MHI, Deloitte Publish Report
A new report recently released by MHI and Deloitte finds that artificial intelligence (AI) is viewed as the most disruptive technology for the next decade.
The publication, based on a survey of supply chain leaders, reports that a quarter of respondents (24%) categorize AI as transformational and nearly half (48%) consider its disruptive impact to be significant or greater—up 25 percentage points since 2025.
Robotics and automation follow AI as the second most disruptive technology, with 39% rating its impact as significant or greater, up 16 percentage points.
The 2026 MHI Annual Industry Report, “Rewiring the Future: A Supply Chain Playbook for Innovation,” finds that the emergence of AI is causing supply chain leaders to reassess every aspect of their operations, investing not only in advanced digital technologies such as AI, robotics, and real-time analytics but also in their workforce. The report provides new insights into trends and technologies that are transforming supply chains and the priorities of the people who run them.
By focusing on the intersection of business and technology, the report goes beyond tech trends to explore how operational assessments, smart automation, data-driven decision making, and new approaches to talent development can be woven together to “rewire” supply chain performance.
The 2026 MHI Annual Industry Report, “Rewiring the Future: A Supply Chain Playbook for Innovation,” finds that the emergence of AI is causing supply chain leaders to reassess every aspect of their operations.
Innovation Spending Plans
According to this year’s survey, 56% of organizations expect to increase their spending on supply chain innovation with 52% saying they are planning to spend over $1 million. Seventeen percent plan to spend over $10 million. This spending reflects a more disciplined investment approach as companies are stepping back to confirm what problem they’re trying to solve, selecting management, and scenario planning to better justify, control, and scale technology investments.
As a result of these increased investments, adoption of the following 8 categories of technology, covered in the report, is predicted to rise over the next five years:
- Artificial Intelligence – 88%
- Advanced Analytics – 86%
- Cloud Computing and Storage – 85%
- Internet of Things/Sensors – 77%
- Robotics and Automation – 73%
- Wearable and Mobile Technology – 69%
- Humanoid Robotics – 32%
The 2026 report, the thirteenth in a series of annual industry reports published by MHI and Deloitte, provides updates on the innovative technologies that have the most potential to transform supply chains in an orchestrated way that maximizes performance gains while also empowering workers.
Today’s supply chain organizations operate in an environment defined by relentless disruption, volatility, and rapidly shifting market demands. Geopolitical uncertainty, labor shortages, accelerating technology cycles, and elevated customer expectations have converged to make predictability a thing of the past. Strategic priorities now include strengthening risk management, enhancing transparency, enabling rapid fulfillment, and embedding sustainability throughout the supply chain.
“Supply chains can no longer be optimized at the edges,” said John Paxton, CEO of MHI. “They must be rewired end‑to‑end. Only connected, intelligent, and automated real-time networks will withstand the volatility and meet the future customer demands for speed and efficiency.”
The report provides new insights into trends and technologies that are transforming supply chains and the priorities of the people who run them.
AI is the Future of Supply Chain and the Future is Now
AI is already adding value in a wide range of supply chain processes, from inventory management to demand planning to logistics. Moving forward, supply chain organizations will increasingly leverage AI to enhance all aspects of their operations. Agentic AI—which can operate independently with human guidance or oversight—specifically has the potential to quickly eliminate high volume repetitive tasks, proactively address disruptions, enhance forecasting precision, and improve overall visibility within the supply chain.
While leaders are excited about AI’s potential, the survey finds that they are getting stuck on where to start and what it takes to scale. The barriers are real and practical—unclear use cases and automation cost, paired with limited understanding; difficulty building business cases; talent shortages; and budget constraints.
“Those who connect operational excellence, AI-driven orchestration, and workforce readiness into a single playbook will not just withstand disruption; they will convert it into sustained performance and growth,” said Wanda Johnson, Supply Chain Technology Fellow, Deloitte Consulting LLP.
The integration of generative AI, agentic AI, physical AI, and edge AI into operations is ushering in a future where fulfillment and supply chain activities become software-defined, perpetually adaptive, and backed by intelligent orchestration engines. This transformation does not just improve what already exists, it fundamentally changes how challenges are solved, how capital is invested, and how workforce capacity is harnessed.
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