Tariffs and the way organisations adapt to limit their impact conflict with established sustainability and carbon intensity models. However, manufacturers can adapt their carbon intensity models to tariff realities, as Saskia van Gendt, Chief Sustainability Officer at Blue Yonder, explains.
In today’s complex global trade environment, manufacturers are discovering that decarbonising supply chains is deeply intertwined with evolving tariff regimes, regional policies and shifting market dynamics.
For many manufacturers, tariffs disrupt long-standing sourcing and production strategies. Companies that once relied on a specific supplier base or geographic region for recycled, low-carbon, or bio-based materials are now being forced to diversify. However, alternative sourcing locations may lack access to sustainable inputs or clean energy, which increases carbon intensity across operations. As a result, trade policy shifts can directly shape an organisation’s ability to achieve its sustainability targets.
Tariffs also influence the global transition to renewable energy. For example, China has historically been a dominant producer of solar panels, wind turbines and other clean energy technologies. If tariffs or trade barriers restrict access to these critical components, prices may rise and deployment could slow, delaying progress toward renewable energy goals in many regions. Likewise, reshoring manufacturing to the United States or Europe can increase industrial energy demand faster than renewable capacity expansion, temporarily driving greater reliance on fossil fuels and undermining emissions reduction efforts.
This dynamic illustrates a broader truth: tariffs are no longer purely economic instruments. They act as powerful environmental levers that accelerate or impede sustainability progress depending on how companies respond.
Advanced technologies such as artificial intelligence (AI) and supply chain analytics enable manufacturers to navigate this complexity. AI-powered models simulate the environmental and financial impacts of relocating production, factoring in the carbon intensity of regional energy grids, logistics networks and material inputs. Supply chain analytics provide the data-driven insights required to evaluate trade-offs between cost, risk and emissions, allowing manufacturers to make informed, dynamic decisions in real time.
At Blue Yonder, we see many manufacturers integrating digital platforms that connect procurement, logistics and sustainability functions. These technologies help companies reroute shipments, identify alternative suppliers, or adjust factory schedules as new tariffs or policy changes emerge, all while keeping emissions tracking and sustainability metrics visible at every stage of the decision-making process.
Real-world examples already exist in logistics and consumer goods. In logistics, route optimisation tools reduce fuel consumption and emissions while cutting costs. In consumer goods, new tariff structures on fast fashion imports incentivise companies to prioritise higher-quality, longer-lasting materials over disposable products, embedding sustainability directly into their core value proposition.
Procurement practices also evolve to keep pace with tariff volatility. Rather than relying on annual supplier reviews, leading organisations adopt scenario-based planning supported by digital twins and AI-driven risk models. These tools enable procurement teams to assess real-time trade-offs between financial exposure and environmental performance, ensuring that sustainability remains central even amid market disruption.
Ultimately, tariffs highlight the delicate balance between global trade dynamics and environmental responsibility. Manufacturers that use advanced analytics and connected supply chain technologies will navigate uncertainty most effectively, maintaining cost competitiveness without sacrificing long-term ESG commitments. In today’s volatile landscape, digital agility is no longer a luxury; it’s a prerequisite for sustainable growth.
