REPORT REVEALS THAT COUNTRIES WITH HIGH PROPORTION OF “NETWORK-DEPENDENT” WORKERS WILL BENEFIT MOST FROM AI
Study by EY for
The report – called ‘Wired for AI’ – analyses the transformative impact of the new technology and finds that half of all jobs in the US and
It reveals that the telecoms industry will play a critical role in helping seven in every 10 jobs to be augmented by AI. This indicates that these jobs – dubbed “highly network-dependent” – will be key to unlocking the transformative impact of AI on working practices globally and highlights the telecoms industry industry’s central role in harnessing its social and economic benefits.
Goldman Sachs estimates that AI could lead to a
“While much recent research around AI has focused on the disruptive impact on jobs, this study paints a brighter picture of the opportunities for progressive companies across multiple industries to boost productivity whilst also improving the lives of their employees. As we increasingly harness AI, we must also not lose sight of the broader responsibility of the telecoms industry to ensure the secure, fair, and transparent use of this potentially era-defining technology.”
Dr
It’s clear that the wider benefits of AI will depend on telecoms offering the necessary connectivity, adaptability, and reliability which will allow all industries to tap into the full potential of AI. As new regulations for AI begin to emerge, this transformative role will also require the industry to lead on the responsible and ethical use of AI by ensuring the standards are set for a balanced, human-centred digital evolution.”
AI’s Impact on Global Telecoms Industry
The study reveals that the total time saved if AI was used across the telecoms industry - referred to as ‘additional productive capacity’ - could equate to
The report differentiates between productivity and efficiency, recognising that while AI may not directly increase output or reduce costs - the traditional measures of productivity – it could enhance efficiency by enabling faster completion of tasks and improved customer satisfaction. However, the report notes that even though time-savings may be possible in most roles, some may struggle more than others to adopt AI. This “adoption potential” means that barriers such as poor digital skills in the workforce, or a lack of business buy-in, can reduce the beneficial impact of the technology.
Telecoms unlocking AI; AI elevating Telecoms
As well as looking at the critical role the telecoms industry will play in making such efficiency and productivity gains a reality, the report also sets out how AI can boost the efficiency of employees working within the industry itself.
It finds that AI has the potential to transform the telecoms industry by enhancing network operations, bolstering security, elevating customer service and streamlining back-office processes. AI algorithms, for example, can be used to analyse network traffic patterns, helping to predict congestion and other issues, so that network managers and operations teams can reduce network downtime.
Building on established approaches for assessing the impact of AI, EY’s analysis also indexes which occupations within the telecoms industry could most benefit from AI, revealing that the biggest gains are seen in day-to-day tasks in management and administrative roles, HR and finance. Engineering and technology roles are also major beneficiaries, with AI helping in day-to-day network operations as well as in R&D efforts and bug-fixing. Other significant gains can also be achieved in sales and customer-service roles, such as call-centre operatives and sales managers. In total, the research suggests that 71% of jobs in the telecom industry could benefit from being augmented by AI.
Link to the Full Report: https://www.libertyglobal.com/wp-content/uploads/2024/02/Wired-for-AI-EY-and-Liberty-Global-report.pdf
Notes to editors
The top-10 contributors to the additional productive capacity in the US, EU,
Country |
Total Additional Productive
|
Total value of Additional Productive
|
US |
51,000 |
|
|
13,000 |
|
|
9,800 |
|
|
8,500 |
|
|
6,800 |
|
|
6,000 |
|
|
4,900 |
|
|
3,000 |
|
|
2,100 |
|
|
1,700 |
|
Top-10 countries by total additional productive capacity |
||
Source: EY and |
High-level telecom occupations that could benefit most from AI, in terms of their potential efficiency gain
Rank |
Occupation |
Potential efficiency gain |
1 |
Administrative and Commercial Managers |
45.3% |
2 |
Business and Administration Professionals |
45.2% |
3 |
Information and Communications Technicians |
41.9% |
4 |
Science and Engineering Professionals |
40.7% |
5 |
Production and Specialized Services Managers |
40.6% |
6 |
General and Keyboard Clerks |
40.2% |
7 |
Business and Administration Associate Professionals |
40.0% |
8 |
Legal, Social and Cultural Professionals |
39.7% |
9 |
Chief Executives, Senior Officials and Legislators |
37.9% |
10 |
Information and Communications Technology Professionals |
36.0% |
Table 2. Top 10 high-level telecom occupations by potential efficiency gain (using the ISCO 08 2-digit occupational classification) |
||
Source: EY and |
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1 Generative AI Could Raise Global GDP by 7% (goldmansachs.com), |
2
How to harness the power of generative AI for better jobs | |
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