AI and the ‘skinny hamburger, fat bun’ problem — why the future of work needs to look more like a pizza
George Leimer recognized it immediately.Recommended Video On a recent call with the Yahoo Finance product chief, I pulled up a slide that looked like two burgers, side by side, to represent eras of work before and after AI. The slide came from Arvind Narayanan, a Princeton computer scientist who just keynoted the International Conference on Machine Learning in Seoul. In his illustration, the burger on the left, labeled “Traditional,” shows a thick patty — the execute layer of work, the coding and debugging — sitting between modest buns.
- ▪George Leimer recognized it immediately.Recommended Video On a recent call with the Yahoo Finance product chief, I pulled up a slide that looked like two burgers, side by side, to represent eras of work before and after AI.
- ▪The slide came from Arvind Narayanan, a Princeton computer scientist who just keynoted the International Conference on Machine Learning in Seoul.
- ▪In his illustration, the burger on the left, labeled “Traditional,” shows a thick patty — the execute layer of work, the coding and debugging — sitting between modest buns.
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| Original publisher | Fortune |
| Canonical URL | https://fortune.com/2026/07/27/ai-future-of-work-skinny-hamburger-talking-about-work/ |
| Publication time | Mon, 27 Jul 2026 06:00:00 +0000 |
| Retrieval time | 2026-07-27T06:35:58.961Z |
| Last seen | 2026-07-27T06:35:58.961Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| 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 | Giy7pvGYDVYR · 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
George Leimer recognized it immediately.Recommended Video On a recent call with the Yahoo Finance product chief, I pulled up a slide that looked like two burgers, side by side, to represent eras of work before and after AI. Leimer leaned in. “It’s totally that,” he said. The slide came from Arvind Narayanan, a Princeton computer scientist who just keynoted the International Conference on Machine Learning in Seoul. In his illustration, the burger on the left, labeled “Traditional,” shows a thick patty — the execute layer of work, the coding and debugging — sitting between modest buns. On the right, labeled “With AI,” the patty has shrunk to a sliver. The buns — “decide” on top and “deliver” on the bottom — have swollen in size.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Fortune.
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