Will AI drive and resolve the skills gap?

Habit of Improvement Will AI drive or resolve the skills gap?

The impact of AI (Artificial Intelligence) on office and knowledge workers is undeniable. These jobs will not that easily disappear or replaced by robots, but the skills required to remain complementary to AI will be very different.  EdTech providers claim that they rely on AI to ensure that our employees acquire those skills to remain employable. Will AI therefore not only be the catalyst of the new knowledge society, but also the solution.

About 50 per cent of workers across all sectors believe that automation will give them an opportunity to develop their skills [1]

Deloitte

In the Future of Jobs Survey [2] (2020), 94% of business leaders report that they expect employees to pick up new skills on the job, a sharp uptake from 65% in 2018.  Furthermore, they report that, on average, those organizations provide access to reskilling and upskilling to 62% of their workforce, and that by 2025 they will expand that provision to a further 11% of their workforce. However, employee engagement into those courses is lagging behind, with only 42% of employees taking up employer-supported reskilling and upskilling opportunities.


The rise of online learning

The same report states that active learning and learning strategies are the second most important skill. Motivating employees and guiding them towards a personal growth mindset must be the first priority of organizations that want to be agile towards the future.  Therefore, an organization’s learning curricula is expected to blend different approaches – drawing on internal and external expertise, on new education technology tools and using both formal and informal methods of skills acquisition.  Learning should be integrated not only in the flow of work also in the flow of life[3].The rise of EdTech and online learning platforms in the future of learning is striking. Where only 16% of employer learning initiatives were online in 2018, a five-fold increase was noted since the outbreak of Covid-19. The pandemic was also a catalyst for individuals seeking opportunities for learning through their own initiative with a four-fold increase. However, most striking is the nine-fold enrolment increase for learners accessing online learning through government[4]


Personalized learning experiences with AI 

What have online learning platforms to offer that is so appealing for both organizations and individual learners?  For, sure there is the aspect of cost and ease-of-use. But I believe that the main reason can be found in claims providers of learning experience platforms (LXP) make regarding AI.  Are they really talking about AI, I doubt it?   

AI and machine Learning are often used interchangeably, especially for the purpose of advertising products.[4]

KPISoft

In brief. There are many misconceptions about what AI is and what it is not. Terms such as strong and weak AI are used to explain the differences between machine learning, neural networks and deep learning. In addition, there is the distinction that we must make between supervised and unsupervised learning. In other words, does the algorithm determine what we learn, or does it support what we learn.  Are we looking for adaptive learning based on data to create more personalized learning paths and engagement or do we risk learners to get content that is not matched with their learning needs? 

What I notice with digital learning strategies is the condition that AI supports learning. All too often, this is put forward without understanding what it really means. Here, I am in agreement with the advice of Geertrui Mieke De Ketelaere to involve AI translators in projects before decisions are made to invest in any technology.[5]

Ethical aspects of AI powered learning

The question arises whether we want algorithms and automation to determine what an interesting learning path or career path for us is. Amazon noticed that AI is not always without bias, when they collided on the ethical test after launching their recruiting tool in 2014. At first glance, this tool would be able to select the best candidates based on data without prejudice. In effect, Amazon’s system taught itself that male candidates were preferable for technical jobs. Résumés that contain references that the candidate was a woman where excluded.  Even though, the résumés did not contain this data, the AI system would discriminate based on entries such as “women’s chess club captain” and it downgraded grades of two all-women’s colleges. 

Amazon has adjusted the algorithm accordingly but could not guarantee that the system would no longer discriminate in any other way without supervision. This makes us think about the degree of automation via AI that we want in learning platforms. In addition, we must not lose sight of the aspect of privacy in Europe. The debate here will certainly get going if we want to use strong AI.

Conclusion

To come back to my initial question, will AI drive and resolve the skills gap? I am convinced that, when we select EdTech, we should consider technologies that already have some form of AI based on validated data to improve personal learning paths and engagement.  This data will not only come from the LXP itself, but also considers various external sources such as search behaviour online, performance tracking, forums etc. 

In summary, working, living and learning will be heavily intertwined thanks to AI. It will monitor the necessary skills gaps at the Moment of Need[6] and make proposals with regard to remedial micro-learning just-in-time. This will contribute to the agility of the company that is able to respond more quickly to changes in the business and the necessary training of the employees.


