Introduction

Recent AI-tech announcements and the resulting media discussions have reignited interest in the Jevons Paradox. Tech stocks worldwide plunged after the launch of DeepSeek which cost a fraction of rival AI models and require less sophisticated chips.

As costs for AI tools drop, businesses will find it easier than ever to integrate advanced procurement technologies. But do these newfound AI-driven capabilities truly lead to efficiency, or does it instead merely fuel an unwelcome expansion in procurement’s workload? 

In this article, we explore how without proper oversight, AI could be a trap by generating excessive data, unnecessary supplier matches, or flawed recommendations.

The Jevons Paradox and Procurement

Jevons Paradox, (originally observed in the context of coal consumption during the Industrial Revolution) suggests that as efficiency increases, total consumption often rises rather than falls. This paradox has contemporary relevance in various fields, including procurement. 

Here are a few ways that the paradox could manifest

1. Lower costs encourage more procurement – AI-driven analytics help organisations negotiate better deals, making procurement cheaper per unit. As a result, businesses may purchase more than they originally planned

2. Automation expands procurement capabilities – AI speeds up supplier vetting and contract management, allowing companies to handle more suppliers and engage in more transactions

3. Risk reduction leads to more strategic sourcing – with predictive AI models minimising risks, companies may expand their supply chains rather than consolidate them, increasing total procurement complexity

This sounds great on the surface. But… while efficiency gains in procurement are intended to optimise operations and reduce costs, they could paradoxically lead to an increase in procurement activities and resource consumption.

In other words, greater efficiency in procurement may drive more sourcing, more contracts, and more transactions, leading to an unwanted increase in procurement ‘busi-ness’.

Efficiency for greater optimisation

As we’re fairly certain that nobody in procurement wants to be busier, let’s look at how to beat the Jevons Paradox. 

Any efficiency improvements from AI and autonomous sourcing tools need to be used strategically to optimise rather than expand procurement. For example

1. Cost savings can be redirected – instead of fuelling increased procurement, savings from AI efficiencies can be reinvested in sustainability, innovation, or supplier development

2. Strategic supplier consolidation – rather than adding more suppliers, AI can help organisations identify the best partners and streamline supply chains, leading to fewer but stronger relationships

3. Ethical sourcing – AI-powered procurement allows businesses to prioritise ethical sourcing rather than simply increasing purchasing volume

Additionally, AI-driven opportunities will further elevate procurement, transforming its perception from a back-office function to a strategic driver of business impact.

Conclusion: Balancing Efficiency and Expansion

Jevons Paradox presents a valid concern in procurement, particularly when AI-driven efficiency gains result in unintended supply chain expansion, volumes and complexity. 

However, with intentional strategy and governance, AI and automation can be leveraged not for more procurement, but for smarter procurement. Businesses that focus on optimisation can sidestep the paradox and truly benefit from efficiency-driven procurement.

Market Dojo’s sourcing and supplier management software provides the tools needed to turn procurement efficiency into a strategic advantage. By leveraging autonomous sourcing and AI-driven insights, businesses can streamline their supplier selection, enhance negotiation strategies, ensure cost savings, and improve relationships”in short, make smarter procurement decisions.

Need help defining your AI and Automation strategy? Book a tailored demo today to discuss your requirements with our eSourcing specialists.