We recently published a list of eight AI stocks that send shockwaves to Wall Street following the horrors of Deepseek. In this article, we look at where the Hewlett Packard Enterprise Company (NYSE:HPE) stands against other AI stocks sending shockwaves to Wall Street following the fear of Deepseek.
The pace of development and deployment of artificial intelligence is “pretty scary.” That’s a recurring emotion from Steven Adler, a former safety researcher at Openai. The statement comes amid growing concern that robust AI systems that can avoid human control can have catastrophic consequences.
Amidst growing safety concerns, the tech giant and emerging startups have shown no indications of slowing down AI spending. They are allocating billions of dollars in capital expenditures to accelerate the development of powerful AI systems. Bloomberg expects capital expenditures in the development of a variety of AI solutions to exceed $200 billion in 2025, representing an increase of $90 billion from last year.
Higher capital expenditures should bring about new innovations that will lead to widespread use of AI in many industries. Similarly, AI is projected to transform a variety of sectors, including healthcare, retail, finance and the automotive industry.
Nevertheless, billionaire investor Steve Cohen believes that transformative changes in AI could take decades. “This is a theme for 10 to 20 years. It will affect everyone about how they do their lives and how they do their business.” Cohen said. “We’re the first and second inning of something that’s going to be transformative for the economy and the world. …It’s a very dramatic and important change, and to ignore it, I think it’s a mistake. Masu.”
The CEO and chairman of Hedge Fund Point72 argues that the AI boom could have ups and downs, and that the volatility surrounding AI-related investments could be exacerbated by a lack of reliable information. However, the growing need for cutting-edge AI technologies such as Deep Learning and Robotics can lead to difficulties with hardware parts such as AI chips. This is because the high processing demand for AI algorithms and machine learning models exceeds traditional CPU and GPU capabilities. Top tech companies need to increase their spending and production to overcome these obstacles.
Energy efficiency is another issue, as AI applications such as generator AI and large-scale language models require large-scale data processing. Potential relief includes quantum computing and high bandwidth memory, but each has its drawbacks. Amid the growing energy needs needed to power AI models and infrastructure, former Canadian deputy prime minister Krishstia Freeland urged President Donald Trump to ensure that tariff threats are removed from the table. According to Freeland, the US needs Canadian energy to achieve the advantage of artificial intelligence. Freeland argues that Canada should be grateful to be a “great partner” who can provide the much needed power to control the AI space.
The story continues
