Operations

The current state

as of

Operations in 2026 is shifting from function-by-function efficiency management to end-to-end orchestration of workflows, capacity, risk, and service outcomes. The function is being reshaped by AI-native planning and execution, persistent geopolitical and climate volatility, and a move toward platform-based, cross-functional operating models that require stronger governance, resilience design, and human-machine coordination.

What’s shaping Operations right now

  • AI-native planning and exception management are replacing spreadsheet-led coordination, forcing operations teams to govern models, workflows, and human override rules.
  • Tariff churn, trade fragmentation, and geopolitical shocks now shape sourcing, inventory, and network design as permanent operating constraints rather than episodic disruptions.
  • Operations is reorganizing around end-to-end value streams like order-to-cash and source-to-fulfill, making cross-functional orchestration more important than silo optimization.
  • Workforce readiness is becoming an operational variable, as flexible staffing, burnout risk, and human-AI teaming directly affect throughput, safety, and continuity.
  • Climate exposure, traceability mandates, and sustainability reporting are pushing operations to embed physical risk, emissions, and supplier transparency into daily decisions.

Skills on the rise and in decline

Rising

  • Scenario-based orchestration

    It is increasingly needed to model disruptions, evaluate trade-offs, and rapidly reconfigure supply, labor, or service flows as volatility becomes continuous.

  • AI workflow governance

    It is becoming a core operations capability as organizations formalize automation boundaries, escalation logic, data quality controls, and override rules for copilots and agents.

Declining

  • Manual coordination

    Integrated platforms automate status chasing, reconciliation, and routine plan generation, reducing reliance on manual coordination and spreadsheet-only reporting.

This week’s brief

Earlier briefs

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Tracked trends

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  • Agentic Supply Planning — Kinaxis is pushing Maestro toward agentic operations, where AI co-workers help planners respond to disruptions, automate analysis, and act faster.
  • Agent Oversight Infrastructure — Vendors are packaging the governance, observability, and policy controls enterprises need to run autonomous agents safely in production.
  • Guardrail-Led Execution — AI twins are turning ports and grids into live operating systems, shifting operations teams from monitoring to policy-setting and exception governance.
  • Unified Trade Data — Operations teams are moving toward one governed data layer that links trade execution with emissions and compliance requirements.
  • Live Digital Twins — Digital twins are being connected directly to live operations, turning simulation into a control layer for faster, safer execution.

Deep dive

What macro trends are shaping operations work in 2026?
Operations work in 2026 is being reshaped by rapid AI and automation adoption, with more planning, forecasting, procurement, and exception handling moving into AI-enabled workflows. Geopolitical volatility, tariffs, and supply chain disruption are pushing operations teams to build more resilient, flexible operating models. At the same time, organizations are redesigning around more agile, networked structures while skills needs shift toward analytics, workflow design, and AI governance. Climate and regulatory pressures are also increasing the importance of continuity planning, compliance, and risk management in day-to-day operations.
What operations practices are gaining traction in 2026?
In 2026, leading operations teams are shifting toward AI-native operating models, where agents and automation handle routine work and support planning, scheduling, and decision-making. They are also moving from siloed functions to platform-based orchestration, using shared workflows, data, and AI across teams, suppliers, and customers. Data-driven decisioning, tighter security and operations integration, and end-to-end visibility across the value chain are becoming standard practice. These changes are also increasing demand for hybrid talent that can combine operations expertise with AI, data, and governance skills.
How has operations work changed in the last 6 months?
In the last six months, operations teams have shifted toward AI-embedded planning, scheduling, and exception handling inside ERP, WMS, TMS, and other core systems. Managers are spending less time building reports and more time reviewing AI-generated recommendations, validating outputs, and handling prioritized exceptions. Real-time supply chain visibility, sustainability and traceability requirements, and tighter frontline automation have also increased the need for faster decision-making and stronger cross-functional coordination. As a result, operations roles now emphasize judgment, governance, and scenario management more than manual coordination and spreadsheet work.
Which operations skills will matter most in 2026?
In 2026, operations practitioners will need stronger data literacy, analytics, and AI fluency so they can interpret KPIs, spot automation opportunities, and work effectively with digital tools. Strategic and systems thinking are becoming more important as operations teams manage cross-functional complexity, supply chain disruption, and trade-offs between speed, cost, resilience, and sustainability. Human skills such as communication, change management, and leadership are also rising in value because operations work increasingly involves coordinating people, processes, and AI-enabled workflows. At the same time, purely manual coordination, repetitive reporting, and narrow transactional operations tasks are losing standalone importance as automation takes over more routine work.
What tools and technologies are reshaping operations in 2026?
Operations teams in 2026 are being reshaped by AI copilots and agents, integrated workflow and orchestration platforms, real-time analytics, and cloud-based workforce and asset management tools. The biggest shift is toward end-to-end systems that connect finance, HR, supply chain, service, and IT so teams can automate routine work and focus on exceptions, governance, and scenario planning. New categories are emerging around multi-agent orchestration, AI-native operations suites, skills-based planning, and human-plus-machine control layers that coordinate work across systems. As a result, operations roles are becoming more about designing workflows, managing data, and overseeing automated decision-making than manually running processes.
What developments signal major change for operations teams?
Major shifts for operations teams are developments that change the operating model, economics, or risk profile of the business, such as moving from product sales to subscriptions, adopting ecosystem-based channels, or redesigning supply chains after major disruptions. They usually require cross-functional changes across finance, sales, IT, HR, and supply chain rather than a local process tweak. Routine noise is incremental tooling, minor process changes, or cosmetic updates that do not materially improve cost, speed, quality, flexibility, or resilience. A good test is whether the change alters how value is created and delivered, or simply helps the current system run a little better.

This week’s Operations openings

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