Follow the Silicon

Automotive OEM conversations increasingly hinge on semiconductor architecture — which compute platforms are actually being funded, where silicon investment is concentrating, and what those shifts mean for AI workloads and cloud infrastructure.

For AWS teams selling into or partnering with automotive OEMs, understanding these architecture transitions can determine whether you are credible in the room.

This short, analyst-led seminar examines how automotive compute architecture is evolving — and what those shifts signal for cloud demand, AI infrastructure, and account prioritization.

What We'll Cover

The Automotive Compute Transition

Automotive electronics are shifting from distributed systems toward centralized compute architectures. We will explore how these transitions are unfolding across the industry and why centralized platforms are creating larger, more defined AI workloads that map directly to edge and cloud infrastructure.

Where Semiconductor Investment Is Concentrating

Using insights from TechInsights’ semiconductor demand models, we will examine the device-level trends shaping automotive compute platforms, including:

• High-performance automotive SoCs enabling AI inference
• Increasing memory bandwidth requirements for vehicle AI systems
• Silicon carbide power devices driving electrification platform shifts

Each trend has direct implications for cloud workload growth and AI infrastructure demand.

Regional and OEM Adoption Dynamics

Software-defined vehicles and electrification adoption are not uniform across the industry.This briefing will outline how adoption patterns differ across:

• China
• Europe
• North America

Understanding these regional dynamics is critical for identifying which OEM groups are most likely to drive near-term cloud demand.

Why This Matters for AWS Teams

Semiconductor architecture is increasingly the language used in conversations between OEM procurement, engineering, and strategy teams.

TechInsights connects automotive semiconductor demand with the business decisions AWS teams must make every day, including:

• Account prioritization for sales teams engaging automotive OEMs
• Workload sizing for solutions architects designing AI and cloud infrastructure proposals
• Market strategy development for automotive GTM leaders

This session will provide a high-level view of the trends shaping the automotive compute landscape — and how TechInsights quantifies those changes across OEMs, regions, and semiconductor device categories.