 

[1] https://www2.deloitte.com/be/en/pages/public-sector/articles/upskilling-the-workforce-in-european-union-for-the-future-of-work.html

[2] https://www.weforum.org/reports/the-future-of-jobs-report-2020

[3] https://www.mobietrain.com/e-books/

[4] https://cbook360.com/factsheet-ai-and-elearning/

[5] https://www.pelckmansuitgevers.be/mens-versus-machine.html Soon available in English/ Human versus Machine

[6] https://habitofimprovement.wordpress.com/2014/08/07/building-corporate-culture-with-social-learning-in-5-moments-of-need/. https://www.5momentsofneed.com

[7] https://habitofimprovement.wordpress.com/2020/11/15/learning-strategies-for-continuous-improvement/

Published by Katja Schipperheijn

The future will not be built by technology alone, but by the mindsets we cultivate today. 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐥𝐢𝐦𝐢𝐧𝐚𝐥 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐝𝐞𝐟𝐢𝐧𝐞 𝐡𝐨𝐰 𝐡𝐮𝐦𝐚𝐧-𝐜𝐞𝐧𝐭𝐫𝐞𝐝 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐮𝐧𝐟𝐨𝐥𝐝𝐬 𝐖𝐡𝐲 𝐰𝐨𝐫𝐤 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫 ➡ 𝐄𝐧𝐠𝐚𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐢𝐧𝐬𝐩𝐢𝐫𝐢𝐧𝐠 𝐤𝐞𝐲𝐧𝐨𝐭𝐞 𝐬𝐩𝐞𝐞𝐜𝐡𝐞𝐬 𝐛𝐚𝐬𝐞𝐝 𝐨𝐧 𝐚𝐰𝐚𝐫𝐝-𝐰𝐢𝐧𝐧𝐢𝐧𝐠 𝐛𝐨𝐨𝐤𝐬, Learning Ecosystems (2022) and The Learning Mindset (2024). "Those keynotes create lasting impact and are always tailored to the audience and the event’s objectives. With her energetic speaking style and natural talent for connecting with people, she is the perfect choice for events focused on innovation, mindset, or leadership". ➡ 𝐓𝐡𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐌𝐢𝐧𝐝𝐬𝐞𝐭 𝐀𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐫: The foundation of my work, grounded in data-driven insights that uncover the behavioural drivers of learning and adaptability. Enabling individuals, teams, and organisations with our Reflect, Relate and Reframe Model towards purposeful growth and innovation ➡ 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐂𝐨𝐚𝐜𝐡𝐢𝐧𝐠: Turning insight into action. Supporting leaders in navigating transition, strengthening self-leadership and driving behavioural change across their teams. ➡ 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐯𝐞 𝐀𝐝𝐯𝐢𝐬𝐨𝐫𝐲: Partnering with executive teams to grow through people and innovation. Embedding a learning mindset across strategy, culture and organisational development, often in close connection with leadership coaching ➡ 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩𝐬: Tailor-made sessions focused on leadership, innovation, technology and continuous improvement. Designed to transform complexity into clarity and action ➡ 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐢𝐧𝐠: Human-first integration of AI agents and cognitive learning ecosystems to strengthen learning culture and future readiness 𝐀𝐛𝐨𝐯𝐞 𝐚𝐥𝐥 ➡ 𝐏𝐡𝐢𝐥𝐚𝐧𝐭𝐡𝐫𝐨𝐩𝐢𝐜 𝐰𝐨𝐫𝐤 𝐚𝐧𝐝 𝐬𝐨𝐜𝐢𝐚𝐥 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Shaping the future with children, not just for them. Their digital development and perspectives inspire and inform all my work. "Booking Katja means insight aligned with the next generation." 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 ➡ https://katjaschipperheijn.com ➡ https://thelearningmindset.org ➡ Katja@habitofimprovement.com --- 𝐀𝐰𝐚𝐫𝐝𝐬 ➡ The Learning Mindset Winner getAbstact Global Book Award for Learning Impact (2025) ➡ Highly Commended Speaker Award Thought Leadership (2025) ➡ Finalist Speaker Award Best Live Speaker (2025) ➡ Learning Ecosystems Finalist Best International Business Books (London 2023)

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