AI Infrastructure

Data infrastructure has overtaken GPU availability as the main obstacle to AI deployment, with 76% of organizations facing legacy systems and siloed datasets. Skills shortages compound the problem: 98% report gaps in IT and data science roles, while 65% have scrapped AI projects for lack of talent. The shift redirects enterprise spending from compute to data platforms and hiring.

AI compute provider Nebius reached $1.25 billion in annual recurring revenue with plans to deploy $16-20 billion in capital expenditures as enterprise AI transitions from testing to production. NVIDIA and Dassault Systèmes formalized a strategic partnership integrating model-based systems engineering into AI chip design. Two companies announced a combined $400 billion in infrastructure investments.

A surge in AI infrastructure investment, headlined by a $1.17 billion CoreWeave deal and SoftBank's reported move on Marvell, is powering top-line GDP growth even as the broader economy stagnates for lower-income households. Federal Reserve officials are holding rates steady as 3% inflation persists, creating an unusual backdrop where enterprise AI buildout accelerates independently of conventional monetary conditions. The divergence is forcing a fundamental rethink of how AI capital flows inter