The Road to 2030: AI Automation Strategy and the Future of Work
ROUNDTABLE
How will AI and automation reshape jobs, skills, and operating models over the next decade, and how can organizations move from annual planning cycles to an always- on strategic workforce planning approach that keeps pace with continuous change?
Organizations are operating in a state of constant disruption, with transformation timelines accelerating faster than most workforce planning models can support. AI and automation are reshaping workforce strategy, job design, and skills requirements at a pace that traditional, annual planning cycles were never designed to handle. As leaders face increasing pressure from boards and executives, the core challenge is becoming harder to ignore. How can organizations anticipate how jobs and roles will change over the next three to five years when the assumptions behind today’s workforce plans are already outdated?
To respond, organizations are beginning to rethink workforce planning as a continuous capability rather than a periodic exercise. This means building clearer visibility into where automation has the greatest potential impact, redesigning roles for effective human and AI collaboration, and using scenario modeling to anticipate skills gaps by role, job family, and location. By shifting toward data-driven, always-on planning approaches, leaders can better mitigate workforce risk while still enabling growth, agility, and innovation in the face of accelerating change.
Join peers and thought leaders from Talent Neuron for a working discussion on how AI and automation are redefining the future of work and what it takes to build readiness at scale. Together, we’ll explore how organizations can turn automation insights, role redesign, and skills intelligence into a durable advantage in an
increasingly unpredictable operating environment.
Event host
David Wilkins
About TalentNeuron
TalentNeuron is the only solution that drives workforce transformation by unifying internal talent intelligence and external market insight. Over 60% of the Fortune100 are using TalentNeuron to move beyond fragmented talent planning and toward a model where strategic workforce decisions are made through comprehensive analytics, including demand forecasting, automation impact analysis, scenario modeling, and talent optimization. Powered by advanced AI and machine learning, TalentNeuron delivers real-time workforce intelligence across markets representing over 91% of global GDP. With this intelligence, organizations use TalentNeuron to understand labor market and competitor trends, identify current and future skill requirements and gaps, and shape a future-ready workforce.
Discussion topics
Assessing automation potential across roles, job families, and locations to understand how workforce composition and demand will evolve.
Redesigning jobs and operating models to support effective, scalable human– AI collaboration.
Moving from annual strategic workforce planning cycles to continuous scenario modeling and demand forecasting.
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