To The Moon

$Alphabet(GOOGL)$ $Amazon.com(AMZN)$  $Microsoft(MSFT)$  📊📉📊 AI Earnings Reacceleration Meets Valuation Compression: Scepticism Still Dominates the Narrative 📊📉📊

📊 The Bloomberg chart reinforces what the market is quietly signalling. Forward multiples across Alphabet Inc. ($GOOGL), Amazon ($AMZN), Microsoft ($MSFT) and Meta Platforms ($META) have been structurally compressing since mid-2023 despite one of the strongest earnings upgrade cycles in recent history.

I’m looking at this through a purely fundamental lens. If this were a speculative AI bubble, price would be outrunning earnings. Instead, earnings are outrunning price.

📊 Current Valuation Reality (late 2025 baseline):

• $GOOGL forward P/E: 29.94 vs trailing 31.61

• $AMZN forward P/E: 30.86 vs trailing 34.95

• $MSFT forward P/E: 22.03 vs trailing 26.46

• $META forward P/E: 23.09 vs trailing 29.31

I’m seeing a clear pattern. Forward multiples are compressing because earnings expectations are being revised higher at a faster rate than equity prices can adjust. That is not euphoria. That is disbelief.

📊 Structural Interpretation:

AI demand is accelerating earnings revisions upward 📈

Equity markets are applying a discount to that growth 📉

I’m interpreting this as a credibility gap. The market is not yet fully underwriting the durability of AI monetisation.

📊 2026 Capital Deployment Reality:

• $AMZN ~ $200B AI capex trajectory

• $GOOGL ~ $175B–$185B

• $META ~ $115B–$135B

• $MSFT ~ $145B run rate

I’m focused on what matters. This is not theoretical spend. This is deployed capital into revenue-generating infrastructure.

📊 Growth Engine Confirmation:

• $GOOGL revenue growth ~18%, Cloud accelerating ~48% YoY

• $AMZN ~13.6% overall, AWS reacceleration underway

• $MSFT ~16.7% with Azure AI contribution scaling

• $META ~23.8% driven by AI-led ad efficiency

I’m not seeing speculative demand. I’m seeing enterprise adoption with measurable ROI, backlog expansion and margin pathways forming.

📊 Valuation vs Growth (PEG Insight):

• $META PEG: ~1.13

• $MSFT PEG: ~1.33

I’m reading this as disciplined pricing. Growth is being acknowledged, but not overpaid for.

📊 What the Market Is Really Pricing:

I’m seeing three forces at play simultaneously:

1. Capex drag concerns near term

2. Scepticism around long-term AI monetisation durability

3. Reluctance to assign peak multiples during heavy investment cycles

📊 Why This Matters:

Historically, bubbles show multiple expansion before earnings delivery.

This cycle is showing earnings delivery before multiple expansion.

That inversion is critical.

I’m concluding this is not a hype-driven regime. This is a capital cycle where infrastructure is being built ahead of full monetisation, and the market is demanding proof before repricing.

📊 Strategic Framing:

I’m treating these names not as momentum trades, but as early-stage infrastructure plays inside a multi-year AI deployment curve. The story is shifting from narrative to cash flow, and the market has not fully closed that gap.

👉❓ If earnings continue to outpace price while capex normalises over the next 12–24 months, does the next leg come from multiple expansion rather than pure EPS growth?

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Trade like a boss! Happy trading ahead, Cheers, BC 📈🚀🍀🍀🍀