2026-02-07 02:37:17
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As generative AI tools become more capable, an increasing number of tasks across various occupations are becoming subject to AI automation.
To better understand this shift, Microsoft Research analyzed the applicability of AI to real-world tasks by studying over 200,000 anonymized conversations with Microsoft Bing Copilot from January to September 2024.
This infographic ranks the 40 jobs most exposed to AI, based on Microsoft’s analysis of how frequently AI is used for job-related tasks, how successfully it completes them, and how applicable AI is to each role overall.
Microsoft assessed AI exposure using three indicators derived from Copilot usage:
Importantly, a high applicability score does not necessarily imply that a job can be fully automated or displaced. Instead, it shows that a large share of the tasks within a job role can be assisted or successfully completed by generative AI.
Jobs with high AI applicability scores tend to cover areas where generative AI already performs well, including language processing, research, summarization, and communication.
The table below ranks the 40 jobs most exposed to AI, based on Microsoft’s analysis:
| Rank | Job Title | Task Coverage Score | Task Completion Score | Overall AI Applicability Score |
|---|---|---|---|---|
| 1 | Interpreters and Translators | 0.98 | 0.88 | 0.49 |
| 2 | Historians | 0.91 | 0.85 | 0.48 |
| 3 | Passenger Attendants | 0.80 | 0.88 | 0.47 |
| 4 | Sales Representatives of Services | 0.84 | 0.90 | 0.46 |
| 5 | Writers and Authors | 0.85 | 0.84 | 0.45 |
| 6 | CNC Tool Programmers | 0.90 | 0.87 | 0.44 |
| 7 | Customer Service Representatives | 0.72 | 0.90 | 0.44 |
| 8 | Telephone Operators | 0.80 | 0.86 | 0.42 |
| 9 | Farm and Home Management Educators | 0.77 | 0.91 | 0.41 |
| 10 | Broadcast Announcers and Radio DJs | 0.74 | 0.84 | 0.41 |
| 11 | Brokerage Clerks | 0.74 | 0.89 | 0.41 |
| 12 | Ticket Agents and Travel Clerks | 0.71 | 0.90 | 0.41 |
| 13 | Concierges | 0.70 | 0.88 | 0.40 |
| 14 | Telemarketers | 0.66 | 0.89 | 0.40 |
| 15 | Mathematicians | 0.91 | 0.74 | 0.39 |
| 16 | Political Scientists | 0.77 | 0.87 | 0.39 |
| 17 | News Analysts, Reporters, Journalists | 0.81 | 0.81 | 0.39 |
| 18 | Proofreaders and Copy Markers | 0.91 | 0.86 | 0.38 |
| 19 | Technical Writers | 0.83 | 0.82 | 0.38 |
| 20 | Business Teachers, Postsecondary | 0.70 | 0.90 | 0.37 |
| 21 | Editors | 0.78 | 0.82 | 0.37 |
| 22 | Hosts and Hostesses | 0.60 | 0.90 | 0.37 |
| 23 | Statistical Assistants | 0.85 | 0.84 | 0.36 |
| 24 | New Accounts Clerks | 0.72 | 0.87 | 0.36 |
| 25 | Demonstrators and Product Promoters | 0.64 | 0.88 | 0.36 |
| 26 | Advertising Sales Agents | 0.66 | 0.90 | 0.36 |
| 27 | Data Scientists | 0.77 | 0.86 | 0.36 |
| 28 | Public Relations Specialists | 0.63 | 0.90 | 0.36 |
| 29 | Counter and Rental Clerks | 0.62 | 0.90 | 0.36 |
| 30 | Geographers | 0.77 | 0.83 | 0.35 |
| 31 | Models | 0.64 | 0.89 | 0.35 |
| 32 | Archivists | 0.66 | 0.88 | 0.35 |
| 33 | Economics Teachers, Postsecondary | 0.68 | 0.90 | 0.35 |
| 34 | Switchboard Operators | 0.68 | 0.86 | 0.35 |
| 35 | Web Developers | 0.73 | 0.86 | 0.35 |
| 36 | Public Safety Telecommunicators | 0.66 | 0.88 | 0.35 |
| 37 | Personal Financial Advisors | 0.69 | 0.88 | 0.35 |
| 38 | Management Analysts | 0.68 | 0.90 | 0.35 |
| 39 | Market Research Analysts | 0.71 | 0.90 | 0.35 |
| 40 | Library Science Teachers, Postsecondary | 0.65 | 0.90 | 0.34 |
For interpreters and translators, the coverage score of 0.98 shows that tasks related to these roles appear very frequently in Copilot conversations, while the high completion score of 0.88 indicates that AI can successfully handle many of them. As a result, these roles have the highest overall AI applicability score, at 0.49.
