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2026-04-25 23:12:12

Charted: AI Articles Have Overtaken Human-Written Ones

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AI-written articles have gone from a small share of the web to a majority of sampled articles in just five years.

This visualization is part of Visual Capitalist’s AI Week, sponsored by Terzo. It visualizes monthly data from Graphite, which studied 65,000 English-language URLs from Common Crawl and tracked how the share of AI-generated articles changed between January 2020 and May 2025.

When AI-Written Articles Passed Human-Written Ones

In January of 2020, 97.8% of written content analyzed by Graphite was written by humans, with just 2.2% written by AI. One year after ChatGPT’s launch, in November 2023, AI-written content had risen to make up 39%.

The data table below shows the estimated share of sampled published web articles classified as human-written versus AI-generated over time from January 2020 to May 2025:

According to Graphite, AI-generated articles eventually surpassed human-written ones in November 2024, marking a major turning point in web publishing. As of May 2025, AI-written articles accounted for 51.7% of Graphite’s sample, slightly above the human-written share.

A Plateau After Rapid Growth

While AI-written content grew quickly, the trend has leveled off more recently. Graphite found that the proportion of AI-generated articles has remained relatively stable since May 2024, suggesting that the first wave of explosive adoption may have cooled.

Importantly, this does not mean most web traffic goes to AI-written content. Graphite notes that publishing volume and audience visibility are different measures, and AI-generated articles appear less visible in Google and ChatGPT than their prevalence in published articles suggests.

How Articles Were Classified

Graphite split each article into 500-word chunks and used Surfer’s AI detector to estimate how much of it was AI-written. An article was labeled AI-generated if more than 50% of its content was flagged as AI-written.

This study focused specifically on English-language articles and listicles, not all online content. To be included, URLs had to have article schema markup, contain at least 100 words, and have publish dates between January 2020 and May 2025.

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If you enjoyed today’s post, check out The Jobs Most Exposed to Generative AI on Voronoi.

2026-04-25 21:22:18

Mapped: The States Where Businesses Use AI Most

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AI adoption among U.S. businesses is spreading beyond the country’s traditional tech hubs.

In 2026, Colorado and Arizona report the highest shares of businesses using AI, while California ranks 13th nationally. At the other end of the list, West Virginia, Arkansas, and North Dakota have some of the lowest adoption rates.

This visualization is part of Visual Capitalist’s AI Week, sponsored by Terzo. It maps AI adoption by businesses by state in 2026 using data from the U.S. Census Bureau’s Business Trends and Outlook Survey (BTOS), averaged across six releases published from January 15, 2026 to March 26, 2026.

Where Business AI Adoption Is Highest in the U.S.

Colorado tops the country with 23.2% of businesses adopting AI on average in 2026. It’s followed closely by Arizona (22.9%) and Washington, D.C. (22.5%), with Oregon and Utah tied for fourth at 21.1%.

The data table below shows the share of businesses by state that are using AI in their workflows in 2026:

Rank	State or District	Share of businesses reporting AI use in any business function in 2026
1	Colorado	23.2%
2	Arizona	22.9%
3	District of Columbia	22.5%
4	Oregon	21.1%
5	Utah	21.1%
6	Nevada	20.9%
7	Florida	20.9%
8	Maryland	20.7%
9	Washington	20.4%
10	Delaware	20.0%
11	Minnesota	19.8%
12	Texas	19.8%
13	California	19.5%
14	Massachusetts	19.4%
15	North Carolina	18.6%
16	Virginia	18.4%
17	South Carolina	18.3%
18	Georgia	18.2%
19	Montana	18.2%
20	Rhode Island	18.0%
21	Wyoming	17.8%
22	Ohio	17.8%
23	Tennessee	17.7%
24	New Hampshire	17.7%
25	Maine	17.5%
26	Missouri	17.5%
27	South Dakota	17.5%
28	Indiana	17.4%
29	Idaho	17.0%
30	Illinois	16.8%
31	Hawaii	16.4%
32	Wisconsin	16.1%
33	Pennsylvania	16.1%
34	Connecticut	16.0%
35	Kentucky	16.0%
36	New Jersey	15.9%
37	Alabama	15.7%
38	New York	15.3%
39	Michigan	15.2%
40	Nebraska	15.0%
41	Kansas	15.0%
42	Louisiana	14.5%
43	Alaska	14.4%
44	Mississippi	14.4%
45	New Mexico	14.1%
46	Vermont	14.0%
47	Iowa	13.8%
48	Oklahoma	13.3%
49	North Dakota	12.3%
50	Arkansas	11.8%
51	West Virginia	10.8%
--	U.S. Average	18.2%

