The New York Times is suing Perplexity for copyright infringement

The New York Times has filed a copyright-infringement suit against AI search startup Perplexity, alleging its RAG-based chatbots and Comet assistant reproduce NYT content verbatim or near-verbatim and seeking damages and an injunction. The action compounds a wave of publisher litigation (including News Corp and the Chicago Tribune) even as Perplexity offers publisher programs—notably Comet Plus which allocates 80% of a $5 monthly fee to participating outlets—and follows market-relevant precedents such as Anthropic’s $1.5 billion settlement, signalling rising licensing costs and legal risk for AI content providers.

Analysis

Market structure: Publishers (NYT, GETY, GCI) gain leverage — lawsuits + negotiated licensing create a growing, monetizable supply of curated training/response content; expect publishers to extract mid-single to low-double digit percentage fees on licensed queries within 6–18 months, improving their revenue mix. AI-native RAG operators (small search/chat startups) are losers: legal costs and potential settlements (see Anthropic $1.5B) compress margins and raise effective content input prices, favoring deep-pocketed platforms (AMZN, MSFT) that can underwrite licensing.

Risk assessment: Tail risk includes a precedent-setting court ruling that expands copyright liability for model training or forces retroactive licensing, which could impose $500M–$2B industry-wide liabilities over 12–24 months and spike equity vol. Near-term (days–weeks) expect id-driven headlines and stock moves around filings; medium-term (3–12 months) expect settlements and licensing deals to set price benchmarks; long-term (2+ years) a formal content-licensing market likely forms, structurally raising data costs.

Trade implications: Favor long exposure to paid-content owners and niche asset owners that can license (NYT, GETY) and selective long in strategic cloud partners (AMZN) that win distribution/licensing deals; use options to express views and hedge legal-event tail risk (short-dated puts on names exposed to lawsuits). Avoid/leverage-short small-cap pure-play RAG/search firms or private peers if accessible; rotate 3–6% portfolio from speculative AI names into media licensing plays over next 30–90 days.

Contrarian angles: Consensus assumes Big Tech will be unharmed; overlooked is that enforcement of paywalls + anti-scraping tech (Cloudflare confirmations) can materially raise marginal cost of model answers, advantaging licensors and platform partners but hurting ad-driven aggregators. The market may underprice licensing revenue upside for publishers (20–40% incremental gross margin on digital revenue over 12–24 months) while overpricing perpetual ‘fair use’ immunity for scrapers — creating mispricings to exploit with targeted longs and protective hedges.

Key Decisions for Investors

• Establish a 2–3% long position in NYT within 2 weeks (buy stock or 6–12 month 10% OTM calls). Target +15–25% upside in 6–12 months if licensing deals accelerate; set stop-loss at -10%.
• Allocate 1–2% to GETY (or 6–9 month 15% OTM calls) as a high-conviction beneficiary of image/content licensing; take profits if option position doubles or stock rises 30%.
• Initiate a 1% notional position in AMZN via 6–9 month 10% OTM calls (or trim existing short exposure), expecting platform licensing and infrastructure upside; reassess after 90 days or if new publisher deals stall.
• Buy 3–6 month MSFT 5% OTM puts sized ~0.5% of portfolio as tail insurance against adverse court rulings or regulatory shocks that could cause an 8–15% drawdown in large-cap AI-exposed names.
• Reduce 3–5% aggregate exposure to small-cap / pure-play RAG/search equities (names with >50% revenue tied to unlicensed content) and redeploy proceeds into NYT/GETY/AMZN over the next 30–90 days; monitor court rulings in next 60–120 days as catalyst to add or trim positions.