How AI Reshapes Global Supply Chain Sustainability

AI has emerged as a critical tool in global supply chains, offering organisations the ability to adapt swiftly to changing environments while addressing growing sustainability concerns.

In today's turbulent geopolitical landscape, supply chains face significant disruption risks. However, AI is helping organisations respond more effectively to mounting demands, though its environmental impact remains a key consideration for industry leaders.

Experts gathered at Sustainability LIVE: The US Summit to participate in a debate on AI innovation, examining both its operational benefits and sustainability implications.

Building resilience through prediction and mitigation

The current global landscape is being constantly redefined, with instability resulting in regular disruptive events.

Initially, supply chains found themselves in a reactive state, unable to build sufficient resilience against these challenges.

AI has now become a core tool for helping global supply chains withstand this pressure, shifting the focus from reaction to prediction and mitigation. By analysing vast amounts of data in real time, AI systems can identify potential disruptions before they occur, allowing organisations to implement contingency plans and alternative sourcing strategies proactively.

This predictive capability extends beyond simple forecasting.

AI can model complex scenarios, accounting for multiple variables simultaneously – from weather patterns and political instability to supplier financial health and transportation bottlenecks.

This level of analysis would be impossible for human teams to conduct manually within actionable timeframes.

As global demand increases and supply chains grow more complex, procurement and supply chain leaders have become central to driving resilience.

Yet they face immense pressure to achieve more with reduced funding, as rising inflation and tariff pressures have increased costs significantly.

AI has entered the market as a means to allow these leaders to accomplish more with less, handling time-consuming manual tasks at a fraction of the speed and resources while allowing human teams to focus on decision-making and customer relations.

The technology enables cost-cutting without compromising quality, as automated systems maintain consistency and accuracy while processing routine tasks such as invoice matching, order tracking and inventory management.

Leaders gathered at the AI Innovation Debate, held in association with Zip, to discuss how innovation in AI has impacted their operations and its future potential.

Environmental impact and energy consumption

The global adoption of AI has attracted both supporters and sceptics.

While it can be used to drive sustainability initiatives and support value chains, the speed of its adoption has created environmental concerns.

Data centres are being utilised at greater capacity than ever, consuming substantial amounts of water, energy and coal.

However, experts at Procurement and Supply Chain LIVE say that AI does not consume more resources than manual processes would, rather that consumption occurs over a shorter period.

The resources, panellists say, would be used regardless.

The compressed timeframe of AI processing simply makes the consumption more visible and concentrated.

"They're using more coal, but they're also using more wind and more solar for all of these data centres," says Dr Alyson Freeman, Director of Data Centre Sustainability at Dell Technologies.

"Where we are in trying to make this AI transition is we need every bit of energy available. We need to be looking at how do we do carbon capture as a short-term solution? How do we get to the longer term truly sustainable energy choices? In the long run, I believe there are definitely ways that we will move AI to being compatible with our lives and our planet and sustainability. And AI can actually be part of this solution."

Dr Freeman emphasises that the technology sector is actively investing in renewable energy infrastructure to support data centre operations, with many major providers committing to carbon neutrality targets by 2035.

Workforce transformation and human oversight

Another central concern for AI implementation involves its effect on the workforce.

The technology is viewed as a double-edged sword, particularly when addressing labour gaps.

Many industries currently face workforce shortages and skills gaps, which AI is helping to fill while ensuring supply chains continue operating.

Sceptics worry this could lead to workforce displacement, as the technology can operate longer, without breaks and more efficiently than human workers.

Panellists addressed this concern, saying that AI aids jobs rather than replacing them entirely.

Luhua Xu, AI Product Marketing Lead at Zip, says: "I think in the short term, people are worried about AI taking their jobs. But if you look at the long term, and if you look at history, this is just like another industrial revolution. It's not going to replace our job entirely anytime soon. When we're seeing agents that we're deploying today, it helps you do your job better and in a more productive way. Ideally, you'll still need human oversight at the end, and that just cannot be replaced by AI today. It's helping you to transform your four hours of work to maybe two to three hours. And then you can also spend time doing the more strategic work at the end."

Building resilience through prediction and mitigation

The current global landscape is being constantly redefined, with instability resulting in regular disruptive events.

Initially, supply chains found themselves in a reactive state, unable to build sufficient resilience against these challenges.

AI has now become a core tool for helping global supply chains withstand this pressure, shifting the focus from reaction to prediction and mitigation. By analysing vast amounts of data in real time, AI systems can identify potential disruptions before they occur, allowing organisations to implement contingency plans and alternative sourcing strategies proactively.

This predictive capability extends beyond simple forecasting.

AI can model complex scenarios, accounting for multiple variables simultaneously – from weather patterns and political instability to supplier financial health and transportation bottlenecks.

This level of analysis would be impossible for human teams to conduct manually within actionable timeframes.

As global demand increases and supply chains grow more complex, procurement and supply chain leaders have become central to driving resilience.

Yet they face immense pressure to achieve more with reduced funding, as rising inflation and tariff pressures have increased costs significantly.

AI has entered the market as a means to allow these leaders to accomplish more with less, handling time-consuming manual tasks at a fraction of the speed and resources while allowing human teams to focus on decision-making and customer relations.

The technology enables cost-cutting without compromising quality, as automated systems maintain consistency and accuracy while processing routine tasks such as invoice matching, order tracking and inventory management.

