Alphabet quadruples profit to $112b, fueled by AI investments
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Unlock the full reading · $5.50 →Alphabet reported massive profit growth to $112 billion (quadrupled year-over-year), driven by AI investments including stakes in SpaceX and Anthropic valued at $99 billion. Revenue rose 24% to $119.8 billion, with cloud business up 82%, while the company plans to spend up to $190 billion on AI infrastructure this year and increase spending further in 2025.
Teaching:
• Use Google's massive infrastructure spending as analogy for why consistent practice investment compounds—small daily deposits in attention and embodiment create exponential returns over time
• Frame AI's transformation of search and work as parallel to how practice transforms perception—both require sustained investment before returns become visible
• Discuss how Google's bet on infrastructure before proven ROI mirrors committing to practice before understanding arrives—trust in the method precedes evidence
• Connect cloud computing's scalability to practice capacity—building base infrastructure (breath, bandhas, drishti) allows more complex operations later
Writing seeds:
• Essay comparing tech companies' AI spending anxiety to students questioning whether practice 'works'—both require faith in compound returns and systems thinking beyond quarterly metrics
• Shala Daily post on infrastructure versus performance: Google builds data centers for years before profit, practitioners build breath control before advanced asanas
• Piece on how Alphabet's $99 billion in AI company stakes mirrors how practice investments (time, attention, discomfort) appreciate invisibly until suddenly they're worth everything
• Short reflection on 'significantly increase spending next year'—how deepening practice always demands more resources (time, focus, surrender) not less, and why that's the point
Idea map:
• Google's infrastructure-first approach exemplifies systems literacy—understanding that visible outputs require invisible foundational investment, exactly how practice works
• The gap between Wall Street expectations and actual results mirrors the gap between what students think practice should deliver versus what it actually provides when done systematically
• Alphabet's bet on AI despite unclear ROI connects to practice as method—committing to the system before understanding it, trusting process over immediate results
• Cloud business growth (82%) versus overall revenue (24%) shows how specific practice applications scale differently—some elements compound faster than others in embodied systems
Teaching:
• Use Google's massive infrastructure spending as analogy for why consistent practice investment compounds—small daily deposits in attention and embodiment create exponential returns over time
• Frame AI's transformation of search and work as parallel to how practice transforms perception—both require sustained investment before returns become visible
• Discuss how Google's bet on infrastructure before proven ROI mirrors committing to practice before understanding arrives—trust in the method precedes evidence
• Connect cloud computing's scalability to practice capacity—building base infrastructure (breath, bandhas, drishti) allows more complex operations later
Writing seeds:
• Essay comparing tech companies' AI spending anxiety to students questioning whether practice 'works'—both require faith in compound returns and systems thinking beyond quarterly metrics
• Shala Daily post on infrastructure versus performance: Google builds data centers for years before profit, practitioners build breath control before advanced asanas
• Piece on how Alphabet's $99 billion in AI company stakes mirrors how practice investments (time, attention, discomfort) appreciate invisibly until suddenly they're worth everything
• Short reflection on 'significantly increase spending next year'—how deepening practice always demands more resources (time, focus, surrender) not less, and why that's the point
Idea map:
• Google's infrastructure-first approach exemplifies systems literacy—understanding that visible outputs require invisible foundational investment, exactly how practice works
• The gap between Wall Street expectations and actual results mirrors the gap between what students think practice should deliver versus what it actually provides when done systematically
• Alphabet's bet on AI despite unclear ROI connects to practice as method—committing to the system before understanding it, trusting process over immediate results
• Cloud business growth (82%) versus overall revenue (24%) shows how specific practice applications scale differently—some elements compound faster than others in embodied systems
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