Storyline · business · 2 reports from 2 newsrooms

Wall Street firms confront turmoil

First reported Oct 27, 8:08 PM ET · Latest Nov 2, 4:45 PM ET · Explainer updated Nov 2, 5:35 PM ET

Why it was in the Relay Update: Reported by one newsroom so far, less than an hour old when it aired, picked for the Top Stories desk.

Where things stand

Wall Street’s most reviled stocks are outperforming the market’s favored artificial‑intelligence shares, according to MarketWatch, while the Wall Street Journal reports that law firm Weil Gotshal is in chaos, struggling to stop a loss of partners and facing possible bankruptcy.

Continuum

Facts

Facts appear here as Relay matches them to the reports.

Timeline

What changed: MarketWatch notes that the recent slump in AI‑focused equities has created an unusual market situation where “hated” stocks are doing far better than the sector’s darlings.

Every report, newest first

  1. Wall Street’s most hated stocks are faring far better than its favorites — MarketWatch

    The thrashing that Wall Street’s artificial-intelligence darlings have taken over the past few months has led to an unusual situation in the U.S. stock market.

  2. How Weil Gotshal, One of Wall Street’s Most Storied Law Firms, Ended Up in Chaos — Wall Street Journal

    The law firm can’t afford to keep bleeding partners but could find ways to avoid bankruptcy.

Questions

  • It remains unclear whether the outperformance of disliked stocks will persist and what specific steps Weil Gotshal might take to avoid bankruptcy. Open

We send a confirmation first. At most a few emails a day, never overnight, and one click unsubscribes and deletes your address. For readers 13 and over. Privacy

More: background

“AI darlings” refers to companies heavily promoted for artificial‑intelligence growth that have seen sharp price drops, whereas “hated” stocks are those investors have traditionally avoided. Weil Gotshal, a long‑standing Wall Street law firm, is experiencing a rapid departure of partners, threatening its financial stability.

How this works: stories from different newsrooms are grouped by topic, then AI writes the explainer using only those reports. It may miss context the reports don't include.