Cost control has reemerged as procurement's primary mandate, according to the 2026 Economist Enterprise Report. The global survey of 2,648 C-suite executives found that 54% now cite cost control as procurement's greatest contribution to the business, up sharply from 43% a year earlier. The shift places procurement at a crossroads, where leaders must deliver savings while managing risk, sustainability, and AI-driven transformation.
Cost control returns to center stage
Persistent inflation, tariff uncertainty, and continued investment in supply chain resilience have pushed cost management back to the top of the executive agenda. Companies are investing in dual sourcing, nearshoring, and inventory buffering to reduce exposure-strategies that strengthen resilience but often raise costs. Procurement is expected to offset those increases elsewhere. At the same time, the function's broader responsibilities around geopolitical risk, sustainability, and digital transformation have not diminished. Teams face a defining tension: delivering savings while fulfilling an expanding strategic role, often without additional capacity or tools.
AI is procurement's digital imperative
Technology is increasingly seen as the way to resolve that tension. In the study, 60% of executives named digital transformation as procurement's top priority for the next 12-18 months, up from 38% in 2025. More than half (56%) identified AI as the primary driver. The emergence of agentic AI is accelerating expectations further, with over 50% of executives planning to implement or evaluate agentic capabilities in the same timeframe. Unlike earlier AI that focused on generating insights, agentic AI can execute workflows-from guided buying experiences to automated purchase order creation-moving procurement beyond recommendations and into action. Yet only 9% of respondents want AI to lead most procurement decisions within three years; human judgment and supplier relationships remain essential. Realizing AI's potential requires connected data, clear governance, and close collaboration across procurement, finance, IT, and operations. Leaders can turn to AI for Executives & Strategy resources to build the knowledge needed to guide AI adoption effectively.
Category management gains importance
As procurement balances cost pressures with broader priorities, category management is emerging as a critical discipline. The report found that category and demand management are expected to receive the second-highest level of digital investment among procurement disciplines over the next three years, trailing only spend and performance analytics. Category leaders now weigh cost, risk, sustainability, and supplier performance simultaneously, a level of complexity that demands better analytics and faster insight-to-action capabilities. The report also found that category strategy has become the third most common source of process delays, behind contracting and sourcing. Success increasingly depends on turning data into confident decisions quickly. Procurement professionals can follow an AI Learning Path for Procurement Specialists to sharpen the analytics skills needed for this shift.
A confidence gap tests procurement's strategic value
Perhaps the most striking finding is a growing confidence gap. While nearly three-quarters of executives still believe procurement collaborates effectively across the organization, that figure dropped from 90% in 2025 to 74% in 2026. Confidence in procurement's role in shaping digital transformation strategy also declined meaningfully over the same period. The numbers reflect a broader shift: as AI democratizes access to data, more stakeholders can question decisions and demand clearer evidence of value. The question is no longer whether procurement belongs at the leadership table, but whether it can consistently deliver across an expanding and increasingly complex set of priorities.
Why this matters for executives and strategy
The report signals that procurement's strategic value is being tested by competing demands. Executives must equip procurement teams with the data foundations, AI tools, and cross-functional support to move from reactive decision-making to proactive intervention. Without that, the function risks becoming a cost-cutting bottleneck rather than a driver of resilience and digital transformation. The leaders who succeed will be those who turn AI and connected processes into faster decisions and measurable business impact.
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