Product Returns Reach $890B in 2024 as Clothing Leads and Half of Americans Avoid Sending Items Back

The National Retail Federation and Happy Returns published a report that highlights the state of product returns, revealing key trends in consumer behavior. According to the report, 16.9% of the annual sales in 2024 in the US were returned to their respective sellers, while 20% of the online sales were returned. The report says that about $890 billion worth of products were returned by customers in 2024, especially considering how much it costs to process and return a product.

On the other hand, Statista Consumer Insights found that clothing was the most returned shopping item in 2024, with 25% of the respondents returning clothing parcels. It was followed by shoes (17%) and accessories (12%). 12% of the respondents also said that they returned food & beverage items to their sellers. This was found after surveying 9,778 US adults between April 2024 to March 2025.

Other returned items in 2024 by the US respondents included consumer electronics (10%), cosmetics & body care (9%), books and entertainment goods (9%), and furniture & household items (8%). 50% of the respondents of the survey also said that they didn't return any product in the last 12 months, while 7% said they haven't even made an online purchase in the last 12 months.

While returns are an inevitable part of retail, both consumers and businesses can benefit from greater transparency and proactive strategies. For shoppers, checking sizing guides, product reviews, and return policies can reduce unnecessary purchases. For brands, clearer product information, predictive sizing tools, and smoother return logistics can lower costs and enhance trust, while minimizing environmental impact.

Read next: Workplace AI Adoption Soars as Risky Practices and Poor Oversight Undermine Organizational Safety
by Arooj Ahmed via Digital Information World

Meta Launches Independent AI Platform with Personalized Features from Facebook and Instagram Data

Tech giant Meta is taking one step further in the world of AI by rolling out its first stand-alone AI platform.

The news comes after the company combined Meta AI with Instagram, Facebook, Messenger, and WhatsApp. The grand unveiling for the product was done recently at the company’s LlamaCon event. This platform gives users the chance to get access to Meta AI through a single platform, very much similar to ChatGPT and numerous other AI assistant platforms.

To win over many other people’s hearts, the company has been in the works to develop something that differentiates it from other AI giants in the industry, like OpenAI and Anthropic. Therefore, Meta says they’ve got the sense of who a certain individual is, what they like, and who they’re hanging out with, depending on years of information that they shared through apps like Instagram and Facebook.

Meta’s AI platform can differentiate itself from currently existing AI assistants because it could draw on data that was already chosen to share on Meta’s various offerings, the company adds. This could include your profile or any posts users engage with. Right now, the customized replies would be up for grabs in places like America and Canada.

You can also provide Meta with more data about you as a person so it can remember for further chats linked to AI. You can tell AI that you are allergic to nuts, and it could go on to recall that for a long time, and even provide recommendations when you’re on holiday next time.

Similar to any other AI offering, users need to be aware of how the firm could use this kind of personal data as it's shared with chatbots. Remember, the firm relies more on prized user data to power users with targeted ads. In case you were not already aware, it makes up the majority of the revenue.

Meta’s AI platform also shared a new Discover Feed. This is where users can share how they use AI with close friends, as part of a mock-up picture. Meta shared an example where a user asked the AI to describe them using emojis. This was shared with friends. So, as you can tell, all interactions would only be limited to which feed is chosen.

This feed could amplify specific generative AI trends like the viral one where users try to appear as a Barbie Doll or the ever-so-controversial Studio Ghibli character. Some do feel that every platform doesn’t need a social feed, but let’s see how this turns out.

Read next: 2025 Email Threat Report: PDFs Carry 68% QR Phishing, 1 in 5 Firms Hit Monthly, DMARC Absent in 47%
by Dr. Hura Anwar via Digital Information World

2025 Email Threat Report: PDFs Carry 68% QR Phishing, 1 in 5 Firms Hit Monthly, DMARC Absent in 47%

According to the 2025 Email Threats Report by Barracuda, email-based attacks are rising, highlighting the need for public awareness and preparedness. The report found that 23% of the HTML attachments in the emails are malicious. The cybercriminals aren't only relying on malicious links, they are also inserting harmful material in email attachments, which evade many security measures.

