01 · Where are we now?
Five clocks,
not one speedometer.
No composite “science speed” score. Each layer answers a different question and can move without the others.
Capacity
R&D money and researchers make work possible; they do not guarantee discovery.
Recorded output
Indexed articles count publication, not importance or reliability.
Results that travel
Replication, inspectable data and software test whether findings hold.
Use beyond laboratory
Clinical and regulatory gates remain after discovery.
Demonstrated gain
Benchmarks and experiments—not forecasts—show bounded task improvement.
Structural capacity
Global intensity and output, with unequal country contributions.
Institutional context
Dutch investment plus European open-science standards.
Mechanism comparison
United States scale and Korean intensity; not a league table.
02 · What direction are we moving?
Inputs and papers rose.
Meaning needs another measure.
World Bank series show world R&D intensity at 2.60% of GDP and 3.27 million indexed science and engineering articles in 2023. Coverage and definitions travel with those values.
Official annual observations
R&D expenditure · latest available
View chart as data
| Geography | Year | Value | Unit |
|---|---|---|---|
| World | 2023 | 2.5974 | % of GDP |
| Netherlands | 2023 | 2.2672 | % of GDP |
| United States | 2023 | 3.4472 | % of GDP |
| Korea | 2023 | 4.9435 | % of GDP |
Source: World Bank / UNESCO UIS, R&D expenditure, 2000–2023 ↗ · Scope & caveats ↓
Paired publication figure
More knowledge—or more throughput?
Complete annual table
| Year | Articles |
|---|---|
| 2000 | 1,070,967 |
| 2001 | 1,109,574 |
| 2002 | 1,154,717 |
| 2003 | 1,213,775 |
| 2004 | 1,324,894 |
| 2005 | 1,484,401 |
| 2006 | 1,570,081 |
| 2007 | 1,636,696 |
| 2008 | 1,725,502 |
| 2009 | 1,827,111 |
| 2010 | 1,909,442 |
| 2011 | 2,003,515 |
| 2012 | 2,062,566 |
| 2013 | 2,125,848 |
| 2014 | 2,195,344 |
| 2015 | 2,252,543 |
| 2016 | 2,336,757 |
| 2017 | 2,425,390 |
| 2018 | 2,522,113 |
| 2019 | 2,708,531 |
| 2020 | 2,868,013 |
| 2021 | 3,111,013 |
| 2022 | 3,220,952 |
| 2023 | 3,271,296 |
Source: World Bank / NSF NCSES, journal articles, 2000–2023 ↗ · Scope & caveats ↓
Growth predates ChatGPT. The 2022 marker is context, not attribution. 2024 count growth was 6.3%. These are papers about AI, not AI-generated or AI-assisted papers. No trustworthy global annual AI-generated-paper series exists: disclosure is inconsistent and detectors are unreliable.
Complete annual table
| Year | Publications | AI share of CS |
|---|---|---|
| 2013 | 101,885 | 21.63% |
| 2014 | 104,409 | 21.75% |
| 2015 | 105,741 | 21.67% |
| 2016 | 107,269 | 21.97% |
| 2017 | 116,937 | 23.42% |
| 2018 | 139,711 | 25.84% |
| 2019 | 164,199 | 28.71% |
| 2020 | 181,107 | 30.31% |
| 2021 | 204,054 | 36.01% |
| 2022 | 202,734 | 39.03% |
| 2023 | 242,664 | 41.76% |
| 2024 | 257,891 | 40.94% |
Source: Stanford HAI, 2026 AI Index Figure 1.6.1, 2013–2024 ↗ · Scope & caveats ↓
Method boundary: OpenAlex + CSO Classifier v3.3; English-language publications with a CS label. Cross-disciplinary AI may be undercounted; topic labels overlap; metadata and venue assignment lag. Category and venue switchers omitted because labels do not stack cleanly.
Interpretation: Volume measures activity and throughput—not quality, reliability, translation, AI authorship or social benefit. Read it with replication, open-science, FDA translation and AlphaFold evidence below.
Boundary: article counts can rise because researcher numbers, indexing, collaboration or incentives change. They are not a discovery-speed measure.
03 · Who benefits or carries cost?
Capacity clusters.
Open infrastructure changes who can participate.
R&D intensity differs sharply even among high-income countries. Absolute article counts additionally reflect country size. Open data and research software can lower access friction, but UNESCO's recommendation measures a standard—not adoption or impact.
Data, software and source code belong in open scientific knowledge.
That makes methods more inspectable and reusable.
Intensity and scale answer different questions.
Korea's R&D share exceeds the U.S. share; U.S. article volume is much larger. Neither proves higher discovery quality.
04 · Competing explanations
More output can mean
more science—or more counting.
100 psychology studies were repeated; 36% of replications were statistically significant.
This sampled field result warns against treating publication as reliable discovery. It is not an all-science replication rate.
Discovery is first gate, not finish line.
FDA separates discovery, preclinical work, clinical research, review and post-market monitoring. Faster modelling does not erase safety and efficacy work.
Rivals: more researchers, broader indexing, collaboration and publication incentives can all lift output. Higher complexity, cost and safeguards can slow translation even when discovery tools improve.
05 · What would change our conclusion?
Show reliable gains
across whole pathways.
AlphaFold changed protein-structure prediction.
Across 87 CASP14 domains, median backbone error was 0.96 Å versus 2.8 Å for the next-best method. Strong task evidence; not experimental confirmation, drug approval or clinical benefit.
- Faster hypothesis-to-independent-replication times across fields without weaker standards.
- Shorter clinical stages with safety and efficacy maintained.
- Repeated AI studies that transfer from task metrics to validated discoveries.
- Broader access to capacity, data and software—not only concentration.
AI may compress search and modelling while moving bottlenecks to validation.
Open data and software may compound reuse and verification.
No comparable global series measures idea-to-reliable-adoption time across fields.
Method & source ledger
Every claim keeps
its scope and role.
Official API observations refresh deterministically. Papers, benchmarks and normative sources stay manually curated. Script fails closed when indicator identities, countries, pages or observation counts change.
World Development Indicators: R&D expenditure
World Bank / UNESCO UIS · official statistical series · 2000–latest
Open source ↗World Development Indicators: scientific journal articles
World Bank / NSF NCSES · official statistical series · 2000–latest
Open source ↗2026 AI Index, Figure 1.6.1
Stanford HAI · OpenAlex + CSO Classifier v3.3 · 2013–2024
Open report ↗Estimating the reproducibility of psychological science
Open Science Collaboration · peer-reviewed primary study · 2015
Open source ↗Highly accurate protein structure prediction with AlphaFold
DeepMind / CASP collaborators · peer-reviewed benchmark · 2021
Open source ↗Recommendation on Open Science
UNESCO · official normative framework · 2021
Open source ↗The Drug Development Process
U.S. FDA · official regulatory guidance
Open source ↗