An estimated 91.5% of job roles are expected to undergo high or moderate transformation due to advancements in AI !
Top 10 technical skills expected to increase and become less relevant - AI-Enabled ICT Workforce Consortium - August 2024

An estimated 91.5% of job roles are expected to undergo high or moderate transformation due to advancements in AI !

?? Artificial Intelligence will influence every job family, every role, and all types of workers.

?? Over the past eight years, there has been a 323% increase in demand for AI technical talent

?? The introduction of ChatGPT and other Gen AI tools led to rapid AI adoption in information and communications technology (ICT) industry, since then this demand for new AI skills has increased by 65% over five years according to analysis from Indeed

?? AI has the potential to empower a broader range of workers to handle more complex tasks sooner.

?? Workers in entry and mid-level job roles have the most opportunities to upskill, according to a new interesting research published by AI-Enabled ICT Workforce Consortium–led by 思科 with industry leaders 埃森哲 , Eightfold , 谷歌 , IBM , Indeed , 英特尔 , 微软 and SAP , along with key advisors using data ?? from the analysis of 47 Information and Communication Technology (ICT) jobs Collectively, representing 6 countries account for a significant segment of the ICT sector, with a combined total of 10 million ICT workers


?All jobs are expected to experience a transformation


91.5% of jobs are expected to see a transformation

Researchers indicates that more than 91.5% of ICT job roles analyzed may undergo significant or moderate changes due to AI advancements, underscoring its extensive influence.

Moreover, the integration of AI with other technological areas such as IoT and cloud computing enhances capabilities within interconnected environments.


?The methodology of researchers


Job categorization framework for clustering the 47 selected ICT job roles which are similar in nature or purpose

Researchers have organized information into seven job family clusters, known as 'job family groups,' and have developed the 'Job Transformation Canvas.' This framework is a groundbreaking initiative in job role analysis, crafted with contributions from Consortium members and subject matter experts (SMEs).


Framework demonstrating the transformation of opportunities into tangible benefits due to AI adoption across ICT jobs




?The impact of AI on career levels and job seniority is significant


Level of AI transformation across career levels

Researchers observed that entry level and mid-level ICT workers are at the forefront of this transformation as 37% of entry level job roles and 40% of mid-level job roles analyzed, are expected to have high levels of transformation due to AI advancement.


Also Senior-level workers must embrace AI's transformative potential. Leading change effectively requires seizing AI opportunities to redefine organizational strategies and operational efficiencies.

Workers across all career stages can tap into AI's potential through specialized training, continuous learning, and collaborations with AI experts


?Top 10 AI skills expected to increase and to become less relevant


Top 10 technical skills expected to increase and less relevant

Researchers also listed the top ten skill sets expected to undergo significant transformation and gain prominence and become increasingly relevant across various job roles, along with the percentage of job roles requiring these skills.

?? Top technical skills expected to increase in relevance (% job roles):

1?? AI ethics and responsible AI

2?? AI literacy

3?? Prompt engineering

?? Top 10 technical skills expected to become less relevant (% job roles)

1?? Basic programming and languages

2?? Content creation

3?? Data management

Interestingly, 100% of the job roles emphasize the growing importance of AI ethics and responsible AI practices.



Framework demonstrating the transformation of opportunities into tangible benefits due to AI adoption across ICT jobs

Finally the AI-Enabled ICT Workforce Consortium calls for organizations

?? to proactively lean into the transition to support workers who are at the risk of being left behind due to automation and AI.

?? put in place essential training programs, specifically designed for both foundational and job-specific AI technologies, are crucial to equip the workforce with the necessary skills for future roles.

Researchers identified target job specific skills and some training programs for each ICT role which are essential for workers to stay updated on AI advancements

?? The ongoing AI revolution underscores a critical need: workforce upskilling


?? ???? ???????????????? ????????:

The results of this exceptional study conducted by a consortium of nine top global corporations are quite intriguing. It is acknowledged that some of these corporations are consulting firms with a vested interest in AI, heavily investing in this sector. The research indicates that AI will affect almost every job category, leading to the obsolescence of certain roles. However, those who undergo adequate training and transformation may thrive. Contrasting with other research I shared earlier, which suggests that these transformations are not yet impactful, there is a prediction of a massive wave of changes in the future workforce. Time will tell!


