Pharmaceutical supply chains are among the most complex in the world, combining global sourcing dependencies, strict regulatory oversight, temperature-controlled logistics, and geopolitical and cybersecurity risks that make planning, manufacturing, and distribution far more…
Wednesday, March 4, 2026 · Amanda Dyson, VP of marketing, FourKites
As AI agents increasingly automate supply chain execution, companies must redesign talent strategies to prioritize relationship management, critical thinking, and organizational influence rather than traditional process-based operational skills.
Tuesday, March 3, 2026 · Kevin O’Marah, co-founder, Zero100
Global trade wars and geopolitical tensions in 2026 are not breaking modern supply chains, but the rising cost of resilience is increasingly being passed on to consumers, creating price pressure, brand risk, and trust challenges.
APQC research shows that while organizations pursue aggressive AI adoption and Net Zero emissions goals, most fail to account for AI’s energy use and GHG impact—creating a growing disconnect between digital transformation and climate commitments
Supply chains are expanding the use of AI across functions, and that expansion means more data storage and more computation, which all require more electricity use and potentially more greenhouse gas (GHG) emissions during electricity production.
As tariffs, volatility, and compressed launch cycles expose the limits of Tier 1 oversight, procurement leaders are leveraging AI-driven Tier 2 visibility to cut upstream costs, reduce hidden risk, and strengthen resilience.
In a world of constant disruption and exponential data growth, supply chain performance increasingly depends on how quickly leaders can detect change, decide with confidence, and convert decisions into coordinated action at scale.
Futurism often overpromises insight into distant futures while offering limited practical value for the real planning decisions supply chain leaders must make today.
Monday, March 2, 2026 · Dean Alms, chief product officer, Aravo
A review of 2025’s AI predictions shows that while agentic AI and automation advanced in supply chains, data readiness, governance gaps, and third-party risk oversight will determine whether organizations realize real AI ROI in 2026.
In an era of tariffs, geopolitical fragmentation, and macroeconomic volatility, supply chain leaders can create competitive advantage by distinguishing quantitative from qualitative shocks, controlling operational levers, and building resilient, partnership-driven networks…
Thursday, February 26, 2026 · Andrew Byer and Mike Dobslaw
“Bringing the outside in” means shifting supply chain planning and execution from internally driven metrics to real-time, market-based data such as POS, competitive activity, and external events to improve service, stability, and financial performance.
Demographic change, including aging populations, declining fertility, smaller households, and regional workforce fragmentation, is reshaping demand patterns, labor availability, and last-mile expectations, making demography a critical but overlooked strategic variable in…
Despite escalating U.S.–China tariffs and trade sanctions, China’s economy is expanding, global market diversification is accelerating, and rare earth dominance remains a strategic pressure point for American supply chains.
Friday, February 20, 2026 · Mita Gupta, EVP and business unit head, WNS Procurement
CPOs can manage escalating tariff risk in 2026 by using category-level exposure mapping, total cost of ownership analysis, supplier segmentation, and AI-powered modeling to respond proportionally rather than reactively.
Agentic AI is transforming supply chain operations by moving beyond chatbot-style assistance to governed, ontology-backed execution systems that autonomously detect, decide, and act within defined guardrails.
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