Generative AI expected to accelerate entry-level career progress across industries

• Employees believe generative AI will facilitate a third (32%) of entry level tasks over the next 12 months.
• 6 in 10 managers and most employees (71%) expect entry-level roles across functions to evolve from creation to reviewing generative AI outputs, over the next 3 years.
• Over three-quarters (78%) of leaders and managers predict generative AI will augment their problem-solving and decision-making in the next three years, and over half think manager-level positions will evolve towards specialisation.

Whilst the impact of Gen AI on careers has been hotly debated, this new research finds the majority of business leaders believe that entry level roles could become more autonomous and evolve into frontline managerial roles within the next three years. With this in mind, the proportion of managers in teams across functions could expand from 44% to 53% in the next three years; only 18% of leaders and managers believe that Gen AI will reduce middle management.

Employees think that, over the next 12 months, generative AI tools could lead to an average time saving of 18% for entry-level workers, implying there could be significant productivity improvements for junior employees. However, the cost of the Gen AI tool must also be taken into account, cites the report. Furthermore, 81% of leaders and managers expect new roles such as data curators, AI ethics specialists and algorithm trainers to emerge at the entry level.

“Generative AI tools are becoming more adept at assisting with complex managerial tasks, which could challenge the status quo of organisational structure and ways of working,” said Roshan Gya, CEO of Capgemini Invent and member of the Group Executive Committee. “Generative AI has the potential to shift from a co-pilot to a co-thinker, capable of strategic collaboration, adding new perspectives and challenging assumptions. This shift could unlock significant value when tailored to specific business use cases but is dependent on several factors, including organisations prioritising building the skills and readiness of employees, taking proactive steps around talent acquisition and development.”

Potential to redefine management but still a significant gap on actual usage

The report finds that Gen AI is transitioning the view of future leadership and managerial roles toward becoming more strategic, focusing on decision making and fostering innovation. In fact, many managers and leaders currently believe that Gen AI tools could act as co-thinkers for them. 65% of the leaders and managers surveyed see high potential in Gen AI for complex strategic tasks, and more than half of leaders believe managers will play a critical role as catalysts of Gen AI-driven change. The technology could also save leaders and managers up to seven hours each week, with nearly 8 in 10 leaders believing that Gen AI will positively impact their productivity in the next 12 months.

Gen AI has the potential to amplify the strategic scope of leaderships roles. Currently, managers spend more than one-third of their time on administrative tasks. However, AI’s ability to automate much of this work provides opportunities to focus on strategic planning and problem-solving tasks. In the next three years, over three-quarters (78%) of leaders and managers expect Gen AI to augment their problem-solving and decision-making, and over half believe manager-level positions will evolve towards specialisation. 57% of leaders at organisations advanced in their Gen AI implementation already see their roles becoming more strategic.

While adoption of Gen AI in management has good potential, there is a significant gap between potential and actual usage. Although 97% of leaders and managers say that they have experimented with Gen AI tools, only 15% use Gen AI tools at least once a day in their work.

Organisational structures need to transform to enable cohesive human-AI collaboration

For nearly half (46%) of teams, AI is used simply as a tool to enhance existing capabilities and workflows. However, human-machine partnerships are starting to be embraced. One in three teams are currently using AI as a ‘team member’, for example by enhancing human performance or using AI agents to complete predefined tasks without human intervention. According to the research, today AI is used as a supervisor in only 1% of teams i.e., it is directing, allocating, or prioritising work for humans. Yet, in the next 12 months, 13% of teams expect to use AI in this role. In an AI-led environment, human judgment is increasingly important, and the majority of leaders, managers and employees in the research acknowledge this.

Training and managerial guidance required to secure the future of Gen AI at work

Despite the potential of Gen AI to boost productivity across job functions, adoption remains nascent. While almost two-thirds (64%) of workers already use Gen AI tools for their work, only 20% of employees use Gen AI tools daily.

Employees also lack proficiency in key skills, with only 16% believing they are getting the support they need to develop Gen AI skills. Only 13% of employees say they are well-versed in machine conversational skills; only a third say they can manage Gen AI systemic risks; and less than half claim to have prompt engineering skills. The report suggests that team members should be equipped with the right AI skills, defining rules and responsibilities for cohesive human and Gen AI collaboration, ensuring accountability when Gen AI systems make mistakes, and adapting workflows and processes for the new era of Gen AI.

Report Methodology

Capgemini Research Institute conducted a global quantitative executive survey in May 2024 across 15 different countries and 11 key industries, surveying 1,500 respondents from 500 organisations, with annual revenue of more than $1 billion. Each unique organisation is represented by three executives, one each at leadership level, middle-management level, and front-line management level (the three respondents can be from different functions or locations). The report is also based on an entry-level employee survey to take their perspective on Gen AI adoption by their managers and leaders. The survey targeted 1,000 entry-level employees from the same 500 organisations as in the executive survey. Hence, overall, each organisation, irrespective of location or function, is represented by five respondents – three executive-level (leaders and managers) and two entry-level employees. In addition to these executive and entry-level employee surveys, the report also draws on 15 in-depth interviews with independent experts from various industries across the globe to validate and substantiate findings. Please note, the study findings reflect the views of the respondents and are aimed at providing directional guidance.