Go Ahead And Use AI. It Will Only Help Me Dominate You.

The author strongly endorses professional writers' use of AI, framing it as a practical competitive advantage and ridiculing critics who warn of 'cognitive surrender.' The piece is sarcastic and combative in tone and carries no direct financial metrics or immediate market impact; its relevance is conceptual for the AI/technology and media content-production sectors.

Analysis

The piece reframes AI-assisted writing as a structural supply shock to written content rather than a mere productivity tool — cheap, high-volume output will flood attention markets, compressing CPMs for undifferentiated publishers within 6–12 months. That creates a two-tier market: commoditized content where scale and cost-per-word dominate (winners are platforms and infra providers), and a scarcity market for genuinely distinctive, human-authored voice where scarcity yields outsized subscription economics and pricing power.

Second-order effects matter: as low-quality articles proliferate, SEO and discovery algorithms will either (A) reward novelty and authority — concentrating traffic to a smaller set of trusted brands/creators — or (B) be gamed into noise, prompting search/aggregator platforms to invest in detection and quality-ranking tech (a capex and algorithmic win for large AI/cloud vendors). Expect talent reallocation: mid-tier writers become cheaper to hire or are replaced by freelancers/operators who package unique takes; top-tier writers capture higher CPM/subscription shares, widening the creator income distribution in 12–36 months.

Key risks that could reverse these dynamics are regulatory or technical: effective provenance/labeling rules, cheap detection models, or a consumer backlash that re-prices authenticity within 3–24 months. Conversely, continued model performance gains and falling inference costs (driven by GPU cadence and model efficiency) will accelerate commoditization. The tactical implication: own the plumbing and the premium brands/creators, avoid scale-dependent ad-driven publishers with weak brand moats.

Key Decisions for Investors

• Long NVDA (NVDA) — buy shares or 6–9 month call spreads to play sustained GPU demand for inference and fine-tuning. Reward: high single-digit to >2x upside if enterprise adoption and model refresh cycles continue; Risk: 20–30% downside if capex pauses or competitors gain share. Use a 15% trailing stop or hedge with short-dated puts if buying outright.
• Long MSFT (MSFT) — buy 12–24 month calls or add to core position to capture Azure + Copilot monetization as publishers and platforms migrate workloads to cloud. Reward: stable revenue mix uplift and high gross margins; Risk: regulatory or macro-driven ad softness compressing sentiment. Target 15–25% IRR horizon; consider selling covered calls to finance exposure.
• Pair trade: Long NYT (NYT) / Short BuzzFeed (BZFD) size 1:1 — 6–12 month horizon. Rationale: differentiated, subscription-based journalism benefits from demand for authentic voice while ad-reliant, low-moat publishers suffer CPM deflation. Risk/reward: asymmetric — NYT upside if subscriber ARPU rises 10–15%, BZFD downside >30% if ad collapse continues; set stop-losses at 12% on either leg.
• Short low-quality content aggregators or digital ad-exposed names (select high ad-rev % names) and hedge by buying platform ad-exposure (GOOGL or META) — 3–12 month horizon. Mechanism: shift of ad dollars to platforms that can better target scarcity attention and sell AI-enabled ad products. Risk: platforms are also cyclically exposed to ad spend; cap pair size to 2–4% NAV and use options to limit downside.