The world's largest companies stand to benefit most from AI. Buying Meta, Amazon, Nvidia, Alphabet and Microsoft might be enough to outperform the market over the next few years. x.com 

Bullish on Amazon, Alphabet and Meta together: AI should further strengthen the competitive moats of companies already winning, rather than erode their advantages. x.com 

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 

Mastercard may be the only scaled, capital-light network benefiting from AI, with bloated technical debt uniquely addressable by coding tools. Nominal inflation-linked recurring revenues and hardware attach add to the case at low-teens free-cash-flow yields. While payments getting bid in a red market probably signals the rally is over, these traits could mean it is not. x.com 

Meta's AI infrastructure financing raises the risk that a long wait for revenue and profit will keep its shares volatile. It disclosed plans to raise up to $95 billion. @amitisinvesting warns that further dilution could keep the stock stuck even if the buildout eventually pays off. Meta's selloff is still a massive buying opportunity. x.com  x.com  x.com 

Amazon, Alphabet, Microsoft and Meta are not getting cheap; their multiples are sliding because separate monopolies are turning into one competitive market. They now spend enormous sums to sell the same AI to the same customers, funded largely by cyclical ads, on unproven returns. Microsoft faces AI eating per-seat licensing, Amazon fights in both retail and cloud, Alphabet's search premium is gone, and Meta keeps going all in for less. Markets can't price not knowing what a business will be. … Show more

These five stocks should deliver great returns over the next five years because each trades well below its 10-year median P/E. S&P Global is at 26 times versus a 32 median, Fair Isaac at 39 versus 47, Mastercard at 29 versus 38, Microsoft at 25 versus 33 and ServiceNow at 59 versus 149. x.com 

Apple's ecosystem and services, Nvidia's AI chips and software, Palantir's AI platform, Tesla's potential growth drivers and Meta's scale make these five stocks hard to bet against. Apple has loyal customers; Palantir can help businesses and governments use complex data; Tesla is betting on autonomy, robotics and energy; and Meta's users, ad technology and cash flow support continued AI investment. x.com  x.com  x.com  x.com  x.com 

Moody's and S&P Global could de-rate from high starting multiples if generalist portfolio managers come to see them as FICO 2.0. Their industry structures differ, but parallels in standards, pricing power and regulatory exposure could build a narrative that their pricing power is tapped out after the FICO case study, compressing multiples further. So far their de-rating has come from macro and AI pressure, not such fears. x.com  x.com  x.com 

Tech remains the ultimate winner because AI names depend on hyperscalers. Institutional positioning rotates in waves between AI/semiconductors and tech; hold Meta, Microsoft, Amazon and Alphabet first, then some AI and semiconductor exposure. x.com