Will A.I. Become the New McKinsey?
The article explores the potential risks of artificial intelligence (A.I.) by comparing it to management consulting firms like McKinsey & Company. It argues that A.I. could concentrate wealth and disempower workers, similar to how McKinsey has been implicated in corporate practices that harm the middle class. The author raises concerns about how to ensure A.I. does not become a tool for evading accountability and exacerbating social issues.
- ▪A.I. is often compared to management consulting firms like McKinsey & Company.
- ▪Both A.I. and McKinsey can be used to cut costs and evade accountability for harmful practices.
- ▪The article questions how to prevent A.I. from becoming a tool that worsens people's lives.
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Story provenance
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Record
| Original publisher | The New Yorker |
| Canonical URL | https://www.newyorker.com/science/annals-of-artificial-intelligence/will-ai-become-the-new-mckinsey |
| Publication time | Thu, 28 May 2026 23:37:52 +0000 |
| Retrieval time | 2026-05-28T23:59:38.815Z |
| Last seen | 2026-05-28T23:59:38.815Z |
| 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 | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| 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 |
Rights status (four layers)
WeSearch handling by dimension
| 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
Annals of Artificial IntelligenceWill A.I. Become the New McKinsey?As it’s currently imagined, the technology promises to concentrate wealth and disempower workers. Is an alternative possible?By Ted ChiangMay 4, 2023Illustration by Berke YaziciogluSave this storySave this storySave this storySave this storyWhen we talk about artificial intelligence, we rely on metaphor, as we always do when dealing with something new and unfamiliar. Metaphors are, by their nature, imperfect, but we still need to choose them carefully, because bad ones can lead us astray. For example, it’s become very common to compare powerful A.I.s to genies in fairy tales.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The New Yorker.
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