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Friday, June 19, 2026

AI Adoption

The World Is Moving Faster Than We Think — Is Sri Lanka Keeping Up?

Artificial Intelligence is often described as the defining technology of this decade. Yet despite the enormous media attention surrounding ChatGPT, Gemini, Claude, DeepSeek, and AI-powered software, the reality is that most of the world has still not adopted AI.

According to Microsoft's Global AI Adoption Report, global generative AI usage reached 16.3% of the world's population by the end of 2025. In other words, roughly one in six people worldwide had used a generative AI tool, while more than 80% of the world's population had not yet adopted the technology.

This means the AI revolution is simultaneously happening at unprecedented speed and still in its very early stages.

AI Diffusion Data Source

Economy H1 2025 AI Diffusion H2 2025 AI Diffusion Change
United Arab Emirates 59.4% 64.0% 4.5%
Singapore 58.6% 60.9% 2.3%
Norway 45.3% 46.4% 1.1%
Ireland 41.7% 44.6% 2.9%
France 40.9% 44.0% 3.1%
Spain 39.7% 41.8% 2.1%
New Zealand 37.6% 40.5% 2.9%
Netherlands 36.3% 38.9% 2.6%
United Kingdom 36.4% 38.9% 2.5%
Qatar 35.7% 38.3% 2.6%
Australia 34.5% 36.9% 2.4%
Israel 33.9% 36.1% 2.2%
Belgium 33.5% 36.0% 2.5%
Canada 33.5% 35.0% 1.5%
Switzerland 32.4% 34.8% 2.5%
Sweden 31.2% 33.3% 2.2%
Austria 29.1% 31.4% 2.2%
South Korea 25.9% 30.7% 4.8%
Hungary 27.9% 29.8% 1.9%
Denmark 26.6% 28.7% 2.1%
Germany 26.5% 28.6% 2.1%
Poland 26.4% 28.5% 2.1%
Taiwan 26.4% 28.4% 2.0%
United States 26.3% 28.3% 2.1%
Czechia 26.0% 27.8% 1.8%
Italy 25.8% 27.8% 2.0%
Bulgaria 25.4% 27.3% 1.9%
Finland 25.6% 27.3% 1.7%
Jordan 25.4% 27.0% 1.6%
Costa Rica 25.1% 26.5% 1.4%
Slovenia 24.6% 26.5% 2.0%
Saudi Arabia 23.7% 26.2% 2.5%
Lebanon 24.8% 25.7% 0.9%
Oman 22.6% 24.2% 1.6%
Portugal 22.4% 24.2% 1.8%
Slovakia 22.1% 23.8% 1.7%
Croatia 21.8% 23.7% 1.9%
Vietnam 21.2% 23.5% 2.3%
Dominican Republic 22.0% 22.7% 0.8%
Uruguay 20.9% 22.5% 1.6%
Lithuania 21.0% 22.4% 1.3%
Jamaica 22.2% 22.1% -0.1%
Colombia 20.4% 22.0% 1.6%
Panama 20.3% 21.5% 1.2%
Serbia 19.7% 21.5% 1.8%
South Africa 19.3% 21.1% 1.8%
Chile 19.6% 20.8% 1.2%
Malaysia 18.3% 19.7% 1.4%
Argentina 17.8% 19.6% 1.8%
Bosnia And Herzegovina 18.2% 19.5% 1.3%
Kuwait 17.7% 19.1% 1.4%
Greece 17.7% 19.1% 1.4%
Japan 16.7% 19.1% 2.4%
Philippines 17.1% 18.3% 1.2%
Georgia 17.3% 18.2% 0.9%
