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Defense is operating in an environment where the pace of change continues to increase. Adversaries are adapting quickly and technology development cycles are becoming shorter. The boundaries between physical and digital operations are also becoming harder to define, while military commanders have more information available to them than ever before.

AI has rewritten the enterprise data playbook. Workflows no longer just create temporary operational data, but vast amounts of high-value assets, from LLM training datasets and model outputs to logs, metadata and archived knowledge that may need to be preserved for years.

The vast majority of enterprise leaders are bullish about how ready their organizations are for AI-generated code. However, once that code reaches production, this confidence wavers as incidents arise. This pattern shows up across multiple independent studies in this year alone.

Elon Musk has been at the heart of promoting various companies throughout the 21st century, with two of his most prominent companies anchored in the notion of mass production. In the case of his infamous clunky and angular Tesla Cybertruck, he encountered several difficulties in bringing the prototype to market.