AI goes exponentially with ..

This infographic illustrates how AI’s exponential growth triggers a cascading exponential expansion across all interconnected domains.

Core Concept: Exponential Chain Reaction

Top Process Chain: AI’s exponential growth creates proportionally exponential demands at each stage:

• AI (LLM) ≈ Data ≈ Computing ≈ Power ≈ Cooling

The “≈” symbol indicates that each element grows exponentially in proportion to the others. When AI doubles, the required data, computing, power, and cooling all scale proportionally.

Evidence of Exponential Growth Across Domains

1. AI Networking & Global Data Generation (Top Left)

• Exponential increase beginning in the 2010s
• Vertical surge post-2020

2. Data Center Electricity Demand (Center Left)

• Sharp increase projected between 2026-2030
• Orange (AI workloads) overwhelms blue (traditional workloads)
• AI is the primary driver of total power demand growth

3. Power Production Capacity (Center Right)

• 2005-2030 trends across various energy sources
• Power generation must scale alongside AI demand

4. AI Computing Usage (Right)

• Most dramatic exponential growth
• Modern AI era begins in 2012
• Doubling every 6 months (extremely rapid exponential growth)
• Over 300,000x increase since 2012
• Three exponential growth phases shown (1e+0, 1e+2, 1e+4, 1e+6)

Key Message

This infographic demonstrates that AI development is not an isolated phenomenon but triggers exponential evolution across the entire ecosystem:

• As AI models advance → Data requirements grow exponentially
• As data increases → Computing power needs scale exponentially
• As computing expands → Power consumption rises exponentially
• As power consumption grows → Cooling systems must expand exponentially

All elements are tightly interconnected, creating a ‘cascading exponential effect’ where exponential growth in one domain simultaneously triggers exponential development and demand across all other domains.

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With Claude