Capgemini-影响因素-如何利用人工智能实现可持续和可扩展的业务运营（英）

Agents ofimpactHow to leverage AI for sustainable and scalable business operationsIn SummaryThe degradation of our planet – through water waste, biodiversity loss, climate change, and other disruptions – is one of the greatest threats to humanity today. Shifting environmental conditions affect businesses worldwide. In this context, organizations need solutions that address current and future challenges while continuing to drive innovation and competitiveness. Agentic AI offers a breakthrough in sustainability, reshaping digital transformation by enabling organizations to pursue sustainable practices more effectively, efficiently, and at scale. These systems represent a significant shift in how businesses operate. Instead of defining solutions, humans can state the problem while intelligent agents – powered by data, generative AI, and advanced algorithms – research, analyze, and act collaboratively with minimal intervention.iThough eager to implement AI, organizations are concerned about its potentially negative impact on the climate. Our most powerful AI – agentic AI – can in fact be put to work to support sustainability throughout organizations. It can boost everything from planning to reporting, with applications from materials science research to agriculture. Implementation can pose its own challenge, but with expert partners and a full understanding of how to build an effective human-AI framework, the business and sustainability rewards can be substantial.• By driving digital transformation through artificial intelligence (AI), organizations can strengthen resilience, enhance operational excellence, and accelerate progress on key global development goals.• Organizations across the world are facing an enormous challenge: balancing sustainability with competitiveness, in an increasingly uncertain context. While AI can deliver enormous business value, it can also come with steep environmental costs.• However, when implemented strategically with proper guardrails and a robust human-AI framework, agentic AI enables a new model for creating value while embedding sustainability into core business operations at scale.i Capgemini, “Business, meet agentic AI: confidence in autonomous and agentic systems,” May 2025. https://www.capgemini.com/wp-content/uploads/2025/05/Confidence-in-autonomous-and-agentic-systems_19May.pdf 2Agents of impactAI has unfolded in waves, each expanding what machines can do. Early AI systems were designed for precision and repeatability within narrowly defined tasks. Expert systems in medicine, for example, applied symbolic logic to diagnose diseases based on predefined rules, while early spam filters relied on supervised learning to classify emails. These approaches excelled in stable environments but faltered when conditions changed, requiring human retraining and oversight.The emergence of generative AI broke through these boundaries. Flexible, able to draw on large data sets, and requiring less expert human direction, gen