Pagaya's AI credit-decisioning infrastructure, which connects lenders with borrowers more efficiently, looks underpriced by a market still figuring it out. Revenue has compounded at roughly 20%+ for years with steady quarterly growth and further acceleration expected. Banks want better underwriting and consumers want credit access, and Pagaya sits in the middle, so the model scales if it executes on expanding partnerships. It remains a higher-risk name with real upside. x.com 

Pagaya may be one of the most misunderstood AI stocks: an AI-powered lending network still priced like a broken fintech. It trades at a single-digit P/E while turning profitable and scaling margins. It is high risk and high beta, with potentially asymmetric upside. x.com 

Pagaya's strong quarter is rightly being ignored by the market, because Treasury yields are threatening to break out, which means more credit risk. @ThothCapital, in the post being answered, highlights a huge revenue beat, net income at the high end of guidance and raised guidance for revenue, adjusted EBITDA and net income. x.com 

Pagaya's operating leverage is kicking in, which supports a rerating if it keeps delivering. It posted a massive EPS beat and raised full-year guidance; priced at 7–9 times its expected $100–150 million net income this year, delivery should rerate the stock. The key metric is markdowns, up 25% year over year against 10% revenue growth and offset by cutting operating and other expenses $8 million. If markdowns keep jumping, it cannot grow revenue without loosening lending standards. x.com 

FICO is trading at its lowest valuation of the decade, about 13x forward earnings for what is essentially a duopoly, which is attractive. @thejmkane counters that it is no longer really a monopoly, but a duopoly at 13x is not so bad. x.com  x.com 

Pagaya is one of the cheapest stocks in the market, but its 15% short float shows the market still expects more downside than upside. Micron is the only name that currently makes financial sense. x.com 

Pagaya is one of the few already-profitable vertical AI applications, and industry-embedded software should gain value even as AI eats generic SaaS. It is fintech infrastructure, not a lender: AI credit decisions lift approvals for bank, auto and POS lending partners, while its ABS and forward-flow funding absorbs the loans. Its edge is data scale and deep credit-workflow embedding, not its static models. Risks include the credit cycle, ABS liquidity, regulation and partner concentration. x.com  … Show more

FICO's moat is starting to get disrupted, and the premium multiple holders once defended has not held up. Two years ago the stock traded at 80x EPS on the argument that a high-quality compounder with a moat deserved it; that multiple has since compressed by about 80%. FICO would need to rise 280% to regain its all-time high, and there is a good chance it never does. x.com  x.com  x.com 

Pagaya is still a credit business with a questionable moat, even if execution is good. There are too many world-class businesses out there to spend time convincing yourself an average one is exceptional; a proprietary model and a P/E of 4 do not make a wide moat. x.com  x.com 

Pagaya looks mispriced at $12: the AI lending platform just closed a $600M AAA-rated ABS deal, so the bond market sees what the stock market doesn't. Citizens reiterated Outperform with a $22 price target. x.com