The report also found that 20% of the organizations have experienced account takeover (ATO), whether attempted or successful, at least once every month. Most of the time, access to the account is gained through credential stuffing, phishing scams, and exploiting passwords that are very weak. It was also found that 83% of malicious Microsoft documents and 68% of malicious PDF attachments contain QR codes that take users to malicious websites for phishing. 12% of the Bitcoin sextortion scams also happen because of PDF attachments, which have malicious code.

DMARC (Domain-based Message Authentication, Reporting and Conformance) was not present in 47% of the email domains which makes it easy for cybercriminals to attack organisations through impersonation and spoofing attacks. 24% of the messages received via email are malicious or unwanted spam, which is complicating the security of emails, as it is getting harder to know which emails are truly malicious. Email security is important, and it can be done through different threat detectors and AI to identify hidden attacks in attachments and any malicious signs within an email.

Image: DIW-Aigen

Read next: Workplace AI Adoption Soars as Risky Practices and Poor Oversight Undermine Organizational Safety
by Arooj Ahmed via Digital Information World

Workplace AI Adoption Soars as Risky Practices and Poor Oversight Undermine Organizational Safety

Have you ever used ChatGPT to draft a work email? Perhaps to summarise a report, research a topic or analyse data in a spreadsheet? If so, you certainly aren’t alone.

Artificial intelligence (AI) tools are rapidly transforming the world of work. Released today, our global study of more than 32,000 workers from 47 countries shows that 58% of employees intentionally use AI at work – with a third using it weekly or daily.

Most employees who use it say they’ve gained some real productivity and performance benefits from adopting AI tools.

However, a concerning number are using AI in highly risky ways – such as uploading sensitive information into public tools, relying on AI answers without checking them, and hiding their use of it.

There’s an urgent need for policies, training and governance on responsible use of AI, to ensure it enhances – not undermines – how work is done.

Our research

We surveyed 32,352 employees in 47 countries, covering all global geographical regions and occupational groups .

Most employees report performance benefits from AI adoption at work. These include improvements in:

• efficiency (67%)
• information access (61%)
• innovation (59%)
• work quality (58%).

These findings echo prior research demonstrating AI can drive productivity gains for employees and organisations .

We found general-purpose generative AI tools, such as ChatGPT, are by far the most widely used. About 70% of employees rely on free, public tools, rather than AI solutions provided by their employer (42%).

However, almost half the employees we surveyed who use AI say they have done so in ways that could be considered inappropriate (47%) and even more (63%) have seen other employees using AI inappropriately.

Sensitive information

One key concern surrounding AI tools in the workplace is the handling of sensitive company information – such as financial, sales or customer information.

Nearly half (48%) of employees have uploaded sensitive company or customer information into public generative AI tools, and 44% admit to having used AI at work in ways that go against organisational policies.

This aligns with other research showing 27% of content put into AI tools by employees is sensitive.

Check your answer

We found complacent use of AI is also widespread, with 66% of respondents saying they have relied on AI output without evaluating it. It is unsurprising then that a majority (56%) have made mistakes in their work due to AI.

Younger employees (aged 18-34 years) are more likely to engage in inappropriate and complacent use than older employees (aged 35 or older).

This carries serious risks for organisations and employees. Such mistakes have already led to well-documented cases of financial loss , reputational damage and privacy breaches .

About a third (35%) of employees say the use of AI tools in their workplace has increased privacy and compliance risks.

‘Shadow’ AI use

When employees aren’t transparent about how they use AI, the risks become even more challenging to manage.

We found most employees have avoided revealing when they use AI (61%), presented AI-generated content as their own (55%), and used AI tools without knowing if it is allowed (66%).

This invisible or “ shadow AI ” use doesn’t just exacerbate risks – it also severely hampers an organisation’s ability to detect, manage and mitigate risks.

