Jobs · careers · skills

Prepare roles and careers for AI.

A focused path for people redesigning work, building useful skills and helping professionals adapt as AI changes their tasks.

Explore four perspectives Read practical answers

Pencil portrait of Kashyap Kompella — Kashyap on the Future of Work, Skills and Jobs

Work · Skills · Careers · Education

How to succeed in the age of AI.

HR · talent · learning

How to upskill talent for AI.

Build a shared foundation, then make learning role- and model-specific, continuous and connected to the organization’s AI roadmap.

AI literacy and governance for leaders
Role- and model-specific proficiency
Short, workflow-based continuous learning
Change routines and measure work outcomes

Read the workforce skills framework

All employees · technical teams · leaders · HR & L&D

The AI skills needed for each function.

A single curriculum cannot serve every role. Give everyone a common foundation, then deepen the skills required to use, build, govern or develop people around AI.

Everyone: data literacy, AI collaboration and responsible use
Technical teams: prototyping, RAG, evaluation and engineering
Leaders: business–AI translation, risk oversight and change
HR & L&D: skills mapping, learning paths and redeployment

Explore the role-specific skills

Professional · manager · career changer

Build toward the work AI is creating.

AI is transforming more jobs than it is eliminating, while new work grows across strategy, engineering, infrastructure, deployment, validation and governance.

Strategy and business translation
Engineering, infrastructure and data
Deployment, quality and human oversight
Governance, domain and emerging roles

See where AI is creating work

University · faculty · professional association

Teach the AI skills now in demand.

Curricula should connect secure AI foundations and development with operational assurance, governance and the business skills needed to redesign human-plus-AI work.

Foundations: platforms, data, retrieval and integration
Development: ML, agents, context and AI-native engineering
Operations and risk: monitoring, testing, security and governance
Business skills: workflow design, change and product judgment

Explore the in-demand AI skills

Questions about work and skills

What changes for people when AI enters the workflow?

Useful workforce planning begins with tasks, judgment and career movement—not a generic list of tools.

Which tasks should AI automate, assist or leave to people?

Automate stable, repeatable tasks when quality can be measured and exceptions can be handled. Use AI to assist work that benefits from speed or breadth but still needs context and review. Keep people clearly accountable where decisions affect rights, safety, livelihoods or trust. The answer belongs at task level; whole-job labels hide too much variation.

How should HR redesign a role before choosing training?

Map the role’s recurring tasks, important decisions, hand-offs and accountability. Then identify what AI can change, what new failure modes appear and what judgment must become stronger. Only after that should HR define the learning path, practice environment and performance measures. Read more about reskilling and upskilling ↗

Which skills become more valuable as AI improves?

Domain knowledge, problem framing, verification, communication and accountable judgment become more important because AI can produce plausible output without understanding the consequence. Tool fluency matters, but durable advantage comes from knowing what to ask, what to trust and when to intervene. Explore in-demand AI skills ↗

How should an organization measure AI learning?

Attendance and course completion show exposure, not capability. Measure whether people can use approved tools in a real task, recognize a weak output, apply the relevant policy, escalate uncertainty and improve a work result. Good assessment resembles the job rather than a memory test.

Will AI replace HR or other professional functions?

AI will replace some tasks, reshape many workflows and create new responsibilities, but the effect on a function depends on how work is reorganized. Roles that combine domain expertise, sensitive judgment, relationship management and accountability are more likely to change than disappear. Read the detailed HR analysis ↗

How many jobs will AI create?

No single forecast can settle this. New jobs depend on investment, demand, business formation and whether organizations redesign work instead of using AI only to remove cost. The net result also depends on how quickly displaced workers can move into new tasks and whether employers create credible entry paths. Explore the employment question ↗

How can an individual stay relevant?

Audit your task mix, learn the tools that matter in your field and make your judgment visible. Use AI to increase the scope or quality of your work, while strengthening the domain knowledge and relationships that make your contribution trustworthy. Read the career guide ↗