ingest: Stanford SWEPR widening-gap study and AI-in-SDLC adoption pitfalls

Add two new sources with summaries, new concepts (developer-as-agent-manager,
review-is-the-new-bottleneck), new entities (SWEPR, Nikolai Sheiko), and a
query on the Stanford source; update related concept pages, overview, index,
and log.

wiki/queries/2026-07-28-webinar-theses.md

@@ -61,7 +61,8 @@ The audience's real objection is "can I trust it?", and the current script has n
 
 **T7. The gap between AI users and everyone else compounds — and is becoming irreversible.**
 The person who builds their OS this week fears no release, because each capability slots into a system that already knows them. *(Thorsten names **token budget** as a second winner/loser variable, but that is a claim about metered agent-fleet work; for this audience the budget is one consumer subscription — keep the thesis on the skill gap. See [[enterprise-ai-reality]].)*
-— [[2026-07-14-gap-between-ai-users-irreversible]]
+*(Measured 2026-07-30: this thesis is no longer prediction-only — Stanford SWEPR's 46-vs-46-team analysis shows the gap growing 4.8% → 19% (4×) from April 2023 to July 2025. One citable stage line: "Stanford measured it: the gap quadrupled in two years." See [[2026-07-30-stanford-swepr-widening-gap]]. **Added to the script's closing arc 2026-07-30** — T7 is now dramatized, upgrading it from Q&A material to an on-stage beat.)*
+— [[2026-07-14-gap-between-ai-users-irreversible]] · [[2026-07-30-stanford-swepr-widening-gap]]
 
 **T8. The more the world is mediated by AI proxies, the more valuable real human connection becomes.**
 The "market of one" raises, not lowers, the price of being human.