AI servers likely to hit $1.24T by 2030, traditional to surpass $160B: Goldman Sachs

The accelerating demand for AI compute infrastructure is leading to substantial revisions in market forecasts for AI server growth.
A projected market of $1.24 trillion for AI servers by 2030 underscores the massive capital allocation and technological reorientation occurring across industries.
The scale of investment in AI servers, significantly outpacing traditional server growth, indicates a fundamental shift in IT infrastructure priorities and enterprise spending.
- · AI server manufacturers (SMCI, HPE, DELL)
- · Semiconductor companies (GPUs, HBM)
- · Hyperscale cloud providers
- · Data center operators
- · Traditional enterprise IT hardware (relative decline)
- · Companies slow to adopt AI-driven IT strategies
- · Non-AI specialized component manufacturers
Major increase in R&D and capital expenditures by companies manufacturing and deploying AI infrastructure.
Intensified competition for HBM and advanced packaging capacity, exacerbating supply chain bottlenecks.
The sheer compute scale enables the rapid development of new AI applications and models, further accelerating the AI revolution across all sectors.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at Seeking Alpha — Tech