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// january_2026 (3)

2026-01-09

Anthropic is going parabolic

by Marc Baumann Read time: 4 minutes · AI Strategy
Score: +2600
Anthropic is raising $10B at a $350B valuation, with 80% of revenue now coming from enterprise API customers. Claude Code alone generates over $1B in annualized revenue, signaling a shift toward industrial-grade AI utility. Tactical implication: Prioritize Claude 3.5 Sonnet for internal automated workflows where data privacy and complex reasoning outperform raw speed.

2026-01-04

What Are Leaders Saying About AI’s Strategic Role in Marketing?

by Fast Company Read time: 4 minutes · Marketing
Score: +1600
Fast Company argues that organizational simplification is the prerequisite for AI success. Metric: track 'complexity signals' like tool onboarding time (e.g. Spotify reduced code merge time from 60 to 20 days). Protocol: establish clear data ownership and decision protocols before adding new AI tools. Action: audit the tech stack to remove disconnected 'Frankenstein' tools that increase manual reconciliation.

2026-01-01

Slowing Down as Strategy: When AI Tools Commoditize Speed, What Becomes Competitive?

by Dan Koe, Jakub Jarovsky Read time: 5 minutes · AI Strategy
Score: +3720
Dan Koe: 'When everyone has an advantage, it is no longer an advantage. When everyone can create anything at the click of a button, your advantage comes from slowing down, focusing on your craft, doing the right things manually, and acquiring knowledge so specific nobody can generate it with AI.' Differentiation shifts from tool access to judgment quality. Speed is commoditized. Deliberate deceleration builds expertise AI cannot replicate.

// december_2025 (2)

2025-12-26

Battery Ventures State of AI: Ecosystems Are the Only Moat That Scales

Highest rated content by Battery Ventures Read time: 4 minutes · AI Strategy
Score: +3480
Early-stage moats are 69% internal (team expertise, product velocity) and 31% external (workflows, data, integrations). Growth-stage inverts to 64% external, 36% internal. Late-stage is 96% external ecosystem. AI makes expertise and features easier to copy. Ecosystems take years to build and are extremely sticky.

2025-12-23

Reddit Marketers Ask: Should AI Own Attribution Now?

by r/marketing community Read time: 4 minutes · Attribution
Score: +860
A heated thread debating whether LLMs should replace rules-based attribution—key insight: trust breaks without explainability.
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