Historians and writing-related roles also appear near the top of the ranking. Similarly, AI chat systems already handle many of the tasks seen in customer-facing roles such as sales representatives, customer service agents, telemarketers, and concierges.
While creative and communication-based jobs dominate the top of the list, technical roles like data scientists, web developers, management analysts, and market research analysts also show moderate to high AI applicability.
Interestingly, across all 40 of the most-exposed jobs, the completion score averages 0.87—showing that AI (in this case, Copilot) is capable of successfully completing most tasks that are assigned to it in conversations.
Many of the most exposed jobs involve judgment, creativity, or human interaction, where AI functions as a complement rather than a substitute. In practice, generative AI is more likely to increase the productivity of each worker rather than eliminate entire roles.
That said, jobs with repetitive and standardized tasks may see faster transformation as AI tools become more ingrained in daily work.
By contrast, roles that require physical effort and on-the-spot human judgment, including machine operators, repair workers, and caregivers, remain far less exposed to AI, since these tasks are still difficult to automate.
If you found this analysis useful, explore more insights on automation, labor markets, and technology on Voronoi, including How People Use Generative AI.
2026-02-07 00:12:25
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From U.S.–China tensions to conflict in the Middle East, geopolitical instability is rising.
These pressures are reshaping global risk priorities across both the short and long term. Not only are they straining trade, investment, and supply chains, they are rewriting national security strategies.
This graphic shows the leading global risks both now and in 10 years, based on the World Economic Forum’s Global Risks Report 2026 which surveys more than 1,300 global experts and policymakers.
According to the report, here are most severe risks facing the global economy in the next two years.
| Rank | Short-Term Risks (2 Years) | Risk Category |
|---|---|---|
| 1 | Geoeconomic confrontation | Geopolitical |
| 2 | Misinformation and disinformation | Technological |
| 3 | Societal polarization | Societal |
| 4 | Extreme weather events | Environmental |
| 5 | State-based armed conflict | Geopolitical |
| 6 | Cyber insecurity | Technological |
| 7 | Inequality | Societal |
| 8 | Erosion of human rights and/or civic freedoms | Societal |
| 9 | Pollution | Environmental |
| 10 | Involuntary migration or displacement | Societal |
Geoeconomic confrontation ranks as the top risk, jumping from ninth-spot last year.
Following next in line is misinformation and disinformation, which interconnects with risks including societal polarization and adverse outcomes of AI technologies. As AI agents become better at mimicking human behavior, they can increasingly be used to shape—or distort—public opinion.
Ranking in third is societal polarization, further threatening democratic stability. In the U.S., for instance, 11% of the population identified as far-right in 2025 while 9% were far-left. Additionally, several European countries showed even higher degrees of polarization.
As the table below shows, extreme weather events are the most severe risk over the next 10 years.
| Rank | Long-Term Risks (10-Years) | Risk Category |
|---|---|---|
| 1 | Extreme weather events | Environmental |
| 2 | Biodiversity loss and ecosystem collapse | Environmental |
| 3 | Critical change to Earth systems | Environmental |
| 4 | Misinformation and disinformation | Technological |
| 5 | Adverse outcomes of AI technologies | Technological |
| 6 | Natural resource shortages | Environmental |
| 7 | Inequality | Societal |
| 8 | Cyber insecurity | Technological |
| 9 | Societal polarization | Societal |
| 10 | Pollution | Environmental |
In 2025 alone, the U.S. saw 23 billion-dollar disasters, causing a combined $115 billion in damages. From droughts and wildfires to floods and heat waves, extreme weather displaced millions of people worldwide last year.