A lack of training, guidance and governance appears to be fuelling this complacent use. Despite their prevalence, only a third of employees (34%) say their organisation has a policy guiding the use of generative AI tools, with 6% saying their organisation bans it.

Pressure to adopt AI may also fuel complacent use, with half of employees fearing they will be left behind if they do not.

Better literacy and oversight

Collectively, our findings reveal a significant gap in the governance of AI tools and an urgent need for organisations to guide and manage how employees use them in their everyday work. Addressing this will require a proactive and deliberate approach.

Investing in responsible AI training and developing employees’ AI literacy is key. Our modelling shows self-reported AI literacy – including training, knowledge, and efficacy – predicts not only whether employees adopt AI tools but also whether they critically engage with them.

This includes how well they verify the tools’ output, and consider their limitations before making decisions.

We found AI literacy is also associated with greater trust in AI use at work and more performance benefits from its use.

Despite this, less than half of employees (47%) report having received AI training or related education.

Organisations also need to put in place clear policies, guidelines and guardrails, systems of accountability and oversight, and data privacy and security measures.

There are many resources to help organisations develop robust AI governance systems and support responsible AI use .

The right culture

On top of this, it’s crucial to create a psychologically safe work environment, where employees feel comfortable to share how and when they are using AI tools.

The benefits of such a culture go beyond better oversight and risk management. It is also central to developing a culture of shared learning and experimentation that supports responsible diffusion of AI use and innovation.

AI has the potential to improve the way we work. But it takes an AI-literate workforce, robust governance and clear guidance, and a culture that supports safe, transparent and accountable use. Without these elements, AI becomes just another unmanaged liability.

This article first appeared on The Conversation.

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by Web Desk via Digital Information World

The Training of AI Is Too Costly: Millions Are Spent To Train AI models

The training of AI models requires millions of dollars. It is not simply a matter of training AI on a large number of datasets alone. Better chips, expert staff and research are an important part of the whole process. These factors take the total cost of training AI models up to millions of dollars.

The recent 2025 AI Index Report by HAI has revealed the cost of training major AI models owned by major tech companies. Some of these models cost more than 100 million dollars. So what appears to be a simple AI model is actually a million-dollar project.

As per the report, DeepSeek from China and Llama 2-70B from Meta cost $6 million and $3 million for training them, respectively. Though still expensive, they are relatively cheaper when compared to other AI models from major companies.

PaLM 2 model from Google cost $29 million, and Mistral Large from Mistral cost around $41 million. Their cost is high, but they are still nowhere near the most expensive AI models being used today.

More complex models like OpenAI's ChatGPT-4 that uses artificial neural networks to guess sequences of words cost $79 million. Its new models like o1 and o3 give even better answers to users due to their test-time compute strategy. But the better version is even costlier. Its Pro o1 monthly subscription is available for $200.

If I talk about the costliest versions available, Grok-2 from xAI cost around $107 million. Similarly, Llama 3.1-405B from Meta and Gemini 1.0 ultra from Google cost $170 million and $192 million respectively.

These are pretty huge numbers, and this is just the initial stage of AI models. It is not difficult to predict that future AI versions will cost companies more due to costlier chips and research. For users, it simply means higher subscription rates.

Read next: Which Countries Are Allocating the Highest Percentage of GDP to Research and Development Investment?
by Ehtasham Ahmad via Digital Information World

Amazon Rolls Out First Batch of Kuiper Internet Satellites into Space

Amazon just launched its first series of Kuiper internet satellites into space after a previous failed attempt due to unsuitable weather.

The company shared how it was able to successfully launch 27 Kuiper satellites from the Cape Canaveral Space Force Station launchpad. This was located in Florida, a little after 7 pm Eastern time. They confirmed the breakthrough launch through a livestream event.

The company shared during the livestream how the countdown went smoothly, the weather was perfect, and the liftoff was seamless. Now, Atlas V is making an orbit to take the 27 Kuiper satellites belonging to Amazon. Once that’s done and they are adjusting accurately, it would give rise to a new period of internet connectivity, it added.

