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The AI-fication of Talents

Why Capability Is the New Competitive Advantage

This whitepaper defines a new model for AI-readiness — based on CFTE’s CDE Innovation Prism, Performance Hexagon and Capability Engine — to help individuals, institutions and nations build resilience in the AI economy.

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AI-Fication of Talents

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Who will rise - and who will be left behind?

AI is becoming universal — but capability isn’t. Those who build AI-aligned skills, systems and mindsets will thrive. Those who don’t will fall behind.

92M

Jobs expected to be displaced by AI by 2030 (World Economic Forum, 2025)

78M

AI-driven roles projected to be created globally by 2030 (World Economic Forum, 2025)

77%

Of companies plan to reskill their employees for AI (World Economic Forum, 2025)

40%

Of employers expect to reduce roles due to AI automation (WEF Future of Jobs Report, 2025)

What You’ll Discover Inside the Whitepaper

CDE Innovation Prism

A strategy tool to align Capabilities, Deployment, and Evolution across people and systems. Helps leaders track readiness over time.

Performance Hexagon

A model defining the 6 traits of future-ready professionals. Helps benchmark individual AI capability.

AI Capability Engine

A diagnostic tool to measure and accelerate AI-readiness for organisations, teams, and governments.

Who Should Read This Whitepaper

Policy Makers

Designing national workforce and AI-readiness strategies

Financial Institutions

Preparing internal capabilities for AI transformation

HR & Learning and Development Leaders

Upskilling teams and reshaping talent frameworks

Professionals & Strategists

Building personal resilience and future-proof skills

The journey of "Literacy" : From Basics to AI Mastery

Over the past 20 years, while digital literacy has evolved with advancements in smartphones, laptops, and tablets, the fundamental concepts of internet usage have remained consistent.

In contrast, AI literacy is progressing at an exponential rate, with tools rapidly evolving from generating simple images to building complex virtual worlds and automating intricate business processes. This swift transformation necessitates that users continually learn and stay updated on the latest AI advancements to remain effective and competitive.

1800s - 2000s
Introduced
Literacy in the Traditional Sense

Traditionally, literacy was defined as the ability to read and write, serving as the foundation for education and societal participation. Over time, this definition has expanded to encompass the understanding and interpretation of information. According to UNESCO, “literacy is the ability to identify, understand, interpret, create, communicate, and compute, using printed and written materials associated with varying contexts.”

2000s-2010s
Expanded
The Evolution of Internet Literacy

By the early 2000s, evaluating online credibility, protecting personal data, and navigating digital spaces became essential skills, marking the evolution of internet literacy into a necessity. As we entered the 2010s, the importance of internet access gained recognition, culminating in the UN declaring it a human right in 2016. 

2020s
The EU AI Act came into force
The beginning of AI Literacy

Under Article 4 of EU AI Act, it requires organisations to ensure their workforce understands AI systems, their opportunities, and associated risks. By February 2025, organisations must tailor AI literacy training to their staff's technical knowledge and context, ensuring employees have the necessary understanding of AI systems and their potential impacts.

A framework to embed AI literacy within your organisation​

Do you know only about 15% of the workforce will directly design or programme AI systems, while 85% will use AI in their daily tasks? The majority of employees don’t need to code but must be skilled in operating AI tools, understanding insights, and critically assessing outputs.

CFTE creates a framework to embed AI literacy within your organisation, focusing on a deep understanding of AI and its outputs. Here are five practical ways to implement AI literacy.

Step 1
Establish a Strong Understanding of AI Fundamentals

To create a foundation of AI literacy, it's essential that all employees grasp basic AI concepts like algorithms, machine learning, and how AI systems work.

Step 2
Promote Practical Proficiency with AI Tools

AI literacy includes hands-on proficiency. Employees should be trained to use AI tools that can enhance their productivity and decision-making. Familiarity with AI in practical settings ensures fully leverage its capabilities.

Step 3
Encourage Critical Evaluation of AI Outputs

A crucial part of AI literacy is developing the ability to critically assess AI-generated results. Employees need to question the accuracy, fairness, and potential biases in AI outputs, instead of over-relying on AI decisions.

Step 4
Instil Responsible and Ethical Use of AI

AI literacy includes recognising the potential societal, privacy, and fairness issues that arise with AI use. Employees should be aware of how their use of AI affects data privacy and broader ethical concerns.

Step 5
Foster a Culture of Continuous Learning and Adaptability

With the rapid advancement of AI, staying up-to-date with AI innovations is vital. Employees must continuously learn about new AI tools, capabilities, and ethical considerations.

Is Your Organisation Ready for the EU AI Act?

In 2024, the EU AI Act came into effect, emphasising the urgent need for AI literacy across all levels of organisations. By February 2025, all organisations utilising AI must ensure their employees have the appropriate understanding of AI, including their applications, benefits, and associated risks. This requirement extends to all stakeholders, from AI providers to end users.

If your organisation seeks support in achieving AI literacy, CFTE is here to help!

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