In this article, we discuss 8 AI news and ratings investors should know about.
According to a report by market.us, the global agentic AI market is projected to grow from $5.2 billion in 2024 to $196.6 billion by 2034, with a CAGR of 43.8%. North America led the market in 2024, accounting for over 38% of revenue at $1.97 billion, while the U.S. market reached $1.58 billion.
The report states that the rising demand for improved efficiency and reduced human error is driving adoption, as businesses seek AI solutions to handle complex workflows and data-intensive tasks. Around 90% of companies expect agentic AI to impact their market standing within five years, aligning with Deloitte’s findings that firms using AI for strategic decisions see 15% higher market share and stronger growth.
Challenges and Opportunities in AI Agent Development
Grace Isford of Lux Capital discussed the evolving role of AI agents in a Bloomberg Technology interview with Caroline Hyde and Tim Stenovec, especially in enterprise applications like coding, customer support, and sales. She highlighted companies such as Maven AGI, which improves efficiency by integrating AI with legacy systems to resolve customer issues more quickly and affordably. However, AI agents still face challenges in areas requiring proprietary workflows, such as robotics and manufacturing, where integration remains complex.
Isford also talked about the consumer side and said that AI agents struggle with compounded errors, making seemingly simple tasks, like booking a flight, frustratingly difficult. Despite the dominance of major tech firms, smaller companies like TogetherAI are carving out opportunities by developing open-source AI solutions and using more cost-effective computing resources.
Isford also discussed global AI innovation, pointing to advancements in China, Japan, and France, where companies focus on efficiency and smaller AI models. She noted that China’s Deepseek AI demonstrated impressive hardware and engineering efficiency, influencing global AI development strategies. In the U.S., she sees increased investment in AI startups, especially in robotics, defense, and manufacturing, as the industry adapts to new technological and geopolitical dynamics.
For this article, we selected AI stocks by reviewing news articles, stock analysis, and press releases. We listed the stocks in ascending order of their hedge fund sentiment taken from Insider Monkey’s Q4 database of over 1000 hedge funds.
At Insider Monkey we are obsessed with the stocks that hedge funds pile into. The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (see more details here).
8. POET Technologies Inc. (NASDAQ:POET)
Number of Hedge Fund Holders: 4
POET Technologies Inc. (NASDAQ:POET) develops and sells optoelectronic solutions, including its Optical Interposer platform for integrating electronic and photonic devices.
On March 20, POET Technologies (NASDAQ:POET) announced that it has delivered sample shipments of its POET Infinity optical transmit engines for 400G and 800G AI applications to three global technology firms. The samples, including 400G FR4, 800G 2xFR4, and 800G DR8 formats, were assembled in Malaysia and will enable customers to complete pluggable transceivers for qualification, with production orders expected in late 2025. According to the management, POET emphasizes its cost, reliability, and efficiency advantages in optical networking. Furthermore, the company has initiated a one-month trial with IR Agency, LLC to improve investor relations, with a $250,000 service contract.
7. Domo, Inc. (NASDAQ:DOMO)
Number of Hedge Fund Holders: 18
Domo, Inc. (NASDAQ:DOMO) provides a cloud-based business intelligence platform that connects people, data, and systems for real-time insights across different devices.
At Domopalooza 2025 (March 18 – 21), Domo introduced Agent Catalyst, a new addition to its AI platform designed to create autonomous AI agents that streamline business processes while ensuring security and governance. Unlike traditional AI assistants, these agents operate independently, adapting to different tasks using large language models.
Agent Catalyst simplifies AI deployment with a four-step framework, allowing users to select an LLM, set instructions, connect to data sources, and integrate tools. Improvements include DomoGPT for secure language processing, FileSets for unstructured data management, a Semantic Layer for understanding the business context, and upcoming AI Assistant and AI Agent Builders for easier AI customization.