Leaders gathered at the AI Innovation Debate, held in association with Zip, to discuss how innovation in AI has impacted their operations and its future potential.

Environmental impact and energy consumption

The global adoption of AI has attracted both supporters and sceptics.

While it can be used to drive sustainability initiatives and support value chains, the speed of its adoption has created environmental concerns.

Data centres are being utilised at greater capacity than ever, consuming substantial amounts of water, energy and coal.

However, experts at Procurement and Supply Chain LIVE say that AI does not consume more resources than manual processes would, rather that consumption occurs over a shorter period.

The resources, panellists say, would be used regardless.

The compressed timeframe of AI processing simply makes the consumption more visible and concentrated.

"They're using more coal, but they're also using more wind and more solar for all of these data centres," says Dr Alyson Freeman, Director of Data Centre Sustainability at Dell Technologies.

"Where we are in trying to make this AI transition is we need every bit of energy available. We need to be looking at how do we do carbon capture as a short-term solution? How do we get to the longer term truly sustainable energy choices? In the long run, I believe there are definitely ways that we will move AI to being compatible with our lives and our planet and sustainability. And AI can actually be part of this solution."

Dr Freeman emphasises that the technology sector is actively investing in renewable energy infrastructure to support data centre operations, with many major providers committing to carbon neutrality targets by 2035.

Workforce transformation and human oversight

Another central concern for AI implementation involves its effect on the workforce.

The technology is viewed as a double-edged sword, particularly when addressing labour gaps.

Many industries currently face workforce shortages and skills gaps, which AI is helping to fill while ensuring supply chains continue operating.

Sceptics worry this could lead to workforce displacement, as the technology can operate longer, without breaks and more efficiently than human workers.

Panellists addressed this concern, saying that AI aids jobs rather than replacing them entirely.

Luhua Xu, AI Product Marketing Lead at Zip, says: "I think AI will not replace our job entirely anytime soon. When we're seeing agents that we're deploying today, it helps you do your job better and in a more productive way.

"Ideally, you'll still need human oversight at the end, and that just cannot be replaced by AI today. It's helping you to transform your four hours of work to maybe two to three hours. And then you can also spend time doing the more strategic work at the end. So that's what I see in the short term. In the long term, I think that's the scepticism that comes with every new technology and every new product. There will always be questions around, will we lay off people with industrial revolution or with AI?

"It's the same question. But then hopefully as human beings in general, we get to the future that we do less manual work in general and we can spend time on more meaningful things."

Luhua's comparison to previous industrial revolutions highlights a pattern throughout history: technological advancement typically creates new categories of work while automating routine tasks, rather than eliminating employment altogether.

The debate continued exploring how AI can work alongside employees to enhance efficiency.

Dr Jutta Pils, Global Head, Digital & Agentic Innovation & Sustainability Strategy at DuPont, said that employees must adapt to and embrace the technology to remain competitive in their fields.

"So my only advice is AI is not taking your job," she says.

"Even if you're an administrative person, it's not taking your job. AI would contribute to your job, but you have to learn it in your area. If you're administrative assistant, learn the tools to manage more people in your company, learn the tools to have more workflows in your company, make your human knowledge relevant and use AI to emphasise and grow.

"So it doesn't necessarily need to get rid of people, but naturally it's leadership and also your own drive."

Panellists also say that AI could create additional jobs while maintaining a human-in-the-loop approach.

This methodology ensures that while AI handles data processing and pattern recognition, human professionals retain ultimate decision-making authority, particularly for complex or sensitive situations.

By applying AI to manual and repetitive tasks, businesses waste less time on behind-the-scenes work, enabling stronger customer-focused interaction and building confidence in decision-making.

The human-in-the-loop approach recognises that AI excels at specific, defined tasks but lacks the contextual understanding, ethical reasoning and relationship-building capabilities that human professionals bring to their roles.

This collaborative model proves particularly valuable in procurement and supply chain management, where decisions often require balancing multiple stakeholders' interests, understanding cultural nuances in international partnerships and exercising judgement in ambiguous situations.

AI provides the data and analysis; humans provide the wisdom and strategic direction.

"How much of [the fear is] similar to the dot com bubble where what you're seeing is AI is coming in and businesses that maybe weren't adding as much value are suffering? In the industrial space, we've got a while. Vontier is critical infrastructure in almost every country we operate in," adds Rasha Hasaneen, Chief Innovation & Growth Officer at Vontier.

"There's not going to be a situation where you don't have a human in the loop when you're talking about the energy infrastructure of a country or the retail infrastructure of a country.

"Our customers were the ones that had to be open during COVID. And so in those situations, we're going to be slower to adopt AI in mission critical operations, faster to adopt AI, to reduce non-value added work.

"We're going to have a pretty good runway where we still have humans in the loop. We still need that expertise, that decision making, that accountability to ensure that the critical infrastructure remains intact. Maybe over time, there will be less of a need for as many people doing a specific job, but it doesn't mean that there aren't additional jobs that would be created."

Rasha's experience demonstrates that AI implementation, when done thoughtfully, can actually expand workforce requirements while simultaneously improving operational efficiency and resilience.

The debate focused on addressing industry concerns regarding both environmental impact and job security, while acknowledging that properly implemented AI can work closely with human workforces to ensure efficiency, productivity and sustainable operations.

The consensus amongst panellists was clear: AI represents a transformative tool that, when deployed responsibly with appropriate human oversight, can strengthen supply chains while creating new opportunities for workforce development and strategic value creation.