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Target shifts from casual AI adoption to strategic "running on AI" as token-based pricing forces cost discipline

TL;DR AI

Key summary

2 min read
  1. Target is shifting from broad AI experimentation to a more disciplined, ROI-driven strategy.

  2. Rising token-based pricing from major AI vendors is making large-scale use more expensive.

  3. The retailer is investing more in training, governance, tools, and analytics to guide adoption.

  4. Target’s Bengaluru tech hub is a key part of the company’s AI rollout and support effort.

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