Caterpillar's methodical approach to AI deployment — drawing on hard-won lessons from autonomous mining operations — offers a rare real-world counterweight to hype-driven rollouts, while the robotaxi sector faces sharper scrutiny over its human costs.

Two VentureBeat pieces land a pointed warning for enterprise AI teams: gateway controls are being bolted onto agent deployments that lack the foundational identity and attribution layers those gateways depend on, leaving real exposure to drift, data leakage, and memory poisoning.

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China's humanoid robotics push and Musk's gas-turbine foundry gambit both point to the same underlying tension: compute and energy infrastructure are geopolitical as much as technical contests.

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AI surveillance and AI's role in electoral politics are both drawing sharper scrutiny: Texas froze $30M+ in Flock camera spending amid civil-liberties backlash, while Massachusetts Senate candidates are discovering that AI data-center policy is now a primary-winning (or -losing) issue.

AI agents need their own identity before they need a gateway — Most enterprise AI security conversations start and stop at the gateway layer, but this piece makes the uncomfortable case that the attribution and identity plumbing underneath barely exists yet — meaning today's 'secured' agent deployments are largely theatrical. For any senior leader signing off on agentic AI rollouts, this is the due-diligence read of the week. Read →