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News articleYahoo Finance· February 26, 2026

Private credit’s great divide: Imminent crisis or ‘no big deal’

View original at finance.yahoo.com
Private credit’s great divide: Imminent crisis or ‘no big deal’ (Bloomberg) -- Even in the world of private credit, which for months has pitted skeptics against true believers after some high-profile blowups, the difference of opinion has reached new heights in the past week…
Opening lines of the source · Yahoo Finance · short snapshot — read the full document at the original

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • It wasn't a matter of if software problems would emerge, it was just a matter of when. The markets have just woken up

    80% confidence
  • Some software firms may benefit from AI rather than be replaced by it

    80% confidence
  • Private credit could face default rate as high as 15% due to rapid, severe AI disruption in worst-case scenario

    80% confidence
  • Blue Owl is a buy rating amid misinformation around the money manager

    80% confidence
  • The wheels are coming off the car in private credit industry

    80% confidence
  • We're not seeing bad underwriting. It's stable, rational, and performance for the top 10 players continues to be quite good

    80% confidence
  • Private credit is now big enough that it deserves this attention and focus, and it is healthy. Every single industry goes through this cycle

    80% confidence
  • SLR Investment Corp. could be viewed as a safe haven among BDCs due to only 2% allocation to software

    80% confidence
  • Problems in software sector are like a train coming down the tracks that you could see from some distance

    80% confidence
  • This is not that big of a deal. It is definitely not an '08, it has got nothing to do with '08

    80% confidence
  • Financial firms are doing dumb things in risky lending

    80% confidence
  • The push for retail money in private credit rhymes with what happened before the 2008 financial crisis

    80% confidence
  • Axa's exposure to private credit was far below that of rivals

    80% confidence
  • AI is probably the most disruptive technology risk we could have imagined and it absolutely is going to disrupt a lot of software companies. But we still believe strongly that we've constructed a portfolio that will remain highly resistant to this risk

    80% confidence
  • Software companies in Blackstone's portfolio are growing faster, are larger and better capitalized and have more equity cushion beneath them

    80% confidence
  • Blue Owl's decision to halt quarterly withdrawals is a canary in the coal mine for the $1.8 trillion private credit market

    80% confidence
  • Allianz is very comfortable with its position in private credit

    80% confidence
  • Heavily indebted software firms will face refinancing challenges

    80% confidence
  • Annual recurring revenue allowed companies to trade at way too high a multiple

    80% confidence

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Vertical AI Agents Attract a Funding Wave Across Fintech-Adjacent Industries
A cluster of AI-native startups applying autonomous agents to narrow, operational problems — hotel front-desk staffing (Dextr AI), identity/fraud risk for financial institutions (Baselayer), insurance distribution (Napo, Connie Health, MGT Insurance) — closed seed-to-Series A rounds within days of each other in September 2026, with CB Insights running a coordinated CEO interview series to spotlight them. The pattern points to agentic AI maturing from generic chat tools into vertical, revenue-generating products, with identity verification for AI agents themselves (Baselayer) emerging as a new fintech infrastructure category responding directly to AI-driven fraud risk.
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ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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