Return on invested capital is one of the most important metrics for identifying a high-quality company. For example, if you bought $Alphabet(GOOG)$ at 8X price to book ratio and sold at 4X price to book ratio, your total return over 20 years would still be 560%. But if you bought $IBM(IBM)$ at 7X price to book ratio and sold at 9X price to book ratio, your total return would only be 166%. Why the massive difference? Google had a high return on invested capital. IBM did not. "We've really made the money out of high-quality businesses. Over the long term, it's hard for a stock to earn a much better return than the business which underlies it earns." - Charlie Munger
$Microsoft(MSFT)$ The sell-off happened on very low volume. No major dark pool trading blocks were recorded. It looks like retail panic selling from weak hands. I expect a reversal fairly soon. We might see further selling, but it feels like the worst has passed and this is mostly profit taking. I am holding through this for the bigger move that is still ahead.
$Microsoft(MSFT)$ Even after the run-up, this still looks very undervalued to me. If you have to pick something among the Mag 7, it feels like the only sane buy right now. I'm not a huge fan of Microsoft's culture honestly, but it's hard to argue with the numbers they're putting up.
$Alphabet(GOOG)$ Google shareholders have been selling off and moving that money into momentum names that are actually working. One of the stocks that's caught some of that flow is Netlist, which used to be a delisted penny stock. I'm long both Google and Netlist, but staying diversified makes sense here.
$Alphabet(GOOG)$ Feels like Google is up to something big and bold with AI, possibly making Gemini free to undercut everyone and crush token prices. Risky approach, but it fits the Android playbook. That might explain why they keep raising, and I imagine they would have to dump their Anthropic shares at IPO. Their open-source models will have hooks into YouTube and other properties. Big moves are happening among the big players right now.
$Alphabet(GOOG)$ Not sure how much longer GOOGL can just sit at 17.74x PE. It feels like Wall Street is getting ready to load up. Cheaper would obviously be nice, but I'm highly doubtful we'll see that. Berkshire is likely to keep buying.
$Alphabet(GOOG)$ AI drug discovery seems to have moved past the hype phase. The real shift now is generative foundation models and de novo molecular design going from theoretical concepts into actual clinical trials. The first wave of fully AI-discovered therapeutics is moving through pivotal Phase II and III human trials, and the timelines tell the story — preclinical pipelines that used to take years are being compressed to months. On the de novo side, platforms are building entirely new chemical compounds and molecular glues from scratch, not just tweaking old drug templates. Multi-agent software frameworks and automated robotic labs are running continuous design-make-test-analyze cycles with minimal human input. What stands out is the ear