The satellites would be staying separate from a rocket that’s roughly 280 miles above the surface of the Earth, at which point Amazon would look to confirm their presence and maneuver independently and communicate with various employees located on the ground.

Nearly six years ago, Amazon shared big plans to design a major constellation of internet-beaming satellites present in low Earth orbit, dubbed Project Kuiper. This kind of service would be competing in a direct manner with archrivals such as Elon Musk’s Starlink. Today, the latter dominates this area. It has about 8000 satellites currently in orbit as we speak.

The initial Kuiper mission just kicked off a new era of launches for Amazon, which it needed to do to meet the deadline outlined by the FCC. The agency hopes the firm to have 50% of the total constellation in space by next summer. So as you can see, the competition is tough, but this might be the star that Amazon needed to reach its target.

Right now, Amazon has more than 80 launches booked to roll out dozens of satellites over a certain period of time. Other than ULA, the launch partners entail Elon Musk’s SpaceX, the EU’s Arianespace, and Bezos’ space exploration startup, which is Blue Origin.

Amazon allocated a massive investment worth $10 billion to design the entire Kuiper network. Through this system, it hopes to give rise to commercial services so consumers can benefit, as well as the government and other businesses.

Amazon’s CEO shared this past month in a letter to shareholders how it would need a mega investment at the start, but with time, it hopes to generate more meaningful income and ROIC business. We’ll hear more about this after the company’s first quarter earnings report is shared on Thursday.

Image: Amazon

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by Dr. Hura Anwar via Digital Information World

New Alert Issued Against AI Chatbots Being Very Deferential and Flattering to User Preferences

AI assistants unequivocally agree with all that is being said and show support along the way. This isn’t always good news, as the user believes what is being generated by the AI chatbot and shows support even if things are false. Some feel it’s more like a sci-fi tale than anything else. While other believe it is juts another patten being cloned from social media filter bubble.

This might be one good reason why even the former CEO of OpenAI is warning users about chatbots like ChatGPT and how relying on them might not be the best decision to begin with.

Recent interactions with GPT-4o LLMs have different capabilities and personality characteristics. Both Emmett Shear, former OpenAI CEO, and Clement Delangue, Hugging Face CEO, saw how AI chatbots can be very deferential and flattering towards the users’ preferences.

The outcry is mostly motivated by a huge update to GPT-4o that seems to make it so sycophantic and agreeable. It also shows support for some very concerning behavior from a user, like delusional thoughts, self-isolation, and even ideas for deception.

In reply, Altman shared through his X account how the last several updates for GPT-4o made this personality very sycophant and, in some cases, irritating. The company hopes to make things better, but the way things are going right now, that’s not the case.

OpenAI’s model designer shared how they rolled out a new fix for the loopholes in 4o. There was an original launch using a system message that received unintended behavior effects. They did find antidotes. 4o is better for now, but they do hope to similarly launch adjustments in the upcoming few weeks.

Image: AI Notkilleveryoneism Memes / X

There were several examples of this behavior by the GPT-4o model that offer the greatest praise for dangerous user ideas. Users were quick to share examples on Reddit and the X app. The chatbot goes as far as to thank a user for trusting them, making them appear like they’re a shoulder to lean on. They take their side as if they’ve taken the right decision to go the extreme route. It offers a helping hand and an ear to listen to all the issues, not knowing how dependent they’re turning out to be on the user.

One user went as far as to suggest that the chatbot suggested and supported terrorism. The fact that a chatbot can manipulate a user without any bounds is alarming behavior. They boost a user’s ego and keep telling them exactly what they wish to hear without any kind of criticism.

Experts are weighing in on the situation and how the chatbot is provided to make the user happy or satisfied at all costs. There is no privacy and honesty across the board. And this behavior is very dangerous.

