AI Literacy Training
for Executives & Leadership Teams
Instructor-led AI literacy workshops that give leaders the judgement to question AI, use it well and govern it, in person across India and Asia, or live online.
AI literacy training teaches people how AI works, what it can and cannot do, how to use it safely and effectively, and how to judge its output critically, without needing to code. For executives, AI literacy goes further: it is the ability to evaluate AI opportunities, risks and costs, ask the right questions of teams and vendors, and stay accountable for decisions AI influences.
Why it matters now
AI Literacy Has Become a Leadership Requirement
Three developments have moved AI literacy from a nice-to-have to a board-level concern.
The performance case. In June 2025, Gartner predicted that by 2027, organisations that emphasise AI literacy for executives will achieve 20% higher financial performance than those that do not. Gartner's reasoning is that executives must understand AI's opportunities, risks and costs to make effective investment decisions, and it recommends experiential upskilling rather than theory alone.
The regulatory case. Since 2 February 2025, Article 4 of the EU AI Act has placed an AI literacy obligation on organisations that provide or deploy AI systems. It was softened in July 2026, but organisations must still take measures to build AI literacy among their staff and others using AI on their behalf.
The behaviour case. People are not waiting for permission. In Microsoft and LinkedIn's 2024 Work Trend Index, 75% of knowledge workers said they use generative AI at work, but only 39% of AI users had received training from their employer.
Sources: Gartner (June 2025); EU AI Act, Article 4 (as amended July 2026); Microsoft & LinkedIn, 2024 Work Trend Index.
Definitions
What Is AI Literacy?
AI literacy is the set of knowledge, skills and judgement that lets a person understand, use, evaluate and govern AI responsibly. It is not the same as technical AI skill. An AI-literate executive does not build models; they know enough to decide where AI belongs, recognise when its output is wrong, and remain accountable for the result.
What are the four pillars of AI literacy?
One of the most widely cited frameworks comes from Ng, Leung, Chu and Qiao's 2021 review in Computers and Education: Artificial Intelligence, which identified four aspects of AI literacy. We use them as the backbone of our curriculum, translated into what each means for a leader.
| Pillar | What it covers | What it looks like in a leader |
|---|---|---|
| Know and understand | How AI works, its basic concepts, capabilities and limits | Explains in plain language what a model can and cannot do, and why it can sound confident and still be wrong |
| Use and apply | Applying AI in real contexts and tasks | Uses AI personally for research, analysis and preparation, and knows where it saves time |
| Evaluate and create | Judging AI output and designing AI-enabled solutions | Challenges AI output and vendor claims, and scopes AI use cases with clear outcomes |
| Ethics | Fairness, accountability, transparency and safety | Sets guardrails, protects data and stays accountable for decisions AI influences |
Pillars as identified by Ng et al. (2021). The leadership translation is our own.
MIT Sloan Executive Education makes a similar point for executives, describing AI literacy as a key piece of an executive's skill set that rests on judgement about where AI creates value, where it adds risk and how it changes accountability.
Our point of view
AI Literacy for Executives Is Not AI Literacy for Everyone
Most AI literacy programmes are designed for the average employee. Leaders need something different, and three common assumptions get in the way.
"AI literacy means knowing how to prompt."
Prompting is a useful skill, but it is the smallest part of literacy for a leader. The harder skills are judging output, choosing where AI belongs and owning the consequences.
"It's a compliance module for HR to roll out."
A click-through module may record attendance. It will not change how leaders evaluate AI investments or how teams use AI on real work, which is where risk and value actually sit.
"One course and we're literate."
AI capabilities change faster than most organisations can update their norms. Literacy is a habit built through practice, with regular refreshers as tools and risks evolve.
Who needs what
AI Literacy Training for Executives, Managers and Employees
The EU AI Act asks for literacy that takes into account people's knowledge, experience and the context in which AI is used. In practice, that means different depth for different roles.
| Audience | What AI literacy means for them | Best format |
|---|---|---|
| Board and CXOs | Evaluating AI strategy, investment, risk and accountability; asking the right questions | Executive workshop or briefing |
| Senior leaders and business heads | Identifying and prioritising use cases, judging vendors, setting guardrails for their function | Instructor-led leadership workshops |
| Managers | Redesigning team workflows, checking AI output, leading people through change | Hands-on workshops by function |
| Employees | Safe everyday use, data rules, recognising errors and bias, knowing when to escalate | Short sessions plus online learning |
We focus on the first three groups. When leaders and managers are literate first, employee training has clear rules, relevant examples and people who can answer questions.
