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IDC

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EVENT TIMELINE

5

MONEY · 1 SOURCE · MIT Technology Review AI

WD/IDC white paper: AI inference is inflating storage needs and costs

A WD‑sponsored IDC white paper and WD internal measurements highlight that AI inference generates large persistent back-end data that dramatically increases storage footprints and operating costs—an 8‑second, 720p (3.97MB) clip produced roughly 500MB of associated backend data (≈130× the delivered file). McKinsey projects inference demand will grow at a 35% CAGR through 2030, IDC survey respondents (n=763) largely reported rising data volumes (≈95% saw increases; ≈61% saw ≥25% growth) and 96% expect faster archive retrieval will be needed for inference/RAG workflows.

6.0

MONEY · 1 SOURCE · Ars Technica

PC shipments plunge about 20% in Q3 2026, steepest Q3 drop on record per IDC and Omdia

Analysts report a steep decline in global PC shipments in Q3 2026: IDC says shipments fell 20.1% year‑over‑year to 62.7 million units, while Omdia reports a 21.2% drop to 58.1 million. Firms cite elevated inventory, higher component and memory prices and reduced production, with analysts linking part of the supply squeeze to surging demand for HBM and server DRAM for AI workloads.

7.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Amazon publishes component-level prompt-engineering guidance for Amazon Quick

AWS documentation provides component-by-component prompt-engineering patterns and pitfalls for Amazon Quick, covering Quick Research, Quick Flows, and Quick Sight. It emphasizes specificity, structured objectives and numbered steps, recommended source selection (Quick Index, 200+ news outlets, S&P Global, FactSet, IDC, PubMed, patent data), and using the Quick Flows agentic runtime for iterative refinement.

4.0

COMPANIES · 1 SOURCE · Cohere

Cohere explains the 'Total Cost of AI Ownership' and enterprise trade-offs

Cohere published a blog post framing 'Total Cost of AI Ownership' (AI TCO), walking through visible (token pricing) and hidden costs of running AI at scale and advising enterprises how to decide which capabilities to own versus rent. The post highlights token economics, model-call chains, infrastructure utilization, references Gartner's $2.52 trillion 2026 AI spending projection, and uses examples (e.g., Uber) to illustrate how AI usage can rapidly increase costs.

6.0

RESEARCH · 1 SOURCE · Cohere

Cohere commissions IDC InfoBrief on 'Sovereign AI' adoption and finds mixed understanding among enterprise leaders

Cohere commissioned IDC to produce an InfoBrief on sovereign AI adoption among senior decision-makers in regulated industries. The study reports rising urgency around controlling AI infrastructure but widespread confusion over the term — one in three leaders struggled to define sovereign AI, while among those who could, 52% framed it as national/local control and 35% as digital independence — and Cohere highlights its North platform as a private-deployment option to retain local control.

6.0