This serves as a reminder for business owners that the quality of the model isn’t only linked to accuracy. It’s about being trustworthy and spitting out the facts, which ChatGPT lacks. Pure flattery is never the right way to go about the situation, as it ignores reality.

Read next: Which Dream Schools Are Dominating Students’ and Parents’ Lists in 2025?
by Dr. Hura Anwar via Digital Information World

Which Dream Schools Are Dominating Students’ and Parents’ Lists in 2025?

The Princeton Review surveys thousands of college applicants and their parents to see what the top dream schools are among Americans in different states. Their infographic highlighted the top ten most sought-after colleges by students in 2025 after looking at the survey taken among 2294 parents and 7023 students. According to the results, the Massachusetts Institute of Technology (MIT) is the top dream school of students, while parents rank Princeton University as their top choice.

Harvard College got demoted to the second spot as a dream college amongst students due to several controversies, while MIT is the second top college among parents. Other top dream colleges of students include Stanford University, Princeton University, Yale University, and Columbia University. New York University, the University of Michigan, the University of Pennsylvania, and UCLA are also the top ten dream colleges of students.

The survey also found that 38% of the students know that they have to pay approximately $150,000 to get their degree, while 98% need financial aid to go through college. When the survey asked respondents why they need a college degree, 46% said that they need it for better jobs and high salaries, 29% want the degree for innovative ideas and 25% want a degree just because they love education.

As students look to top schools like MIT, Princeton, and Harvard, it’s important to remember that a degree alone doesn’t guarantee success. Yes, a prestigious college may open doors, but skills and experience are what really matter in today’s job market. More and more, employers are focusing on what you can do, not just where you went to school. The real-world experience you gain outside of a classroom — whether through internships, projects, or personal initiatives — often holds more value than a diploma. And with AI changing the way we work, the future will favor those who can adapt and innovate, not just those with a degree. The message is clear, it’s not where you go, it’s what you can do that counts.

Read next: Google’s Report Reveals 122-Hour Productivity Gains, AI’s Economic Impact, and Challenges for Older Workers
by Arooj Ahmed via Digital Information World

Which Countries Are Allocating the Highest Percentage of GDP to Research and Development Investment?

Data from the OECD highlights the countries making the largest investments in research and development (R&D). Asian countries lead with 46%, followed by North America at 29% and Europe at 21%. $2.8 trillion was spent on R&D in 2023 by different countries globally. According to the data, 6.3% of GDP was invested in research and development by Israel, which is the most by any country. Not only this, Israel also has the highest number of high-tech startups per capita. 92% of the investment in R&D in Israel came from the private sector, and they made about $28.3 billion.

Israel was followed by South Korea, which invested 5% of its GDP on research and development, followed by Taiwan with 4% of its investments going towards R&D. This amounts to $59.9 billion made for research and development in Taiwan in 2023, and is an 8.8% increase from the past five years. Other countries in the top ten which invested the most in research and development in 2023 were Sweden (3.6% of GDP) and the US (3.4% of GDP).

Even though the US is the fifth country with the largest share of its GDP spent on research and development, it amounts to $823.4 billion, which is the highest in the world. China’s R&D investment has increased a lot since 2000, as it just touched the $723 billion figure which is the second highest all over the world.

Country	Research and Development Spending as a Percentage of Gross Domestic Product
Israel	6.3%
South Korea	5.0%
Taiwan	4.0%
Sweden	3.6%
United States	3.4%
Japan	3.4%
Belgium	3.3%
Switzerland	3.3%
Austria	3.3%
Germany	3.1%
Finland	3.1%
Denmark	3.0%
United Kingdom	2.8%
Iceland	2.7%
China	2.6%
Netherlands	2.2%
France	2.2%
Slovenia	2.1%
Norway	1.9%
Singapore	1.8%
Estonia	1.8%
Czechia	1.8%
Canada	1.8%
Portugal	1.7%
Australia	1.7%
Ireland	1.6%
Poland	1.6%
Spain	1.5%
Greece	1.5%
New Zealand	1.5%
Türkiye	1.4%
Croatia	1.4%
Hungary	1.4%
Italy	1.3%
Lithuania	1.0%
Slovak Republic	1.0%
Luxembourg	1.0%
Latvia	0.8%
Bulgaria	0.8%
South Africa	0.6%
Argentina	0.6%
Romania	0.5%
Chile	0.4%
Colombia	0.3%
Costa Rica	0.3%

