gtag('config', 'AW-379219751');
Out now!

The AI-fication of Talents

Building future-ready individuals, organisations and nations

AI is no longer a tool upgrade, it’s a new operating system for work.

The whitepaper shows where capability gaps are opening based on the CDE Innovation Prism, introduces the Performance Hexagon and the AI Capability Engine, and gives actionable playbooks for individuals, organisations and nations.

The Whitepaper is out now - Be the first to read it!

AI-Fication of Talents

Connect with us and stay in touch

Who will rise, and who will be left behind?

Access to AI is becoming universal, but adaptation isn’t.

As technology levels the playing field, it’s not tools that will determine success, but the ability to develop, deploy, and evolve capabilities in real time.

The new divide isn’t digital, it’s capability-driven.

Those who invest early in AI-aligned skills and mindsets will gain a compounding advantage.
Those who don’t risk sliding into obsolescence.

This white paper lays out the strategic pathways to build resilient, future-ready capabilities for individuals, organisations, and nations.

0 M

Jobs globally could be disrupted by AI in the coming years, according to the International Monetary Fund

0 M

New jobs may be created, but 83 million could disappear, according to the World Economic Forum

%

Of companies are planning to integrate
AI technologies before 2030

Why traditional models fail

Traditional models are insufficient for the challenges posed by AI integration. Legacy training, role design, and policy frameworks are too slow, too narrow, and too reactive. They’re built for a world where change was linear. AI demands systemic adaptation.

The white paper introduces a structured capability framework, guiding individuals at all levels, institutions and nations to identify, develop, and scale the competencies essential for navigating and leading in an AI-driven environment.

Introducing a capability framework for AI readiness

The whitepaper presents a structured methodology to help:

  • Individuals identify their AI-relevant strengths and upskill strategically

  • Organisations reshape roles, cultures, and workflows around adaptive capabilities

  • Nations drive systemic policy to foster long-term AI competitiveness

These are brought to life through three proprietary frameworks:

The Performance Hexagon, a model for mapping how individuals create value, from task execution to transformational leadership which describes five broad categories of contribution, each reflecting a different way individuals engage with work and complexity.

The CDE Innovation Prism, a tool to assess how AI reshapes industries through optimisation, amplification, and disruption.

Last but not least, the paper introduces the AI Capability Engine (ACE), a framework designed to help governments and organisations rapidly define, deploy, and measure AI-readiness across populations including six integrated components. ACE ensures that AI-readiness is not a technical project, but a strategic function that evolves with context and scale.

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!

Verified by MonsterInsights