A Bottom-Up, Valuation Framework For 2027

AI is powering a global economic transformation. By combining a bottom-up revenue model with valuation multiples proven by past hyper-growth companies like Salesforce and ServiceNow, we can make a disciplined and credible case for the near term value of companies like OpenAI, Anthropic, and NVIDIA.
Step 1: Bottom-Up AI Market Sizing
User Base Assumption:
- 4 billion people globally are touched by AI (50% of global population)
Average Monthly Spend per User:
- $5 for personal AI
- $20 for business use
- $4 for automation (e.g. AI cars, smart devices)
- Total: $29/month
Annualized Total Market:
$29 × 4B users × 12 months = $1.392 trillion
Step 2: AI Spend Breakdown by Layer
- Infrastructure: $696B (50%)
- Applications: $511.5B (36.7%)
- Core Software: $184.5B (13.3%)
Step 3: LLM Platform Revenue
Assuming 70% of Core Software spend goes to large language model (LLM) platforms:
- Total LLM spend: $129.2B
LLM Vendor Share:
- OpenAI (40%): $51.7B
- Anthropic (30%): $38.8B
- Others (30%): $38.8B
Step 4: NVIDIA’s AI Revenue
Assuming NVIDIA captures 60% of infrastructure spend:
- 60% of $696B = $417.6B
Step 5: Apply a Proven 14× Revenue Multiple
Why 14×?
During their breakout phases, companies like Salesforce, ServiceNow, and Shopify all traded at 10× to 20× revenue.
14× is a conservative, historically proven mid-range multiple during 50%+ growth phases.
Final Valuation Summary (14× Revenue)
OpenAI
- Revenue: $51.7B
- Valuation: $724B
Anthropic
- Revenue: $38.8B
- Valuation: $543B
NVIDIA
- Revenue: $417.6B
- Valuation: $5.85T
Why This Works
- Built from the bottom up — based on real users and real spending behavior
- Uses valuation multiples proven by high-growth tech companies
- Treats NVIDIA not just as a chip company, but as a software-style AI platform with deep infrastructure lock-in
This model doesn’t rely on inflated TAM or hype. It uses usage, spend, and precedent — and it suggests the next $10 trillion in enterprise value is already forming.
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