Examining the Future: Emphasize Agentic AI to Boost Businesses in 2025
In the realm of business innovation, Rodrigo Madanes, serving as the Global Innovation AI Officer at EY, has witnessed a gradual but steadfast embrace of generative AI by numerous firms. While they've been experimenting with integrating AI into their processes, 2025 is expected to usher in a new era of AI technology: agentic AI.
Agentic AI is a groundbreaking advancement that equips AI software agents with the ability to tackle complex problems nearly autonomously. Perched atop a large language model (LLM), agentic AI employs almost human-level cognition for continuous learning and improvement in ever-evolving environments.
This tech marvel will offer enterprises a significant boost in analytical might, enabling them to reason through undefined tasks with minimal human interaction. For instance, a business can ask an agentic AI agent to draft a sales brochure tailored for a specific audience - incorporating the logical steps, editing, and proofreading as needed. In comparison, a GenAI lacking agentic capabilities would deliver a lower-quality output and lack the reflective, chain-of-thought reasoning.
Agentic AI also has the potential to interact with tools and other AI agents, perform tasks under user credentials, and collaborate with other agents for higher-level goals. For example, this technology can interact with back-end systems like CRM or ERP to track orders and respond to customers about their delivery status.
Companies can choose between two options to incorporate agentic AI: buying infrastructure software or purchasing APIs and building their applications. The former option involves leveraging existing agentic framework platforms for handling horizontal tasks, such as improving customer service call efficiency. The latter option, on the other hand, allows businesses to build custom applications that fit their unique workflows.
As enterprises ponder the integration of agentic AI, they should consider the commitment they're committing to, rather than focusing on costs. Furthermore, companies must prioritize compliance and risk management, ensuring security, data sovereignty, and AI regulation compliance.
In conclusion, while businesses continue their work in scaling up GenAI, they should also dedicate their time and resources to exploring the transformative potential of agentic AI. This powerful technology promises to redefine processes across organizations, especially when it comes to collaboration between people and computers, by equipping AI with advanced cognition and problem-solving capabilities.
Businesses around the globe are increasingly adopting agentic AI, recognizing its potential to transform their operations and maintain a competitive edge. This exciting new technological wave heralds a future of improved efficiency, innovation, and market responsiveness.
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[1] Source: KPMG, "KPMG 2021 AI Expectations Study."[2] Source: McKinsey & Company, "The future of automation: How machines will augment human abilities."[3] Source: Forrester, "The Role of AI In Strategic Planning."[4] Source: PwC, "Predictions 2025."
- Rodrigo Madanes, expressing his insights as the Global Innovation AI Officer at EY, highlighted the importance of companies considering agentic AI for 2025, anticipating its potential to revolutionize business processes.
- By 2025, Madanes predicts that businesses can configure their operations by purchasing infrastructure software with agentic AI capabilities, enhancing their competitive edge and fostering more efficient collaboration between humans and computers.
- In the year 2025, companies like Rodrigo Madanes's EY, aiming to stay at the forefront of innovation, may decide to buy infrastructure software with agentic AI functionalities, enabling continued growth and adaptability in the tech landscape.
