Assumptions, model disagreement, and rethink triggers, updated weekly before your PM, risk, or IC discussion. Currently accepting one macro thesis and one AI-economy thesis for July.
4-model average
building category history
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43pt spread
Consensus sits at 40% across the four models and is — (loading). Models are diverging at a 43pt spread, so the average conceals live disagreement worth inspecting below. Category confidence is LOW (building category history).
Confidence reflects category-level track record. Stability tracks estimate movement. Models shows whether the four agree.
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Current trends indicate rapid advancements in AI technology and significant investments in AI content generation tools, which are likely to increase their prevalence on the web. As of 2023, a study by Gartner projected that 50% of content will be AI-generated by 2025, suggesting a swift upwards trajectory. Given the accelerating pace of AI adoption and the economic incentives for businesses to use AI for content creation, a probability of over 30% by 2028 appears plausible.
While the proliferation of AI-generated content is rapidly increasing, reaching over 30% of Google's indexed pages by 2028 faces significant headwinds. Google's ongoing efforts to detect and devalue low-quality AI-generated content, coupled with the inherent limitations in scaling truly novel and valuable AI content production to that level across the entire web, make this threshold a challenging one. Historical trends in information creation and indexing suggest a gradual, rather than explosive, shift in the composition of indexed content.
Current estimates suggest 4-10% of indexed web content is AI-generated as of 2024, with growth accelerating but facing friction from quality concerns, spam detection, and policy responses. Reaching 30% by 2028 requires a 3-7.5x increase over 4 years, implying 30-60% annual growth in AI content generation relative to total indexing. While AI tool adoption is rapid, Google actively deindexes low-quality AI content, sites face SEO penalties for AI spam, and the EU AI Act creates compliance barriers that will slow large-scale AI publishing. Historical precedent shows mainstream adoption timelines typically extend 5-7 years; 4 years is compressed for reaching a system-altering threshold (30% of all indexed content).
Current estimates from Common Crawl and Stanford's 2024 AI Index show AI-generated text comprises ~3-8% of new web content, with Google's own 2023 spam report flagging only 0.3% as "useless AI spam"; even assuming exponential growth at 40% CAGR observed in GPT API usage, total share would reach ~25% by 2028 before quality filters and Google's Helpful Content Update remove low-value pages. Historical precedent shows Google's index quality controls have capped low-value content growth below 15% in prior spam waves (2009-2012). Structural factors include Google's 2024 policy requiring disclosure of AI content and planned ranking demotions for unoriginal material.