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Good morning, founders and investors. Anthropic just crossed the $1 trillion valuation threshold, leapfrogging OpenAI — and that's just the start of a wild week in AI. From Starbucks ditching its automation push to Salesforce customers paying 83% more despite fewer human seats, we're watching AI reshape pricing, product, and strategy in real time.

In today's briefing

  • 1.Anthropic Hits $1T, OpenAI Restricts Cyber Model
  • 2.Starbucks Bets on Human Touch Over Automation
  • 3.SaaS Pricing Is Breaking — AI Is Why
  • 4.Single vs. Multi-Agent: The Hidden Cost Truth
  • 5.Crypto Gets Institutional: Franklin Templeton's 3-6% Rule
  • Quick hits on other news
Latest Developments
SaaS

💸AI Agents Are Breaking SaaS Pricing — Salesforce Costs Up 83% With Fewer Human Seats

The Rundown: AI agents are consuming API usage at a scale that's dramatically inflating SaaS costs even as companies cut human seats, forcing a fundamental rethink of how B2B software is priced and sold.

The details:

  • Salesforce costs for one company surged 83% YoY to $22,000 despite reducing human seats from 10+ down to just 2 — because AI agents consumed far more API usage.
  • Atlassian and Twilio reported accelerating growth with $7B and $5.6B ARR run rates respectively, pushing back against the 'SaaSpocalypse' narrative for B2B software.
  • The simplest and most overlooked path to making a product agentic: ensure your API is genuinely agent-friendly, not just human-friendly with an API bolted on.
  • Max Schoening, Head of Product at Notion, argues the SaaSpocalypse is overstated and that the explosion in software quantity (not quality) from vibe coding creates a major opportunity for builders who can do both.
Why it matters: The Salesforce data point should be pinned on every SaaS founder's wall. Per-seat pricing is being quietly demolished by agent-driven API consumption — and most vendors haven't updated their pricing models to reflect this reality. If you're a SaaS founder, now is the moment to audit your pricing architecture and ask whether it captures value from AI agents, or accidentally gives it away. If you're a buyer, expect costs to rise even as headcount falls.

📰 Source: SaaStr

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Everything else in the news today

Charm pricing (.99 endings) originated in 1879 as an anti-theft mechanism in cash registers — not as a psychological pricing strategy.
The left-digit effect, studied by Cornell's Manoj Thomas, causes consumers to perceive $2.99 as closer to $2.00 than $3.00 — a bias that persists even when you know it's happening.
The US stopped minting pennies in 2025, sparking proposed legislation to round cash prices, but retailers show no appetite to abandon charm pricing.
Max Schoening (Notion) argues agency — not skills — is the defining differentiator in the AI era; what separates thriving professionals is the willingness to act with incomplete information.
Vibe coding has produced an explosion in software quantity but not quality — Schoening calls the gap a major opportunity for builders who can ship fast *and* well.
Schoening's 'tiny core' theory: great products are built around one defining mechanic — iPhone multitouch, GitHub pull requests, Notion blocks, Dropbox's menu bar icon.
Notion ships features with a 'drive it like it's stolen' mentality — prioritizing speed and learning over polish at launch.
Dr. Alex Wissner-Gross (Physical Superintelligence) says AI has largely solved mathematics as a discipline and predicts physics is the next domain to fall.
Lance Roberts (RIA Investors) is holding 10-20% cash in portfolios as a hedge against his predicted 10-15% equity correction by midterms.
Tavi Costa flagged agricultural commodities (corn, wheat, sugar) as the next macro rotation trade after metals and energy already ran.
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