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How quickly are consumers and businesses adopting AI tools compared to past technologies?

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Verbit analyzed data from Our World in Data and other sources to see how quickly AI is being adopted and how it compares with past technologies.
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The buzz over artificial intelligence is everywhere you look right now, with the rate of adoption understandably turning heads.

ChatGPT hit the streets in November 2022; by January, the tech set a record as the fastest-growing consumer application with 100 million users and hardly any marketing. But ChatGPT is just one of several wildly popular AI tools in use today.

AI generally refers to the discipline of building machines and programs that can perform tasks and solve problems in the same way as a human might. The history of AI is almost as old as digital computers themselves.

Businesses are clamoring—with varying rates of success—to experiment with how processes and roles can be augmented or completely automated by artificial intelligence tools such as ChatGPT, its competitors, and function and industry-specific AI tools.

Factory automation disrupted manual and blue-collar jobs as far back as the flour mill in the 18th century. This technology exploded in the 20th century with robots on assembly lines. AI is now similarly beginning to disrupt the job market, this time for entry-level roles in white-collar industries.

It’s not that all knowledge worker jobs will be replaced by AI. In many cases, AI will serve as a co-pilot of sorts, helping workers complete tasks more quickly. However, knowing how to use AI will become a requirement. Within a few years, workers who know how to use AI will replace those who don’t.

ChatGPT’s rapid rise reflects two broader trends. For one, tech is being adopted more quickly these days. The adoption curve for other technologies, from the internet to social media, has been nearly a vertical line. The adoption of ChatGPT was even more meteoric, with businesses paying particular attention to how AI can improve processes and bring down costs. If various elements of a single job can be done by AI, it’s only a matter of time before the technology can account for entire roles.

To compare AI’s traction with that of past technologies, Verbit analyzed data from the International Monetary Fund, Our World in Data, the Pew Research Center, and YouGov, among other sources.

OpenAI, Google, Amazon, and other tech companies competed in 2023 to introduce a variety of AI and generative AI tools. The technology—which in years past might have been kept in the sphere of academics, contractors, and secret development programs—was placed in the hands of everyday consumers.

No tech company wanted to be left behind, and these models improve based on their interaction with users. Despite its fair share of hiccups and “hallucinations,” enthusiasm for AI turned the technology into one of the hottest technological developments in recent history.

The deluge of AI tools in the last two years resulted in some stunning developments, such as the capability to generate high-quality text and images. The real magic comes from how computers can now match or exceed average human abilities during testing when it comes to image and text recognition. This is propelled by advances in “deep learning” technologies, in which computer programs utilize multiple synthetic “neural networks” to analyze inputs and generate high-caliber text and images.

Other popular AI tools include image generation tools such as Dall-E and Midjourney, which can generate images from textual descriptions; translation tools such as Google Translate; and even coding assistance tools such as GitHub, CoPilot, and Codeium.


A bar chart showing how long it took various apps to hit 100 million users. It took ChatGPT just two months, compared with 60 months for Twitter.

Verbit

ChatGPT was the fastest-growing app when it first launched

The user growth for ChatGPT has been staggering. The service reached 100 million users in two months, faster than any consumer-facing app before it. The only service to beat it since was Meta’s Threads, a social media platform similar to X (formerly Twitter). Launched in July 2023, Threads received a huge boost from being able to market across Facebook’s 3-billion-plus monthly active users.

The service being free and available to the public certainly boosted ChatGPT’s success. It was also among the first pieces of AI with easy-to-understand inputs and outputs. You didn’t have to be a pro to use it: You just had to type an English command into a simple text box, and completely comprehensible text was returned.

Organic word-of-mouth played a major factor, as well. Users racked up likes and shares for posting novel pieces of AI-generated text based on surprising combinations. In one instance, ChatGPT penned instructions for removing a peanut butter sandwich from a VCR in the style of a Bible verse. People also began sharing examples of productive, real-world applications, from writing a school essay to summarizing long articles and studies and automating business processes. Thinking of the time- and money-saving possibilities, people’s imaginations took off—and viral growth followed.

A line chart showing how long it took for various technologies to hit mass adoption in the U.S. It took decades for inventions such as electricity or the automobile to become universal, but digital technologies proliferate in just years.

Verbit

Digital technologies are spreading more quickly than ever before

The rate of technological adoption is speeding up, aided by other technologies that make information-sharing and widespread use more accessible to the masses.

Landlines were introduced in the United States in 1903; by 1946, they were in just half of all American households. By contrast, the same penetration of cellphones only took eight years. This begs the question: Will AI’s spread and adoption be even faster?

