Welcome to the June 2026 edition of Gordon’s Window with Gordon Donovan. This is your comprehensive guide to the latest shifts and challenges in global procurement and supply chain management. Save your own time reading research when you can get the key takeaways in one place!
Across these recent 2026 reports, three messages stand out:
- Procurement is now operating in constant disruption: geopolitical shocks, volatile supply and shifting trade rules are no longer edge cases but day‑to‑day conditions
- AI, orchestration and new operating models are the main response, with CPOs and CIOs treating platform decisions as long‑term infrastructure choices, not tools
- The gap between top and average performers is now structural: it shows up in purchase-order economics, early‑warning capability, data quality and the way teams manage change
Future resilience and growth will come from contract and data intelligence, AI‑native ways of working, orchestration across systems and joint CPO-CIO governance.
Resilience now depends on commercially intelligent systems: adaptive contracts, AI‑native operating models, orchestrated workflows and early‑warning data, all under joint CPO-CIO stewardship.
Technology choices are converging on orchestration and agentic AI, but the performance gap comes from process design, data readiness, operating model clarity and change management discipline.
For procurement leaders, a coherent playbook would link four moves: harden contracts and governance for volatility, build an AI‑native operating model with clear roles and ProcureOps capacity, pick an orchestration foundation with an explicit AI roadmap, and run an AI‑specific change and data program that tackles work friction and incentives.
WorldCC: Contracting under geopolitical uncertainty
WorldCC’s survey shows 94 percent of organisations experienced geopolitical disruption in the last year, and one-third rated the impact as significant or severe. Yet 69 percent found their contracts offered little help.
The main gaps were price adjustment, risk allocation, and hardship or adaptation mechanisms. Buyers are living with price pressure and continuity risk, while sellers juggle demand volatility, cost increases they cannot recover and cash flow pressure.
Most disruption is still resolved commercially, with both sides renegotiating, absorbing the impact or adjusting terms, and formal disputes are rare, so outcomes depend heavily on relationship quality and governance.
Early warning is the single biggest capability gap: fragmented data, unclear ownership and disconnected workflows mean teams see trouble late and respond slowly.
Image credit: WorldCC
Key takeaway: Design flexibility in price and hardship, assign clear process ownership for contracting, invest in contract intelligence and monitoring, and treat relationship governance as part of your risk model, not a soft add‑on.
Future Purchasing: Designing an AI‑native procurement operating model
A recurring theme I’m hearing at conferences, echoed in this paper, is that past digitalisation did not change outcomes because operating models remained unchanged. AI will repeat that pattern if you only bolt it onto legacy structures.
The paper distinguishes between AI‑enabled (tools available), AI‑powered (AI embedded into parts of the workflow) and AI‑native (processes and roles designed around AI from the start).
The expectation, according to the paper, is that procurement headcount will fall by roughly 44-47 percent as agentic AI matures, with buyers’ transactional workload shrinking while category management and “ProcureOps” roles grow.
Image credit: Future Purchasing
Six operating model dimensions are recast for an AI era:
- Strategy
- Business engagement
- Processes and toolkits
- Data and technology
- Organisation structure
- Capability and mindset
Data quality, integration and orchestration are treated as core design choices, not IT hygiene.
New roles emerge around platform and automation ownership, AI governance and data stewardship, while human work concentrates on judgment, supplier collaboration and complex negotiations.
The practical message is to redesign processes first, choose technology second, shape roles last and plan deliberately for AI literacy, oversight skills and career paths in a smaller but more specialised team.
APQC: The $4 million procurement gap
This short paper shows how basic transaction design still matters. The cost to process a purchase order ranges from about $14 to more than $54 across organisations. At 100,000 POs a year, that produces a gap of roughly $4 million between top and bottom performers.
Top performers handle around 4,000 orders per FTE with a one‑day cycle time, while bottom performers process about 1,619 orders per FTE with 2.5‑day lead times.
Image credit: APQC
The drivers are simple: centralised direct procurement, standardised workflows, automation of inputs and tighter purchasing governance.
For leaders juggling AI and orchestration projects, this is a reminder that transaction efficiency remains one of the fastest ways to free up capacity for strategic work and fund transformation.
Art of Procurement: The state of procurement orchestration 2026
This paper is a thought leadership/market assessment of this now very complex and competitive space.
Orchestration emerged to fix fragmented processes, rigid workflows and static, specialist‑only interfaces; it is now challenging traditional source‑to‑pay suites as the primary platform layer.
Gartner’s inclusion of an orchestration provider in the 2026 Magic Quadrant for S2P signals that the market now sees orchestration as a possible foundation, not just a bolt‑on.