The leaderboard is dominated by Western and Mountain states. Nine states and D.C. report AI use at 20% or above, with most of them west of the Mississippi. California, often assumed to be the AI heartland, ranks 13th at 19.5%—above the national average of 18.2% but still behind the leading states.

A few non-Western standouts appear near the top. Maryland (20.7%) and Delaware (20.0%) benefit from proximity to federal agencies and the mid-Atlantic professional services corridor. Florida (20.9%) and Texas (19.8%) reflect the Sun Belt’s rapid growth in tech employment and startup formation over the past several years.

Where AI Usage Still Lags in America

At the other end of the map, West Virginia trails every state at 10.8%, followed by Arkansas (11.8%), North Dakota (12.3%), Oklahoma (13.3%), and Iowa (13.8%). Vermont (14.0%) and New Mexico (14.1%) round out the bottom seven.

These states share a common profile: smaller average firm sizes, heavier concentrations in agriculture, extraction, and manufacturing, and fewer professional services businesses—the sectors that have driven most AI adoption so far. Vermont is a partial exception, but its small-business-heavy economy tracks with the broader pattern.

Several large-population states also sit below average. New York reports just 15.3% AI use, Michigan 15.2%, and New Jersey 15.9%. Despite dense corporate footprints, their economy-wide averages are pulled down by the long tail of small firms that have been slower to deploy AI tools.

Firm Size Shows a Big Divide in AI Adoption

The state-to-state spread is wide, but the gap between large and small businesses is wider. Businesses with 250 or more employees report 32.5% AI use on average. Businesses with just 5 to 9 employees report 17.3%.

In other words, business size appears to matter even more than geography. The gap between large and small firms is bigger than the gap between the highest-adoption state, Colorado, and the lowest, West Virginia. Larger firms have the IT staff, vendor relationships, and structured workflows that make it easier to pilot and scale AI. Smaller firms face a steeper cost-per-seat and often rely on whatever AI is bundled into the software they already use.

As off-the-shelf AI gets cheaper and more embedded in everyday tools, the size gap is likely to narrow. But as of early 2026, where a business operates matters less for its AI adoption than how big it is.

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If you enjoyed today’s post, check out which countries lead AI Adoption in Europe on Voronoi.

2026-04-25 19:12:32

Mapped: Where Gas Prices Have Surged Over 100%

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Gasoline prices are rising worldwide, but in some countries the increase has been extreme. In the hardest-hit countries, fuel costs have more than doubled in just a few weeks, underscoring how sharply energy markets can react to geopolitical shocks.

This map, created by Iswardi Ishak using data from Global Petrol Prices, tracks changes in gasoline costs across 128 countries between February 23 and April 13, 2026, following the outbreak of the Iran conflict.

The sharpest increases are clustered in a handful of regions, particularly across Southeast Asia, where reliance on imported fuel has amplified the impact. If disruptions persist, these price pressures could continue to build, particularly in regions most dependent on imported fuel.

Where Gas Prices Are Rising the Fastest

The countries below have seen the steepest gasoline price increases since late February, with several experiencing rapid double-digit—and even triple-digit—growth.

Southeast Asia accounts for half of the top 10 largest gasoline price increases. Myanmar leads globally with a staggering 101% surge, followed by the Philippines and Malaysia.