Despite the excitement and widespread experimentation, we have yet to see entire industries transformed by artificial intelligence. This could be because we are in an intermediate period known as a “J-curve,” a period of time when productivity promises of new technology aren’t immediately realized as companies figure out how to reinvent themselves and develop new processes that incorporate the novel development.

Observers caution that some of the AI hype is overblown and misses the big picture: that there are specific (and limited) use cases for AI and machine learning. Certain fields are more ripe for disruption, such as those relying on the synthesis, digestion, and analysis of high volumes of data. Certain responsibilities in legal, engineering, design, and writing fields are more likely to have lower functions automated. However, professions requiring manual performance, such as dishwashing, athletics, or the skilled trades of carpentry and welding, aren’t as susceptible to having their core functions automated.

Story editing by Nicole Caldwell. Copy editing by Tim Bruns.

This story originally appeared on Verbit and was produced and
distributed in partnership with Stacker Studio.

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5 tech advancements sports venues have added since your last event

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Uniqode compiled a list of technologies adopted by stadiums, arenas, and other major sporting venues in the past few years.
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In today’s digital climate, consuming sports has never been easier. Thanks to a plethora of streaming sites, alternative broadcasts, and advancements to home entertainment systems, the average fan has myriad options to watch and learn about their favorite teams at the touch of a button—all without ever having to leave the couch.

As a result, more and more sports venues have committed to improving and modernizing their facilities and fan experiences to compete with at-home audiences. Consider using mobile ticketing and parking passes, self-service kiosks for entry and ordering food, enhanced video boards, and jumbotrons that supply data analytics and high-definition replays. These innovations and upgrades are meant to draw more revenue and attract various sponsored partners. They also deliver unique and convenient in-person experiences that rival and outmatch traditional ways of enjoying games.

In Los Angeles, the Rams and Chargers’ SoFi Stadium has become the gold standard for football venues. It’s an architectural wonder with closer views, enhanced hospitality, and a translucent roof that cools the stadium’s internal temperature. 

The Texas Rangers’ ballpark, Globe Life Field, added field-level suites and lounges that resemble the look and feel of a sports bar. Meanwhile, the Los Angeles Clippers are building a new arena (in addition to retail space, team offices, and an outdoor public plaza) that will seat 18,000 people and feature a fan section called The Wall, which will regulate attire and rooting interest.

It’s no longer acceptable to operate with old-school facilities and technology. Just look at Commanders Field (formerly FedExField), home of the Washington Commanders, which has faced criticism for its faulty barriers, leaking ceilings, poor food options, and long lines. Understandably, the team has been attempting to find a new location to build a state-of-the-art stadium and keep up with the demand for high-end amenities.

As more organizations audit their stadiums and arenas and keep up with technological innovations, Uniqode compiled a list of the latest tech advancements to coax—and keep—fans inside venues.


A person using the new walk out technology with a palm scan.

Jeff Gritchen/MediaNews Group/Orange County Register // Getty Images

Just Walk Out technology

After successfully installing its first cashierless grocery store in 2020, Amazon has continued to put its tracking technology into practice.

In 2023, the Seahawks incorporated Just Walk Out technology at various merchandise stores throughout Lumen Field, allowing fans to purchase items with a swipe and scan of their palms.

The radio-frequency identification system, which involves overhead cameras and computer vision, is a substitute for cashiers and eliminates long lines. 

RFID is now found in a handful of stadiums and arenas nationwide. These stores have already curbed checkout wait times, eliminated theft, and freed up workers to assist shoppers, according to Jon Jenkins, vice president of Just Walk Out tech.

A fan presenting a digital ticket at a kiosk.

Billie Weiss/Boston Red Sox // Getty Images

Self-serve kiosks

In the same vein as Amazon’s self-scanning technology, self-serve kiosks have become a more integrated part of professional stadiums and arenas over the last few years. Some of these function as top-tier vending machines with canned beers and nonalcoholic drinks, shuffling lines quicker with virtual bartenders capable of spinning cocktails and mixed drinks.

The kiosks extend past beverages, as many college and professional venues have started using them to scan printed and digital tickets for more efficient entrance. It’s an effort to cut down lines and limit the more tedious aspects of in-person attendance, and it’s led various competing kiosk brands to provide their specific conveniences.

A family eating food in a stadium.

Kyle Rivas // Getty Images

Mobile ordering

Is there anything worse than navigating the concourse for food and alcohol and subsequently missing a go-ahead home run, clutch double play, or diving catch?

Within the last few years, more stadiums have eliminated those worries thanks to contactless mobile ordering. Fans can select food and drink items online on their phones to be delivered right to their seats. Nearly half of consumers said mobile app ordering would influence them to make more restaurant purchases, according to a 2020 study at PYMNTS. Another study showed a 22% increase in order size.

