Thailand is AI-aware, but not yet AI-ready. While most Thai business leaders recognise the power of artificial intelligence, only 15% of companies have actually implemented it. In a global race toward AI-driven innovation, that's a dangerous gap.

Here’s a breakdown of the most common mistakes Thai businesses make when trying to adopt AI, and how to avoid them.

1. Talking About AI, But Not Taking Action 

Many Thai companies feel the urgency to adopt AI, and many are putting 10 to 30% of their IT budget toward it. But the execution is still lacking. Studies show that despite the heightened urgency, only 21% are fully prepared to deploy AI, which brings an even bigger issue to light. Many jump in without a plan.

A lack of planning may result in wasted time and resources. Remember, align your investments with a clear strategy and purpose.

2. Focusing on Tech, Not the Problem 

A huge mistake many firms make is to start with the technology instead of the business issue. Too many companies adopt AI just because it’s the future, not because it solves a specific challenge.

• ✅ Start by asking: What’s the problem AI will solve?

• ❌ Don’t install AI systems that don’t tie back to your specific business goals.

3. Not Going All In 

Many businesses make the mistake of only testing out AI, only to never fully commit. This half-hearted approach often leads to lacklustre results.

Half-measures often lead to:

• Underused tools

• Low adoption

• Wasted money

What works: Treat AI as a business transformation, not just an IT project.

4. Underestimating the Talent and Data Gap 

AI is only as good as the people and data behind it. Many companies lack AI-skilled staff, rely on messy, siloed data, and don’t invest in proper infrastructure. 

But the solution is simple: businesses need to prioritise integrating their data systems and investing in employee upskilling to build a strong AI-ready foundation.

Book an AI consultation with Thaiger AI today! 

5. Forgetting the Human Side 

AI adoption often fails due to poor change management. It’s important to remember that employees are just as important as AI, and human nature can be resistant to change when it rolls in. 

Avoid this by: 

• ✅ Involving teams early

• ✅ Providing training

• ✅ Framing AI as a tool to enhance, not replace

6. Leaving AI in the IT Department 

AI is a cross-functional tool, it should serve HR, ops, finance, marketing, and more. Keeping it siloed limits the potential impact of the technology and may possibly create friction.

Instead, build AI squads with team members from across departments to ensure wide adoption and relevance. AI can be a useful tool for each and every department, so be sure to involve representatives from those departments in the planning and implementation phases.

What Thai Businesses Should Do Instead 

• 🎯 Start with clear business goals, not with tools

• 📚 Invest in AI education and build fusion skills

• 🧪 Roll out AI in phases, not all at once

• 💬 Foster a learning culture that sees AI as a partner, not a threat

8. Relying on Cheap Labour 

Thailand’s labour cost advantage won’t last forever. Global competitors are cutting costs by 50% through automation. Now is the time to shift from manual to smart, using AI to drive efficiency and productivity.

How Can Thaiger AI Help You

• 🚀 Increased Efficiency: Automate repetitive tasks so your team can focus on strategic initiatives.

• 💰 Reduce Costs: Optimise operations and workflows to save resources without sacrificing quality.

• ⚙️ Customisation: Tailor AI automation solutions to your specific business needs and objectives.

• 📈 Scalable Growth: Implement AI solutions that adapt and expand with your business.

• 🎯 Optimised ROI: Leverage AI-driven marketing to capture high-quality leads and boost revenue growth.

• 📊 Data Insights: Leverage real-time analytics to make smarter, faster decisions.

For Thai companies, the AI revolution isn’t coming, it’s already here. Those that move smartly, avoid the common pitfalls, and implement AI with intention will thrive in the future economy.