Summary:
1. Agentic AI has the potential to unlock $450 billion in economic value by 2028, but adoption is currently limited.
2. Capgemini’s research emphasizes the importance of human involvement and oversight for realizing the benefits of agentic AI.
3. Agentic AI is starting to reshape workflows in IT operations, supply chain management, and customer service, driving efficiency and improving performance.
Article:
Agentic AI, the next major wave of artificial intelligence, is generating excitement for its potential to unlock significant economic value. However, despite estimates of $450 billion in value creation by 2028, adoption of agentic AI remains limited, with only 2% of organizations having scaled its use. A recent report by Capgemini Research Institute highlights the critical role of human involvement and oversight in maximizing the benefits of agentic AI. According to the study, executives believe that the advantages of human collaboration in AI workflows outweigh the costs, with oversight being described as either positive or cost-neutral in most cases.
While the potential of agentic AI is clear, the gap between intent and readiness for deployment is widening, posing a significant barrier to capturing economic value. Despite this, real-world applications of agentic AI are starting to emerge, such as personal shopping assistants that can perform a range of tasks traditionally handled by humans. As AI technology continues to advance, questions arise about the future role of traditional websites, with AI-driven interfaces offering a simpler and more accessible option for users who find navigating busy websites challenging.
To better understand agentic AI, it is crucial to define its capabilities and implications for enterprise IT. According to Jason Hardy, Chief Technology Officer for Artificial Intelligence at Hitachi Vantara, agentic AI is software that can decide, act, and refine its strategy autonomously. The distinction between producing outputs and driving outcomes underscores the significance of agentic AI for enterprise operations.
The adoption of agentic AI is being accelerated by the growing scale and complexity of enterprise operations. With the ability to automate tasks, optimize operations, and respond to threats in real-time, agentic AI is proving valuable in IT operations. Early deployments are demonstrating the technology’s effectiveness in tasks like data classification, storage optimization, compliance reporting, and predictive maintenance.
Looking ahead, agentic AI is expected to reshape workflows in various areas, including IT operations, supply chain management, and customer service. The technology’s ability to anticipate needs, rebalance workloads, and automate maintenance tasks is driving efficiency and improving performance. However, the adoption of agentic AI will require new skills and leadership approaches, with a shift towards oversight and orchestration rather than execution.
In conclusion, the promise of agentic AI is clear, but its successful implementation hinges on balancing autonomy with human oversight and trust. As enterprises navigate the adoption of this transformative technology, the focus on governance, reskilling, and infrastructure readiness will be essential. With agentic AI set to reshape business models and operations, the key challenge for Southeast Asian organizations will be finding the right balance between autonomy and accountability as machines take on more business decision-making responsibilities.
