In this article, we discuss the top 11 AI news and ratings you must take a look at.
AI is experiencing a shift from massive, resource-intensive models to more efficient and accessible alternatives. Sakana AI’s CEO, David Ha, discussed how this transition is shaping the future of AI, highlighting the role of compact models and the broader impact on computing demand on Bloomberg: The Asia Trade. As AI development diversifies, the market is moving away from reliance on a single dominant player, and companies are exploring innovative ways to optimize performance.
The Growing Role of Efficient AI Models in Everyday Technology
David Ha shared his perspective on the AI industry, emphasizing how models like China’s DeepSeek are fueling demand for GPUs. He explained that the traditional approach has been to develop increasingly large AI models requiring significant investments and energy, but companies like Sakana AI are focusing on making AI faster and more efficient. One example is Tiny Swallow, a compact AI model built using Sakana AI’s Tate distillation method, which maintains strong performance despite being 100 times smaller than large models. This model can run entirely on a smartphone or web browser without relying on an API, reflecting a broader trend toward efficient AI solutions in 2025.
Ha compared the current landscape of AI to early computing, where large mainframes eventually gave way to more accessible, optimized technologies like PCs and smartphones. He believes AI will follow a similar path, with smaller, specialized models becoming more widespread. He also expects a future where multiple AI models, including those from DeepSeek, Meta’s Llama, and Sakana AI, will be used across different applications rather than a single dominant player controlling the market.
When asked about Nvidia, Ha dismissed concerns that smaller, efficient AI models could reduce demand for GPUs. Instead, he argued that these advancements will expand GPU usage, especially for inference tasks rather than just training, and attract a more diverse global user base. He believes that the company is well-positioned to benefit from this growing demand for AI compute power.
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 database of 900 hedge funds.
Why are we interested in 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 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).
Top 11 AI News and Ratings You Should Take a Look At
11. BlackSky Technology Inc. (NYSE:BKSY)
Number of Hedge Fund Holders: 7
BlackSky Technology Inc. (NYSE:BKSY) provides geospatial intelligence, satellite-based analytics, and mission systems for global government and commercial clients.
On February 4, BlackSky (NYSE:BKSY) announced that it secured a multi-year contract with EMDYN to provide space-based imagery services for international defense ministries. The partnership will integrate BlackSky’s satellite imagery with EMDYN’s platform, allowing real-time tasking, fusion of signals and intelligence, and faster decision-making. This AI-driven service aims to reduce latency across the tasking-to-dissemination process, delivering actionable intelligence more efficiently. BlackSky’s rapid revisit rates and advanced analytics platform will provide frequent, high-quality data to support tactical operations.
10. AudioCodes Ltd. (NASDAQ:AUDC)
Number of Hedge Fund Holders: 8
AudioCodes Ltd. (NASDAQ:AUDC) provides communication software, VoIP products, and managed services for enterprises, contact centers, and service providers worldwide.
On February 4, AudioCodes (NASDAQ:AUDC) reported Q4 non-GAAP EPS of $0.37, exceeding estimates by $0.14. Revenue reached $61.6 million, down 3.1% year-over-year but surpassing expectations by $0.08 million. The company held $93.9 million in cash, deposits, and investments as of December 31, 2024, down from $106.7 million a year earlier.
AudioCodes CEO Shabtai Adlersberg highlighted strong Q4 performance, driven by growth in main business areas as the company advances its shift toward cloud software and services. Enterprise UCaaS and CX contributed 92% of revenue, with Microsoft-related business growing 13% in the quarter and 6% for the full year, mainly due to a transition to recurring revenue.
Moreover, Adlersberg said that investments in Voice.ai and conversational AI have yielded strong results, with key business units establishing leadership in their markets. Rising demand for AI and Gen AI-driven voice applications and value-added services has expanded opportunities in Voice.ai Connect, Voca CIC, and Meeting Insights. The company expects AI business applications to grow 40% to 50% in 2025.
