Barclays Raises Arm Holdings plc (ARM) Price Target to $155, Citing Strong AI and Semiconductor Market Position

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We recently compiled a list of the 10 AI News You Should Not Miss. In this article, we are going to take a look at where Arm Holdings plc (NASDAQ:ARM) stands against the other AI stocks.

Insights on AI's Potential and Its Evolving Capabilities

AI is rapidly advancing, with significant strides being made toward achieving more powerful and capable systems. While challenges and limitations have arisen along the way, the field is still evolving and finding innovative solutions to overcome obstacles. As AI systems grow increasingly capable, they are expected to perform tasks with human-level proficiency which can create new opportunities for efficiency and problem-solving.

In an interview with CNBC, Dario Amodei, co-founder and CEO of Anthropic, discussed the ongoing developments in AI and emphasized that while past challenges have seemed like barriers, they were often overcome through innovations. He expressed confidence that AI is on track to achieve powerful capabilities in the next few years.

Amodei highlighted Anthropic's progress in creating AI that can autonomously operate computers, which is a step toward the broader goal of building a "virtual collaborator" by 2025, which would assist with different tasks. Regarding competition, he noted that while processing power is crucial, it’s not the only factor, as each AI model has its unique strengths. He mentioned Claude's popularity, especially for its personable interactions, while mentioning a study where Claude outperformed other models in gaining radiologists' trust.

AI in Software Development and the Path to AGI

Amodei's vision for Anthropic also aligns with the rapid advancements in AI that are transforming software development. According to the report: The second wave of AI coding is here, by MIT Technology Review, generative AI is quickly advancing in software development, especially in coding. Tools like GitHub Copilot and AI chatbots such as Claude and ChatGPT are already helping millions of developers with tasks like debugging and code generation. Moreover, startups like Zencoder and Poolside are taking this further as they are creating systems that can prototype, test, and fix code. These tools aim to go beyond autocomplete by understanding both the syntax and functionality of code to mimic the human coding process.

While some believe AI could bring us closer to artificial general intelligence, others argue that large language models are not suited for tasks requiring precise logic. Companies like Merly are focusing on intermediate representations of code to address this. The report states that, as AI tools evolve, developers will increasingly rely on them for faster prototyping, bug fixing, and code generation and shift their roles from coders to managers of AI-driven processes. This could reduce the need for large teams of programmers in the future.