Organizational Transformation in the Age of AI How Organizations Maximize AI%27s Potential 2026
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Shifts in how talent operates:
–Workforce planning moves from roles to
capabilities and skills as the primary units
of work.
–AI translates business needs into dynamic
capability requirements and identifies near-ready
internal talent.
–AI forecasts emerging capability gaps and
estimates internal build-versus-buy scenarios,
while digital systems support the coordination
of internal transitions.
–Transitions are supported through repeatable
pathways combining learning with real work.
Organizational changes observed:
–The workforce is managed as a capability system
that can be reconfigured as strategy shifts. –Leaders treat capabilities as strategic assets,
not HR metadata. Capability taxonomies and
skills profiles are continuously updated using
strategic and operational signals.
–HR, learning and development, and line
managers shift from primarily sourcing external
talent towards orchestrating internal mobility,
capability development and redeployment.
–Internal mobility and transition pathways are
embedded into workflow systems rather than
standalone training programmes.
Early vs advanced adopters:
–Early: Define capability sets for priority roles
and pilot internal mobility for targeted teams.
–Advanced: Operate the workforce as a
dynamic capability system; reconfigurable
as strategy shifts.5.1 From fixed job titles to capabilities
that can be built and redeployed
CASE STUDY 21
AI-enabled centralized recruitment platform frees up administrative time
Yum China deploys neuro-linguistic programming (NLP) and
AI algorithms to match millions of applicants to positions,
chatbots to schedule interviews and LLMs to analyse
interviews and make recommendations. The platform fulfils about 89% of restaurant hiring needs across over 16,000
stores, with average fulfilment as fast as 1–2 weeks. Yum’s
restaurant managers’ turnover rate dropped from 9.7%
in 2024 to 7.8% in 2025.
CASE STUDY 22
AI-powered internal marketplace
Unilever uses an AI-powered internal marketplace to match
employees to short-term projects and assignments across
the company, based on skills and development goals.
Managers post a need, AI suggests near-ready people, and employees build capability by doing real work instead
of formal role changes. Unilever has reported 70% cross-
functional assignments, approximately 500,000 hours of
capacity unlocked and 41% improvement in productivity.46
Organizational Transformation in the Age of AI: How Organizations Maximize AI’s Potential
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