100 Million Americans to Use Generative AI by End of 2024: New Report

According to the GenAI User Forecast 2024 report by eMarketer, about 100.1 million US consumers are going to use generative AI at least once this year. This is a 900% increase from 7.8 USA people in 2022. The report also predicts that 32.6% of USA citizens who are internet users will become generative AI users this year too.

Google has already integrated generative AI in its search results so many people are already using generative AI without realizing it. Many social media apps are also using AI so many people are quickly getting used to generative AI in their everyday lives. Many workplaces are also incorporating AI in their daily tasks and it is predicted that many workplaces will shift to generative AI completely by the end of 2026.

In 2025, the number of generative AI users in the USA are going to jump to 116.8 million and in 2026, the number will likely reach 127.2 million. Nearly 36.7% of US citizens are going to become generative AI users by the end of 2026. 

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by Arooj Ahmed via Digital Information World

Unbelievable 2026 Trend: AI to Create 48% of Business Social Media Posts!

Capterra conducted a survey of 1600 social media marketers to find out how many companies are going to use generative AI in the future. According to the survey, 48% of the companies are planning to use generative AI for social media marketing by 2026. Right now, only 39% of the companies think so but this percentage is going to increase in the upcoming years. The survey says that use of generative AI in the marketing field is going to increase a lot in regional powers while other regions are also going to use AI tools for social media marketing.

Right now, Australia, Canada, USA and Brazil are doing above-average use of generative AI while Canada, Spain and Brazil are going to increase the use of AI the most in the upcoming 18 months. Currently, AI is being widely used in English speaking countries because most of the information AIs are trained on are in English. Even though most AI models offer translation features, English speakers can make the best use of available data.

38% of the companies are going to adapt to AI in hopes that it will increase work productivity and efficiency. 34% of them are going to use it for easier idea generation and 33% of companies will use it for increased content production. 94% of companies who are already using generative AI say that it has saved them a lot of time and 73% say that AI has helped them increase impressions and engagements. 34% also claimed that AI generated content performs well as compared to 49% who said human created content performs better.

Generative AI also comes with many risks to the companies. 43% of the companies say that maintaining the authenticity of AI generated content is top risk for them. 35% say that it is challenging to make the audience interested in AI generated content while 19% say that overcoming internal resistance is a risk for them. Overall, 94% of the companies are worried that using generative AI content is going to harm their reputation. Experts say that if businesses and companies want to implement AI, it is important for them to know its potential risks. Businesses should make AI policies to save their time, improve engagements and yield competitive advantages. It is also advised that companies shouldn't risk publishing boring or misleading content and should thoroughly check the content before posting it on social media. Make sure to track the performance of AI generated content and make changes in your strategies accordingly.

Take a look at the charts below for more insights:

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by Arooj Ahmed via Digital Information World

Google Enhances Chrome: Desktop Lens, AI-Driven Tab Comparison, and Natural Language Search Introduced

Google is expanding Lens, which was previously available only on mobile, to desktop users. Lens will now be accessible directly from the address bar and the three-dot menu in Google Chrome. Alongside this, Google is introducing new Gemini-powered features in Chrome, including a tab comparison tool for shopping and natural language integration for search history.

With Lens on desktop, users can click on various objects within images to identify brands. Additionally, users might receive AI-generated summaries when asking questions through Google Lens. The Gemini-powered Lens will also answer diverse queries, such as the water or sunlight requirements for a plant or solutions to math problems.

Another new feature is an AI-powered tab comparison tool. It will consolidate product information from multiple tabs into one view, allowing users to compare features, ratings, and prices without switching tabs.

Lastly, a natural language search history query will be available. If you forget what pages or searches led you to a particular result, you can ask, “What was the online bookstore I looked at yesterday?” Google will use page titles, URLs, and content to provide relevant search results. This feature will be rolled out to US users in the coming weeks.

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by Arooj Ahmed via Digital Information World

US 5G SA Speeds Surge; T-Mobile's Average Hits 363.53 Mbps, Up from 2023 Levels

Ookla’s news report talks about 5G StandAlone (SA) performance in different parts of the USA and how it is better than the overall 5G network. The report indicates that the internet speed after 5G SA has increased a lot since 2023 because the demand for faster performance has also grown a lot. The only parts of the world who have implemented this fast internet technology are the USA and South East Asia. T-mobile is the only major service provider in the USA which has launched 5G SA technology.

T-mobile claims that their internet speed is 3.3 Gbps but according to Ookla, the average or median speed is 363.53 Mbps which is about 10% of the fastest speed. It is faster than 279.44 Mbps in 2023 and in 2024, the 5G speed is about 77 Mbps faster than last year. On the other hand, Brazil saw a drop in its 5G SA speed from 543.04 Mbps in 2023 to 474.65 Mbps in 2024. Canada has a median 5G speed of 248.99 Mbps which is faster than 149.49 Mbps in 2023.

In the Asian Pacific Region, South Korea is at the top with 729 Mbps, followed by Singapore (517.73 Mbps) and Macau (428.98 Mbps). Japan, China, Hong Kong and Australia are also among countries with the fastest 5G speed. If you have T-Mobile service, you can turn on 5G SA by going to your mobile settings.

Read next: Researchers Used Example of Nuclear Fission to Explain How a Rumor Spreads in a Society
by Arooj Ahmed via Digital Information World

Researchers Used Example of Nuclear Fission to Explain How a Rumor Spreads in a Society

Researchers from Shandong Normal University in China, led by Wenrong Zheng published a paper which talks about how a rumor doesn't go viral, instead gets nuclear. The researchers gave an example of how an infection spreads to make people understand the spread of information or misinformation. Just like people act as vectors for the spread of viruses, they are also a vector in spreading lies across masses.

