Supply Chain Now• Mar 9, 2026• 40:16Interview

How AI Is Transforming Supply Chain Decision Making in 2026

From Supply Chain Now

Mike Griswold•Vice President Analyst, Gartner

Executive Summary

The immediate value of AI in supply chain is human augmentation, enhancing decision-making rather than achieving full automation.
The industry is moving past 'AI theater' and proofs-of-concept to deploy AI for solving specific, real-world problems with measurable outcomes.
While AI solves the problem of processing vast amounts of data, it introduces a new risk of 'analysis paralysis,' requiring human judgment and clear frameworks to translate insights into action.
A 'wait and see' approach to technology investment is increasingly risky, as companies that delay risk a significant competitive disadvantage.

11 quotes

Concerns Raised

Companies adopting a 'wait and see' approach to technology risk falling into a significant competitive disadvantage.
AI's power can lead to a new form of 'analysis paralysis' if not guided by strong human judgment and clear frameworks.
Sales & Operations Planning (S&OP) meetings often fail by devolving into short-term, tactical firefighting instead of maintaining a strategic focus.
A perceived lack of management support for initiatives often stems from the practitioner's inability to articulate the business value and ROI.

Opportunities Identified

Leveraging AI to solve specific, well-defined business problems for measurable returns.
Using AI as an augmentation tool to enhance human decision-making with greater rigor and clarity.
Elevating the supply chain function from a cost center to a strategic partner that drives business growth.
Improving planning effectiveness by separating strategic S&OP processes from tactical S&OE (Sales & Operations Execution) processes.

Key Themes

AI's Practical Application in Supply Chain

The conversation highlights a significant shift from speculative 'AI theater' to the practical deployment of AI to solve specific, tangible business problems. Leading companies are now focused on generating measurable ROI from targeted AI initiatives rather than pursuing broad, undefined technology projects.

This theme matters because it signals a maturation of the market. Businesses can now move beyond hype and focus on building concrete business cases for AI investments that deliver real value in areas like planning and execution.

Augmentation Over Automation

A core point is that the primary, immediate result of AI deployment is augmenting human capabilities, not replacing them. AI tools provide deeper insights and clarity, empowering employees to make better, faster decisions while still owning the final judgment and accountability.

This sets realistic expectations for AI implementation. It reframes the goal as creating a powerful human-machine collaboration, which can improve adoption rates and focus development on tools that support, rather than supplant, human expertise.

The New 'Analysis Paralysis'

While legacy systems were limited by the inability to process data, modern AI creates a new challenge: the ability to ask endless questions and run infinite scenarios. This can lead to a new form of 'analysis paralysis' where decision-making stalls, highlighting the need for human-led frameworks to scope problems and focus on actionable insights.

This is a critical operational risk in the age of AI. It underscores that technology alone is not a solution; organizations must develop the discipline and processes to harness AI's power without getting lost in a sea of possibilities.

The Strategic Evolution of Supply Chain

The perception of the supply chain function has evolved significantly post-COVID, moving from a tactical, execution-focused cost center to a strategic partner for driving business growth. Leading companies now view their supply chain as a source of competitive advantage and are investing in technology and talent accordingly.

This elevated status justifies greater investment in supply chain technology and processes. It also means supply chain leaders have a more prominent seat at the executive table, with the responsibility to articulate how their function contributes to overall corporate strategy.

The Risk of Technological Inaction

The speakers warn against a passive 'wait and see' approach to adopting new technologies. In the current environment of rapid innovation, companies that hesitate to invest risk falling significantly behind competitors who are actively leveraging new tools to gain an edge.

This highlights the strategic imperative for continuous evaluation and adoption of technology. The opportunity cost of inaction can be greater than the risk of a failed implementation, forcing companies to be more proactive in their investment strategies.

Get started free

Topics

Supply Chain Management Artificial Intelligence (AI)Human Augmentation Automation Technology Investment Digital Transformation Gartner Supply Chain Strategy Sales & Operations Planning (S&OP)Analysis Paralysis Data Analysis Business Intelligence Manifest 2026 Supply Chain Leadership Risk Management

Processed Apr 2, 2026 yt-dlp + mlx-whisper + Gemini