2025-11-26 05:12:48
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Over five million travelers were impacted by the U.S. government shutdown given flight-reduction orders across the country.
While the average number of daily flight cancellations in 2024 was 340, it skyrocketed to 2,260 on November 9th. Adding to this, air traffic controllers were already facing a shortage of nearly 4,000 fully certified personnel ahead of the shutdown.
This graphic shows the surge in flight cancellations over the government shutdown, based on data from Flightaware via CNN.
Below, we show the number of flight cancellations over the longest shutdown in U.S. history, causing billions of dollars of damage to the U.S. travel industry:
| Date | Number of cancelled flights travelling to, from, or within the U.S. |
|---|---|
| Nov 9 | 2,260 |
| Nov 8 | 1,600 |
| Nov 7 | 1,000 |
| Nov 6 | 202 |
| Nov 5 | 171 |
| Nov 4 | 151 |
| Nov 3 | 84 |
| Nov 2 | 244 |
| Nov 1 | 173 |
| Oct 31 | 493 |
| Oct 30 | 1,300 |
| Oct 29 | 157 |
| Oct 28 | 153 |
| Oct 27 | 161 |
| Oct 26 | 193 |
| Oct 25 | 175 |
| Oct 24 | 454 |
| Oct 23 | 283 |
| Oct 22 | 57 |
| Oct 21 | 64 |
| Oct 20 | 86 |
| Oct 19 | 118 |
| Oct 18 | 324 |
| Oct 17 | 56 |
| Oct 16 | 49 |
| Oct 15 | 54 |
| Oct 14 | 146 |
| Oct 13 | 593 |
| Oct 12 | 271 |
| Oct 11 | 114 |
| 2024 Average | 340 |
After the Federal Aviation Administration ordered a 10% reduction in flights across 40 major airports, Delta Air Lines was among the hardest hit.
Over the last few days of the shutdown, as many as 34% of all Delta flights were delayed, while 11% were cancelled. American Airlines saw the second-highest number of flights impacted, with more than a third delayed.
Overall, airports in Chicago, New York, and Atlanta were among the most affected. Major airlines are expected to see up to a $200 million hit in operating income, while regional airlines could face up to $100 million.
Making matters worse, the U.S. travel industry is estimated to lose $5.7 billion in international tourism spending this year compared to 2024, largely driven by a decline in Canadian travelers.
To learn more about this topic, check out this graphic on the world’s busiest airports.
2025-11-26 03:23:41
Companies are rushing to implement AI, but it’s not all smooth sailing. More than half of businesses say the dangers of AI have led to at least one negative consequence.
But which issues plague businesses the most? This infographic breaks down the most common risks. It’s a preview of the brand-new executive guide from Terzo and Visual Capitalist, AI’s Illusion of Truth: The Data Behind AI Errors.
Inaccuracy is the biggest risk companies report, with almost a third experiencing a negative consequence at least once.
| Risk | Percent of Companies That Experienced Negative Consequences at Least Once |
|---|---|
| Inaccuracy | 30% |
| Explainability | 14% |
| Personal/Individual Privacy | 11% |
| Cybersecurity | 10% |
| Regulatory Compliance | 8% |
| Intellectual Property Infringement | 8% |
| Unauthorized or Unintended Action | 7% |
| Equity and Fairness | 7% |
| Workforce Displacement | 6% |
Source: McKinsey, online survey of 1,753 participants conducted June 25 to July 29, 2025.
The other dangers of AI are reported on a much lower scale. Explainability, which is the ability for people to understand an AI system’s inner workings, has affected half as many companies as inaccuracy has.
AI inaccuracy can lead to much bigger issues. It undermines trust in AI systems, causes operational inefficiencies, and can lead to flawed strategic decisions. When AI generates incorrect outputs, the damage is often amplified through cascading processes.