Read next:

• YouTube Overtakes Netflix, Claims Top Spot in 2024 Global Internet Traffic Rankings

• Meta’s AI Chatbots Caught Sexting With Accounts Listed As Underage, Report Reveals
by Arooj Ahmed via Digital Information World

Meta’s AI Chatbots Caught Sexting With Accounts Listed As Underage, Report Reveals

Meta’s AI chatbots have stumbled into serious trouble, with a new report showing they took part in sexual conversations with accounts marked as minors. The Wall Street Journal ran tests that pushed not only Meta’s main AI but also a bunch of user-made bots into steering chats straight into explicit territory.

It didn’t stop with generic bots either. The mess reportedly includes celebrity-voiced bots too, featuring names like Kristen Bell, Judi Dench, and John Cena. One awkward moment? A bot using Cena’s voice told a profile labeled as 14 years old that it would "cherish your innocence", not exactly what anyone had in mind when talking AI safety.

Some of the bots even recognized they were flirting with illegal scenarios, according to the report. One case detailed a chatbot explaining the fallout if it got caught hooking up with someone underage.

Meta, for its part, slammed the findings, claiming that the whole thing paints a misleading picture of how real users interact with their AI tools. Still, the company says it’s tightened its defenses, making it harder for people trying to bait chatbots into saying messed-up things.

Pressure’s been building for Meta to keep pace with other AI giants like OpenAI’s ChatGPT, Character AI, and Anthropic’s Claude. The Journal’s investigation suggests Meta may have pushed for looser ethical boundaries to make its bots feel more alive. Meta’s spokesperson, though, insisted the company never skipped safety steps.

Insiders apparently flagged the problems internally before all of this went public. Whether Meta acts faster after this round of bad press remains to be seen.

Image: DIW-Aigen

Read next: 

• Meta’s CTO Says that AI is Going to Take Over Many Apps and How People Interact with Software

• YouTube Overtakes Netflix, Claims Top Spot in 2024 Global Internet Traffic Rankings

• Google’s Report Reveals 122-Hour Productivity Gains, AI’s Economic Impact, and Challenges for Older Workers
by Asim BN via Digital Information World

Google’s Report Reveals 122-Hour Productivity Gains, AI’s Economic Impact, and Challenges for Older Workers

According to a new report published by Google, AI can help people with productivity a lot and can save up to 122 hours a year. The estimations were that AI could help people save 100 hours a year but now workers can save up to 122 hours by using generative AI. These findings came through Google running an AI pilot project in the UK with schools, small businesses, and a union to see how AI is affecting people and their productivity. The report found that after receiving only a few hours of AI training, workers doubled their daily use of AI and kept using it a lot even after months.

Google also predicted that AI can make $400 billion and can add it to the economy of the UK by 2030, but it depends on how much workers will depend on AI. 66% of the workers are now using AI, with older women and people from lower-income backgrounds being the ones to have never used generative AI at work. The report also found that women over 55 are four times less likely to have never used AI as compared to men under 35. Small businesses are also slow in their AI adoption.

The report by Google also found that only 17% of the women of about 55 years used AI weekly, and 7% used it daily before training, but after three months of training, 56% of the workers started using AI weekly, and 29% daily. A major barrier to the use of AI by workers is that they need permission to prompt, meaning that they need clear approval from their companies that AI is allowed. Many workers started using AI on their own by exploring AI features and looking up tips to use it after training. As Google is competing with OpenAI, it is pushing its AI features everywhere and asking people to use them for their convenience. But people are still hesitant to use them, because there are chances of error with AI usage.

