Projected data centre energy use may grow from 415 TWh in 2024 to 945 TWh by 2030, with estimated emissions rising from around 185 Mt CO₂ to 421 Mt CO₂. This shows why AI 系统 should not only be powerful, but also efficient, structured, and properly controlled.
1. 分离式 AI
分离式 AI means AI should not be attached to every single process. Not every task needs an AI model. Some simple tasks can be handled better using automation, formulas, database queries, or rule-based 系统. By using AI only where it adds real value, organizations can reduce unnecessary 系统 load and build a more efficient digital workflow. This supports ESG by promoting smarter resource usage and better operational discipline.
2. 智能路由
智能路由 means every task should be sent to the right 系统. Lightweight tasks should use lightweight 工具, while complex tasks should only use stronger AI models when needed. This approach helps prevent overuse of high-computing resources and allows the 系统 to operate more efficiently. In an ESG context, 智能路由 supports better energy efficiency, cost control, and sustainable technology usage.
3. 分段
分段 means breaking AI work into smaller and clearer parts. Instead of using one large AI 系统 to handle everything, each part can focus on a specific function such as reading data, checking accuracy, categorizing information, suggesting actions, or generating reports. This makes the 系统 easier to monitor, improve, and audit. A segmented AI 系统 is also more transparent, which supports better governance and accountability.
4. 护栏
护栏 are the boundaries that keep AI 系统 controlled and responsible. These can include clear output formats, fact-checking steps, sensitive data controls, and human approval for important decisions. 护栏 help ensure that AI supports human judgment instead of replacing it completely. In ESG, this is important because responsible AI must be safe, explainable, and aligned with proper governance.
良好 AI is not about using AI everywhere. 良好 AI is about using AI with purpose, efficiency, responsibility, and proper control.