Overall, five of the top 10 long-term risks are environmental, including critical change to Earth systems and natural resource shortages.
To learn more about this topic, check out this graphic on the world’d biggest corporate polluters.
2026-02-06 02:31:07
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Brand value is not just a corporate concern. Health systems compete globally for talent, research funding, referrals, and patient trust. But which hospital leads on this metric?
This graphic ranks academic medical centers using Brand Finance’s 2026 Global Top 250 Hospitals report. Hospitals are scored using a Brand Strength Index built from a survey of 2,500 healthcare professionals and 30+ metrics across 500+ AMCs.
Here is a table showing the top 25 placements for this years Brand Strength Index.
| Rank | Hospital | Country | Brand Strength Index | Care Score | Research Score |
|---|---|---|---|---|---|
| 1 | Johns Hopkins Medicine |
 United States |
83.3 | 77.7 | 81.0 |
| 2 | Oxford University Hospitals NHS Foundation Trust |
 United Kingdom |
82.0 | 72.1 | 82.8 |
| 3 | Stanford University Medical Center |
United States |
81.5 | 73.9 | 77.8 |
| 4 | Mass General Brigham |
United States |
80.8 | 74.5 | 76.3 |
| 5 | Mayo Clinic Health System |
United States |
80.6 | 74.8 | 75.3 |
| 6 | All India Institute of Medical Sciences, Delhi |
 India |
79.9 | 76.1 | 79.4 |
| 7 | University Health Network |
 Canada |
79.3 | 86.6 | 82.8 |
| 8 | Cleveland Clinic |
United States |
79.2 | 72.7 | 74.3 |
| 9 | Cambridge University Hospitals NHS Foundation Trust |
United Kingdom |
78.5 | 70.6 | 83.0 |
| 10 | Singapore General Hospital |
 Singapore |
77.9 | 83.7 | 80.5 |
| 11 | Dana-Farber Cancer Institute |
United States |
77.8 | 72.7 | 80.0 |
| 12 | King Faisal Specialist Hospital and Research Center |
 Saudi Arabia |
77.7 | 76.5 | 79.0 |
| 13 | Tata Memorial Centre |
India |
77.0 | 78.4 | 80.6 |
| 14 | National University Health System |
Singapore |
76.9 | 78.9 | 80.9 |
| 15 | University Hospitals Cleveland Medical Center |
United States |
76.8 | 72.6 | 71.6 |
| 16 | MD Anderson Cancer Center |
United States |
76.8 | 73.5 | 79.0 |
| 17 | University Hospital of Zurich |
 Switzerland |
76.7 | 79.1 | 79.3 |
| 18 | The University of Tokyo Hospital |
 Japan |
75.6 | 72.2 | 87.1 |
| 19 | Charité |
 Germany |
75.5 | 77.4 | 88.5 |
| 20 | Duke University Hospital |
United States |
75.2 | 69.6 | 74.7 |
| 21 | Mount Sinai Health System |
United States |
75.2 | 70.7 | 68.9 |
| 22 | Kyoto University Hospital |
Japan |
75.2 | 73.1 | 83.5 |
| 23 | Cleveland Clinic Abu Dhabi |
 United Arab Emirates |
74.7 | 76.6 | 65.2 |
| 24 | Yale New Haven Health System |
United States |
74.2 | 69.7 | 67.8 |
| 25 | Groote Schuur Hospital |
 South Africa |
74.1 | 78.9 | 86.6 |
The 2026 top spot goes to Johns Hopkins Medicine, followed by Oxford University Hospitals NHS Foundation Trust and Stanford University Medical Center.
In Brand Finance’s framework, these organizations pair strong clinical reputations with the visibility that comes from education, research output, and high impact specialties.
