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"AI Infrastructure Spending Surpasses Consumer GDP Impact for First Time in History"

The American economy is experiencing an unprecedented shift as AI infrastructure spending contributes $152 billion to GDP versus $77 billion from consumer spending growth. Steve and Claire explore how Microsoft, Google, Amazon, and Meta's record $364 billion capital investment for 2025
is reshaping automotive supply chains, autonomous vehicle deployment, and the entire transportation ecosystem. Featuring analysis of V2X market growth to $89 billion by 2032
, semiconductor shortage risks, and grid capacity challenges.

Target Audience: Automotive executives, mobility investors, technology strategists Primary Keywords: AI infrastructure, automotive supply chain, autonomous vehicles, data center spending Secondary Keywords: semiconductor shortage, V2X technology, smart charging, economic transformation

#AutoIntelligence #AutoAgentic #AI #AgenticAI #automotive #technology #mobility #auto #dealerships #infrastructure #semiconductors #AutonomousVehicles #V2X #SmartCharging

Auto Agentic (www.autoagentic.ai) is an automotive intelligence company architecting how AI actually operates across dealership organizations.

Founded in 2024, Auto Agentic was created to solve a problem no vendor was addressing: automotive didn’t lack AI tools—it lacked intelligence architecture. As features multiplied, coordination worsened, insight fragmented, and transformation stalled.

Auto Agentic exists to change that.

We design agentic intelligence systems that unify operations, coordinate data and workflows, and enable organizations to move from fragmented automation to connected, predictive, and self-improving intelligence.

Our work is built on three foundations:
• the Automotive Intelligence Pyramid
• a coordinated agentic architecture of 75+ automotive-native agents
• and systematic transformation partnerships

Auto Agentic is SOC 2 Type II certified and trusted in regulated environments.

We don’t deliver tools. We build operating intelligence.

We partner with dealer groups and OEMs to architect how intelligence flows across their organizations—creating companies that coordinate rather than hand off, predict rather than react, and build advantages that compound over time.