Generative AI accelerates transformation and sustainability in the packaging industry

A new Smithers report, published as the research partner to the Packaging Innovations & Empack event, positions generative artificial intelligence as a rapid catalyst for change across the global packaging sector. According to the report, GenAI and allied AI systems are already remaking packaging design, production and supply‑chain orchestration , enabling faster product launches, cost reduction, and more responsive supply chains as brands contend with rising SKU complexity, shorter runs and growing demand for customisation.

“Every decade brings a new technology that reshapes the way we work – from the personal computer to the internet, mobile devices, and the cloud,” said Josh Brooks, divisional director – packaging portfolio at Easyfairs. “Now it’s AI. Global investment in AI infrastructure is expected to reach $2 trillion in 2026, and the potential for packaging is immense. From creating personalised designs to optimising production lines, AI gives the industry the chance to rethink how we design, produce, and deliver packaging at scale.”

Industry data cited in the study places the global packaging market at about $1.2 trillion in 2025, and Smithers frames AI as a multi‑vector enabler: generative models lower barriers to creativity and rapid prototyping; optimisation algorithms reduce material use and right‑size packs; predictive models improve inventory and mitigate operational risk; and computer vision and robotics increase line flexibility without compromising throughput.

Practically, the report envisages integration between GenAI and digital printing, finishing, automated forming machines and intelligent packaging systems. That convergence could drive bespoke graphics and on‑demand visual content, faster dieline and structural iterations, and dynamic packaging formats tailored to single deliveries , capabilities already being trialled by brands and converters responding to e‑commerce fulfilment and micro‑fulfilment strategies. “Packaging Innovations & Empack is where the future of packaging comes to life,” Brooks added. “Visitors will see firsthand how AI, automation, and sustainable solutions are shaping every stage of the supply chain, from design and production to delivery. It’s the perfect place to explore innovation, discover new technology, and connect with the industry’s leading experts.”

For industrial decarbonisation professionals, the report’s sustainability implications are salient but nuanced. Smithers highlights AI‑driven “right‑sizing” and waste reduction as clear benefits: optimised pack volumes cut transport emissions and packaging material, while real‑time demand signals , including promotions or weather events , allow production and distribution to be adjusted to minimise excess stock and obsolescence. AI‑assisted line reconfiguration and collaborative robotics support shorter runs and greater product variety without proportional increases in energy use or changeover waste, according to the analysis.

Complementary evidence from other Smithers work and sector events underlines AI’s role in circularity: their 2024 AI and Sustainable Packaging webinar discussed machine learning and computer vision for design optimisation, lightweighting and recycling process improvements. Those capabilities are especially relevant where decarbonisation strategies hinge on material substitution, improved recyclability and closed‑loop logistics.

Emerging research in materials science offers an additional vector for emissions reduction. A recent AI‑driven polymer design study demonstrates how machine learning pipelines can generate and screen thousands of PET‑replacement copolymer candidates by predicting thermal and structural properties at scale. The study identified over a thousand candidate chemistries with PET‑comparable properties, illustrating that AI can accelerate discovery of lower‑impact materials , a development that, if coupled with industrial upscaling, could materially affect lifecycle emissions for packaging reliant on petroleum‑based polymers.

Despite the promise, the report and related coverage underline caveats that matter to procurement and sustainability teams. The quality of outcomes hinges on data integrity, interoperability across legacy equipment and enterprise systems, and capital allocation to digital printing, robotics and inline sensing. There are also workforce considerations: design and operations teams will need new skills to manage AI‑augmented workflows, and organisations must guard against over‑reliance on outputs that have not been validated against regulatory, mechanical and recyclability testing frameworks.

The report projects that by 2025 GenAI will be applied across text, code, images, video and 3D content, with the potential for outputs that rival human designers and developers by 2030. Industry players and event organisers are already moving to showcase use cases: Packaging Innovations & Empack 2026 will explore the impact of GenAI across the supply chain when it convenes on 11 and 12 February at NEC Birmingham. According to the original report, the event will feature demonstrations of AI‑enabled design tools, flexible automation, intelligent packaging and micro‑fulfilment solutions that together illustrate pathways to greater efficiency and lower carbon intensity.

For firms focused on industrial decarbonisation, the takeaway is pragmatic: AI can be a potent enabler of emissions reduction , via material optimisation, tighter inventory and transport efficiencies, and accelerated development of alternative polymers , but real carbon gains require integrated investment in data, process controls, materials science validation and workforce capability. The company claims and academic work outlined in the report point to substantial opportunity, but the scale of impact will depend on how rapidly the sector converts pilots into validated, scalable production practices.