Thank you ?? The Consortium of nine leading global corporations in collaboration with global advisors researchers team for these insightful findings:

Gina Raimondo Francine Katsoudas Ryan Oakes Julie Sweet Chuck Robbins

Dave Ulrich


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Nat Sones

Chief Strategy Officer, Agent3

4 天前

Great insight and a great report. For me this is about mass / societal upskilling rather than just the removal of work. Economies need people to work, therefore how can people be empowered to do so amid continuous, emergent, and fundamental 'instrumentality' change? I see this as less a threat indicator and as the article argues, more a horizon-finder and tool-shifting discussion - as the #AIskills model has it, how to Shift Left - but also stay Right. How can you move or blend your role and the way you work to combine 'traditional work' with 'AI and data empowered working'. E.g.: how can I merge my traditional workflow as a researcher with ML and Analytics? Of course, it's not just how you shift now. It's how you empower yourself to see 'continual horizon scanning' and change signal finding as part of your way of life. Thanks!

Sara Junio

Leading Transformations and Positioning Organizations for Future Success | Transformation Executive and Strategic Leadership Coach | Best Selling Author

3 个月

Thank you for sharing the research, Nicolas. While the headline is a bit misleading (Researchers indicates that more than 91.5% of ICT job roles, not all roles), it is directionally correct…advancements in AI are changing almost everything in some fashion.

回复
Namita Gopinathan,MBA

Human Resource Professional | MBA | Coporate Recruiting Professional- ASA | Ex-Wirtgen Group,A John Deere Company

3 个月

Thought provoking research! The success of AI integration isn’t just about having the right skills; it’s also about fostering a mindset that welcomes change and encourages innovation across all levels of the organization. Moreover, as AI becomes more embedded in everyday operations, there’s a growing need for interdisciplinary collaboration, particularly between AI experts and domain specialists, to ensure that AI-driven solutions are both effective and ethically sound. Thank you so much for sharing this wonderful research.

Arun Paul, PMP?

Product Development ?? | Project Management??| Operations Management ?| Continuous Improvement?? | Truck radial tire??

3 个月

Thank you for sharing this fascinating research on the impact of AI on the workforce.Nicolas BEHBAHANI The staggering statistic that 91.5% of job roles are expected to undergo high or moderate transformation due to AI advancements, highlights the pervasive nature of AI's influence across industries and job functions. I particularly found interesting the contrasting trends in skill demands. The increasing relevance of AI ethics, AI literacy, and prompt engineering, juxtaposed with the decreasing relevance of basic programming and content creation, paints a clear picture of the shifting landscape of valuable skills. To add to your analysis, I'd suggest that this research underscores the importance of lifelong learning and adaptability in the modern workforce. The rapid pace of technological change means that continuous upskilling and reskilling will likely become a norm rather than an exception. Your personal view about the potential bias in the study due to the vested interests of the participating corporations is an important point to consider. It's always crucial to approach such studies with a critical eye and consider multiple perspectives.

George Kemish LLM MCMI MIC MIoL

Lead consultant in HR Strategy & Value Management. Enhancing Value through Human Performance. Delivery of Equality, Diversity & Inclusion Training. Lecturer and International Speaker on HRM and Value Management.

3 个月

Again I love seeing the latest research on AI in the workplace. However, on this occasion I would disagree that data management would become less relevant (at least in the near future). AI is likely to increase the amount of data (information) made available to decision makers and it will be necessary for that data to be managed in order to do two things: (1) Ensuring that the data available adds value to all stakeholders and to sift irrelevant data, and (2) Ensure that the correct data is being transferred to the correct users within the organisation. With regard to jobs, I watched a television program a few weeks ago where it showed a computerised 'dog' being used to measure radiation in a nuclear pant that was being demolished. The fact that the 'dog' was taking the place of a human to undertake such hazardous work is great but the 'dog' still required a 'handler'. In this case the use of AI has not removed the need for the human but has changed the task of the human. We are in interesting times and, as Dave Ulrich has pointed out, the AI technology evolution continues to evolve and we are yet to see how that evolution will change the workplace in the longer term. Great research Nicolas - thank you for sharing.

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