New Pearson research: The New AI talent strategy is redesigning roles

Together with the importance of global rekilling, Pearson’s new research shows that the age of AI demands that employers concentrate on creative strategies to close the talent gaps in their workforce

Dubai, Eau – May 19, 2025 – A new investigation by Pearson (FTSE: PSON.L), the world life learning company, shows that, as roles in the technology industry, the bee restructured by automation and AI, employers should consider a strategy and a montitit. To solve the redesign.

For this last perspective of skills, solving the technological talent gap from within, Pearson analyzed how the technological workforce could evolve and be renovated by emerging technology in the next five years. The study focused on five of the most common and high value technological roles in the United States. The investigation found that these highly valued workers will save about one day a week by 2029, only through the increase and automation of key tasks with technology.

The research indicates that business leaders should think creatively and proactively about the redesign of the rollers to use technology more effectively and help their employees use this time saved to increase. This strategy helps employers better use current workers instead of replacing them with the newly qualified, to essentially solve talent needs within their own workforce and provide labor agility and safety for these valuable employees.

When examining how automation and new technologies are likely to affect technological roles, Pearson was able to identify that LLM chatbots (such as Copilot or Chatgpt) and RPA for internal processes (software robotics) have the greatest potential to save time.

Oliver Latham, regional sales leader for EMEA in Pearson’s learning unit and business skills, said: “In a world where the generative AI is quickly transforming the world of work, technological leaders must reth The left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left, to the left.

By observing the impact in the hours dedicated to the tasks within the roles in a work week, Pearson discovered that between 5.8 hours and 8.8 hours they could save themselves in 5 years through the effective use of technology, approximately one day. This creates an opportunity to rethink how roles are structured and redefine what “central” tasks will remain with human employees.

Pearson’s technological impact modeling revealed the following results for the five works analyzed in the US.

Systems software developers

• Potential time saved for a week by 2029, with an effective use of technology: 8 hours
• The greatest potential impact: automation of robotic processes (RPA) for internal processes (software robotics)
• Most automatizable tasks: correct errors in existing software; Perform software system maintenance
• Evolution of roles: the role should evolve to emphasize more creative and strategic elements of development, such as architectural design, security improvements and collaboration with interfunctional equipment in objectives of high -level projects.

Computer programs

• Potential time saved for a week by 2029, with an effective use of technology: 7 hours
• The greatest potential impact: big language model chatbots (LLM)
• Most automable tasks: rewrite programs; Write, update and maintain computer programs and software packages; Compile program development documentation
• Evolution of roles: It can be redefined to focus more on the development of complex algorithms, the supervision of AI or the system architecture, while the coding of carization routine works.

Engineers / architects of the computer system

• Potential time saved for a week by 2029, with an effective use of technology: 6 hours
• The greatest potential impact: LLM Chatbots
• Most automable tasks: provide technical guidance for systems development and system problem solution; TIPS ON DESIGN CONCEPTS
• Evolution of roles: a change in the role from the practical resolution to the most strategic responsibilities, such as the supervision of system integration, long -term infrastructure planning and the guarantee of compliance with industry standards. The role could also evolve to focus on human-Ai collaboration.

Computer system analysts

• Potential time saved for a week by 2029, with an effective use of technology: 6 hours
• The greatest potential impact: LLM Chatbots
• Most automable tasks: provide assistance to customers or users to solve computer malfunction or program
• Evolution of roles: It can evolve to emphasize the strategic application of data knowledge, align technological solutions with broader commercial needs and facilitate the implementation of more complex large -scale system changes.

Computer Network Architects

• Potential time saved for a week by 2029, with an effective use of technology: 8 hours
• Greater potential impact: RPA for internal processes
• Most automable tasks: maintain project reporting systems; Performing addition/backup activities/removal of files in networks
• The evolution of the paper is the probability of moving towards higher level responsibilities, including network design innovation, cyber resistance planning and future -proof infrastructure to accommodate the rapid evolution of cloud technologies, AI and IoT.

Employers have a real opportunity to gather saved time for more strategic, innovative and high value work. The research identifies what these tasks are for each of these key roles and the best way to redirect and rebuild this additional ability to maintain its competitive advantage.

-Scans

About Pearson

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