It also has the potential to create legal issues. As the Harvard Law School recently pointed out, many insurance companies are adding limitations or excluding coverage for AI-related losses. This means that leaders may not be covered under traditional Directors & Officers policies for any liabilities that arise from AI errors.
Many companies have started taking steps to combat the dangers of AI. In fact, 54% of businesses are actively working to mitigate AI inaccuracies.
Leaders can take charge by ensuring their teams have humans in the loop to review AI’s output before it is used.
See the data behind AI’s errors and how to get 99% accuracy in the free executive guide, AI’s Illusion of Truth.
Which university has had the most alumni become entrepreneurs in the last decade? Hint: its not Stanford or Harvard.
In many advanced economies, the number of retirees is climbing while the working-age population shrinks. What are the countries where workers are supporting the most seniors?
The national unemployment rate for the U.S. rose to 4.3% in August 2025. But that figure masks vast differences in local labor market health across states.
A trade war has threatened economic ties in 2025. Which economies are most exposed to these shifts in international trade?
Tariff rates vary by country, as does the value of goods each nation exports to the U.S. Which countries contribute the most?
As the U.S. labor market cools, which industries are still hiring—and which are cutting back their workforces?
Global debt continues to climb, reaching $150T in Q1 2025. Which countries carry the heaviest burdens?
How do Fed rate cuts in the U.S. compare with the interest rate changes in other G7 countries, and what does it mean for business?
Explore the fastest growing jobs by projected growth rate, plus salary insights, in a rapidly changing job market.
This graphic pieces together the $127T global stock market to reveal which countries and regions dominate—and how much equity they control.
The median age of first-time home buyers has reached a historic high. See just how long it’s taking people to get on the property ladder.
The Silent Generation’s share of real estate has dropped dramatically as people age, but how have Baby Boomers, Gen X, and Millennials fared?
Real estate is the biggest industry by GDP in 26 states. Find out why it dominates—and what fuels the rest of the country.
Tariffs are rising to boost American-made goods. Which states gain the most—and least—from manufacturing today?
Collectively, the ten most profitable U.S. companies have a net income of $684 billion—more than the entire GDP of Belgium.
New York City has the highest millionaire population globally. Which other cities attract the world’s wealthiest?
The global economy is expected to have slighter slower growth going forward. Which countries are on track to have the biggest GDP increases?
The U.S. has kept their target rate the same at 4.25-4.50%. What do interest rates look like in other countries amid economic uncertainty?
The national housing market saw a 4.5% rise in house prices. This graphic reveals which states had high price growth, and which didn’t.
If you held a $1,000 investment from 1975-2024, this chart shows how the inflation rate can drastically reduce the value of your money.
Trump cites trade deficits—the U.S. importing more than it exports—as one reason for tariffs. Which countries represent the largest deficits?
2025-11-26 02:51:08
See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
The AI boom continues to reshape the technology landscape, which is evident in the explosive revenue growth of the world’s leading AI companies.
Increasing usage among consumers, along with enterprise adoption and new product offerings, have all fueled revenue growth for AI leaders.
This infographic shows how the annualized revenues of OpenAI, Anthropic, and xAI have scaled over the past two years using estimates from Epoch.ai.