Rank	Location	Gasoline Price Changes (Feb 23–Apr 13, 2026)
1	Myanmar	101.1%
2	Philippines	72.6%
3	Malaysia	68.1%
4	Laos	45.6%
5	Zimbabwe	42.9%
6	Pakistan	42.0%
7	United Arab Emirates	40.8%
8	Cambodia	40.4%
9	Nepal	39.5%
10	Panama	38.5%
11	Guatemala	37.7%
12	Tanzania	37.0%
13	Peru	35.6%
14	United States	35.1%
15	Malawi	34.4%
16	New Zealand	34.0%
17	Sri Lanka	33.8%
18	Lebanon	32.6%
19	Lesotho	31.6%
20	Puerto Rico	29.7%
21	Honduras	29.7%
22	Thailand	29.3%
23	Australia	29.3%
24	Canada	28.9%
25	China	28.0%
26	Morocco	26.9%
27	Czech Republic	25.3%
28	Moldova	25.0%
29	Chile	24.7%
30	Bosnia and Herzegovina	24.7%
31	Andorra	23.1%
32	Sierra Leone	22.8%
33	Vietnam	22.6%
34	Lithuania	21.9%
35	Sweden	21.7%
36	Argentina	21.4%
37	Bulgaria	21.3%
38	Paraguay	21.1%
39	Estonia	21.1%
40	El Salvador	20.6%
41	Belgium	20.1%
42	United Kingdom	20.0%
43	France	19.8%
44	Mayotte	18.7%
45	Greece	18.6%
46	Germany	18.6%
47	Jamaica	18.2%
48	Taiwan	18.1%
49	Latvia	17.7%
50	Ukraine	17.5%
51	Ghana	16.8%
52	Georgia	16.7%
53	South Korea	16.5%
54	South Africa	16.5%
55	Netherlands	16.5%
56	Israel	16.4%
57	Iceland	16.4%
58	Aruba	16.1%
59	Luxembourg	16.0%
60	Jordan	15.9%
61	Rwanda	15.8%
62	Liechtenstein	15.8%
63	Cyprus	15.8%
64	Denmark	15.3%
65	Curacao	15.3%
66	Cape Verde	15.2%
67	Fiji	14.9%
68	Croatia	14.9%
69	Egypt	14.3%
70	Guyana	14.1%
71	Austria	13.9%
72	Suriname	13.4%
73	Singapore	13.3%
74	Portugal	13.3%
75	Slovakia	13.0%
76	Slovenia	12.8%
77	Namibia	12.8%
78	Grenada	12.5%
79	Romania	12.3%
80	Switzerland	11.6%
81	Macedonia	11.6%
82	Montenegro	11.5%
83	Qatar	10.8%
84	Mexico	10.1%
85	Finland	9.6%
86	Ecuador	9.6%
87	Cayman Islands	9.6%
88	Turkey	9.5%
89	Hong Kong	9.1%
90	Japan	8.2%
91	Ireland	8.2%
92	Bahrain	7.7%
93	Brazil	7.5%
94	Italy	7.2%
95	Poland	6.8%
96	Serbia	6.7%
97	Hungary	6.4%
98	Uruguay	5.8%
99	Dominican Republic	5.2%
100	Spain	4.6%
101	Indonesia	2.8%
102	Belarus	2.7%
103	Norway	2.1%
104	Russia	1.5%
105	Costa Rica	0.8%
106	Wallis and Futuna Islands	0.7%
107	Tunisia	0.0%
108	Saudi Arabia	0.0%
109	Saint Lucia	0.0%
110	Oman	0.0%
111	Nicaragua	0.0%
112	Mozambique	0.0%
113	Mauritius	0.0%
114	Malta	0.0%
115	Kuwait	0.0%
116	Kenya	0.0%
117	Côte d'Ivoire	0.0%
118	Cameroon	0.0%
119	Burkina Faso	0.0%
120	Bolivia	0.0%
121	Benin	0.0%
122	Bangladesh	0.0%
123	Algeria	0.0%
124	India	-0.1%
125	Colombia	-0.7%
126	Barbados	-1.1%
127	Zambia	-2.6%
128	Madagascar	-3.9%

Several Southeast Asian countries are posting increases above 40%, placing the region at the center of the global price surge.

