Enterprise AIStratechery

Mythos, Muse, and the Opportunity Cost of Compute

Read original

Why I picked this

brilliant read

ai-policymarket-consolidationregulatory-impact

“The era of Aggregation Theory is behind us, and AI is again making technology expensive. This relation of increased cost from increased consumption is anti-internet era thinking.”

Key takeaways

  • Reasoning models (o1) fundamentally break Aggregation Theory by reintroducing marginal costs - compute scales with usage, unlike internet-era products
  • Hyperscalers' business models were built on zero marginal cost assumption; AI inference costs challenge this foundation requiring new economic models
  • The 2010s internet era may be viewed as anomalous 'naive time' - technology returning to capital-intensive, high-marginal-cost paradigm of pre-internet era

Why this matters for operators: Companies building AI products need to rethink unit economics and business models fundamentally different from internet-era playbooks

I cover AI×GTM intelligence like this every Wednesday.

Get STEEPWORKS Weekly

More picks

GTM OpsSaaStr — Jason LemkinVictor's pick

5 Interesting Learnings from Klaviyo at $1.2 Billion in ARR: 32% Growth, 110% NRR, and Somehow Only 4x Revenue

SaaS dead, dying or underpriced? Feels like a stock pickers market with attractive opportunities to me

  • Klaviyo trading at 4-5x revenue despite 32% growth, 110% NRR, and profitability—potentially most mispriced public B2B company or signal of 'New Normal' for SaaS valuations
  • NRR improved to 110% while scaling to $1.2B ARR by doubling $1M+ ARR customers and growing $50K+ customers 37% YoY—rare upmarket expansion success at scale
  • International revenue grew 42% YoY and now represents 33%+ of business, breaking 'Shopify add-on' narrative with regional hubs in Dublin and Singapore
market-consolidationrevenue-platform-consolidationback-to-basics-gtm
Read original Full analysis →
GTM OpsHello Operator

The slow decay of growth (and how to avoid it)

  • Growth decay is a common pattern affecting successful PLG companies including Ramp, Notion, Airtable, Figma, Miro, and Canva
  • There are documented examples of companies that successfully reversed growth deceleration
  • Newsletter promises new data and real-world frameworks for addressing growth plateau
plg-to-salesback-to-basics-gtmrevenue-platform-consolidation
Read original Full analysis →
AI EcosystemsAI Weekly

AI Weekly Issue #481: Musk wants Altman fired, Anthropic passes OpenAI, Meta goes closed

  • Anthropic overtook OpenAI in revenue ($30B vs $24B run rate) driven by enterprise customers, doubling million-dollar accounts in under two months
  • Meta abandoned open-source AI strategy with first proprietary model under Superintelligence Labs, reversing Llama approach
  • AI legal/regulatory activity intensifying: Musk-Altman litigation escalating, Hollywood writers secured four-year AI protections
vendor-fundingmarket-consolidationregulatory-impact
Read original Full analysis →

This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.