Between 2023 and 2025, revenues for AI model developers grew at an accelerated pace. The table below shows the latest disclosed or reported revenue figures for each AI company:
| Company | Date | Annualized revenue (USD) |
|---|---|---|
| Anthropic | 2024-01-01 | $87,000,000 |
| Anthropic | 2024-12-31 | $1,000,000,000 |
| Anthropic | 2025-03-01 | $1,400,000,000 |
| Anthropic | 2025-03-31 | $2,000,000,000 |
| Anthropic | 2025-05-30 | $3,000,000,000 |
| Anthropic | 2025-07-01 | $4,000,000,000 |
| Anthropic | 2025-07-29 | $5,000,000,000 |
| Anthropic | 2025-10-21 | $7,000,000,000 |
| OpenAI | 2023-03-01 | $200,000,000 |
| OpenAI | 2023-08-29 | $1,000,000,000 |
| OpenAI | 2023-10-10 | $1,300,000,000 |
| OpenAI | 2023-12-30 | $1,600,000,000 |
| OpenAI | 2023-12-31 | $2,000,000,000 |
| OpenAI | 2024-06-12 | $3,400,000,000 |
| OpenAI | 2024-08-15 | $3,600,000,000 |
| OpenAI | 2024-09-12 | $4,000,000,000 |
| OpenAI | 2024-12-31 | $5,500,000,000 |
| OpenAI | 2025-06-09 | $10,000,000,000 |
| OpenAI | 2025-07-30 | $12,000,000,000 |
| OpenAI | 2025-08-01 | $13,000,000,000 |
| xAI | 2024-11-20 | $100,000,000 |
| xAI | 2025-01-31 | $178,000,000 |
| xAI | 2025-03-31 | $208,000,000 |
| xAI | 2025-07-31 | $500,000,000 |
OpenAI saw the steepest rise, jumping from $200 million in early 2023 to $13 billion in annualized revenue by August 2025. The majority of OpenAI’s revenue comes from consumers and the increasing usage of ChatGPT.
Anthropic’s revenue trajectory is similarly dramatic, growing from just $87 million in annualized revenue at the start of 2024 to $7 billion by late 2025, marking an 80-fold increase. Estimates suggest that 70-80% of Anthropic’s revenue is from enterprise customers.
Elon Musk’s xAI, founded in 2023, is much earlier in its growth curve. However, with annualized revenues jumping from $100 million in late 2024 to $500 million by mid-2025, xAI is becoming a notable name in the industry. XAI also has the world’s most powerful AI supercomputer.
As generative AI becomes embedded across industries, AI model developers are capturing new revenue streams.
OpenAI and Anthropic are racing to scale infrastructure, model capabilities, and enterprise integration tools, while xAI continues to expand its developer ecosystem and along with new versions of its model Grok.
If revenue trajectories continue on their current path, AI companies may soon mark one of the fastest industry expansions in recent history.
If you enjoyed today’s post, see how AI companies are dominating the list of global unicorns in this infographic on Voronoi.
2025-11-25 23:49:56
See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Rare earth elements (REEs) are the backbone of modern technology, from EV motors and wind turbines to smartphones and precision-guided systems.
This map breaks down where the world’s known rare earth reserves are located in 2025, highlighting how concentrated they are across a handful of countries.
The distribution is highly uneven. China alone holds nearly half of the global total, followed by Brazil’s sizable deposits. By contrast, many advanced economies have limited reserves.
The data for this visualization comes from the U.S. Geological Survey (USGS).
China leads with 44.0 million metric tons, about 48% of the world total of 91.9 million metric tons. Brazil is a clear second at 21.0 million tons (23%), reflecting large ionic clay and hard-rock deposits that are still early in development.
| Rank | Country | Reserves (Metric Tons) |
|---|---|---|
| 1 |
 China |
44,000,000 |
| 2 |
 Brazil |
21,000,000 |
| 3 |
 India |
6,900,000 |
| 4 |
 Australia |
5,700,000 |
| 5 |
 Russia |
3,800,000 |
| 6 |
 Vietnam |
3,500,000 |
| 7 |
 U.S. |
1,900,000 |
| 8 |
 Greenland |
1,500,000 |
| 9 |
 Tanzania |
890,000 |
| 10 |
 South Africa |
860,000 |
| 11 |
 Canada |
830,000 |
| 12 |
 Thailand |
4,500 |
| -- |
 Rest of World |
1,015,500 |
| -- |
 World Total |
91,900,000 |
India (6.9 million tons) and Australia (5.7 million tons) round out the top tier, while Russia (3.8 million tons) and Vietnam (3.5 million tons) are also ahead of the United States. Together, the top six countries account for roughly four-fifths of known reserves.