Mexico 16.7% 17.8% 1.1%
Ecuador 17.0% 17.7% 0.8%
Brazil 15.6% 17.1% 1.5%
Moldova 16.6% 17.0% 0.4%
Albania 15.8% 16.5% 0.7%
China 15.4% 16.3% 0.9%
Romania 15.3% 16.2% 0.9%
El Salvador 14.6% 16.2% 1.6%
India 14.2% 15.7% 1.4%
Azerbaijan 14.2% 15.5% 1.3%
Guatemala 13.7% 14.8% 1.1%
Peru 13.4% 14.7% 1.2%
Türkiye 13.4% 14.6% 1.2%
Mongolia 12.6% 14.3% 1.7%
Namibia 13.0% 13.8% 0.9%
Libya 12.7% 13.7% 1.1%
Kazakhstan 12.7% 13.7% 1.1%
Botswana 12.8% 13.7% 0.9%
Gabon 12.3% 13.4% 1.1%
Economy H1 2025 AI Diffusion H2 2025 AI Diffusion Change
Egypt 12.5% 13.4% 0.9%
Honduras 12.4% 13.1% 0.7%
Nepal 12.3% 13.0% 0.8%
Senegal 12.4% 12.9% 0.5%
Indonesia 11.7% 12.7% 1.1%
Tunisia 12.3% 12.7% 0.4%
Zambia 11.7% 12.3% 0.5%
Algeria 11.3% 12.0% 0.8%
Cote D’Ivoire 10.8% 11.7% 0.8%
Bolivia 10.9% 11.6% 0.7%
Iraq 10.3% 11.2% 0.9%
Paraguay 10.1% 11.0% 0.9%
Morocco 10.5% 10.9% 0.3%
Gambia 10.6% 10.9% 0.2%
Thailand 9.1% 10.7% 1.6%
Nicaragua 10.0% 10.7% 0.7%
Iran 9.6% 10.7% 1.1%
Pakistan 9.7% 10.3% 0.7%
Angola 8.9% 9.7% 0.8%
Madagascar 8.9% 9.7% 0.8%
Malawi 8.9% 9.7% 0.8%
Mozamb-ique 8.9% 9.7% 0.8%
Benin 8.7% 9.3% 0.6%
Burkina Faso 8.7% 9.3% 0.6%
Ghana 8.7% 9.3% 0.6%
Guinea 8.7% 9.3% 0.6%
Guinea-Bissau 8.7% 9.3% 0.6%
Liberia 8.7% 9.3% 0.6%
Mali 8.7% 9.3% 0.6%
Mauritania 8.7% 9.3% 0.6%
Niger 8.7% 9.3% 0.6%
Nigeria 8.7% 9.3% 0.6%
Sierra Leone 8.7% 9.3% 0.6%
Togo 8.7% 9.3% 0.6%
Lesotho 8.8% 9.1% 0.4%
Myanmar 8.4% 9.1% 0.7%
Ukraine 9.1% 9.0% -0.1%
French Guiana 8.3% 9.0% 0.7%
Guyana 8.3% 9.0% 0.7%
Suriname 8.3% 9.0% 0.7%
Venezuela 8.3% 9.0% 0.7%
Belarus 7.6% 8.4% 0.8%
Kyrgyzstan 7.6% 8.2% 0.7%
Kenya 7.8% 8.1% 0.3%
Russia 7.6% 8.0% 0.4%
Cameroon 7.0% 7.8% 0.7%
Central African Republic 7.0% 7.8% 0.7%
Chad 7.0% 7.8% 0.7%
Congo 7.0% 7.8% 0.7%
Congo (DRC) 7.0% 7.8% 0.7%
Haiti 7.1% 7.6% 0.5%
Zimbabwe 6.9% 7.6% 0.6%
Papua New Guinea 7.2% 7.3% 0.2%
Syria 6.7% 7.1% 0.4%
Bangladesh 6.5% 7.1% 0.6%
Burundi 6.4% 6.8% 0.4%
Eritrea 6.4% 6.8% 0.4%
Ethiopia 6.4% 6.8% 0.4%
Somalia 6.4% 6.8% 0.4%
South Sudan 6.4% 6.8% 0.4%
Sudan 6.4% 6.8% 0.4%
Tanzania 6.4% 6.8% 0.4%
Uganda 6.4% 6.8% 0.4%
Laos 6.0% 6.7% 0.8%
Armenia 6.2% 6.6% 0.4%
Sri Lanka 6.2% 6.6% 0.4%
Uzbekistan 5.7% 6.3% 0.6%
Rwanda 6.0% 6.3% 0.2%
Cuba 5.7% 6.1% 0.4%
Afghanistan 5.1% 5.6% 0.4%
Tajikistan 5.1% 5.6% 0.4%
Turkmenist-an 5.1% 5.6% 0.4%
Cambodia 4.6% 5.1% 0.5%
Source: Microsoft AI Economy Institute, Global AI Adoption Report 2025.

