The AI pricing paradox: AI PCs might be the answer to spiralling cloud costs for some, but that doesn't mean cloud computing's days are numbered
A few months ago, my social media was even filled with consumers and knowledge workers grabbing Mac minis to run Openclaw's AI agent locally. A brief overview of how the consumption-based model could lookShashi Upadhyay, Zendesk's President for Products, Engineering and AI, explained the reason behind the shift we're seeing in pricing models – traditional metrics are becoming less relevant and new metrics are emerging. "We believe software value should align directly with customer success, not headcount," he told me in an interview.
- ▪A few months ago, my social media was even filled with consumers and knowledge workers grabbing Mac minis to run Openclaw's AI agent locally.
- ▪A brief overview of how the consumption-based model could lookShashi Upadhyay, Zendesk's President for Products, Engineering and AI, explained the reason behind the shift we're seeing in pricing models – traditional metrics are becoming les
- ▪"We believe software value should align directly with customer success, not headcount," he told me in an interview.
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| Original publisher | TechRadar |
| Canonical URL | https://www.techradar.com/pro/the-ai-pricing-paradox-ai-pcs-might-be-the-answer-to-spiralling-cloud-costs-for-some-but-that-doesnt-mean-cloud-computings-days-are-numbered |
| Publication time | Mon, 27 Jul 2026 17:00:00 +0000 |
| Retrieval time | 2026-07-27T17:01:31.517Z |
| Last seen | 2026-07-27T17:01:31.517Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | erGXCaQI40Dy · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Pro The AI pricing paradox: AI PCs might be the answer to spiralling cloud costs for some, but that doesn't mean cloud computing's days are numbered Features By Craig Hale Published 27 July 2026 AI PCs will bring pricing predictability, but cloud computing remains essential When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Getty Images) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Now that AI vendors have us hooked and using generative and agentic tools, pricing models are shifting.
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