Decio Nocerino @decionocerino: "📊 MAG 7 EARNINGS WEEK..."

Italy

📊 MAG 7 EARNINGS WEEK — THE REAL TEST BEGINS 📊 This week, the earnings focus falls squarely on the Magnificent 7: $AMZN (Amazon.com Inc) $GOOG (Alphabet) $MSFT (Microsoft) and $META (Meta Platforms Inc) report Wednesday, April 29th, with $AAPL (Apple) following Thursday. Five companies. One verdict on whether the AI decade is delivering or merely promising. The context matters as much as the numbers. After a nearly 10% drawdown in the S&P 500, a full recovery to pre-conflict levels took only 11 trading sessions — the fastest geopolitical recovery on record. The Nasdaq posted 13 consecutive winning sessions, matching a streak not seen since 1992 , as markets priced in ceasefire optimism around the Strait of Hormuz. Tech led the bounce. Now tech must justify it. What the numbers need to say. The market is no longer rewarding AI spending on faith alone. Investors are seeking proof that hyperscaler capex is translating into real revenue, stronger margins, and durable monetization — a debate that intensifies as Bridgewater estimates roughly $650 billion of Big Tech AI investment in 2026, up from $410 billion in 2025. The bar is set high but not impossibly so. For the Mag 7 as a whole, Q1 earnings are expected to increase +20.3% on +22% higher revenues. Meanwhile, FactSet forecasts S&P 500 earnings grew 13.2% in Q1 2026 — what would be the sixth consecutive quarter of double-digit earnings growth for the index. The bull and bear case, honestly framed. The bull reads as follows: AI monetization is compounding. Alphabet’s cloud revenue grew +48% in Q4 2025, accelerating from +34% the prior quarter, and search revenues are tracking +17–18% in Q1 2026. Meta enters the quarter with its Advantage+ advertising suite at a $60 billion annual run rate, and daily active users across its family of apps at 3.58 billion, growing 7% year-on-year. AWS grew 24% in Q4 2025 — its fastest pace in 13 quarters — with AI cloud revenue now crossing a $15 billion annual run rate. The bear reads differently: tech valuations peaked above 31x forward earnings in September 2025, fell sharply to 23x by April 2026, and the premium over the broader market has narrowed considerably. Compression is not necessarily danger — it is normalization. But guidance will matter more than the quarter itself. Any management hedging on AI capex ROI timelines, tariff pass-through costs, or advertising demand could reset expectations sharply, particularly after the kind of sentiment-driven rally we have just witnessed. What to listen for between the lines. Management tone on three specific topics will be the signal: first, whether hyperscaler AI revenue is accelerating or plateauing; second, how the Iran conflict and Hormuz uncertainty affected enterprise customer behavior — especially cloud contract renewals and advertising budgets in Q1; third, capex guidance for H2 2026. Magnificent Seven net income is estimated to grow 25% in 2026 compared to 11% for the S&P 493, with relative outperformance expected to extend into 2027, according to Morgan Stanley — but that projection depends on capital deployment remaining disciplined and productive. The strategic lens for long-term investors. Future earnings expectations have risen even faster than prices, even as the Iran conflict weighed on investors — and the rebound was already underway before geopolitical clarity improved. That is a structurally important observation. The market is telling us something: when fundamentals are durable, geopolitical noise is noise, not signal. The AI infrastructure cycle is not a trade. It is a decade-long capital reallocation — from physical assets toward compute, data, and intelligence. Companies that convert that spend into compounding revenue streams will compound shareholder value. Those that accumulate infrastructure without matching monetization will face multiple compression. This earnings week begins to separate the two. The discipline for long-term investors remains unchanged: do not chase the bounce; assess the trajectory. Valuation correction from 31x to 23x has made entry points for quality names more defensible than at any point since mid-2025. Position sizing should reflect that opportunity — but in tranches, not in panic. 🔹 The question I would put to you: as AI capex crosses $650 billion industry-wide in 2026, which company do you think is closest to proving genuine ROI — and what metric would you use to measure it? $AVGO (Broadcom Inc) $SITM (SiTime Corporation) $SNOW (Snowflake Inc.) $APP (Applovin Corp) $SPOT (Spotify Technologies SA) $NFLX (Netflix, Inc.)

Not investment advice. The author may have financial interests in the mentioned instruments.

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