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Friction in direct web access is an underappreciated supply shock to alternative-data pipelines: more aggressive bot mitigation and JS-based fingerprinting raises the marginal cost of collecting high-frequency signals (proxies, headless browsers, operator time) by an estimated 3–5x and increases effective latency by days for many datasets. That degradation will compress edge alpha for quant strategies that rely on low-cost scraping, forcing a migration to paid APIs, partnerships, or first-party telemetry over the next 3–18 months. Winners are firms that sit between publishers and collectors — CDNs, cloud WAF/bot-mitigation vendors and API platforms — because publishers will monetize access rather than subsidize it. Expect a 12–24 month incremental TAM reallocation of $1–4bn toward those vendors as publishers convert friction into subscription revenue or outsourcing deals; incumbents with integrated security+delivery stacks capture the bulk due to switching costs. Primary downside is to small/medium quant/data boutiques and any systematic strategy whose edge is ephemeral scraped signals: we should model a 30–70% erosion in signal quality and a doubling of data acquisition costs within a year for these players. Catalysts that could accelerate the trend are high-profile lawsuits or regulation clarifying publisher ownership of derivative datasets, while a technical arms race in headless-browser tooling or widespread use of paid residential proxies would materially blunt the vendors’ pricing power. Contrarian angle: the market will underprice the revenue upside to infrastructure/security names because most investors treat scraping friction as a nuisance, not a predictable spend shift. If publishers opt for paid access rather than blocking, the result is recurring, sticky revenue with >60% gross margins — a classic software-like re-rating opportunity over 12–36 months if managements execute on packaging API offerings and channel sales.
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