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Recursion Pharmaceuticals’ (RXRX) AI-driven cancer treatment is showing promising results in early studies

Recursion Pharmaceuticals’ (RXRX) AI-driven cancer treatment is showing promising results in early studies

We recently compiled a list of the 10 AI News Investors Probably Missed. In this article, we’ll take a look at where Recursion Pharmaceuticals, Inc. (NASDAQ:RXRX) stands compared to the other AI stocks.

As artificial intelligence continues to transform the industry, experts are increasingly focused on how its integration will impact investment strategies. The growth of AI presents investors with a unique opportunity to diversify their portfolios, not only by targeting leading technology companies, but also by considering the broader ecosystem, including infrastructure and cybersecurity.

In a CNBC interview, BlackRock’s Jay Jacobs and ETF expert Dave Nadig discussed the future of ETFs in 2025, particularly focusing on the accelerating phase of AI infrastructure. Jacobs emphasized that AI adoption is still in its early stages and megacap tech companies are making significant investments in data centers, chips and model training. He stressed the importance of looking beyond the tech giants, as other sectors such as semiconductors, data centers and software companies could also benefit from AI. Jacobs also noted that investing in cybersecurity will become increasingly important as the value of data increases.

Nadig added that the impact of AI will also extend to infrastructure sectors, particularly the energy sector, and stressed the importance of retail companies integrating AI into consumer devices. Finally, both experts acknowledged the growing importance of physical infrastructure such as electricity, data centers and materials such as copper in supporting the rapid spread of AI technologies.

READ ALSO: 11 trending AI stocks on the latest news and reviews And 10 AI stocks are taking Wall Street by storm.

On December 10, Bloomberg reported that OpenAI CFO Sarah Friar discussed the potential of charging business users thousands of dollars per month for their AI software to better reflect its value. She explained that AI tools can function like a highly trained assistant for users such as lawyers or academics, making a higher subscription fee reasonable. Currently, OpenAI offers a $20 monthly plan for consumers and a $200 option for access to more powerful models.

The company also charges companies per user. Going forward, Friar suggested the possibility of a value-based pricing model for AI products based on the benefits companies gain from them, such as automating tasks and reducing the need for additional employees. This approach could help offset the high costs of developing AI systems.

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