| Query | GT 2023 | GT 2024 | GT 2025 | GT 2026 | Trajectory |
|---|---|---|---|---|---|
| "AI bubble" | 4 | 7 | 50 | 100 (peak) | ↑ STRUCTURAL |
| "AI costs" | 1 | 2 | 36 | 100 (peak) | ↑ STRUCTURAL |
The phenomenon under analysis is not artificial intelligence itself, but the emergence of structured public concern about its financial sustainability. The distinction matters: attention for "artificial intelligence" peaked on Wikipedia in July 2023 at 715,551 views/month and has since declined to 304,218 (June 2026, −58%). Meanwhile, attention for "AI bubble" went from near-zero to 93,459 views/month (November 2025), and "AI costs" on Google Trends went from 0 to 100 between 2023 and 2026. The hype curve is cooling. The scrutiny curve is rising. The gap between these two trajectories is the Sustainability Gap.
The Sustainability Gap is defined as the time between the emergence of a dominant technology narrative and the structural consolidation of financial sustainability concerns about that technology. For artificial intelligence, the key events are documented below.
The Reality Check Ratio measures what proportion of attention for a technology is critical attention. It is calculated as Wikipedia pageviews for the scrutiny signal ("AI bubble") divided by pageviews for the technology itself ("Artificial intelligence"), expressed as a percentage. When the Ratio crosses 10%, the investment consensus is no longer structurally uncontested.
| Period | "Artificial intelligence" views/mo | "AI bubble" views/mo | Reality Check Ratio |
|---|---|---|---|
| H2 2023 | ~580,000 | ~2,000 | 0.3% |
| H1 2024 | ~375,000 | ~8,000 | 2.1% |
| H2 2024 | ~340,000 | ~18,000 | 5.3% |
| H1 2025 | ~330,000 | ~28,000 | 8.5% |
| H2 2025 | ~320,000 | ~70,000 | 21.9% |
| H1 2026 | ~335,000 | ~55,000 | 16.4% |
The single strongest data point in this report is not about AI at all. In October 2025, the Wikipedia page for "Dot-com bubble" recorded 138,450 views — the highest monthly pageview count in the article's entire history. People were not just questioning AI economics. They were actively searching for the most relevant historical precedent. The informational curiosity spike for a 25-year-old financial crisis, occurring simultaneously with AI scrutiny peaks, is the clearest available signal that the market's pattern-matching apparatus has engaged.
1. The Gap is the risk window. For 27 months, over $750 billion in AI infrastructure capital was committed during a period of structurally uncontested consensus. Capital deployed inside the Gap is priced on enthusiasm. Capital deployed after the Gap closes is priced on scrutiny. The economic characteristics of these two phases differ materially: valuations, cost of capital, tolerance for negative unit economics, and willingness to fund pre-revenue companies all shift when the Reality Check Ratio crosses 10%.
2. The scrutiny signal leads the correction. Wikipedia "AI bubble" peaked in November 2025. "Dot-com bubble" peaked in October 2025. Both peaks preceded any sustained market correction. The informational curiosity spike precedes the repricing event. This is consistent with the broader Zorthex finding that attention diffusion is a leading indicator of institutional behavior — not a trailing one.
3. The cost signal lags the bubble signal. "AI costs" on Google Trends reached 100 in 2026, approximately 6–12 months after "AI bubble" crossed structural thresholds. This two-phase pattern suggests that financial narrative (bubble/not-bubble) consolidates first among investors and financial press, followed by operational cost awareness among enterprise adopters. For alternative data applications, the bubble signal is the leading indicator; the cost signal is the confirming indicator.
4. The Ratio is replicable. The Reality Check Ratio can be calculated for any emerging technology or investment theme where a hype query and a scrutiny query both exist on Google Trends and Wikipedia. Quantum computing, biotech, autonomous vehicles, blockchain — each has both a technology curve and a scrutiny curve. The gap between them, measured across three sources, is a structural property of every technology cycle. Zorthex can measure it.
This report demonstrates the feasibility of a Sustainability Gap Index: a real-time metric measuring the distance between technology enthusiasm and financial scrutiny for any emerging technology or investment theme. The index requires two inputs: a technology attention query and a scrutiny/cost concern query. The ratio between them, cross-referenced with Wikipedia pageviews and Reddit community assessment, produces a three-source verified gap measurement.
The index is descriptive, not predictive. It measures when consensus breaks, not what happens after. Two curves, one ratio, one time. No estimates — only verified public attention data in real time.
This report does not predict whether AI is a financial bubble or when a correction will occur. It measures the temporal gap between enthusiasm and scrutiny. Descriptive only.
Google Trends data is at annual granularity. Monthly data would provide sharper L estimates. The 27-month Gap figure is approximate (±3 months).
The Reality Check Ratio uses Wikipedia pageviews as a proxy for public scrutiny. Wikipedia editors' decisions to create, merge, or redirect pages affect the signal. The "AI bubble" article was created in 2025; pageview data before that date uses the proxy page "AI boom."
Reddit assessment is qualitative (narrative direction, community maturity), not quantitative. No vote counts or post frequencies are cited.
The $750 billion capex figure is compiled from public reporting (hyperscaler earnings, Financial Times analysis, Gartner projections). It is an order-of-magnitude estimate, not an audited figure.
The 10% Reality Check Ratio threshold is observational, not theoretical. It is derived from this single case study. Additional cases (dot-com, crypto, biotech) would be required to validate or adjust the threshold. This report presents it as a hypothesis, not a calibrated parameter.
| Data | Source | Level | Date |
|---|---|---|---|
| Google Trends "AI bubble" | Zorthex app · CSV download · Worldwide | Primary | Jul 11, 2026 |
| Google Trends "AI costs" | Zorthex app · CSV download · Worldwide | Primary | Jul 11, 2026 |
| Wikipedia pageviews (4 pages) | Wikimedia REST API · en.wikipedia · monthly | Primary | Jul 11, 2026 |
| Reddit community assessment | Qualitative · r/wallstreetbets, r/stocks, r/technology, r/earlyretirement | Qualitative | Jul 2026 |
| OpenAI financial data | Financial Times analysis · company disclosures | Secondary | Jul 2026 |
| NBER AI productivity study | DOI: 10.3386/w34836 · Yotzov, Barrero, Bloom et al. | A | Feb 2026 |
| Hyperscaler capex data | Gartner · company earnings reports · FactSet | Secondary | 2025–2026 |
| Sora shutdown | OpenAI announcement · TechTarget reporting | A | Mar 24, 2026 |
| Zorthex Dataset v2.0 | DOI: 10.5281/zenodo.20589503 | Published | 2026 |