Global – October 17, 2026 -- Talent management is not disappearing under AI pressure. According to a new commentary, it is shifting from administering separate HR processes to managing the capabilities a business needs, with human and AI capabilities now handled side by side.
Separate talent processes are giving way to capability management
The author argues that talent management was long built around independent processes: performance management, succession, learning and workforce planning. Technology mirrored that structure, and organizations bought systems and modules to automate each activity.
The business, however, does not experience talent that way. A capability gap may call for training, but it may equally call for a hire, an internal move, a redesigned job or longer-term development. The commentary adds a fifth option: some of the work may be better performed or augmented by AI.
AI adds workforce intelligence but not the decisions that follow
AI now lets organizations combine data on skills, learning, performance, experience, career interests and the work itself, and find relationships that would be difficult to detect manually. The author maintains that this intelligence still requires human decisions: how to close an identified skills gap, how to develop a person with potential, who creates the opportunity for someone with adjacent skills, and what a changing job means for the person doing it today.
Workforce planning must now account for work, not only headcount
The piece says organizations will need to manage human and AI capabilities simultaneously. Workforce planning can no longer stop at how many people are needed and which skills they should have. It must ask what work needs to get done, what people should do, what AI can do, and where AI should augment people rather than replace an activity.
Traditional boundaries are unlikely to survive that shift, according to the author. Learning cannot operate independently of skills, skills cannot be disconnected from workforce planning, and performance cannot be separated from development. Career mobility also depends on understanding people's capabilities.
Legacy technology and annual processes face retirement
The author expects some technologies associated with traditional talent management to change or disappear, along with cumbersome annual processes that "produced more administration than insight." The commentary attributes continued demand to faster-changing work, shorter skill shelf lives, less predictable career paths and a larger AI role in getting work done.