Regulation
Does the EU AI Act Require AI Literacy Training?
Article 4 of the EU AI Act has applied since 2 February 2025. As originally written, it required providers and deployers of AI systems to take measures to ensure, to their best extent, a sufficient level of AI literacy among their staff and other people dealing with AI systems on their behalf, taking into account their knowledge, experience, training and the context of use.
The EU's AI Omnibus, which entered into force on 27 July 2026 as Regulation (EU) 2026/1744, softened the wording. Providers and deployers must now take measures to support the development of a sufficient level of AI literacy, and the Commission and Member States are tasked with supporting those efforts. The obligation to act remains; the expectation that organisations guarantee an outcome does not.
Three points matter for leaders:
- It is broad. It covers organisations that deploy AI, not only those that build it, so a company using AI tools in its operations is in scope where the Act applies.
- It is proportionate. The Act does not require a particular course or certificate. It expects measures suited to people's roles and the risks involved.
- It is global in effect. Many organisations outside Europe are affected through EU operations, customers or AI systems used in the EU, and similar expectations are appearing in other jurisdictions.
Role-based, documented, instructor-led training remains one of the clearest ways to show those measures are in place, and well-trained people reduce the real risks the rule was written to address. For broader guardrails and accountability, see our Responsible AI & AI Governance training.
This is a general summary, not legal advice. Check how the Act applies to your organisation with qualified counsel.
India, Malaysia, Singapore and Asia
AI Literacy in India and Asia: High Adoption, Bigger Gaps
Asia is ahead of the global average on AI use at work, which makes AI literacy more urgent, not less. In Microsoft and LinkedIn's 2024 Work Trend Index, 92% of knowledge workers in India, 88% in Singapore and 84% in Malaysia said they use AI at work, against 75% globally.
The same surveys show where literacy is missing. 54% of Indian leaders and 68% of Singaporean leaders worried that their organisation lacked a plan and vision for implementing AI. In Malaysia, 83% of AI users were bringing their own AI tools to work, often outside company rules. Meanwhile leaders are raising the bar for new hires: 80% in India, 77% in Singapore and 65% in Malaysia said they would rather hire a less experienced candidate with AI skills than a more experienced one without them.
What regional AI guidelines expect
Asian governments have so far chosen guidance over hard rules, but both major frameworks assume people who understand AI well enough to use it responsibly.
| Framework | What it is | Why literacy matters |
|---|---|---|
| Malaysia: National Guidelines on AI Governance & Ethics (AIGE) | Voluntary guidelines launched in September 2024, with seven principles including fairness, transparency, privacy and accountability, aimed at end users, policymakers and developers | Accountability and transparency depend on users and leaders who understand how AI reaches its outputs |
| India: AI Governance Guidelines (MeitY) | Released in November 2025, built on seven "sutras" including people first, accountability and understandable by design, with capacity building as an enabling pillar and no new prescriptive regulation for now | A people-first, accountable approach relies on organisations building AI capability internally |
| EU AI Act, Article 4 | Legal AI literacy obligation for providers and deployers, as amended in July 2026 | Applies to many Indian and Asian groups through EU operations, customers or AI systems used in the EU |
For organisations across India, Malaysia, Singapore and the wider region, the practical conclusion is the same: high AI adoption without leadership literacy creates risk faster than value. Our AI literacy workshops are delivered in person across India and Asia, and live online.
The curriculum
Inside the AI Literacy Workshop for Executives
Five instructor-led sessions, tailored to your industry and run in person or live online. Every session is hands-on and uses your organisation's own work.
How AI Actually Works, in Business Terms
Generative AI, predictive AI and agents explained without jargon: what each does well, where each fails, and why fluent output is not the same as correct output.
Exercise: live demonstrations on tasks from your own industryUsing AI on Leadership Work
Hands-on use of AI for research, analysis, decision preparation and communication, with approved tools and clear data rules.