This region’s vulnerability is closely tied to its reliance on oil imports flowing through the Strait of Hormuz—one of the world’s most critical chokepoints. Disruptions here can quickly ripple across Asian markets.

Compounding the issue, many Southeast Asian economies lack domestic energy buffers, making them especially sensitive to price volatility and shipping risks.

Africa’s Rising Cost Burden

While Southeast Asia dominates the rankings, several African nations—including Zimbabwe, Tanzania, and Malawi—are also seeing fuel prices climb more than 30%.

For these economies, higher gasoline prices translate directly into increased transportation and living costs. In regions where incomes are lower and energy imports are essential, these spikes can quickly strain households and businesses alike.

Southern and eastern Africa, in particular, are facing a dual challenge: rising fuel costs and limited infrastructure to cushion supply disruptions.

Energy Shock Spreads to Food Systems

The impact of rising gasoline prices extends well beyond the pump. Energy is a key input in fertilizer production, and higher oil and gas prices are already pushing fertilizer costs upward.

This creates a direct cost shock across global agriculture, raising production expenses and increasing the likelihood of higher food prices in the months ahead, especially in import-dependent economies.

Learn More on the Voronoi App

For a closer look at how Europe is navigating this energy disruption, check out Europe’s Fuel Index: Tracking the Iran War Shock on the Voronoi app.

2026-04-25 13:02:31

Ranked: What Makes Europeans Most Proud of Their Country?

What people take pride in says a lot about how they see their country.

Across Europe, those sources range from culture and history to political systems and personal freedoms. But in some countries, a notable share of people say they feel little pride at all.

This visualization by The European Correspondent, based on Pew Research Center data, breaks down the top three sources of national pride in each country surveyed.

Top Sources of National Pride, by Country

Here’s a closer look at the top three sources of national pride cited by adults in each country:

Country	Top Source	Second Source	Third Source
Sweden	Politics (53%)	Landscape (32%)	People (26%)
Italy	Culture (38%)	Landscape (24%)	People (23%)
Greece	History (37%)	People (31%)	Negative feeling (19%)
Germany	Politics (36%)	Economy (18%)	Freedom (16%)
Spain	People (32%)	Negative feeling (25%)	Culture (16%)
UK	Negative feeling (29%)	People (25%)	Politics (22%)
France	Culture (26%)	People (24%)	Freedom (22%)
Netherlands	Freedom (24%)	Economy (21%)	Politics (21%)
Hungary	Negative feeling (23%)	History (21%)	People (20%)
Poland	Identity (21%)	History (20%)	People (18%)
Türkiye	People (20%)	History (12%)	Identity (10%)

Culture dominates in countries like Italy (38%) and France (26%), while history plays a major role in Greece (37%). Meanwhile, Sweden stands out with 53% citing politics—by far the highest single-category share.

The Core Drivers of Pride Across Europe

In much of Europe, national pride is rooted in shared identity and heritage. Southern European countries like Italy and Greece emphasize culture and history, reflecting their deep historical legacies and global cultural influence.

Elsewhere, people themselves are a key source of pride. Spain (32%) and France (24%) rank highly in this category, suggesting a strong sense of national community and social cohesion.

Where National Pride Is Weakest

Not all sentiment is positive. In the UK, 29% of respondents cite “negative feeling” when describing their country, which is higher than any single positive category. Hungary (23%) and Spain (25%) also show notable shares of dissatisfaction.

This aligns with broader research. According to Pew, individuals who express less pride are often those who do not identify with the governing political parties. In the UK specifically, findings from British Social Attitudes surveys suggest national identity has become more fragmented in recent years, often tied to political divisions.

These dynamics help explain why politics can be both a source of pride—as in Sweden—and frustration, as seen elsewhere.

