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AI is forcing an uncomfortable question across Education, HR and Learning and Development. Erica reflects on Season 4, Episode 4 of our podcast, AI for the Average Joe, to explore whether we’re still assessing, training and developing people for a world that no longer exists.
In Season 4, Episode 4 of the AI for the Average Joe podcast, I spoke with Mark Hooley, Teacher, Entrepreneur and CEO of GOER — the Global Online Education Regulators. Mark works at the intersection of online education, accreditation, assessment and Artificial Intelligence (AI), and his perspective should make senior HR and L&D professionals sit up.
Because although the conversation focused heavily on Education, the message applies directly to Corporate Learning.
If AI can now produce the essay, summarise the document, draft the policy, analyse the evidence and generate the report, then the question is no longer simply, “Can people complete the task?”
The better question is:
“Can they understand it, challenge it, apply it, communicate it and make a good decision with it?”
That is where the real future skills conversation begins.
Mark described how GOER uses AI within its accreditation process to analyse evidence, match information against standards and generate richer insight. But he was very clear on one thing:
AI supports the process. Humans make the decision.
That distinction matters.
In too many organisations, AI is still being talked about in extremes. Either it is treated as a shiny productivity tool that will magically save time, or it is positioned as a threat to jobs, judgement and expertise.
Neither view is good enough.
The opportunity for HR and L&D leaders is to design AI training that helps people use AI to strengthen their thinking, not outsource it.
AI can help us spot blind spots, process large amounts of information and surface patterns we might miss. But it still needs human context, challenge and interpretation. Without that, we risk creating faster processes that produce weaker decisions.
One of the strongest points Mark made was that AI is only as useful as the context we give it.
In his world, assessors need to provide detailed context about the organisation they are reviewing: its history, challenges, learners, operating environment and cultural differences. Without that context, the AI output becomes generic at best and misleading at worst.
The same is true in corporate learning.
If employees are simply taught how to “write better prompts”, we are missing the point. The real skill is knowing what context matters.
Where could the output be biased, incomplete, too simplistic or commercially naive?
This is why AI capabilities cannot be limited to Digital Skills Training. It must be embedded into Leadership Development, Management Training, Workplace Learning and Organisational Development.
One of the most powerful parts of the conversation was Mark’s challenge around traditional assessment.
Why are schools still setting homework that AI can complete in seconds? Why are learners still being assessed in ways that do not reflect how work now gets done? Why are exams still built around memory, when the real value is increasingly understanding, judgement and communication?
The corporate equivalent is just as important.
Why are we still designing employee training around content completion?
Why are we still measuring learning by attendance, modules completed or knowledge checks that AI could answer instantly?
Why are we still treating learning as information transfer when the real business need is behaviour change, better decision-making and stronger human capability?
AI should push L&D to move beyond “did they know the answer?” and towards “can they use the answer well?”
That means more scenario-based learning, more presentations, more discussion, more reflective practice, more manager-led application and more evidence of how people use AI in real work.
Mark talked about the need to combine AI exposure with human capability: communication, empathy, emotional intelligence and the ability to present and explain ideas.
This matters deeply for HR and L&D.
As AI takes on more of the technical, administrative and analytical load, the human skills become more visible, not less:
These are not fluffy extras. They are the skills that determine whether AI improves work or simply accelerates poor practice.
The organisations that win will not be the ones that give everyone access to AI tools and hope for the best. They will be the ones that intentionally build the human capability around the technology.
A theme that came through strongly in the conversation was time. AI can save time. But the point is not just to squeeze more output from people.
The real opportunity is what I call the AI Dividend™: the personal and organisational value created when AI gives people more time, headspace, confidence, motivation and wellbeing.
For teachers, that might mean less time on repetitive planning or admin and more time supporting learners.
For HR teams, it might mean less time drafting from scratch and more time advising the business.
For managers, it might mean better preparation, clearer communication and more thoughtful decisions.
For employees, it might mean more confidence to contribute, create and learn.
That is a much more compelling adoption story than “use AI so we can get more done”.
If your organisation is ready to move beyond basic AI awareness and build practical, human-first AI capability across your workforce, we can help you design learning that turns AI adoption into meaningful performance, confidence and change.
Get in touch to explore AI training, leadership activation and future skills development for your teams.
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