In the Care category, University Health Network stands out, posting the highest Care score in the top 25 at 86.6.
Meanwhile, in the research category, Charité leads the category with a Research score of 88.5, followed closely by The University of Tokyo Hospital at 87.1.
North America supplies 12 of the top 25, including 11 from the United States plus one from Canada. That depth extends beyond the top tier.
Still, the list is far from monolithic. The United Kingdom places two hospitals in the top 10, while Asia is represented by Singapore General Hospital at number 10 and Japan’s University of Tokyo Hospital at number 18.
Furthermore, several of the biggest year over year climbers are also outside the U.S.
Cambridge University Hospitals rises nine positions to number nine, and King Faisal Specialist Hospital and Research Centre in Saudi Arabia moves up to number 12.
Additionally, the Gulf’s presence is reinforced by Cleveland Clinic Abu Dhabi at number 23.
Peer recommendations guide healthcare professionals, so brand strength boosts trust, talent recruitment, and credibility with insurers and regulators.
Consequently, for hospital leaders, reputation is measurable, and global visibility is increasingly part of the competitive set.
To learn more about this topic, check out this graphic on investment peaks by industry.
The data for this visualization was sourced from Global Top 250 Hospitals 2025 Report, a publication by one of our data partners, Brand Finance. Our data partnerships are commercial agreements that may or may not include compensation, and partners are not involved with our editorial or graphical processes in any capacity.
America’s healthiest states cluster in one distinct region, highlighting how social, economic, and clinical factors shape health outcomes.
America’s most expensive drugs now top $4 million per dose. See why gene therapies carry record-breaking price tags.
Looking at what’s shaping U.S. healthcare trends by sifting through data about America’s most common drugs by Medicare spending, who manufactures them, and how much they…
Discover the countries where the population lives the most years in poor health by comparing average life expectancy to healthy life expectancy.
Mapped data reveals Southern states lead U.S. opioid prescription rates, while coastal states sit lowest. Explore the latest CDC data.
Globally, the average person is expected to live 73.4 years, with wealthy European nations topping the life expectancy rankings.
2026-02-05 21:06:13
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Birth rates in the U.S. have been declining for decades, but that decline has hit some states faster than others.
The projections in this visualization are from SmartAsset, who analyzed results from U.S. Census Bureau’s 2024 1-Year American Community Survey. The number shown for each state represents births per 1,000 people, and is based on most recent fertility rate data and state demographics.
Utah ranks first in the nation, with an estimated 9.7 babies born per 1,000 people each year. The state’s relatively young population plays a major role, as younger adults are more likely to be in childbearing years. Cultural and religious influences also contribute, with larger family sizes remaining more common than in many other states.
| Rank | State | Babies Born per Year | Babies per 1K (2025) |
|---|---|---|---|
| 1 | Utah | 34,119 | 9.7 |
| 2 | Colorado | 54,758 | 9.2 |
| 3 | North Dakota | 7,131 | 9.0 |
| 4 | Texas | 278,232 | 8.9 |
| 5 | Massachusetts | 63,418 | 8.9 |
| 6 | Washington | 70,008 | 8.8 |
| 7 | California | 344,395 | 8.7 |
| 8 | New York | 172,797 | 8.7 |
| 9 | Georgia | 97,122 | 8.7 |
| 10 | Alaska | 6,426 | 8.7 |
| 11 | Tennessee | 62,290 | 8.6 |
| 12 | Arizona | 65,206 | 8.6 |
| 13 | Rhode Island | 9,551 | 8.6 |
| 14 | North Carolina | 94,761 | 8.6 |
| 15 | Illinois | 108,268 | 8.5 |
| 16 | Indiana | 58,520 | 8.5 |
| 17 | Oklahoma | 34,549 | 8.4 |
| 18 | Michigan | 84,608 | 8.3 |
