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The long and the short of IT – the week in digibytes is Diginomica’s recurring roundup of technology news that merits attention but did not receive full analysis. Its topics shift from week to week, so it is best read as a curated briefing—not a product review or buying guide.
What the series covers
Each installment groups short news items, executive remarks, figures and commentary. The selection is not limited to one technology category: recent examples range from enterprise AI and data-center infrastructure to retail, travel and consumer shopping behavior. That variety is the point; there is no permanent shortlist of products or single theme to expect each week.
Diginomica describes the format as “News items from this week that didn’t make the cut for full analysis, but deserve an airing.” Readers looking for deeper reporting on a particular announcement should treat the roundup as a starting point and follow the underlying company statement, survey or fuller coverage where available.
What appeared in the September 4, 2026 installment
Stuart Lauchlan’s September 4 selection paired enterprise technology developments with retail and shopping behavior. It covered NVIDIA and Hugging Face, Dell servers, Lands’ End, and AI-assisted shopping. The mix illustrates why the series’ title refers to a weekly collection rather than a recurring product category.
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NVIDIA, Hugging Face and open development
Diginomica reported NVIDIA CEO Jensen Huang’s statement that Hugging Face had 200,000 enterprise customers, 18 million developers and 3 million models. Those are figures attributed to Huang in the roundup, not independently verified measurements here.
Huang also argued for open development: “When people work in the open, it is safer, it is more secure, the technology advances more quickly.” This is his view of the benefits of open work, not a guarantee that open systems are inherently safe or secure.
Dell’s AI server business
Dell COO Jeffrey Clarke was reported as saying the company had booked more than $130 billion in AI server orders over the prior 12 months. The figure is a company-reported order total, as attributed by Diginomica; it should not be read as independently audited revenue or as a measure of completed deliveries.
The installment also quoted Clarke referring to 1.2 million installed-base assets that are 14th generation or older. He said: “Customers are modernizing their data centers for both AI and non-AI workloads, and the benefits are meaningful.” These remarks describe the company’s perspective on infrastructure demand and modernization.
AI and shopping behavior
Diginomica attributed the following findings to a 2026 Contentsquare survey of 2,000 respondents in the United States and France. They reflect that survey’s respondents and locations, not consumers universally; the underlying report was not independently checked here.
| Survey finding | Share |
|---|---|
| Would trust an AI assistant over a social-media creator when evaluating an unfamiliar brand | 67% |
| Said AI changed their minds about which brand to buy | 47% |
| Said an AI shopping assistant gave information that did not match the brand website | 21% |
| Among respondents reporting that mismatch, said it led them to switch brand allegiance | 23% |
| Among respondents reporting that mismatch, said they would abandon the purchase | 16% |
| Would reconsider purchase intent when AI and website information diverged | 97% |
| Said AI recommendations had influenced real spending | 57% |
| Used AI to find the best price | 53% |
| Used AI for product comparisons | 52% |
| Used AI to find new brands | 29% |
The reported mismatch results are a reminder that an AI assistant can shape shopping decisions while still presenting information that differs from a retailer or brand website. The figures describe reported attitudes and behavior; they do not establish how often AI answers are inaccurate across all shoppers or services.
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How to read the claims
The roundup combines news, quotations and reported statistics, but those forms of evidence are not interchangeable. An executive’s statement is an attributed company perspective; an order figure is not automatically equivalent to delivered sales; and a survey result applies to its stated sample rather than every market. Keep the speaker, source and scope attached to a claim when using it to understand a company’s position or a trend.
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Because the installment’s subjects vary, it does not support a title-wide product recommendation. A buying decision requires a specific product or service, relevant comparison criteria and evidence for that particular choice.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Representative installments show the range
The August 7 installment covered News Corp’s AI content relationships, Yum! Brands’ restaurant technology and Amadeus travel platforms. The July 24 edition addressed network traffic, AI investment and sovereignty themes. Together with the September 4 selection, these examples show that the series spans business technology news rather than following one stable beat.
Quick Recap
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