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A step-up in site-level anti-automation controls raises the marginal cost of harvesting public web signals: more engineering hours, higher proxy/CDN fees, and increased license spend for vendors that offer ‘clean’ APIs. Quant funds that rely on high-frequency DOM scraping will see alpha compress first (weeks–months) as noisy signals drop out and sample sizes shrink, while discretionary teams that can pay for curated feeds will preserve edge. Infrastructure suppliers that remove the operational friction (CDNs with integrated bot management, cloud security vendors, and data marketplaces offering standardized APIs) are positioned to capture recurring revenue and higher ARPU. Conversely, small web-analytics and DIY scraping boutiques face client churn; expect consolidation among mid-tier data vendors over 6–18 months as buyers trade capex/ops for predictable SaaS invoices. Catalysts that will re-rate the landscape include browser/OS policy changes, a high-profile lawsuit or regulation on automated access, and the emergence of reliable headless-browser fingerprinting workarounds. A contrarian angle: this isn’t primarily negative for alpha — it raises barriers to entry and shifts edge toward funds that invest in relationships with primary data owners or pay for first-party APIs, concentrating returns in larger, better-capitalized operators over 12–24 months.
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