In the fast-paced world of artificial intelligence, things can change quickly. When the new AI model called R1 came out, it caused a big stir in the stock market. The AI stocks  which focus on AI themes can look the same to the casual investor, but actually have different performance.

It didn't take long for investors to see that some AI stock funds were doing well while others were struggling. This happened because of new developments in the AI industry, which affected different parts of the value chain in different ways.

Investors who didn't know better, might have thought that the key to powerful AI models was having a lot of data and powerful computers. This would seem to benefit companies like Nvidia. However, R1 showed that you don't always need that. By using better techniques, AI development can use less computing power, which means lower costs. This change has big implications. It challenges existing business models and forces investors to rethink their strategies.

Despite some big-name AI stocks taking a hit, US-based AI and Big Data funds actually saw a boost in investments during the week. This shows that these funds can be used as tactical tools. The Global X Artificial Intelligence & Technology ETF AIQ, for example, saw strong inflows at the end of the week. This suggests that investors still have faith in the long-term potential of the AI sector.

In the AI world, it seems that software companies are currently doing better than hardware ones. The ProShares Big Data Refiners ETF and the TrueShares Tech, AI, and Deep Learning ETF both did well because they focused on software companies. Elastic NV, a data analytics company, was a standout performer, benefiting from more efficient AI technology.

This trend was the opposite with hardware-focused funds. VistaShares Artificial Intelligence Supercycle ETF and Pacer Data and Digital Revolution ETF struggled. These funds lost money because they were heavily invested in hardware companies like Taiwan Semiconductor Manufacturing, Advanced Micro Devices, Intel, and Nvidia. Nvidia took a big hit, losing 18. 4% of its value in one week.

These changes highlight how quickly the AI industry can shift. It's a reminder that investors need to stay adaptable and informed. The AI industry is constantly evolving, and what works one day might not work the next.

The AI Stock Shakeup: Why Some Investors Won Big While Others Lost

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