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The article identifies a critical bottleneck for enterprise AI adoption: the often-overlooked cost and complexity of managing data architecture, specifically issues like "data gravity" and regulatory constraints that prevent seamless model deployment across distributed datasets. This structural challenge explains why many high-profile AI pilots fail to translate into measurable financial returns despite significant infrastructure investment.
Sources coveringSiliconANGLE, Latent Space, Salesforce Blog
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

The hidden tax on enterprise AI: Why data architecture is the ROI problem nobody budgeted for

SiliconANGLE7 min read

Many large companies have spent the past few years investing in artificial intelligence infrastructure, software and implementation. Boards approved the plans. Finance built the business cases. Procurement negotiated for computing capacity. One question remained. How would they manage the data underneath those systems? This isn’t the kind of failure that makes headlines yet. There is […] The post The hidden tax on enterprise AI: Why data architecture is the ROI problem nobody budgeted for appeared first on SiliconANGLE.

Many large companies have spent the past few years investing in artificial intelligence infrastructure, software and implementation. Boards approved the plans. Finance built the business cases. Procurement negotiated for computing capacity. One question remained. How would they manage the data underneath those systems? This isn’t the kind of failure that makes headlines yet. There is no major outage, breach or recall. Instead, it is a quiet, compounding drag that appears as unplanned headcount and slipping timelines. Talk to enough infrastructure leaders about what happened and you’ll hear the phrase “data gravity” more than once. The scale of the problem is visible in the numbers. A 2025 report from MIT’s NANDA initiative found that 95% of enterprise generative AI pilots produced little or no measurable impact on the profit-and-loss statement. The report points to gaps in…

Excerpt shown under the publisher's RSS terms · 135 words · full text and figures are on the publisher's site

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