Many venues, including Yankee Stadium, have taken notice and now offer personalized deliveries in certain sections and established mobile order pick-up zones throughout the ballpark.

A fan walking past a QR code sign in a seating area.

Darrian Traynor // Getty Images

QR codes at seats

Need to remember a player’s name? Want to look up an opponent’s statistics at halftime? The team at Digital Seat Media has you covered.

Thus far, the company has added seat tags to more than 50 venues—including two NFL stadiums—with QR codes to promote more engagement with the product on the field.  After scanning the code, fans can access augmented reality features, look up rosters and scores, participate in sponsorship integrations, and answer fan polls on the mobile platform.

Analysts introducing AI technology at a sports conference.

Boris Streubel/Getty Images for DFL // Getty Images

Real-time data analytics and generative AI

As more venues look to reinvigorate the in-stadium experience, some have started using generative artificial intelligence and real-time data analytics.  Though not used widely yet, generative AI tools can create new content—text, imagery, or music—in conjunction with the game, providing updates, instant replays, and location-based dining suggestions

Last year, the Masters golf tournament even began including AI score projections in its mobile app. Real-time data is streamlining various stadium pitfalls, allowing operation managers to monitor staffing issues at busy food spots, adjust parking flows, and alert custodians to dirty or damaged bathrooms. The data also helps with security measures. Open up an app at a venue like the Honda Center in Anaheim, California, and report safety issues or belligerent fans to help better target disruptions and preserve an enjoyable experience.

Story editing by Nicole Caldwell. Copy editing by Paris Close. Photo selection by Lacy Kerrick.

This story originally appeared on Uniqode and was produced and
distributed in partnership with Stacker Studio.

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Import costs in these industries are keeping prices high

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Machinery Partner used Bureau of Labor Statistics data to identify the soaring import costs that have translated to higher costs for Americans.  
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Inflation has cooled substantially, but Americans are still feeling the strain of sky-high prices. Consumers have to spend more on the same products, from the grocery store to the gas pump, than ever before.

Increased import costs are part of the problem. The U.S. is the largest goods importer in the world, bringing in $3.2 trillion in 2022. Import costs rose dramatically in 2021 and 2022 due to shipping constraints, world events, and other supply chain interruptions and cost pressures. At the June 2022 peak, import costs for all commodities were up 18.6% compared to January 2020.

While import costs have since fallen most months—helping to lower inflation—they remain nearly 12% above what they were in 2020. And beginning in 2024, import costs began to rise again, with January seeing the highest one-month increase since March 2022.

Machinery Partner used Bureau of Labor Statistics data to identify the soaring import costs that have translated to higher costs for Americans. Imports in a few industries have had an outsized impact, helping drive some of the overall spikes. Crop production, primary metal manufacturing, petroleum and coal product manufacturing, and oil and gas extraction were the worst offenders, with costs for each industry remaining at least 20% above 2020.


A multiline chart showing the change in import costs in four major product industries.

Machinery Partner

Imports related to crops, oil, and metals are keeping costs up

At the mid-2022 peak, import costs related to oil, gas, petroleum, and coal products had the highest increases, doubling their pre-pandemic costs. Oil prices went up globally as leaders anticipated supply disruptions from the conflict in Ukraine. The U.S. and other allied countries put limits on Russian revenues from oil sales through a price cap of oil, gas, and coal from the country, which was enacted in 2022.

This activity around the world’s second-largest oil producer pushed prices up throughout the market and intensified fluctuations in crude oil prices. Previously, the U.S. had imported hundreds of thousands of oil barrels from Russia per day, making the country a leading source of U.S. oil. In turn, the ban affected costs in the U.S. beyond what occurred in the global economy.

Americans felt this at the pump—with gasoline prices surging 60% for consumers year-over-year in June 2022 and remaining elevated to this day—but also throughout the economy, as the entire supply chain has dealt with higher gas, oil, and coal prices.

Some of the pressure from petroleum and oil has shifted to new industries: crop production and primary metal manufacturing. In each of these sectors, import costs in January were up about 40% from 2020.

Primary metal manufacturing experienced record import price growth in 2021, which continued into early 2022. The subsequent monthly and yearly drops have not been substantial enough to bring costs down to pre-COVID levels. Bureau of Labor Statistics reporting shows that increasing alumina and aluminum production prices had the most significant influence on primary metal import prices. Aluminum is widely used in consumer products, from cars and parts to canned beverages, which in turn inflated rapidly.

