Trend of Using AI for Cryptocurrency Prediction; Upbit Urges Investors to Remain Cautious

Jakarta – The development of artificial intelligence (AI) technology is increasingly influencing various sectors, including the cryptocurrency asset industry. One application gaining considerable attention is the use of AI to help predict the movement of digital asset prices.

Although this technology offers various potential benefits, industry stakeholders remind investors that the use of AI in price prediction still has limitations and risks that need to be understood.

Upbit Indonesia’s Chief Executive Officer, Resna Raniadi, stated that AI can be a useful tool for analysing the cryptocurrency market. However, it cannot replace a fundamental understanding of the market and wise investment decision-making.

“AI is capable of processing large amounts of data very quickly, which can help investors identify market patterns or trends that may be difficult to detect manually,” Resna said in a statement on Monday, 16 March 2026.

“However, it is important to remember that this technology still has limitations and cannot guarantee accurate price predictions,” he added.

In recent years, Resna explained that AI is increasingly being used to analyse various market indicators. This covers historical price data, transaction volume, social media sentiment, and developments in global news that may affect the market.

With the ability to process data in real-time, AI has the potential to help investors understand market dynamics more quickly. Several platforms have developed AI models capable of providing trend analysis or data-based recommendations.

This technology can also encourage investors to better understand data and the various factors influencing digital asset price movements.

“Nevertheless, Upbit Indonesia emphasises that the use of AI in price prediction cannot be the sole basis for making investment decisions,” said Resna.

The cryptocurrency market is known for having a high volatility rate and is influenced by various external factors such as regulatory policy, global economic conditions, and rapidly changing market sentiment. On the other hand, excessive reliance on automated analysis results without understanding how the technology works also poses a separate risk for investors.