Exercise: each leader completes one real task of their own with AIJudging AI Output and AI Claims
Recognising hallucination, bias and overconfidence; checking sources; and questioning vendor claims about accuracy, cost and data use.
Exercise: spot-the-error review and a vendor challenge role-playResponsible Use and Accountability
Data protection, acceptable use, what must stay human, and how the EU AI Act and similar rules shape leaders' responsibilities, through the 10X Humane AI Lens.
Exercise: applying the four R questions to live AI uses in your organisationFrom Literacy to Action
Identifying where AI could change decisions and workflows in each leader's area, and agreeing personal and team commitments for the next 30 days.
Exercise: building a personal AI action plan and a team opportunity listOur framework
Literacy With Judgement: The 10X Humane AI Lens
Knowing how AI works is the start. Leaders leave able to test any AI use against four questions.
Your options
Free AI Literacy Courses vs Instructor-Led AI Literacy Workshops
There is good free and low-cost AI literacy material available, including resources from Google and Microsoft, and AI literacy courses on platforms such as Coursera. For individual awareness, they are worth using, and we often recommend them as pre-reading.
| Free and online AI literacy courses | Instructor-led AI literacy workshops | |
|---|---|---|
| Best for | Individual awareness and fundamentals | Leadership teams and managers building shared capability |
| Format | Self-paced videos and modules | Live facilitation, in person or online |
| Examples used | Generic | Your industry, your workflows, your decisions |
| Practice | Quizzes | Hands-on work on real tasks, with feedback |
| Covers your policies and tools | No | Yes, built around your approved tools and data rules |
| Outcome | Certificate of completion | Leaders who can apply, question and govern AI, plus a 30-day plan |
The difference matters most for executives. Gartner's own recommendation for building executive AI literacy is experiential: making AI tangible through hands-on work in the leader's own domain. That is very hard to do alone with a video course.
Proving it worked
How to Measure AI Literacy in Your Organisation
Attendance is not literacy. We recommend agreeing a small set of measures before training starts and reviewing them 30 to 90 days later.
| Measure | How to track it |
|---|---|
| Confidence and understanding | Short self-assessment before and after the workshop |
| Regular, sanctioned use | Share of leaders using approved AI tools on real work each week |
| Quality of judgement | Errors caught before AI output is used; vendor claims challenged |
| Use cases identified | Number of owned AI opportunities raised by each function |
| Policy in practice | Fewer data or acceptable-use incidents; teams briefed on guardrails |
Outcomes
What Your Leaders Walk Away With
Capability they can use the next morning, not just vocabulary.
A working understanding of AI
What today's AI can and cannot do, explained in the language of their business.
Personal AI fluency
Hands-on habits for using AI on their own work, safely and within your rules.
The judgement to question AI
The confidence to challenge AI output, team proposals and vendor claims.
A 30-day action plan
Personal commitments and a list of team opportunities to take forward.
Where this fits
Part of Our Corporate AI Training
AI literacy is the foundation of every 10X AI Leaders programme. It can also run as a standalone workshop for a leadership team or management group.
AI for Leaders & CXOs
For senior leaders who need to set AI direction and make confident AI decisions.
Explore the programme →AI for Managers
For managers who turn AI literacy into everyday practice across their teams.
Explore the programme →All AI Training & Workshops
See every programme and focused workshop for leadership teams and managers.
View all training →FAQ
Frequently Asked Questions
Common questions about AI literacy and AI literacy training.
What is AI literacy training?
AI literacy training teaches people how AI works, what it can and cannot do, how to use it safely and effectively, and how to evaluate its output critically, without requiring technical or coding skills. For executives, it also covers evaluating AI opportunities, risks and costs, and staying accountable for decisions AI influences.
What is AI literacy?
AI literacy is the knowledge, skills and judgement needed to understand, use, evaluate and govern AI responsibly. It is different from technical AI expertise: an AI-literate person does not need to build models, but can decide where AI belongs and recognise when its output is wrong.
What are the four pillars of AI literacy?
A widely cited 2021 review by Ng, Leung, Chu and Qiao identified four aspects of AI literacy: know and understand AI; use and apply AI; evaluate and create with AI; and AI ethics. Together they cover understanding, practical use, critical judgement and responsible use.