Aluminum was in short supply in early 2022 after high energy costs—i.e., gas—led to production cuts in Europe, driving aluminum prices to a 13-year high. The U.S. also imposes tariffs on aluminum imports, which were implemented in 2018 to cut down on overcapacity and promote U.S. aluminum production. Suppliers, including Canada, Mexico, and European Union countries, have exemptions, but the tax still adds cost to imports.

U.S. agricultural imports have expanded in recent decades, with most products coming from Canada, Mexico, the EU, and South America. Common agricultural imports include fruits and vegetables—especially those that are tropical or out-of-season—as well as nuts, coffee, spices, and beverages. Turmoil with Russia was again a large contributor to cost increases in agricultural trade, alongside extreme weather events and disruptions in the supply chain. Americans felt these price hikes directly at the grocery store.

The U.S. imports significantly more than it exports, and added costs to those imports are felt far beyond its ports. If import prices continue to rise, overall inflation would likely follow, pushing already high prices even further for American consumers.

Story editing by Shannon Luders-Manuel. Copy editing by Kristen Wegrzyn.

This story originally appeared on Machinery Partner and was produced and
distributed in partnership with Stacker Studio.

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The states where people pay the most in car insurance premiums

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Cheap Insurance compiled a ranking of the states where people pay the most in full-coverage car insurance premiums using MarketWatch data.
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Nearly every state requires drivers to carry car insurance, but the laws vary, and many factors affect the cost of coverage.

Some are controllable, at least to degrees: the type of car you have and your credit history. Some are not: your age and gender. Your marital status, place of residence, and claims history are among the other variables that go into it.

Across the United States, premiums are soaring, rising 20% year over year and increasing six times faster than consumer prices overall as of December 2023, CBS reported. Last September, CNN noted that car insurance rates jumped more in the previous year than they had since 1976.

CBS pointed to many potential reasons for these increases in prices. Coronavirus pandemic-era issues have made buying, fixing, and replacing vehicles costlier. Extreme weather events caused by climate change also damage more vehicles, while insurance companies are increasing their business costs. Severe and more frequent crashes are to blame as well, CNN reported.

On top of these, local factors such as population density, the number of uninsured drivers, and the frequency of insurance claims all affect premiums, which can lead motorists to change or switch their coverage, use other modes of transportation, or even alter decisions about when to buy a vehicle or what to look for.

To see how geography affects cost, Cheap Insurance mapped the states where people pay the most in car insurance premiums using MarketWatch data. Premium estimates were based on full-coverage car insurance for a 35-year-old driver with good credit and a clean driving record. Data accurate as of February 2024.


A heat map showing full-coverage car insurance premiums across the US

Cheap Insurance

Americans pay $167 per month on average for full-coverage insurance

There are common denominators among the five states where it’s most expensive to have car insurance: Michigan, Florida, Louisiana, Nevada, and Kentucky. Washington D.C. is another pricey locale, ranking #4 overall.

Three of these six are no-fault jurisdictions and require additional coverage beyond coverage to pay for medical costs. Michigan notably calls for $250,000 in personal injury protection (though people with Medicaid and Medicare may qualify for lower limits), $1 million in personal property insurance for damage done by your car in Michigan, and residual bodily injury and property damage liability that starts at $250,000 for a person harmed in an accident.

Other commonalities between these states include high urban population densities. At least 9 in 10 people in Nevada, Florida, and Washington D.C. live in cities and urban areas, which leads to more crashes and thefts and high rates of uninsured drivers and lawsuits. Additionally, Louisiana, Florida, and Kentucky rank #5, #8, and #10, respectively, in motor vehicle crash deaths per 100 million vehicle miles traveled in 2021 based on Department of Transportation data analyzed by the Insurance Institute for Highway Safety.

A highway in Louisville.

Canva

#5. Kentucky

– Monthly full-coverage insurance: $210
– Monthly liability insurance: $57

A car driving through the desert and mountain scenery in Nevada.

Canva

#4. Nevada

– Monthly full-coverage insurance: $232
– Monthly liability insurance: $107

Cars parked on a street in New Orleans.

Canva

#3. Louisiana

– Monthly full-coverage insurance: $253
– Monthly liability insurance: $77

A bridge over turquoise water.

Canva

#2. Florida

– Monthly full-coverage insurance: $270
– Monthly liability insurance: $115

A truck on a highway surrounded by Fall foliage.

Canva

#1. Michigan

– Monthly full-coverage insurance: $304
– Monthly liability insurance: $113

Story editing by Carren Jao. Copy editing by Paris Close. Photo selection by Lacy Kerrick.

This story originally appeared on Cheap Insurance and was produced and
distributed in partnership with Stacker Studio.

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