I keep hitting the buy button on Alphabet (NASDAQ:GOOGL<\/a>) because the loudest bearish story attached to it, the idea that Google is bleeding AI talent to Anthropic and OpenAI, does not match anything I see in the numbers or the org chart. It is the cleanest gap between narrative and reality I have found in my portfolio, and I am using it. <\/p>\n My conviction rests on two structural facts the brain drain story ignores. First, the merger of Google Brain and DeepMind under Demis Hassabis created the densest concentration of world-class AI PhDs on the planet, operating as one coordinated scientific unit rather than warring internal teams. Second, Google has finalized multi-billion-dollar retention packages that match startup equity while giving researchers access to internal TPU clusters that startups physically cannot replicate. If you want to train a frontier model without hitting a compute wall, Google is the destination. A handful of high-profile departures does not change that math. <\/p>\n The Receipts <\/p>\n The financial evidence backs the org chart. Q1 2026 revenue landed at $109.90 billion, up 21.8% year over year, with EPS of $5.11 against a $2.63 estimate. That was the fourth consecutive EPS beat. <\/p>\n Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks \u2014 and Google didn’t make the cut. Grab the names FREE today<\/a>. <\/p>\n Google Cloud grew 63% year over year to $20.03 billion, and the backlog nearly doubled quarter over quarter to over $460 billion. Gemini is processing 16 billion tokens per minute via direct API, up 60% from the prior quarter. Companies losing their best researchers do not ship product at that velocity. Sundar Pichai put it plainly on the Q1 call: “The fact that we own frontier models and own the silicon really helps us stay ahead of the curve.” <\/p>\n The dividend, initiated in 2024, was raised 5% to $0.22 per share in April. The direction of travel matters for a long-term holder, even if the yield is modest today. <\/p>\n Why Not the Obvious Alternatives <\/p>\n Microsoft (NASDAQ:MSFT<\/a>) is the reflexive AI pick, and I own some. I keep adding to Alphabet instead because Google Cloud grew 63% against a mature AWS at Amazon (NASDAQ:AMZN<\/a>), and Alphabet also owns the Search and YouTube advertising engine that generated $77.25 billion in Google advertising revenue in Q1 2026. Meta (NASDAQ:META<\/a>) is a cleaner ad play, but it lacks the cloud, the subscription base of 350 million paid users, and Waymo, which surpassed 500,000 fully autonomous rides per week. At a P\/E of 28, I am not paying a premium for that optionality. <\/p>\n The Risk I Actually Respect <\/p>\n Capital expenditure. 2026 CapEx guidance sits at $175 to $185 billion, up from $91.45 billion in 2025. Free cash flow already fell to $10.12 billion in Q1 2026, down 46.63% year over year. If the ROI on that spend disappoints, the story gets ugly. What holds my thesis together is the demand signal underneath it: a $460 billion backlog and cloud operating income that tripled year over year to $6.6 billion. Capacity is booked before it is built. <\/p>\n Why the Buy Button Stays Active <\/p>\n Warren Buffett confirmed he initiated Berkshire’s Alphabet stake and expressed regret for not investing sooner. I understand the sentiment. As long as Alphabet owns the models, the silicon, the researchers, and the distribution, I keep buying, and the brain drain headlines keep making my cost basis better. <\/p>\n Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks \u2014 and Google didn’t make the cut. Grab the names FREE today<\/a>. <\/p>\n<\/a> Vladimir Endovitskiy \/ Shutterstock.com The Thesis Behind Every Add <\/p>\n