Enterprise AI**WINWIN Newsletter (Highspot)

B2B SaaS isn’t dead. But it does have to evolve.

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AI and agents are only as powerful as the intelligence behind them

Key takeaways

  • Three SaaS evolution paths: AI as interface, embedded AI in products, and agent ecosystems
  • Systems of intelligence require domain logic, performance signals, and agent orchestration
  • The critical question shifts from 'Do we have AI?' to 'Where does intelligence live in our stack?'

Why this matters for operators: GTM leaders evaluating AI platform strategy

I cover AI×GTM intelligence like this every Wednesday.

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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
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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
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Enterprise AIStratecheryVictor's pick

Mythos, Muse, and the Opportunity Cost of Compute

brilliant read

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