The world of work is undergoing rapid change as it is driven by an increase in agent AI capable of independent behavior and complex problem solving.
Coupled with changing demographics and wider adoption of technology, this next stage of work leads to a reassessment of the skills and roles required. As we move away from the human-only workforce, businesses need proactive strategies to effectively navigate these changes and set their employees up for success. This shift means rethinking how work is done and what skills are evaluated.
The numbers are eye-opening. Agent AI recruitment is expected to surge 327% by 2027, jumping from 15% to 64% today in just two years, according to the latest Salesforce survey of 200 global talent executives. This is not about large-scale layoffs. It is relocating a significant portion of the workforce into new roles.
This shift means rethinking how work is done and what skills are evaluated. The focus is on moving from running tasks to working with AI agents and then overseeing. HR leaders have the task of redesigning their workflows, creating new training programs, and setting up a framework for human collaboration. All employees must develop a combination of human judgment and creativity, AI and business skills to succeed in this digital labor revolution.
The need for a skill-based talent approach
Integration of Agent AI not only creates new job categories, but also transforms existing roles. Witness the emergence of positions focused on AI systems design and management, enabling agents, allowing teams to focus on strategic thinking, innovation and customer engagement, including AI workflow designers, process architects, rapid engineers, model architects and more. Beyond these technical expertise, new roles are needed to ensure the ethical, fair and compliant use of AI at scale.
Chief Human Resources Officer (CHROS) hopes to move employees to technical roles such as data scientists and technical architects in the near future. The most important skill for the agent economy? AI literacy.
According to a Salesforce survey, HR leaders plan to redeploy nearly a quarter of their employees (23%) into new positions that will better utilize their own human skills. 88% of CHROs consider this to be more cost-effective than hiring outside, and if Agent AI is fully integrated, employee productivity increases by 30%.
Soft skills such as collaboration, adaptability, and relationship building will also become increasingly important. As AI supports everyday tasks, human work is increasingly focused on areas where people can add value the most. Supervising an AI agent requires strong leadership skills, rapid learning, positivity, and a data-driven mindset. This is a skill that usually requires a new program rather than part of traditional training.
To thrive in this new landscape, businesses need to focus on skills rather than on job titles. Technology, particularly AI and data analytics, can play a key role by analyzing internal and external data to identify skill gaps and revealing hidden talent. For example, large language models can check resumes and detect patterns that suggest new career paths that employees have not considered. This skill-based approach increases the effectiveness of talent relocation and improves both efficiency and quality.
The question is not whether the job changes, but how it changes.
Despite the distinct benefits, most organizations are still in the early stages of adopting agent AI. Only 15% of companies that fully implement it, and 73% of employees remain unaware of how digital labor affects daily tasks.
This perception gap highlights the urgent need for clear communication and effective change management. Leaders need to be transparent, acknowledge future changes and provide support to employees through the transition.
The digital labor economy is here, and the most valuable skills are evolving. Human skills are becoming more important along with technical AI knowledge. Business leaders are under pressure to navigate this complex landscape.
Organizations that actively plan reposition, invest in reskills, and build frameworks for collaboration with trustworthy humans are best positioned to not only adapt, but also lead this new era of work where human ingenuity and digital intelligence collaborate.
This transformation unlocks new levels of productivity and provides strategic opportunities to redefine the workforce for a hybrid future. By accepting these changes, businesses can ensure competitiveness and innovative retention over the next few years.
- Ursula Fear, Senior Talent Program Manager at Salesforce