| 19 | Kansas | 24,778 | 8.3 |
| 20 | Missouri | 52,014 | 8.3 |
| 21 | Nevada | 27,188 | 8.3 |
| 22 | Nebraska | 16,680 | 8.3 |
| 23 | Virginia | 73,022 | 8.3 |
| 24 | Idaho | 16,537 | 8.3 |
| 25 | Oregon | 35,188 | 8.2 |
| 26 | Alabama | 42,365 | 8.2 |
| 27 | Kentucky | 37,683 | 8.2 |
| 28 | Louisiana | 37,731 | 8.2 |
| 29 | Ohio | 97,391 | 8.2 |
| 30 | New Mexico | 17,435 | 8.2 |
| 31 | Arkansas | 25,154 | 8.1 |
| 32 | Iowa | 26,390 | 8.1 |
| 33 | Connecticut | 29,915 | 8.1 |
| 34 | Mississippi | 23,909 | 8.1 |
| 35 | Maryland | 50,618 | 8.1 |
| 36 | Wisconsin | 48,031 | 8.1 |
| 37 | South Carolina | 44,076 | 8.0 |
| 38 | New Jersey | 76,381 | 8.0 |
| 39 | Minnesota | 46,316 | 8.0 |
| 40 | Pennsylvania | 104,399 | 8.0 |
| 41 | Delaware | 8,212 | 7.8 |
| 42 | Montana | 8,862 | 7.8 |
| 43 | Hawaii | 11,216 | 7.8 |
| 44 | Florida | 180,880 | 7.7 |
| 45 | New Hampshire | 10,856 | 7.7 |
| 46 | South Dakota | 7,080 | 7.7 |
| 47 | Wyoming | 4,491 | 7.6 |
| 48 | West Virginia | 13,400 | 7.6 |
| 49 | Vermont | 4,884 | 7.5 |
| 50 | Maine | 10,436 | 7.4 |
Texas and California rank near the top both in absolute and relative terms. California is projected to see more than 340,000 births per year, while Texas exceeds 278,000. On a per-capita basis, both states are driven by younger populations and higher shares of immigrants.
States in the Northeast and parts of the Midwest tend to rank lower. Maine, Vermont, and West Virginia sit near the bottom, with fewer than eight babies born per 1,000 people annually. Older populations, higher living costs, and delayed family formation all play a role.
If you enjoyed today’s post, check out Countries With the Biggest Gains in Life Expectancy on Voronoi, the new app from Visual Capitalist.
2026-02-05 14:44:28
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Salaries across European countries vary widely, with the contrast especially apparent between Eastern and Western Europe.
While some European workers earn salaries comparable to those in the United States, others take home less than €20,000 (roughly $23,700) a year, highlighting the wide income gap within Europe’s economy.
This visualization shows the average annual full-time salary in every European country in 2024, using data from Eurostat and the OECD. OECD figures have been converted to euros using 2024 exchange rates.
Luxembourg ranks first in Europe, with an average full-time salary of around €83,000, also placing it among the highest-paying countries in the world.
Besides being driven by high-paying industries such as IT and finance, Luxembourg also uses a wage indexation system that automatically adjusts salaries in line with inflation to maintain purchasing power.
Here’s a look at average full-time salaries across 31 European nations:
| Rank | Country | Average full-time salary in 2024 (euros) |
|---|---|---|
| 1 |
 Luxembourg |
€82,969 |
| 2 |
 Iceland |
€77,189 |
| 3 |
Switzerland |
€75,062 |
| 4 |
 Denmark |
€71,565 |
| 5 |
 Norway |
€64,029 |
| 6 |
 Ireland |
€61,051 |
| 7 |
 Belgium |
€59,632 |
| 8 |
 Austria |
€58,600 |
| 9 |
 Netherlands |
€58,248 |
| 10 |
Germany |
€53,791 |
| 11 |
United Kingdom |
€51,657 |
| 12 |
 Finland |
€49,428 |
| 13 |
 Sweden |
€46,525 |
| 14 |
 France |
€43,790 |
| 15 |
 Slovenia |
€35,133 |
| 16 |
 Spain |
€33,700 |
| 17 |
 Italy |
€33,523 |
| 18 |
 Malta |
€33,499 |
| 19 |
 Lithuania |
€29,104 |
| 20 |
 Cyprus |
€27,611 |
| 21 |
 Estonia |
€26,546 |
| 22 |
 Portugal |
€24,818 |
| 23 |
 Czechia |
€23,998 |
| 24 |
 Croatia |
€23,446 |
| 25 |
 Latvia |
€22,262 |
| 26 |
 Poland |
€21,246 |
| 27 |
 Romania |
€21,108 |
| 28 |
 Slovakia |
€20,287 |
| 29 |
 Hungary |
€18,461 |
| 30 |
 Greece |
€17,954 |
| 31 |
 Bulgaria |
€15,387 |
Iceland ranks second among Europe’s highest-paying countries with the average worker taking home just over €77,000. The country has also has strong union coverage, with around 90% of all employees covered by a trade union—potentially allowing for greater leverage in wage negotiations.
