Study Finds High-Skilled Professional Jobs Most Impacted By AI

Study Finds High-Skilled Professional Jobs Most Impacted By AI

November 14, 2023

A global team of 20 social scientists studying artificial intelligence (AI) activities across key digital hubs around the world over a four-year period spanning 2019 to 2023 revealed findings that high-skilled professional jobs in major digital hubs, including Singapore, may be the most impacted by AI.

These findings were unveiled during the Digital Futures of Work Global Conference 2023, held from 1 to 3 November 2023 and organized by the Institute for Adult Learning (IAL). Over 250 participants were expected to gather throughout the three-day conference to discuss findings from the Digital Futures of Work Research ProgrammeThis extensive study, comprising more than 500 in-depth interviews and quantitative analyses, explored AI adoption patterns in more than ten global hubs, including Silicon Valley, Singapore, and London.

Contrary to the expectation that AI would affect low and middle-skilled roles the most, the global findings suggest that AI-driven corporate innovation is focused on high-skilled professional work. Tasks like decision-making as well as domain skills like consulting and marketing, are being put through the process of “cognitive capture” enabled by digital platforms. This direction of corporate innovation makes high-skilled jobs the most at risk, potentially posing challenges to economies in adding jobs that boost social mobility. Therefore, societal leaders have an urgent role in jointly shaping the use of AI technologies towards shared prosperity.

“We’ve studied AI trends in top global companies to understand its direction,” said Professor Phillip Brown, Distinguished Research Professor, Cardiff University and Director, Digital Futures of Work Research Programme.  “Contrary to beliefs that AI creates better jobs, our data suggests it often fragments professional roles for cost-efficiency, impacting middle-class aspirations. Our evidence suggests the consequences are already being felt, even if they do not appear decisive in the statistics. Societal leaders must ensure that the right questions about AI and the future of work are being asked and adapt accordingly.”

Not all AI innovation activities lead to the fragmentation of knowledge work. Digital hubs such as Helsinki and Berlin, as well as a smaller proportion of firms in other digital hubs, focus on AI technologies as assistive technologies to preserve professional work and enhance lower and middle-skilled jobs. Firms engaged in such activities argue that such strategies are frontier-expanding strategies that unlock new value-creation. In contrast, cognitive capture strategies are driven by efficiency-focused, cost-cutting approaches that would not yield sustainable value-creation. Technologists likewise shared with the research team the enormous potential for AI to augment human capabilities. These perspectives open up opportunities for societal leaders to shape the use of AI technologies to enhance productivity and shared prosperity.

Key Findings in Singapore                                           

In Singapore, in-depth interviews with more than 80 business and technology leaders from 60 leading firms demonstrate similar results of an ongoing process of cognitive capture. Corporate innovation is applied to professional jobs requiring high levels of education and training, professional experience, and judgement. These include credit decision-making, field engineering services, curriculum design and consultancy services. These tasks are being put through automation, standardization and redistribution processes, the latter referring to how complex tasks are being parceled across economies through high-skills platforms and/or remote working. Cognitive capture risks reducing the overall demand for professional labor, deskilling professional work to perform less complex tasks or making them more precarious through redistribution.

Additionally, a quantitative analysis of the impact of technological change on jobs in Singapore was also conducted using data from the Singapore Skills and Learning Survey. Conducted between 2021 and 2022, the survey included questions asking respondents to indicate the digital tasks they performed at work and the effect of technological change on their work, including but not limited to AI technologies.

Data from 4,218 resident job holders were analyzed, and the results indicate that while technological changes primarily benefit managerial roles, they pose risks to professional roles and have a minimal impact on the job quality of other workers. While all categories of workers are equally at risk of job losses due to tech advancements, the number of professional jobs is less likely to grow. Moreover, professional roles also face reduced task discretion compared to managerial roles. Meanwhile, other workers doing less complex work are also less likely to experience an increase in task complexity and task discretion compared to managers.

Of concern is that professional roles are more likely than other types of work to be able to be done remotely and require a global team working. This reduces the location stickiness of such jobs, which is associated with a heightened risk of digital offshoring.

Human-centric use of digital technologies can similarly be found in Singapore, albeit in small numbers. Firms employing such strategies include transnational corporations, SMEs, and start-ups in a range of industries, including engineering, agritech, medtech, fintech, cleantech and F&B. Job roles that are found to be enhanced include professional work as well as less-skilled work such as customer service, and technicians.

Sahara Sadik, Assistant Director (Research) at the Institute for Adult Learning and Deputy Director of the Digital Futures of Work Research Programme said, “Interviews with leading Singapore companies give us advanced insights into their business priorities when it comes to AI innovation. The use of AI technologies to make professional work more cost-efficient is evident. When coupled with existing data that technological change has been weakening professional jobs and not enhancing other types of work, it underlines the pressing need that we manage the AI transition more deliberately towards shared prosperity. Strategies may include nudging businesses to employ productive, human-centric business transformation strategies, building up know-how on how AI can be used more purposefully in job enlargement, and boosting the AI capabilities of the workforce in sectors and occupations with uneven AI adoption.”

Chia Ying, Senior Researcher at IALwho led the quantitative investigation, said, “Alongside the threat on professional roles by automation, standardization and redistribution, lower-skilled workers are not being freed up from routine tasks to do more interesting and complex work unlike commonly assumed. This has implications on the learning they will be motivated to seek. The use of AI technologies to enhance jobs, skills, and learning needs to be pursued more decisively.”

Strengthening middle-class jobs

Pursuing human-centric strategies is crucial to reduce the risks to professional work, given the interest of national governments and key international players such as the Organization for Economic Co-operation and Development (OECD) and the International Labor Organization (ILO) to strengthen the middle class.

In the United States, United Kingdom and Singapore, professionals and degree holders now form the fastest growing category of workers earning middle wages, defined as those earning 75-150% of median income. Corporate innovation strategies of automation, standardization and redistribution of knowledge work aimed at reducing labor costs will further weaken the capacity of economies to add professional jobs to power social mobility. Human-centric strategies have the opportunity not only to strengthen professional work but also to enhance other types of occupations. These include jobs that are currently seen as less-skilled, such as clerical, sales, and service staff.

Ed.  Article photo by Unsplash+ in collaboration with Getty Images.


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