L'intelligence artificielle au service de la durabilité

AI and other monitoring methods allow near real-time, transparent validation of carbon results, while strengthening disaster preparedness and enabling anticipatory action — saving lives, reducing costs, and building community resilience.

We are on the verge of absolute irreversibility of climate change. It’s really now that it’s being decided. In this decisive moment, the tools we choose to develop and deploy — including artificial intelligence — will inevitably shape our capacity to anticipate, to act, and ultimately to remain within planetary boundaries. In my eyes, we have no choice but to find a model of economic development compatible with those boundaries.

AI is becoming an enabler across every major sustainability objective, from lowering emissions and improving resource efficiency to strengthening the resilience of essential systems like food, water, and even how we live in cities. AI helps us optimize how we produce and consume energy, manage natural resources, and operate entire value chains more efficiently.

Artificial intelligence does not embody the thinking of an individual, but rather humanity’s collective intelligence; therefore, the ethical and governance issues arising from its application must be approached with great care.

From a national strategic perspective, AI can support data-driven decision-making across upstream, midstream, and downstream operations by improving resource planning, forecasting demand, optimising infrastructure utilisation, and reducing operational losses.

All sectors in Saudi Arabia, we’re always using artificial intelligence technology — especially environmentally, in water processing, and also in agriculture.

AI-powered predictive dispatch on the supply side can reduce wasted wind and solar power and improve coordination between distributed resources such as solar PV and energy storage and the main power grid. On the demand side, AI can identify energy saving opportunities in industrial and other settings and speed up the shift to lower carbon energy use. Deeper integration of AI with energy management systems can deliver three benefits for companies: accurately identifying energy efficiency bottlenecks, intelligently optimizing resource allocation, and reducing energy costs and total carbon emissions.

AI can help increase the vehicle utilization ratio and provide optimized routes based on commercial needs and fuelling/charging stations, which could increase operation efficiency, reduce the energy consumption, improve the service quality, helping turn EV trucking from ‘possible’ into ‘productive, efficient, and reliable’.

AI can automate and monitor trade compliance, tracking carbon, water, and energy, so companies can meet audit and certification requirements with less red tape.

In the face of increasingly complex international green trade barriers such as the EU’s CBAM and battery passport, many export-oriented SMEs are trapped in a compliance dilemma of ‘not knowing what to do’ and ‘not being able to do it’. Siemens, in collaboration with leading innovators, lowers these barriers through technological innovation, delivering inclusive solutions that significantly reduce both technical complexity and adoption thresholds for enterprises.

Australia can be sort of pro innovation and pro integrity, by scaling obligations with risk and impact, but by still keeping our guardrails compatible with our norms.

Artificial intelligence is not our master, but a tool for humans to improve people’s lives—happier, healthier, better educated, with more jobs and more fun.

AI is not the desired result; it is the enabler. Developed thoughtfully, it can become shared infrastructure — scalable for institutions and transformative for people.

Innovation in climate finance and market mechanisms is essential to ensure credible and sustainable technology transfer. AI-enhanced transparency enables investors to distinguish substantively low-carbon projects from narrative-driven claims, reducing greenwashing risk and strengthening the integrity of sustainable finance.