The report suggests CPOs should assess providers on five dimensions: orchestration depth, S2P breadth, AI depth, operational maturity and ability to execute.
Interviews as part of the procurement 100 highlight real trade‑offs. Highly configurable platforms suit complex enterprises but bring heavier implementation and change overhead. Intake‑only tools offer a smooth front door but may lack the depth in sourcing, analytics or payments needed over time. Many deployments involve six to eight integrations, which puts a premium on integration strategy, release discipline and support capacity.
The advice for procurement leaders across functions is to treat orchestration selection as a multi‑year infrastructure decision that will either enable agentic AI and cross‑functional workflows or lock the business into another round of disconnected tools.
As the Economist paper this year noted, data integration is a challenge for organisations seeking to scale up their AI strategy, and orchestration may help them address it.
Gartner: Change management for procurement AI adoption
Gartner found that only about 18 percent of procurement functions are currently seeing return on AI investments, and fewer than one-third of sourcing and procurement employees agree that AI has a positive impact on their work.
The note warns that by 2028, 30 percent of AI projects may fail due to “silent subversion,” where employees do not openly resist but keep working as before.
Traditional change models overload people with messaging about involvement and vision without addressing AI‑specific fatigue and work friction. It’s interesting to note that this year’s Economist paper also identifies change management as a primary blocker for digital transformation.
The authors recommend three moves.
- First, prioritise employee involvement for “big rock” changes, especially role design and how freed‑up capacity will be redirected
- Second, design AI‑optimised processes rather than automating broken ones, using methods such as assumption‑busting sprints and detailed process maps to remove friction before deploying agents
- Third, equip managers as continuous change agents who know when to enable, when to influence and when to sustain change, rather than relying on one‑off communications.
The main takeaway here is that AI success is now as much a people and process challenge as it is a technology one.
ProcureAbility: 2026 CPO-CIO report
This survey of 100 senior leaders shows that 53 percent now see the CPO and CIO as equal partners in technology procurement decisions, up from earlier years when CIOs dominated.
At the same time, 45 percent say the CPO alone leads procurement’s digital transformation agenda, which means many CPOs are still pushing change without full IT partnership.
Joint AI governance between procurement and IT is the most common oversight model, at 46 percent, with data governance and skills gaps the main barriers.
Image credit: ProcureAbility
AI is seen as most effective in invoice processing and payment operations, and in category management and sourcing strategy, where structured data and clear rules give it room to work.
The biggest data‑related obstacle is weak data governance, cited by 36 percent of respondents.
To build AI fluency, 60 percent of organisations are embedding IT or data specialists directly into procurement teams, alongside self‑directed learning and vendor‑supported enablement.
The top priority for the next 12-24 months is balancing efficiency with strategic value, which aligns with the tension you likely see among automation, cost control and growth objectives.
Economist Enterprise: Procurement at a crossroads
The report paints procurement as “central but under pressure.” Cost control has returned as the primary yardstick for the function’s value, with more than half of executives and an even higher share of CPOs and CSCOs naming it as procurement’s main contribution.
At the same time, leaders still expect procurement to manage risk, diversify supply and build resilience as geopolitical shocks and supply chain reconfiguration continue.
Category management is the main vehicle for this, attracting the second‑highest level of digital investment and signalling a shift from pure price‑taking towards structured, risk‑aware portfolio strategies.
Agentic AI dominates the short‑term agenda. Six in ten executives cite digital transformation as the most urgent priority, with AI agents the most sought‑after capability, yet adoption has delivered mixed results so far.
Data quality and integration remain weak spots, and executive confidence in AI’s ability to raise productivity is uneven, even as scrutiny on ROI grows.
Most leaders are cautious: fewer than one in ten want AI to lead most procurement decisions within three years, while nearly half prefer AI confined to tactical, discrete tasks such as invoice processing, leaving strategic calls with humans.
Despite its central information role and frequent reporting line to the COO, procurement’s grip on corporate strategy has slipped.
Confidence in the function’s collaboration with the wider business has fallen from 90 percent to 74 percent in a year, and belief in procurement’s influence on digital transformation and risk management has also declined.
This suggests a credibility gap between the function’s expanded mandate and its current operating capability, especially in analytics and AI execution.
Operating models are in flux. Over the next 12-18 months, many firms plan to use shared services and decentralised setups to support local AI use, but the three‑ to five‑year view points back toward centre‑of‑excellence and centre‑led models, with AI‑enabled decisions concentrated around unified data.
The implied path is experimental and local first, then more centralised and standardised once data, platforms and governance mature.
As always, reach out to discuss more. I’m always happy to hear your thoughts!
