(Reuters) -The Trump administration's proposed $100,000 fee for new H-1B visas widely used by tech firms to hire foreign talent could deal a blow to the sector that relies heavily on skilled workers from India and China. The announcement prompted some big tech companies and banks to warn employees to stay in the U.S. or quickly return. India was by far the largest beneficiary of H-1B visas last year, accounting for 71% of approved beneficiaries. Here are some analysts' views on the implications of the ...

Joining me now for a look across the cyber security space and beyond is Steve Kanig, US head of technology research, McQuary US Equity Research. Steve, thank you so much for joining us here at the big board. Good morning, Diane.Thanks for having us. It's good to see you. All right.Um, it feels like we are in such a different place than we were a little more than a year ago with a crowd strike. So, how would you describe just where things stand now and kind of this current state of affairs. Well, we certain ...

Core Insights - The enterprise agentic AI software market is projected to grow from $1.5 billion in 2025 to $41.8 billion by 2030, indicating a significant growth trajectory [1] - Agentic AI is outperforming traditional generative AI, with a projected initial 5-year CAGR (2022-2027) of 90% for generative AI compared to agentic AI's forecast [1] Market Growth - The enterprise agentic AI software market is identified as one of the fastest-growing segments in enterprise technology [1] - The substantial increase from $1.5 billion to $41.8 billion represents a compound annual growth rate (CAGR) that highlights the rapid adoption and investment in this technology [1]

The past week was arguably the most active on the agentic artificial intelligence (AI) front of the year. When you have companies as big as Google, Amazon and Zoom vying for the headlines, it can’t help but be a big week for innovation and adoption.By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions .Complete the form to unlock this article and ...

LONDON--(BUSINESS WIRE)--Tide, the UK's leading business management platform, today announced a strategic investment from TPG, a leading global alternative asset management firm. The investment raises Tide's valuation to $1.5 billion and marks a significant milestone in the Company's growth journey. The funding will accelerate Tide's international expansion, support rapid product development and advance its investment into agentic AI. The primary and secondary investment, which totals over $120. ...

我们正处在一个 AI 技术飞速发展的时代。企业运维 已经从信息时代的效率提升与自动化，经过数字时代 的数据驱动与智能运维（AIOps）崛起，正大步迈向 Agentic AI 时代。 在这一新阶段，智能体的协同作用 将推动运维向更高层次的自主化迈进。华为基于自身 多年的运维实践和经验积累，结合对行业发展趋势的 深刻洞察，正积极推动这一变革的实现。 华为的智能运维理念源于 20 年的 ICT 运维数智化转型 实践。从 1998 年开始引入 ITIL 等业界成熟的管理方法， 到 2012 年启动运维运营的数字化转型，再到今天引入 大模型等 AI 能力，华为一直在运维领域持续创新和突 破。过去几年，自动驾驶网络是华为在电信领域面向 2030 的核心战略，目标是通过数据与知识驱动，实现 网络自动、自愈、自优、自治，使能新业务并实现极 致客户体验、全自动运维、最高效的资源和能源利用。 在技术创新上，我们重点开展多智能体架构和自治系 统研究，目标是围绕网络控制和知识学习两大闭环， 构建单域自治的智能系统。通过突破网络环境感知、 态势分析、多目标决策、行动规划和自学习、自演进 等五大关键技术，我们致力解决网络复杂性的同时增 ...

Core Insights - The article discusses the evolution of AI agents, emphasizing the need for enhanced reasoning capabilities through Tool-Integrated Reasoning (TIR) and Reinforcement Learning (RL) to overcome limitations in current AI models [7][8][10]. Group 1: AI Agent Development - The term "Agent" has evolved, with a consensus that stronger agents must interact with the external world and take actions, moving beyond reliance on pre-trained knowledge [8][9]. - AI systems are categorized into LLM, AI Assistant, and AI Agent, with the latter gaining proactive execution capabilities [9][10]. - The shift from simple tool use to TIR is crucial for agents to handle complex tasks that require multi-step reasoning and real-time interaction [10][12]. Group 2: Tool-Integrated Reasoning (TIR) - TIR is identified as a significant research direction, allowing agents to understand goals, plan autonomously, and utilize tools effectively [10][12]. - The transition from supervised fine-tuning (SFT) to RL in TIR is driven by the need for agents to actively learn when and how to use external APIs [12][14]. - TIR enhances the capabilities of LLMs by integrating external tools, enabling them to perform tasks that were previously impossible, such as complex calculations [12][13]. Group 3: Practical Implications of TIR - TIR allows for empirical support expansion, enabling LLMs to generate previously unattainable problem-solving trajectories [12][14]. - Feasible support expansion through TIR makes complex strategies practically executable within token limits, transforming theoretical solutions into efficient strategies [14][15]. - The integration of tool usage into the reasoning process elevates the agent's ability to optimize multi-step decision-making through feedback from tool outcomes [15].

The announcements from PayPal, Google and Mastercard are about building the infrastructure for agentic commerce when it arrives, Aaron McPherson, principal at AFM Consulting LLC, told American Banker, noting there is not a lot of consumer demand for agentic commerce at this point, but there are "numerous problems to be solved."Mastercard additionally released Agent Sign-Up, which lets the card network's Agent Toolkit users identify AI agents and access AI-enabled Mastercard products. Other products are Insi ...

what we are seeing today in the world. It's taken pretty much the entire world by storm. And let me start by saying AI is not the future of technology guys. Shocked. No, no, no. There is no typo on this. It is the technology of today that's going to shape the future. And I think it's pertinent to say that it's going to pretty much impact every single vertical that exists in our world. It's not just a field of international trade, international business, all the tariff and the non-tariff and all the argument ...

Core Insights - SoundHound AI is currently one of the most expensive stocks in the AI industry, even surpassing Nvidia in valuation, with a stock price increase of over 835% in 2024, but a decline of 21% in 2025 so far [1][2] Company Performance - SoundHound's revenue is projected to nearly double in 2025, driven by increasing demand for conversational AI software [3] - The company generated $42.6 million in revenue in Q2 2025, marking a 217% increase year-over-year, and raised its full-year revenue forecast to $169 million, almost double the $84.7 million from 2024 [8] - Despite revenue growth, SoundHound reported a loss of $74.7 million in Q2 2025, largely due to aggressive investments in acquisitions and operating costs [9][10] Market Position and Opportunities - SoundHound's conversational AI technology is in high demand across various industries, including hospitality, automotive, healthcare, and financial services [5][6] - Financial institutions like BNP Paribas are utilizing SoundHound's Amelia platform for custom AI agents, with the digital labor market potentially worth between $3 trillion and $12 trillion [7] Future Outlook - Analysts predict that SoundHound's revenue growth will decelerate in 2026, with an expected revenue of $214 million, reflecting a 29% growth rate compared to 2025 [11] - The company's stock is trading at a price-to-sales ratio of 43.3, which is a 62% premium over Nvidia's valuation, raising concerns about its sustainability given its startup status and significant losses [12][14] - SoundHound has $230 million in cash and equivalents, but if losses are not reduced, a future capital raise may be necessary, potentially diluting existing investors [15]