DIW-AIgen

Read next: Meta’s CTO Says that AI is Going to Take Over Many Apps and How People Interact with Software
by Arooj Ahmed via Digital Information World

YouTube Overtakes Netflix, Claims Top Spot in 2024 Global Internet Traffic Rankings

According to the Sandvine report, YouTube was the top source of traffic in 2024, with 16% of total internet traffic coming from it. YouTube even surpassed Netflix in fixed-internet download traffic which was 12% of the total internet traffic in 2024. It's been 20 years since the release of YouTube and it spent a journey with amature videos and copyright issues and now it is home to a lot of content creators who got famous through it.

YouTube also had 21% of the total traffic on mobile in 2024, and outperformed many social media apps and paid streaming apps. Facebook (18%) had the most mobile internet traffic in 2024, followed by TikTok (15%) and Instagram (7%). YouTube has all kinds of video lengths, from short to medium to long, so it makes this easier for YouTube to compete with other social media and streaming apps, and people can use it anytime, anywhere.

Even though TikTok and Facebook are behind YouTube and Netflix on fixed internet connections, they are still ahead of Disney+ and Amazon Prime. 39% of the fixed global download traffic in 2024 was taken up by video apps, which was followed by social media (18%) and television (11%). 28% of the fixed upload traffic in 2023 in the US was by file sharing services like FaceTime, iCloud, and Google Cloud, while Facebook Messenger, TikTok, and Snapchat took the most upload traffic on mobile.

Other points to note are that YouTube used to lag behind Netflix in 2018, but it overtook Netflix in 2022. Right now, Facebook has the most users globally and it is followed by 2.5 billion users on YouTube. YouTube’s success is mostly because it's a free app, but the creative, unique, and real content on it also makes it loved among users. The only dark side of YouTube is that, as it's home to many subcultures, it can create many controversies, and users can also find themselves going through a lot of misinformation.

Read next: Meta’s CTO Says that AI is Going to Take Over Many Apps and How People Interact with Software
by Arooj Ahmed via Digital Information World

Meta’s CTO Says that AI is Going to Take Over Many Apps and How People Interact with Software

According to Meta’s technology officer (CTO), Andrew Bosworth, AI can turn into a nightmare for some companies because it can change how people interact with software. He said that right now, many people are using apps for different purposes, but it is going to change because of AI. He thought that that change would be ‘net positive’ and would disrupt the app-based models that many companies rely on.

Bosworth said that people use many apps like Spotify to get things done, but he would rather tell an AI what he wants and let it do its work and figure it out than open specific apps for specific purposes. He said that we have always used apps because that's how digital computing works, but AI can actually change that, and it is going to hurt a lot of brands. If the brand connection is lost, it can disrupt a lot of things like subscriptions, ad models, and premium services that many apps rely on.

He added that AI is already starting to change the SaaS industry, and a study by AlixPartners has shown that over 100 mid-sized software companies are being affected because of it. On the other hand, tech giants like Salesforce and Microsoft are heavily investing in AI, and many mid-sized companies are going to struggle to survive in the next two years. Despite this change about to happen, Bosworth says that this shift is good because it will focus on lower prices and better performance, even though many companies aren't going to like it.

Image: DIW-Aigen

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• Want to Edit Videos Like A Pro? Use these Best Free and Paid Video Editing Tools in 2025
by Arooj Ahmed via Digital Information World

Want to Edit Videos Like A Pro? Use these Best Free and Paid Video Editing Tools in 2025

Whether you are on YouTube, Instagram, TikTok or on any other social media platform, video content is the most widely employed way of sharing one’s own thoughts, lifestyle or creative content. What brings life to these videos is the editing style of it. The more impressively a video is edited, the more attractive it becomes and the more views it attracts. So editing style of videos is as important as the video itself. Plus, the tools used to edit these videos are also super important.

