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A step-up in defensive site-level controls is changing the marginal economics of harvesting web signals. Expect procurement costs for high-frequency scraped data to rise materially — conservatively +20–50% over 6–12 months as firms either pay for official APIs or invest in resilient headless/browser farms, which shifts margin from nimble scrapers to infrastructure/security vendors. This reallocation creates clear second-order winners: CDN and bot-management vendors capture recurring revenue and higher ARPU per customer, while boutique scrapers, alt-data aggregators and downstream quant strategies that relied on cheap, high-cadence public scraping are losers. Latency-sensitive applications (real-time ad bidding, intraday retail quant signals) will see degraded signal availability first — expect a 10–30% drop in usable event volume in the next 3–6 months, forcing model rewrites or wider execution slippage assumptions. Catalysts that will accelerate or reverse this trend are straightforward: large publishers standardizing paid APIs and enterprise bot blocks will entrench winners within 3–12 months, while breakthroughs in evasion tech or legal rulings favoring scraping could restore the old equilibrium within a similar timeframe. Tail risks include regulatory intervention around “fair data” or major CDN outages that temporarily scramble downstream ad/analytics flows. For portfolio construction this is an infrastructure consolidation theme, not a content play; position sizing should assume mean reversion in data availability and price-in a 20–40% implementation cost for strategies that must rebuild signals.
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