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INTRODUCTION
Based on insights from 267 C-level automotive executives. More than two-thirds of surveyed automotive organizations remain in fragmented stages of AI implementation — reporting domain-specific deployments, pilot programs, or early exploration. Integration complexity across hardware, software, and edge environments — combined with uneven AI literacy and strict safety and latency requirements — is slowing enterprise-wide scale, even where strategic intent is strong. Our experience with automotive clients at HTEC mirrors these findings. Strong ambition to operationalize AI across ADAS, manufacturing, and connected vehicle services is consistently constrained by the challenge of moving from fragmented pilots to production-ready, system-wide deployment.
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