Talent & Skills

Does your team know how to work with AI?

Talent & Skills measures your workforce's ability to build, deploy, and work alongside AI — from technical specialists to everyday users. The talent gap is the most cited barrier to AI adoption globally.

Why It Matters

Only 31% of organisations have high talent readiness for AI (Cisco AI Readiness Index).

24% of companies lack in-house AI expertise entirely (Cisco, 2024).

AI literacy among non-technical staff is the difference between adoption and resistance.

Industry Benchmarks — Talent & Skills

Technology6.0/10
Finance5.0/10
Professional Services4.8/10
Media4.8/10
Healthcare3.4/10
Retail3.4/10
Education3.4/10
Manufacturing2.8/10
Government2.6/10

Common Gaps

No AI training programs

Staff are expected to use AI tools without structured learning paths.

Can't recruit AI talent

Competing with tech giants for a tiny pool of ML engineers and data scientists.

Leadership AI illiteracy

Executives make AI decisions without understanding capabilities and limitations.

How to Improve

1

Launch AI literacy program for all staff (2h/month)

High impactLow effort
2

Create AI champions network (one per department)

High impactLow effort
3

Partner with universities for AI internship pipeline

Medium impactMedium effort
4

Executive AI workshop — hands-on, not slides

High impactLow effort

Recommended Tools

Learning Platform

Coursera / Udemy Business

Structured AI courses for all skill levels.

AI Coding Assistant

GitHub Copilot

AI pair programming that upskills developers on AI integration.

AI Assistant

Claude / ChatGPT Enterprise

Organisation-wide AI assistant with security controls.

How does your talent & skills measure up?

Take the free AI Readiness Quick Scan to see your score across all 8 dimensions, with industry benchmarks and personalised recommendations.

Take the Free Quick Scan

Explore Other Dimensions

Strategy & VisionData MaturityTechnology StackProcess ReadinessGovernance & EthicsCulture & ChangeFinancial Readiness