The United States holds just 1.9 million metric tons of rare earths (2%), underscoring its reliance on trade and midstream processing to secure supply. In recent months, the Trump administration has sought to reduce U.S. dependence on Chinese materials by funding domestic mining projects, streamlining permits, and partnering with allies to diversify supply chains.
In October, President Trump and President Xi Jinping agreed to reduce tariffs in exchange for China maintaining the flow of rare earth exports.
Canada (0.83 million tons) and the EU-adjacent Greenland (1.5 million tons) have meaningful but smaller bases.
Africa and the Arctic feature emerging sources: Tanzania (0.89 million tons) and South Africa (0.86 million tons) join Greenland as potential growth nodes if infrastructure and processing scale.
If you enjoyed today’s post, check out Why Rare Earths Are Critical to EV Motors on Voronoi, the new app from Visual Capitalist.
2025-11-25 21:11:05
See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
U.S. job weakness is disproportionately affecting certain states, as trade policy, immigration, and AI shapes the labor market.
So far, job losses in Washington, D.C. account for the largest share of the national total by far. California follows next in line, as Big Tech firms shed thousands of workers after a pandemic-era hiring spree.
This graphic shows job cuts by U.S. state in 2025, based on data from Challenger, Gray and Christmas.
This year, U.S. job losses have reached 1.1 million as of October, up sharply from last year’s total of 761,000.
| State | Job Losses YTD 2025 | Change vs YTD 2024 |
|---|---|---|
| Washington | 303,778 | 773% |
| California | 158,734 | 16% |
| New York | 81,701 | 20% |
| Georgia | 78,049 | 338% |
| Washington | 77,658 | 111% |
| New Jersey | 64,334 | 454% |
| Texas | 46,352 | -31% |
| Ohio | 40,707 | 70% |
| Florida | 22,771 | 76% |
| Illinois | 20,678 | 3% |
| Michigan | 19,336 | -10% |
| Arizona | 18,547 | 103% |
| Pennsylvania | 17,256 | 12% |
| Massachusetts | 14,430 | -18% |
| Tennessee | 11,566 | -27% |
| North Carolina | 10,720 | 26% |
| Maryland | 9,480 | 27% |
| Virginia | 9,304 | 32% |
| Alabama | 9,115 | 180% |
| Minnesota | 9,049 | 4% |
| Iowa | 7,318 | -8% |
| Maine | 7,311 | 1,446% |
| Colorado | 6,982 | -50% |
| Missouri | 5,519 | -21% |
| Kentucky | 5,277 | 52% |
| Nebraska | 5,249 | 597% |
| Oregon | 4,660 | -54% |
| Wisconsin | 3,511 | -63% |
| Connecticut | 3,251 | -66% |
| South Carolina | 3,136 | -28% |
| Kansas | 3,095 | -36% |
| Nevada | 2,668 | -76% |
| Indiana | 2,120 | -45% |
| Oklahoma | 2,061 | 124% |
| Louisiana | 2,050 | 57% |
| Mississippi | 2,006 | 95% |
| Alaska | 1,712 | 2,346% |
| Utah | 1,472 | -75% |
| Rhode Island | 1,221 | -90% |
| Hawaii | 1,063 | -65% |
| West Virginia | 989 | 1% |
| Arkansas | 620 | -63% |
| Idaho | 531 | -26% |
| South Dakota | 478 | -57% |
| Montana | 461 | -55% |
| Vermont | 399 | -15% |
| New Mexico | 288 | -68% |
| Delaware | 209 | -70% |
| New Hampshire | 154 | -35% |
| North Dakota | 96 | 3% |
| Wyoming | 28 | -99% |
As we can see, federal workforce overhauls have resulted in 303,778 layoffs in Washington, D.C., more than California and New York combined.
In California, job losses now total 158,734, reflecting a softening labor market. Overall, California is home to 18 million workers, the highest share in the country.
