Target SVP says its real AI moat isn't the models — it's everything built around them

Target says its AI edge comes less from the models themselves and more from the governance, architecture, and monitoring around them.

At VB Transform 2026, SVP Siobhán Mc Feeney said Target decides carefully when to build agents and expands autonomy step by step.

The company tracks lineage, access, and performance continuously to keep AI systems controlled and reliable.

Target is already using agents in supply chain, replenishment, and forecasting, with digital-twin tests helping validate inventory decisions.