Politics as a Source of Pride—and Division

Sweden stands out sharply, with 53% of respondents citing politics as a source of pride, which is the highest share of any single category in the dataset.

Germany (36%) follows at a distance. Meanwhile, in other countries, political dissatisfaction helps explain rising negative sentiment, particularly among those who feel disconnected from leadership.

2026-04-24 23:26:52

U.S. Birth Rates Still Haven’t Recovered From 2007

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The U.S. birth rate hit another record low in 2025.

This chart tracks births per 1,000 women ages 15–44 from 2000 to 2025, based on CDC data with additional reporting from CNN.

It highlights a clear turning point after 2007, when birth rates spiked, and shows how economic shocks like the Great Recession and COVID-19 accelerated a trend that has yet to reverse.

The Peak Before a Long Decline

By 2007, U.S. birth rates reached 69.3 births per 1,000 women, the highest level in the dataset. This marked a clear inflection point. Birth rates then began a sustained decline that continues through 2025.

The Lasting Impact of the Great Recession

The 2008 financial crisis triggered the steepest sustained drop in modern U.S. birth rates. Between 2007 and 2013, the rate fell by nearly 10%, as economic uncertainty led many households to delay or forgo having children. Unlike previous downturns, this decline proved persistent, even after the economy recovered.

Part of this sustained decline was driven by falling birth rates among immigrant women, a group that had previously supported higher overall fertility levels.

Pandemic Dip and Record Lows

The continued decline has significant long-term implications. Fewer births today mean slower population growth and a smaller future workforce, trends that could reshape economic growth, entitlement systems, and demographic balance in the decades ahead.

Learn More on the Voronoi App

If you enjoyed today’s post, check out U.S. Childcare Cost Higher Than In Other Developed Countries on Voronoi, the new app from Visual Capitalist.

2026-04-24 21:38:40

Ranked: The Smartest AI Models of 2026

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The race to build smarter AI models is getting tighter at the top.

This visualization, part of Visual Capitalist’s AI Week, sponsored by Terzo, ranks leading systems using data from TrackingAI, which benchmarks models on the Mensa Norway IQ test as of April 2026.

The results show both who leads today and how little now separates the top contenders, with multiple frontier models clustered near the top of the leaderboard.

A Tie at the Top

The ranking offers a snapshot of how today’s leading AI models perform on abstract pattern-recognition tasks, and just how close the race has become.

As the table below shows, only a small gap now separates the top models:

The biggest takeaway is how compressed the top of the leaderboard has become. Grok-4.20 Expert Mode and OpenAI GPT 5.4 Pro (Vision) are tied for first at 145, while Gemini 3.1 Pro Preview follows closely at 141.

That narrow spread suggests frontier AI models are increasingly converging at the top, where a difference of just a few points can shift the rankings.

The gains from 2025 are also notable. Last year’s top score was 135, compared with 145 in this year’s results, highlighting the speed at which leading models are improving on this benchmark.

Not all models are keeping pace. Among major AI developers, Mistral’s top model ranks lowest in this dataset, scoring 97—well below the leading group.

How TrackingAI Runs the Test

TrackingAI uses the public Mensa Norway test, a set of 35 visual-pattern puzzles. For non-vision models, the questions are verbalized, while vision models receive the original images directly.

As a result, these results are best understood as a benchmark comparison—not a definitive measure of overall intelligence. Because the test is fundamentally visual, model scores can vary depending on how the questions are presented.

Why This Benchmark Matters

TrackingAI’s leaderboard is useful because it offers a simple, familiar way to compare reasoning performance over time. The site also notes that if a model refuses to answer, it is asked the same question up to 10 times, and the most recent answer is used for scoring.

Still, an IQ-style benchmark captures only one slice of capability. It does not measure everything that matters in real-world AI use, such as coding ability, factual reliability, tool use, or performance in professional domains.

Learn More on the Voronoi App

If you enjoyed today’s post, check out Global AI Adoption on Voronoi.