AI Empowered PM
The article discusses the evolving role of product managers (PMs) in the context of AI advancements. It highlights three archetypes of PMs: the AI PM, the Developer PM, and the traditional PM, while also addressing the potential obsolescence of the role. The author argues that while AI skills are becoming increasingly important, not all PMs will need deep technical knowledge.
- ▪The AI PM is a product manager with extensive knowledge of AI technologies, but this role may not replace all traditional PMs.
- ▪A recent analysis shows that 1-in-7 open PM positions require AI skills, marking a significant growth in this area.
- ▪The article suggests that AI will become a specialty within product management, similar to fields like security or fintech.
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Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Itamar Gilad |
| Canonical URL | https://itamargilad.com/ai-pm-future/ |
| Publication time | Tue, 19 May 2026 12:45:55 +0000 |
| Retrieval time | 2026-05-19T12:59:57.538Z |
| Last seen | 2026-05-19T13:00:05.897Z |
| 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
3 AI PM Archetypes + 1By Itamar Gilad There’s no shortage of AI hype at the moment and that includes the the future (or lack there of) of product management. In this article I’ll review three PM predictions that are circulating in the product-sphere, and discuss whether they are real or hype. I’ll then discuss a fourth archetype that is rarely mentioned but should be on your radar. The AI PM The AI PM is the product manager AI companies are hiring. It’s a person with deep knowledge of all things AI: LLM training, inference, fine-tuning, RAG, evals, skills, and any other terms that will surely be added over time. Some claim that this type of PM will become the norm, and will eventually displace regular PMs. I feel that’s mostly hype (sometimes propagated by people who sell courses).
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Itamar Gilad.
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