Across the broader U.S. tech sector, layoff announcements now total 141,159 compared with 120,470 this time last year. Notably, Intel plans to cut 5,000 workers in the U.S., mainly in California and Oregon. San Francisco-based Salesforce also plans to slash 4,000 workers this year.
Meanwhile, New York firms have cut 81,700 workers, a 20% increase from last year. New York-based Verizon alone announced cuts of 13,000 workers in November, largely affecting its U.S. employees.
By contrast, layoff data in Texas is significantly better in 2025 compared to a year ago. Not only that, it leads nationally in job creation, seeing some of the strongest growth in the services and hospitality sectors.
To learn more about this topic, check out this graphic on unemployment by state.
2025-11-25 02:44:51
See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
From 2015 to 2025, global real estate markets experienced significant divergence between real home price growth and rent price growth.
While most major cities saw home values rise faster than rents, a few key markets—particularly in Europe and Asia—showed softening property prices amid slowing demand and tighter credit conditions.
This visualization highlights 25 major global cities from the UBS Global Real Estate Bubble Index 2025, comparing inflation-adjusted percentage changes in both home and rental prices over the past decade.
Miami topped the list with a staggering 93.1% increase in real home prices, showing the strongest decade-long appreciation globally.
Despite this, rent prices grew only 12.7%, reflecting a widening affordability gap.
The data table below shows the real home price change and real rent price change across 25 major cities around the world.
| City | Real home price change (2015-2025) | Real rental price change (2015-2025) |
|---|---|---|
|
Miami, United States |
93.1% | 12.7% |
 Tokyo, Japan |
66.0% | 23.1% |
 Amsterdam, Netherlands |
64.4% | 17.2% |
|
Toronto, Canada |
48.0% | 8.3% |
 Madrid, Spain |
42.4% | 48.0% |
 Zurich, Switzerland |
42.4% | 23.1% |
 Frankfurt, Germany |
42.4% | 14.9% |
|
Los Angeles, United States |
42.4% | -2.0% |
|
Vancouver, Canada |
39.7% | 21.9% |
|
Munich, Germany |
30.5% | 18.4% |
 Singapore |
25.5% | 21.9% |
|
Geneva, Switzerland |
17.2% | 1.0% |
|
Sydney, Australia |
16.1% | 17.2% |
 Dubai, UAE |
12.7% | 2.0% |
|
San Francisco, United States |
7.2% | -19.1% |
 Paris, France |
0.0% | -8.6% |
 Milan, Italy |
-4.9% | -3.0% |
|
New York, United States |
-4.9% | -7.7% |
 London, United Kingdom |
-10.5% | -10.5% |
|
São Paulo, Brazil |
-19.1% | -3.0% |
 Hong Kong |
-19.9% | -11.4% |
Similar trends occurred in other North American cities: Toronto’s home prices rose 48%, while rents climbed a modest 8.3%, and Vancouver saw a 39.7% jump in property values compared to 21.9% rent growth.
These disparities underscore how ownership demand in North America—fueled by migration, investment, and limited supply—has far outpaced rental market fundamentals.
New York City was an outlier, with declines in both home and rent prices of 4.9% and 7.7% respectively.
Europe’s housing performance was varied, with Madrid being an outlier with significant increases especially in rent prices.
Madrid saw home prices rise by 42.4%, while rents surged 48%, the steepest rental increase among all major global cities. This reflects Spain’s booming short-term rental sector and tourism rebound.
In contrast, London’s property and rent prices have fallen 10.5% since 2015, potentially reflecting Brexit’s lingering effects and the significant millionaire exodus the country faces.
Milan was another city which saw declines in both metrics, with a 4.9% and 3% fall in property and rental prices.
Meanwhile, Zurich and Munich both saw double-digit home price increases of 42.4% and 30.5%, with rent gains also in the double digits at 23.1% and 18.4%, respectively.
To learn more about rent prices around the world, check out this graphic which shows the global cities with the highest rent prices on the Voronoi app.
