AAPL
TechnologyBulls ⚔ Bears · how Reddit is debating it
Bull case
0 stances- Integrates cutting-edge Nvidia Blackwell B200 GPUs via Google Cloud to power next-gen Siri and AFM 3. ↗
- Maintains strict user privacy guarantees while leveraging third-party cloud infrastructure. ↗
- Demonstrated the most resilience among Mag7 with the smallest -8.5% drop. ↗
- Potential short-term price pump driven by WWDC hype ↗
- Trading near all-time highs at $307. ↗
- Services segment is highly profitable with 70% margins. ↗
Bear case
0 stances- Siri and Apple's AI capabilities are severely lagging behind competitors ↗
- Forced to copy Google's AI homework, indicating fundamental tech weakness ↗
- The market reacted negatively to Apple's AI announcements, indicating a 'sell the news' event. ↗
- High volatility and immediate price reversal suggest overbought conditions prior to the event. ↗
- High trailing PE of ~37x is unjustified given single-digit top-line growth normalization. ↗
- Rising RAM and storage costs driven by the AI supercycle will compress hardware margins. ↗
Credible voices
Catalysts · themes
Community split
Related narratives
High-quality DD posts
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Regulators approved Monday and Wednesday option expiration cycles for major tech names and IBIT, replacing XLF, starting late January.
WSB user posts a loss meme with just the AAPL ticker to ask if they belong in the sub.
Apple partners with Nvidia and Google Cloud to run its new AFM 3 Cloud Pro AI models on Nvidia Blackwell B200 GPUs for enhanced Siri.
Compares Mag7 drawdowns vs indexes; MSFT, META, TSLA corrected much more than AAPL, NVDA, GOOGL.
Author debates buying AAPL calls for WWDC hype vs GOOG calls due to Apple's reliance on Google's AI.
Lost money on AAPL calls as the stock dropped immediately after WWDC's AI announcements failed to sustain momentum.
AAPL faces downside risk due to high PE, rising component costs from AI cycle, delayed base iPhone releases, and macro headwinds.
Author tested an AI research tool on NVDA and AAPL, highlighting AAPL's services margins and NVDA's AI buildout vs valuation risks.

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