C3.ai's Investment Challenges, Agentic AI's Role in Business Transformation, and Ethics in AI Governance: Insights from Intuit, Amex, and Globant

C3.ai, a prominent player in AI investment, is known for its plug-and-play AI solutions and has secured significant government contracts. Despite a 25% drop in its stock value this year, the company still demonstrates robust growth, with a 26% year-over-year revenue increase in Q4 of fiscal year 2025. However, its growth rate lags behind other AI competitors, and the company struggles with profitability, posting an over 80% operating loss margin recently. While C3.ai's stock is cheaper than many peers, trading at about 8.6 times sales, its significant unprofitability raises concerns. Investors might find better opportunities elsewhere, as C3.ai's growth does not sufficiently offset the risks associated with its financial stability. (Source)

Keren Katz, an expert in AI and security at Apex Security, highlights the rapid integration of agentic AI in enterprises, which is quickly evolving from passive tools to semi-autonomous agents capable of making independent business decisions. This shift introduces novel risks, such as agents disclosing sensitive information or making decisions without sufficient context, leading to potential financial and operational harm. By 2028, 33% of enterprise software is expected to embed agentic AI, making governance critical. Katz emphasizes the importance of identifying risky intentions, real-time monitoring, and detailed analysis of agent behavior to prevent unintended actions. Executives are urged to implement strategic safeguards to ensure these agents enhance productivity safely, without compromising valuable business operations. (Source)

Agentic AI has emerged as a key technological trend, with Gartner predicting that by 2028, 33% of enterprise software will integrate Agentic AI, affecting 15% of daily work decisions. Unlike traditional AI, Agentic AI systems autonomously handle complex, data-intensive tasks, enabling human workers to focus on creative and strategic efforts. This automation is already impacting industries such as healthcare, finance, engineering, and customer service by enhancing efficiency and innovation. Companies like ValueLabs are leveraging Agentic AI through platforms such as AiDE®, which blends AI execution with human-like planning to streamline processes in IT, HR, finance, security, and more. The shift toward autonomous systems reflects a broader movement toward collaboration between human and AI capabilities, fostering a future where technology not only assists but transforms and enhances traditional business roles. This evolution marks a shift towards "autonomous everything," driving a cultural change in perceiving AI as a powerful augmentative force in business operations. (Source)

Enterprises are increasingly implementing agentic AI, transitioning from experimental phases to practical applications that enhance customer experiences and operational workflows. At VB Transform, Intuit's Ashok Srivastava and Amex's Hillary Packer discussed how their companies use intelligent agents to streamline tasks and decision-making processes. Intuit employs their GenOS platform, a generative AI operating system, to facilitate these advancements across brands like TurboTax and QuickBooks, focusing on efficiency and trust. Amex, leveraging its mature AI infrastructure, focuses on internal productivity tools and has created an "enablement layer" for rapid development while maintaining governance and security through modular "brains" that enforce company policies. Both leaders emphasized the importance of quick iteration, embedded measurement, and governance structures, highlighting that enterprises that treat agentic AI as foundational will be better poised for success in the evolving landscape. (Source)

At the Globant NXT conference, the emphasis was on the ethics and governance of AI, highlighting the importance of observability and transparency to build trustworthy AI systems. Avijeet Dutta, Senior Technical Director at Globant, stressed that ethical monitoring should be mandatory rather than optional, advocating for AI systems that are transparent and fair. He recommended that ethical observability be integral to AI systems, akin to security measures, to prevent "sociopathic bots." Roberto Contreras, Head of AI MX at Globant, underscored the need for rigorous governance frameworks, including the creation of an AI Governance Board to oversee agent deployment, updates, and decommissioning. He suggested that auditing, role assignments, and risk categorization are crucial to align AI agent behaviors with organizational values, emphasizing that without proper governance, AI can lead to uncontrolled and biased decision-making. (Source)