Third Vector Observer | Edition 2
Claude Cowork Spooks Investors, Dead Companies Walking, the High-Growth Handbook
Welcome to the Third Vector Observer, an easy-to-digest newsletter featuring 3–5 high-quality, insightful pieces on venture operations, agentic AI, finance, and Europe's tech ecosystem. Delivered to your inbox roughly twice a month.
Things We Observed…
1. Claude Cowork Triggers $285B Selloff Across Software, Financial Services, and Asset Management Stocks
Anthropic’s release of Claude Cowork spooked markets in January, but it was last week’s launch of 11 open-source plugins that turned a tremor into an earthquake. By February 3rd, a massive $285B selloff hit software, financial services, and asset management stocks globally.
The market has reached a tipping point. Investors are no longer viewing AI as a "feature" for existing SaaS; they are viewing it as a replacement for the application layer. When Anthropic—an infrastructure provider—released ready-made vertical solutions for legal, finance, and sales, the platform officially became the competitor.
What makes Cowork different: agentic autonomy
Claude Cowork doesn't just chat; it executes multi-step workflows directly on a user’s machine.
Cowork includes a library of plugins for common knowledge work functions:
Productivity — Manage tasks, calendars, and daily workflows
Enterprise search — Find information across your company’s tools and docs
Sales — Research prospects, prep deals, and follow your sales process
Finance — Analyze financials, build models, and track key metrics
Data — Query, visualize, and interpret datasets
Legal — Review documents, flag risks, and track compliance
Marketing — Draft content, plan campaigns, and manage launches
Customer support — Triage issues, draft responses, and surface solutions
Product management — Write specs, prioritize roadmaps, and track progress
Biology research — Search literature, analyze results, and plan experiments
“Your Margin is My Opportunity”
The damage was swift and targeted at companies whose business models rely on “seat-based” knowledge work:
Legal Tech: Thomson Reuters (-16%), RELX/LexisNexis (-14%), and Wolters Kluwer (-13%) saw massive wipes.
Enterprise SaaS: Heavyweights like Salesforce and ServiceNow fell 7%, as the threat of “seat compression” became real.
Outsourcing: Indian IT giants (Infosys, Wipro) slid 5-6% as investors feared agentic AI would cannibalize FTE-based contracts.
Software ate the world, now AI is eating software. As Jeff Bezos famously said, “Your margin is my opportunity.” In 2026, AI isn't just eating software; it's eating those fat, juicy SaaS margins. Yum.
2. Dead Companies Walking - Lessons from a Short-Seller Applied to SaaS
In this sobering piece, Tomasz Tunguz applies the “six failure modes” of legendary short-seller Scott Fearon (Dead Companies Walking) to the current state of the software industry. Tunguz’s thesis is clear: the “hairpin turn” from SaaS to AI is amplifying every classic mistake that causes companies to zero out.
Fearon’s Six Failure Modes (Applied to the AI Era):
Learning only from the recent past: SaaS multiples have been flat for three years. Relying on 2021-era growth playbooks is the fastest way to run out of runway.
Relying too heavily on a formula: The “efficient growth” formulas of the last decade (PLG vs. Enterprise) are breaking. In an AI-native world, sales motions and quotas must be rebuilt from scratch.
Misreading or alienating customers: Customers don’t want “SaaS with an AI wrapper”; they want AI-native solutions that solve pain points in fundamentally new ways. Selling the old application leads to instant churn.
Falling victim to a mania: Shipping half-baked AI features to appease a roadmap isn’t the same as delivering value. As Tunguz notes, 2026 is the year where “long-running agents” will separate the wheat from the chaff.
Failing to adapt to tectonic shifts: The shift from seat-based pricing to outcome-based or compute-based models is a structural earthquake.
Being physically or emotionally removed: If leadership isn’t using tools like Claude or GPT daily, they aren’t just behind—they are “emotionally removed” from the reality of the technology.
Link: https://tomtunguz.com/dead-companies-walking/
3. The High-Growth Handbook: Molly Graham on Lenny’s Podcast
In this episode of Lenny’s Podcast, Molly Graham (Glue Club, ex-Facebook/Google) shared a masterclass on leading through the chaos of hyper-growth. For anyone building or advising ventures, her frameworks and mental models help moving from “scrappy startup” to “scaled machine.” See selected highlights below the Spotify link.
The Waterline Model
Molly shared a useful framework, the “Waterline Model”, for diagnosing team dysfunction. She argues that when a team is struggling, leaders often default to “scuba diving”—going deep into interpersonal conflicts or individual performance issues. Instead, she suggests you should “snorkel” first.
Above the Waterline: These are structural issues—unclear roles, lack of alignment on goals, or poor processes.
Below the Waterline: These are the messy, interpersonal “people” problems.
The Insight: 80% of what we perceive as “personality clashes” or “bad hires” are actually just structural failures above the waterline. Before you blame the person, fix the role clarity and the goal-setting. It’s a powerful reminder for venture operators: Structure dictates behaviour.
Stop Over-Investing in Low Performance
Molly’s advice centers on the opportunity cost of a manager’s time. She argues that the common instinct—spending 80% of your energy on the bottom 10%—is a strategic error.
“The mistake most managers make is they spend all their time on their lowest performers... it’s actually a disservice to the rest of the team. You have to get comfortable with the fact that if it’s not working, the kindest thing you can do is move them out quickly. Then, take all that energy and pour it into your ‘high-potentials’—the people who are actually going to build the future of the company.”
Other Key Takeaways:
“Give Away Your Legos”: The classic framework for scaling yourself. If you aren’t actively handing off the parts of your job you love, you’re becoming the bottleneck.
The “J-Curve” Career: Why the most successful paths often look like a series of terrifying leaps into the unknown rather than a steady climb up a corporate ladder.
Strategy Should Hurt: If your strategy doesn’t involve making painful trade-offs (saying “no” to good ideas), it’s not a strategy; it’s a wishlist.