Observed Signal · Aug 17, 2026 · Policy Update · Source: The Drum · Impact: 4/5 · Sentiment: Neutral
Mark Ritson: I Used Claude to Write My Column
Mark Ritson admits he used the Claude AI assistant to help research, draft and tighten his recent column, and describes an iterative human–AI workflow. He highlights the limits of current AI-detection tools after noting that Pangram flagged a LinkedIn executive’s post and — in a study of over 1 million posts — found roughly 25% of long-form posts across platforms were AI-generated (41% on LinkedIn). Ritson argues detectors can identify statistical fingerprints on final text but cannot determine who "held the pen" during creation, and he contends that human+AI collaboration is the dominant and commercially effective middle era of content creation.
Major social platform (LinkedIn) announced detection/downranking of AI-generated content and independent detector studies report high prevalence of AI-written long-form posts; this affects content moderation, creator behaviour and platform ecosystems.
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Key Takeaways & Evidence Grounding
- LinkedIn announced it would detect and downrank generic, AI-generated content (referenced: "Keeping conversations real on LinkedIn").
- Pangram’s Chrome extension scanned more than 1 million posts across LinkedIn, X, Reddit, Substack and Medium between April and June, finding about one in four long-form posts flagged as fully AI-generated and 41% flagged on LinkedIn.
- Rival detector Originality.ai conducted its own LinkedIn analysis and reported similarly high prevalence of AI-generated content.
- Mark Ritson reports his Drum column initially measured about 55% AI-written by Pangram; he describes a workflow: Claude provided suggestions, he drafted, Claude tightened, and he rewrote multiple times before editorial changes.
Connected Companies & Entities
6 Entities mapped“Back in May, one of the vice presidents at LinkedIn published a post titled “Keeping conversations real on LinkedIn.”...”
“When Pangram, the AI detection software, ran that post through its detector, it was also flagged as AI-generated....”
“Between April and June, the Pangram Chrome extension scanned more than 1m posts across LinkedIn, X, Reddit, Substack and Medium....”
“Between April and June, the Pangram Chrome extension scanned more than 1m posts across LinkedIn, X, Reddit, Substack and Medium....”
“Between April and June, the Pangram Chrome extension scanned more than 1m posts across LinkedIn, X, Reddit, Substack and Medium....”
“Between April and June, the Pangram Chrome extension scanned more than 1m posts across LinkedIn, X, Reddit, Substack and Medium....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
In Defense of AI Slop
Evan Armstrong published an analysis on Substack arguing that so‑called “AI slop” is functionally useful and commercially viable. Using Pangram’s AI‑detection API (with research access) and assistance from the LLM Claude, Armstrong classified 3,229 Substack posts across a 371‑publication sample. He finds AI usage concentrated in information‑heavy categories (Tech/Finance/Business: 25–32% AI‑flagged) versus voice categories (Sports/Food/Politics/Art: 3–9%), and that readers do not penalize AI‑flagged posts (correlation between percent AI and reactions ≈ -0.005). A small set of publications (top 50) produce ~80% of the AI content; some fully synthetic newsletters sit among top performers and reportedly earn millions. Armstrong discloses heavy use of Claude in his own workflow and argues publishers whose product is “telling you something you didn’t know” face disruption unless they adapt. The piece is behind a Substack paywall.
AI Writing Vibe Shift Accelerates
The newsletter analyzes recent signals showing a shift in attitudes toward AI-generated writing: Substack is partnering with Pangram to detect AI-written posts, LinkedIn introduced a 'Seems Like AI Slop' feedback button, Anthropic announced an invisible watermark (and a watermark API) for Claude outputs to meet EU transparency rules, publishers and agents are drawing lines on suspected AI-authored manuscripts, and several tech companies and marketing teams are instituting internal guidelines discouraging AI-written copy. The piece frames these moves as part of a broader industry move toward transparency and protecting brand voice.
Morning Brew Founder Built a Claude-Powered Content Machine
Alex Lieberman (co‑founder of Morning Brew and co‑managing partner at Tenex/10X) described a productionized, AI-native “content machine” built on Claude/Claude Code. An “AI Oracle” scans the last seven days of internal systems (Slack, Notion, Gmail, meeting notes) plus followed internet sources to surface ~15 ranked content spikes daily. The pipeline uses a six‑persona AI Interview Panel with voice‑to‑text capture (Whisperflow) to elicit specifics, drafts in a codified personal‑voice markdown, and routes pieces through a six‑person Writers’ Council that revises drafts until they meet a high editorial score. Integrations include Slack, Notion, Linear, Git and Gmail, and a reinforcement loop captures lessons from published posts. Lieberman emphasized mapping workflows before automating and running employee advocacy programs (Tenex Creator Cup) as a durable distribution moat.
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