It is a fact that lies travel faster than truth because people are more interested in listening to rumors than boring truths. The researchers say that the infectious disease model isn't that helpful in understanding the spread of lies. This is because diseases do not propagate actively but rumors do. The infectious disease model also just talks about the result of disease, that is, death but not other factors.

So what other natural processes can researchers use to study the spread of rumors? Many researchers have used a number of processes but the researchers of this study used nuclear fission to explain the phenomenon. Nuclear fission is the splitting of a nucleus into two or more nuclei by collision of uranium atom and neutron which produces large amounts of heat and radiation. The researchers named the rumors as neutrons, uranium atoms are named as receivers of rumors and barriers to fission are named as active propagation thresholds. The energy the fission produces is compared to the society’s reaction to online rumors.

When a neutron (rumor) collides with uranium atoms (people), the uranium produces energy according to the impact of collision. So, if a rumor is of high energy, people are going to get activated quickly and the spread will be larger too. Is the heat being produced by the activation of rumor getting utilized, that is, through user activity? Even though people are categorized as atoms, they still possess human qualities like how much someone is resistant to rumors, how educated a person hearing rumors is, how quickly someone can identify misinformation?

The overall heat produced by rumors is used to study how society is treating a rumor. The propagation can also be studied by using this nuclear model. It is an interesting way to look at how rumors can spread and how society is going to react to it. It can also help us understand which types of rumors society reacts quickly too and which types of rumors do not leave much impact after fission.

Image: DIW-Aigen

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by Arooj Ahmed via Digital Information World

Reddit CEO Justifies Blocking Microsoft From Crawling Its Site As Google Attains More Data

Last week, we heard about tech giant Reddit being accused of favoring Google while others such as Microsoft were blocked from crawling the platform.

Many questioned the behavior, forcing the company’s CEO to finally come forward and reveal the real reason why Bing was on the block list. And no surprises here as money is involved.

While most tech experts assumed an exclusive deal was signed behind close doors that gave Google an edge, the reality is far from that. CEO Steve Huffman explained how it’s got to do with the mere fact that Microsoft just won’t play ball.

It refuses to pay while Google is the exact opposite. This leaves the app with no choice but to prevent anyone crawling its site for free.

The deal that is in place with Google is worth a staggering $60M where the search giant can make use of Reddit data to improve its AI systems. Microsoft isn’t being left out, the CEO adds. It’s just that it refuses to negotiate and that’s why not a lot can be done there.

Seeing the drama and chaos unfold with all of these tech giants has been interesting. No deal or settlement was reached between Microsoft and Reddit, despite numerous discussions. Reddit accuses some other AI firms of reaching agreements that puts the company at a loss while there were quite a few unwilling to make promises that they could abide by.

Microsoft is saying no to negotiations because it feels Reddit does not even deserve a dime for that data. While the software giant refuses to go into the details on why it is being so stern, it did explain how it would accept and respect the painstaking task of being blocked from scrapping data from its page.

We feel that Microsoft is literally handing Google the driving seat position by ignoring Reddit’s demands. It’s just giving more people the chance to use Google than Bing, not to menton how the former’s marketshare is already hitting peak.

One thing that is interesting is how Microsoft striking a deal with Reddit is going to give rise to another deal with all other digital publishers. This is something great for the publishers but not so fascinating for Microsoft who would be attaining so much data free of cost.

Even tech giant OpenAI is on the right side of the story for Reddit, striking a deal at the year’s start for its SearchGPT.

This is all making us think about one thing. Investors can soon become tired of Microsoft’s antics and behavior because even after investing so much in AI, there’s not a lot of return. Do you agree?

We will keep you updated on whether or not Microsoft caves into the demands made by Reddit as it’s a game of wait and watch.

Image: DIW-Aigen

Read next:

• Gartner: Many Businesses Are Going to Abandon their AI Projects Because of too Much Data and Financial Risks

• New Research Shows Tech Community has Extremely Polarized Thoughts About AI and Its Implications
by Dr. Hura Anwar via Digital Information World

Gartner: Many Businesses Are Going to Abandon their AI Projects Because of too Much Data and Financial Risks

According to Gartner, a research and consulting firm, 30% of the companies who have started AI projects will abandon them by the end of next year. This is because working with AI is harder for many businesses and they lack data quality and do not have enough budgets to work with AI. Some of these businesses also do not have any idea how to manage risk controls and some of them do not have enough business value to adapt to AI.

Right now, many businesses are using AI for a number of tasks. Some are using it for coding assistance, some are taking help from AI for content creation and many are utilizing AI for document research. Some businesses are also using AI as virtual assistants while some are using LLMs for financial services. Among all these AI tasks, AI coding assistants require the least amount of cost which ranges from $100k to $200k. AI costs a fortune if you are building it from scratch for your business. If you are creating a medical or financial services LLM, it can cost from $8 million to $20 million with a recurring cost of minimum $11k to maximum $21k.

Gartner says that there was too much hype around generative AI so many companies started implementing AI last year. But most of them have realized that AI costs them a lot and they do not have enough budget to organize and develop LLMs. There are just too many risks about implementing AI in your business as compared to not implementing it at all. So, there is no wonder why many businesses are totally going to abandon this idea by the end of 2025.

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