What is the AI literacy curriculum?
A good AI literacy curriculum for leaders covers how AI works in business terms, hands-on use of AI on real work, judging AI output and vendor claims, responsible use and accountability, and turning learning into an action plan. Employee curricula focus more on safe everyday use and organisational policy.
What does AI literacy mean for executives?
For executives, AI literacy means being able to evaluate AI strategy, investments and risks, ask informed questions of teams and vendors, set guardrails, and remain accountable for AI-influenced decisions. Gartner predicts organisations that emphasise executive AI literacy will achieve 20% higher financial performance by 2027.
Does the EU AI Act require AI literacy training?
Article 4 of the EU AI Act requires providers and deployers of AI systems to take measures on AI literacy for their staff and others using AI on their behalf. Since the AI Omnibus amendment entered into force on 27 July 2026, the duty is to take measures to support the development of a sufficient level of AI literacy, rather than to ensure it. The Act does not require a specific course or certificate. This is not legal advice.
Is AI literacy training required in India or Malaysia?
Not by law at present. Malaysia's National Guidelines on AI Governance and Ethics (2024) and India's AI Governance Guidelines (2025) are guidance frameworks rather than binding AI literacy rules. However, both emphasise accountability and people-first use of AI, and Indian and Asian organisations with EU operations or customers may fall under the EU AI Act's AI literacy obligation. This is not legal advice.
Do you deliver AI literacy training in India and Asia?
Yes. 10X AI Leaders delivers instructor-led AI literacy workshops for leadership teams and managers in person across India and Asia, including Malaysia, and live online for organisations elsewhere.
How can I learn AI literacy?
Start by using AI regularly on your own work, then build fundamentals through a reputable introductory course; Google, Microsoft and platforms such as Coursera offer free or low-cost options. For leadership teams, instructor-led workshops built around your own industry and decisions are the fastest way to build shared, practical literacy.
Should I start AI literacy training?
If your organisation uses AI tools, or your people do without approval, AI literacy training is worthwhile. Start with leaders and managers so that direction, guardrails and examples are in place before training is rolled out more widely.
How much does AI literacy training cost?
Many introductory online AI literacy courses are free or low-cost per learner. Instructor-led AI literacy workshops for organisations are usually priced per engagement, depending on audience, depth, customisation and format. We share a proposal after an initial consultation.
How long does AI literacy training take?
Introductory employee sessions often run one to four hours. Leadership AI literacy workshops typically run from half a day to two days, or as a series of shorter live online sessions so that leaders can apply what they learn between them.
Are there free AI literacy courses?
Yes. Google, Microsoft and several online learning platforms offer free AI literacy material. These courses are useful for individual awareness and pre-reading, but they cannot cover your organisation's own tools, policies and decisions.
What is needed for AI literacy?
No technical background is needed. People need a basic understanding of how AI works, hands-on practice with AI on real tasks, the habit of checking AI output critically, and clear organisational rules on data and acceptable use.
Sources
- Gartner, Gartner Announces the Top Data & Analytics Predictions (June 2025)
- Microsoft, 92% of Indian Knowledge Workers Use AI in the Workplace (May 2024)
- Microsoft, 2024 Work Trend Index: Singapore (May 2024)
- Microsoft, 2024 Work Trend Index: Malaysia (June 2024)
- Government of Malaysia, National Guidelines on AI Governance & Ethics (2024)
- AZB & Partners, MeitY Releases India AI Governance Guidelines (November 2025)
- EU Artificial Intelligence Act, Article 4: AI Literacy
- White & Case, EU AI Omnibus Enters into Force, Amending the AI Act (2026)
- Ng, Leung, Chu and Qiao, Conceptualizing AI Literacy: An Exploratory Review, Computers and Education: Artificial Intelligence (2021)
- Microsoft & LinkedIn, 2024 Work Trend Index: AI at Work Is Here. Now Comes the Hard Part (May 2024)
- MIT Sloan Executive Education, AI Literacy: A Key Piece of an Executive's Skill Set (2026)
Literate Leaders Make
Better AI Decisions.
Tell us about your leadership team and where AI stands today. We'll recommend an AI literacy workshop built around your organisation, in person across India and Asia, or live online.
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