Sri Lanka's estimated AI adoption rate is less than half the current global average. For a country positioning itself as a technology and knowledge-services destination, this raises important questions about digital readiness and future competitiveness.

The Global AI Divide

The data also reveals a growing divide between countries.

Nations that invested early in digital infrastructure, AI education, language support, government digitization, and innovation ecosystems are seeing significantly higher adoption rates.

Countries such as the UAE, Singapore, Norway, Ireland, and South Korea are rapidly integrating AI into workplaces, schools, public services, and everyday consumer activities.

At the same time, many developing nations remain in the early adoption phase despite increasing internet connectivity and smartphone penetration.

The question is no longer whether AI will become mainstream.

The question is which countries will become producers of AI-driven value and which will remain consumers.

Sri Lanka's Position

Recent AI diffusion data places Sri Lanka significantly below the global average.

Estimated AI adoption rates:

• 2025: 6.2%
• 2026: 6.6%
• Growth: 0.4 percentage points

Compared with the global adoption rate of 16.3%, Sri Lanka appears to be operating at less than half the worldwide average.

For a country that frequently promotes itself as an IT and technology services destination, this should be a matter of concern.

A modern technology economy cannot rely solely on exporting software development services while lagging behind in the adoption of the technologies that are reshaping software development itself.

If this trend continues, Sri Lanka risks gradually losing competitiveness as other countries move toward AI-assisted development, autonomous workflows, intelligent automation, and AI-native business models.

How Are Sri Lankans Using AI?

Unfortunately, there is currently limited publicly available data that provides a detailed breakdown of AI usage patterns in Sri Lanka.

However, available evidence and observations suggest that most adoption currently falls into several categories:

• ChatGPT and Gemini for information retrieval
• Content generation and rewriting
• Academic assistance
• Coding assistance
• Social media content creation
• Customer service chatbot experimentation

The available evidence suggests that most users are interacting with AI through chatbot-style interfaces rather than through advanced agent-based systems.

In other words, users are typically performing manual prompting:

Prompt → Response → Copy → Modify → Repeat

rather than deploying autonomous workflows that can execute multi-step tasks with minimal supervision.

The Next Stage: From Chatbots to Agents

Globally, the most advanced AI users are moving beyond simple chatbot interactions.

They are building:

• AI agents
• Multi-agent systems
• Retrieval-Augmented Generation (RAG) platforms
• AI coding assistants
• Autonomous business workflows
• AI-powered software products

In these environments, the user is no longer manually prompting for every step.

Instead, AI systems can:

• Retrieve information
• Make decisions
• Execute workflows
• Coordinate with other systems
• Produce outcomes with limited human intervention

This represents a fundamentally different level of AI maturity.

Why Adoption Matters

The real economic value of AI does not come from asking a chatbot to write an email.

It comes from embedding AI into business processes, software products, customer experiences, logistics, finance, healthcare, education, and public services.

Countries that adopt AI early gain advantages in:

• Productivity
• Innovation
• Cost reduction
• Service quality
• Global competitiveness

Countries that delay adoption may find themselves competing against organizations that can deliver the same services faster, cheaper, and at greater scale.

The Opportunity for Sri Lanka

The encouraging news is that AI adoption remains relatively low worldwide.

Even globally, only around one in six people currently use generative AI.

This means there is still time for Sri Lanka to accelerate adoption, develop local expertise, improve AI education, encourage experimentation, and build AI-native businesses.

The opportunity is not simply to use AI.

The opportunity is to become a country that creates value through AI.

Whether Sri Lanka strengthens or weakens its position as a technology destination over the next decade may depend on how quickly it transitions from being a user of AI tools to becoming a builder of AI-powered products, services, and businesses.

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