Several Nordic and Western European countries also rank highly. Switzerland, Denmark, and Iceland all report average salaries above €70,000 per year. Meanwhile, Germany and France—Europe’s two largest economies—sit near the middle, with average full-time wages of €53,791 and €43,790, respectively.
Moving south and east within Europe, average salaries drop significantly.
While Southern European countries such as Spain, Italy, and Portugal cluster closer to the €30,000 mark, Eastern European nations sit at the bottom of the ranking. Bulgaria reports Europe’s lowest average full-time salary at just €15,387, preceded by Greece, Hungary, Slovakia, and Romania.
However, while headline salaries are useful for comparison, they don’t tell the full story. Countries with higher wages also tend to have higher living costs, especially for housing, childcare, and services. Meanwhile, lower-wage countries often benefit from cheaper housing and everyday expenses, partially offsetting income gaps.
How have median incomes changed in the world’s largest economies from 1994 to 2024? Find out in this visualization on Voronoi.
2026-02-05 03:08:04
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Unlike gold, silver plays a dual role as both a monetary metal and an industrial input, making it especially sensitive to shifts in supply, demand, and investor sentiment.
This chart highlights four major silver price rallies between 1965 and 2026, showing how quickly prices can surge during periods of economic stress or market disruption. Prices shown are not adjusted for inflation, and 2026 figures reflect data as of February 2, 2026.
The data for this visualization comes from Macrotrends and Kitco.
Maybe the most notorious silver rally occurred between 1979 and 1980. During this period, billionaire brothers Nelson and William Hunt attempted to corner the silver market by amassing physical silver and futures contracts.
| Period / Rally | Start Price (USD) | Intrayear Peak Price | Percentage Gain |
|---|---|---|---|
| 1979–1980 Hunt Brothers | $7.69 | $49.45 | 543% |
| 2009–2011 Post-Financial Crisis | $12.59 | $49.47 | 293% |
| 2020 Pandemic Rally | $14.16 | $29.26 | 107% |
| 2025–2026 All-time High | $29.00 | $121.67 | 320% |
At their peak, the Hunts controlled nearly one-third of global silver supply. Prices surged from $7.69 to $49.45 per ounce in just one year, a gain of 543%. The rally ultimately collapsed after regulatory intervention, leading to sharp losses and long-lasting market reforms.
Silver’s next major rally followed the 2008 global financial crisis. As central banks introduced aggressive monetary stimulus and interest rates fell, investors sought hard assets as a hedge against currency debasement.
Between 2009 and 2011, silver prices climbed from $12.59 to $49.47 per ounce, a 293% gain over two years.
The COVID-19 pandemic sparked another sharp rally in 2020, with prices rising 107% in a single year.
However, the most dramatic move came this year, when silver surged from $29 at the beginning of 2025 to a new all-time high above $121 in February 2026.
China’s tighter controls on silver exports constrained global supply, while escalating geopolitical tensions increased demand for safe-haven assets.
If you enjoyed today’s post, check out All of the World’s Silver Reserves by Country, in One Visualization on Voronoi, the new app from Visual Capitalist.
