The Pied Pipers of Real Estate in Phuket: Are They Putting You in Danger?

We covered the subject of artificial intelligence and its risks in a previous issue, but as the technology evolves, what we are now witnessing is no longer just concerning. It is becoming increasingly difficult to ignore, and a further follow-up is clearly justified. 

What began as a useful tool has developed into something far more problematic. Misinformation is now being delivered with confidence and people are relying on it without question. 

The title of this article is not accidental. The legend of the Pied Piper of Hamelin tells of a charismatic figure who used music to rid a town of rats. When the town refused to honour its agreement and pay him, he returned and used that same influence to lead the town’s children away, never to be seen again. It is a story about persuasion, trust and the consequences of blindly following something that appears powerful and convincing. The danger was never the music itself, but the willingness of people to follow without questioning where they were being led. 

Today, the method has changed, but the behaviour has not. In Phuket’s property market, the consequences are already visible. 

There are increasing instances of individuals being influenced by AI-generated guidance when dealing with legal structures. In some cases, this extends to advice that could expose buyers to serious consequences, including financial penalties, loss of assets, or worse. The idea that someone would replace proper legal advice with an AI chatbot may sound irrational, yet it is happening with growing frequency. 

Concerns around nominee structures illustrate the issue clearly. Authorities in Thailand have previously highlighted firms involved in registering large numbers of companies using Thai shareholders on behalf of foreign interests. These are complex legal matters, yet generic AI systems continue to reference such structures without properly addressing the risks involved. 

At the same time, AI is influencing pricing behaviour. Buyers are arriving with AI-generated reasoning to justify unrealistic offers, while sellers use it to support inflated asking prices. In some cases, even legal professionals are relying on AI outputs without verifying their accuracy. 

Much of this behaviour is being driven by widely available tools such as ChatGPT, Google Gemini, Claude, Microsoft Copilot, Perplexity AI, Grok, DeepSeek, Meta AI and Pi. While these systems differ in design, they share a common trait. They are built to generate answers that sound convincing, regardless of whether those answers are correct. 

To understand why this is happening, it is important to define what these systems actually are. 

Generic AI is based on what is known as a large language model (LLMs). In simple terms, it is trained to predict the next word in a sequence based on patterns learned from vast amounts of text. It does not retrieve verified facts or apply judgement in the way a human expert would. It constructs responses designed to sound coherent and plausible. 

This leads to a critical point that very few people fully appreciate. Artificial intelligence does not optimise for truth. It optimises for plausibility. The objective is to produce an answer that reads well and appears credible. Whether that answer is correct is not its primary function. 

A useful principle from computing is 'garbage in, garbage out'. If the underlying data is incomplete, outdated, or misleading, the output will inevitably reflect those flaws. In a market such as Phuket, where much of the publicly available information on property and legal structures is inconsistent or inaccurate, this becomes a serious limitation. 

This is further compounded by the nature of online information itself. Much of what these systems learn from is publicly accessible content, which varies widely in reliability. Even widely used platforms such as Wikipedia rely on contributions from individuals. While often useful, there is no absolute guarantee that all information is correct. It remains a collection of human input, interpretation and opinion. 

When artificial intelligence is trained on a mixture of reliable and unreliable sources, the result is predictable. It produces answers that sound convincing, but which may be fundamentally flawed. 

This limitation becomes even more apparent when considering consistency. You can ask the same question, then ask it again later, and receive a different answer. Both responses may appear logical, but they can lead to entirely different conclusions. This happens because the system is not retrieving a fixed truth. It is generating a response based on probability and context at that moment in time. 

In a property transaction, that creates risk. 

We are already seeing the effects. Within companies, conflicting AI-generated reports are contributing to internal disagreements, with decisions sometimes influenced by whichever version appears more persuasive. 

Another issue that is widely misunderstood is hallucination. This occurs when AI generates information that is simply not true, yet presents it with confidence. The language is structured and fluent, which makes it appear credible, even when it is not grounded in fact. 

However, the technology is only part of the problem. The other part lies with human behaviour. 

People do not always approach these tools with objectivity. Many are influenced by cognitive bias, seeking confirmation of what they already believe rather than an accurate assessment of reality. When an AI-generated response aligns with their expectations, it is accepted. When it does not, the question is often repeated in a different way until a more agreeable answer appears. This process is reinforced by cognitive dissonance. Information that challenges existing beliefs is rejected, while information that supports them is embraced. AI makes this cycle faster and easier. 

This behaviour is now becoming visible in everyday communication. Messages are increasingly structured in a way that mirrors AI output, with overly polished informational tone and unnatural formatting that would rarely have appeared in casual exchanges even a short time ago. The use of em dashes, bullet-style structuring, and formalised phrasing in informal messages can often reveal that the content has been generated rather than understood. 

The use of AI itself is not the issue. 

The problem arises when generated information is presented as personal knowledge without proper understanding or verification. If that information is incorrect, the consequences can extend beyond embarrassment. In a property or legal context, repeating or acting on misleading guidance can expose individuals to serious implications. 

Over time, this creates a false sense of understanding. People feel informed because the language is clear and structured, but clarity does not equal accuracy. 

In Phuket, this becomes particularly dangerous. Property here is not a straightforward market. Legal structure, ownership restrictions, developer credibility and local conditions all play a significant role. These are not factors that can be reliably simplified into generic answers. 

Artificial intelligence can describe a structure, but it cannot understand how laws are applied in practice. It cannot assess enforcement risk, anticipate financial consequences or evaluate long-term implications. 

It has no concept of consequence. 

Equally important is the issue of accountability. For example, in most parts of the western world, if a professional advisor provides incorrect guidance, there are clear mechanisms for responsibility and recourse. Artificial intelligence operates outside of that framework entirely. It provides answers, but carries no legal responsibility for the outcome. Particularly in Thailand, where enforcement and recourse can be more complex. 

This distinction matters.

 The proper use of artificial intelligence is not about accepting answers at face value. It should be used as a tool to explore ideas, challenge assumptions and refine understanding. Without that process, what appears to be insight is often little more than surface-level reasoning presented with confidence. 

Artificial intelligence is beginning to resemble the Pied Piper of human judgement. It presents a confident narrative, draws people in and leads them forward without them fully understanding where they are going. 

The risk is not only the technology itself. It is the willingness to follow it without question. 

Artificial intelligence will continue to evolve, and its influence will only grow. But that does not make it a source of truth. In a market as complex as Phuket, where legal structure, local knowledge and real-world experience are essential, there is no substitute for informed human judgement. 

AI can assist. It should never lead. Those who recognise this will protect themselves. Those who do not may only realise the consequences when it is too late. 

by Thai Residential Phuket Property Guide

This article is from the Thai Residential Phuket Property Guide. To download the 2025/2026 Guide visit ThaiResidential.com