretical. Employees don’t just need to understand what AI is—they need to know how to use it in their role.As L&D professionals, this is where you can add real value:
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Tailor examples to specific job functions
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Create role-based scenarios
- Provide “day one” use cases that feel immediately relevant
When people can see how AI makes their work easier, faster, or better, adoption becomes far more natural.
Leading with Confidence (Even When You’re Still Learning)
It’s easy to feel like you need to have all the answers before stepping forward. But in reality, leadership in this space looks different. It looks like:
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Saying, “Let’s explore this together”
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Sharing what you’ve learned (and what you’re still figuring out)
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Creating space for others to experiment
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Encouraging curiosity over perfection
Confidence doesn’t come from knowing everything. It comes from being willing to engage, learn, and lead anyway.
A Moment of Opportunity for L&D
While the pressure is real, so is the opportunity. AI is elevating the visibility and importance of L&D in a way we haven’t seen before. Organisations are recognising that successful adoption isn’t just about technology—it’s about people. And that’s our space.
We understand how to build capability. We understand how to drive behavioural change. We understand how to make learning stick. AI doesn’t replace that; it amplifies it.
If you’re feeling under the pump, take a breath—you’re exactly where you need to be. This is not about becoming an overnight expert. It’s about stepping into a new chapter of our profession with curiosity, courage, and a willingness to learn.
Start small. Stay consistent. Keep experimenting. And most importantly, remember: you’re not behind—you’re in it. Right alongside everyone else.
Interested in AI and eLearning?
AITD offers several courses on both AI and eLearning:
AI Essentials for L&D Professionals: Do you want to transform your L&D workflow and enhance learner experiences using Generative AI? In this blended learning course, you’ll learn how to use Generative (Gen) AI for a range of key L&D functions, including skills gap analysis, content creation, personalised learning and feedback. Register now.
eLearning: Foundations: This is Part I of an engaging, social learning suite of courses that provides you with access to learning experiences, activities and a comprehensive knowledge base. Register now. You may also be interested in eLearning: Planning and Design; and eLearning: Production and Delivery.
About the Author: Samantha Cetin
Samantha Cetin is an experienced Learning and Development leader with over 20 years’ experience designing and delivering impactful capability solutions across complex organisations. She specialises in leadership development, behavioural capability, and building practical, scalable learning strategies that drive real business outcomes.
Samantha has led the design and rollout of global leadership programs, organisation-wide capability frameworks, and digital learning initiatives, with a strong focus on creating engaging, human-centred learning experiences. She is particularly passionate about helping organisations navigate change—most recently supporting leaders and teams to build confidence and capability in the evolving AI landscape.
Known for her pragmatic and relatable approach, Samantha brings a balance of strategic thinking and hands-on application, enabling individuals and organisations to learn, adapt, and perform at their best.
