Karpathy’s map: AI, Jobs, and the Comfort of Numbers Andrej Karpathy just scored every U.S. job on AI replacement risk (0–10). He scraped 342 occupations, ran them through an LLM with a scoring rubri…
10116411 viral
Future of Work8 days ago
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Nico Orie
LinkedIn Content Strategy & Writing Style
VP People & Culture
Netherlands
31 Viral ScoreView on LinkedIn
1 person tracking this creator on Viral Brain
Performance Overview
Followers
17.7K
Connections
10.5K
Avg. Engagement
Top Posts by Engagement
Posting Patterns & Frequency
4.8 posts/week
Posts / Week
1.6 days
Days Between Posts
1
Total Posts Analyzed
HIGH
Posting Frequency
Timezone: Europe/Brussels
Best Performing Days
Saturday
Best Performing Times To Post
08:00–10:00
Topics & Content Focus
Primary Topics
Agentic AI as an enterprise operating model shift (assistants → operators)HR transformation in the AI era (from systems of record → systems of context)Future-of-work interpretation: separating predictive comfort (scores, maps) from messy labor realityAI-mediated reputation and employer brand interpretability (LinkedIn as an AI citation layer)
Secondary Themes
AI governance, permissions, safety, and compliance for autonomous executionSkills intelligence, workforce planning, and adaptive org designProduct/UX evolution beyond traditional SaaS workflows (frictionless interfaces)AI search/LLM retrieval dynamics (citations, semantic similarity, content formats)
Industry Focus
HR Tech and Talent AcquisitionEnterprise AI transformation for knowledge workEmployer branding and thought leadership strategy on LinkedInFuture of work and workforce analytics
Content Categories
Research synthesis into executive takeawaysStrategic frameworks and naming of shifts (X → Y reframes)Contrarian analysis of popular AI narrativesPractical implications for operators (HR leaders, executives)
Performance Insights
46.2%
Avg Engagement Rate
DECREASING
Performance Trend
Best Performing Topics
HR operating model redesign (context-keeping, skills intelligence, new HR roles)Future-of-work skepticism toward simplistic AI replacement scoring (nuanced critique + history analogy)
Virality Signals
Borrowed authority (Karpathy, NVIDIA GTC) used as trust acceleratorsContrarian but respectful rebuttal to a popular artifact (invites debate without hostility)Memorable concept labels and “era shift” language that makes posts quote-ableFramework posts that readers can forward internally (shareable for teams/leaders)
Structure & Quality
420
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.78/10
Uniqueness Score
Common Hooks
Question-led executive provocation ("Is X ready?", "Will X finally…?")“Quiet shift” framing that signals an inflection point (2024 logic vs 2026 reality)Big-name or credible-source anchoring (well-known builders/research, major events)Counter-intuitive thesis (numbers feel predictive but mainly reassure)Naming/packaging a concept to make it portable (“SaaS tax”, “context layer”, “Claws”)
Common Endings
Thesis compression ("To sum it up…", "In short…")A directional reframe (visibility → interpretability; record-keeping → context-keeping)Rhetorical challenge question to prompt reflectionSource link for verification/credibility
Value Delivery Methods
Turns complex AI shifts into organizational implications and operating principlesProvides decision-relevant reframes rather than tool hypeAdds implementation texture (workflows, reporting, search, compliance) without getting lost in minutiaeDefines emerging roles and responsibilities to make change actionable
Formatting Style
Short paragraphs with clear line breaks for scanabilityBullets and numbered lists to operationalize ideasColon-led sections and label/value patterns (e.g., 'Reporting:', 'Search:')Occasional symbol-led emphasis (•) and conceptual metaphors
Audience & Tone
YES
Question Usage
0%
Response Rate
Detected Tone
Executive-briefing strategistPragmatic futurist (implementation over hype)Analytical contrarian (skeptical of oversimplified metrics)Human-systems thinker (work, culture, context)semi-formalmixed
Interaction Style
Thoughtful debate and perspective-sharing in comments (especially on societal/work implications)Validation and internal-share behavior on practical frameworksHigher comment density when the post challenges a mainstream narrative
Community Building Signals
Builds trust through sourcing and attribution rather than personal diary updatesCreates a recurring “executive briefing” expectation (pattern of naming shifts + implications)Signals a consistent worldview: pragmatic optimism + governance realism
Writing Style Patterns
Content Strategy
Hook: Question-led executive provocation ("Is X ready?", "Will X fTone: semi-formalCTA: Soft CTA via a closing question
Writing style breakdown
The author’s voice is that of a 'Pragmatic Visionary' or 'Tech-Forward Analyst.' It is professional, informative, and highly structured, yet remains accessible through a conversational, punchy delivery. The tone is authoritative but not academic; it feels like a high-level briefing for busy executives.
CORE CHARACTERISTICS: The writing is 'Direct' and 'Persuasive.' It avoids fluff, favoring data-backed insights and logical deductions. It is 'Methodical,' often breaking down complex technological shifts (AI, Agentic software, 'Claws') into digestible frameworks or lists.
EMOTIONAL TONE: It is 'High-Energy' and 'Fast-Paced.' The author uses short sentences and frequent line breaks to create a sense of momentum and urgency. There is an underlying 'Motivational' subtext—urging the reader to adapt to a '2026 world'—mixed with 'Sarcastic' or 'Witty' critiques of legacy systems (e.g., the 'SaaS tax' or 'Windows 95 moment').
SIGNATURE TRAITS: The author heavily utilizes 'Rhetorical Questions' to frame problems ('Is Your Employee Branding AI-Ready?', 'What happens when AI agents start interacting?'). They use 'Metaphors' (the 'Claw', 'Translation layer', 'Plumbing') to ground abstract concepts. 'Direct Audience Engagement' is constant, often ending with a provocative question or a 'To sum it all up' synthesis.
ADDRESSING THE READER: The author primarily uses 'Second-Person' ('you', 'your brand') to create immediate relevance. They mix 'Direct Commands' ('Redesign the Role', 'Establish Efficiency Boundaries') with 'Analytical Observations' ('The research indicates...').
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