Not surprisingly, most people do not know what software or tools should be used to edit their videos or what software would better suit the type of video they want to create. Most of the best editing software have to be bought and are pretty expensive. But some of the great video editing software or tools are available for free. So it becomes a problem, especially for beginners, to choose from a large number of video editing software available, both free and paid versions.

What video editing tool would you be using in 2025? To make things easier, the following is the list of the best video editing software, paid and free, to use in 2025:

The Best Free Video Editing software

CapCut

The best free online video editing software that provides a range of colour effects, sound adjustments, stickers and other advanced tools. Available both in desktop and mobile versions, the app is a good option for editing videos for social media, especially Tiktok which is owned by the same company, Bytedance. It allows adding of TikTok sounds to videos before uploading them to the social media app. The app is also user-friendly with attractive font styles and caption auto generator.

The advanced features, like voice isolation, are available only in paid version, but it is only $7.99 per month, worth paying for.

Clipchamp Create

Windows substituted Clipchamp Create for Window Movie Maker, which means you will find it pre-installed in Windows. Its free version allows users to use all basic tools as well as export videos in 480p resolution.

If you want to use advanced features, you can also use its paid premium version that provides downloading at better resolutions and Clipchmap Speaker Coach as an assistant in adjusting pitch and voice quality–the paid version starts at $9 per month.

Canva

Canva is also one of the best free options available. Its ready-made templates make it user-friendly. Basic editing, like trimming and cutting, can easily be done using it.

Because it is simple, it is the best option for beginners who are familiar with only dragging videos and photos to an app and basic editing skills.

But for more advanced features, you have to subscribe to its paid version starting at $15 a month.

DaVinci Resolve

DaVinci Resolve is high level video editing software used both by Youtubers. It provides editing, visual effects, motion graphics etc. You can also export videos to it in ultra HD, which is a far better option than the ones provided by most other free video editing software.

But it also requires pretty heavy hardware to run it, at least 16GP memory on Windows or 8GB on Macs. Also, the software, when compared to other free video editing software, is more difficult to use.

For more advanced features, you can use its paid version for $295.

Adobe Creative Cloud Express

The software provides layouts, themes and varied templates for free to do quality video editing. You can also employ Adobe Firefly, AI image generator by Adobe, alongwith the video editing software to make a perfectly fitting pair for your work.

If you want to unlock premium options, then subscribe to their paid plans for $11.99 per month.

Descript

Descript generates text for your videos. Once generated, you can edit or cut the generated text as per your wishes, and your editing will be followed in your video simultaneously. It is just like editing your day-to-day texts.

Descript provides some of its best features for free and allows editing of 60 minutes of content.

As far as its paid version, it starts at $19 per month.

iMovie

It is the pre-installed video editor on Apple devices. It is free to use and user-friendly, allowing good quality video editing using various templates and modes, like Magic Movie Mode.

You can say that it is a must for someone not interested in the complexities of advanced editing.

The best paid video editing software to use in 2025

CapCut Pro

CapCut Pro is also the best paid video editing software available. It gives access to a variety of fonts, effects, like retouching effects, advanced background removal tools and vocal enhancements.

You can avail its services for $9.99 per month.

Veed.io

Veed.io is an online video editor that provides users with auto-generated captions, sound effects and music for your videos. The editor also includes AI avatars to read scripts for you and webcam recording. Another quality that sets it apart from many other editors is it being easy to use.

To avail these features, you have to pay $19 per month.

Capsule

Another online video editor is Capsule that has all the tools offered by other video editors. It offers transcript-based editing, animations, auto-resizing etc. Moverover, there is also an AI co-producer helping in cleaning up dialogue and creating auto-jump cuts.

The editor is costlier with the cost of $99 per month. You can enjoy all the tools for free for only three videos.

InShot

Downloadable from Play Store, InShot is a mobile app which is convenient to use. It provides all basic tools to edit, trim and speed up videos easily on your smartphone, and also to remove backgrounds. If you just want to upload photos and videos to social media, InShot is a good option for editing your videos.

The app could be used for free, but to unlock advanced feathers, you have to pay $3.99 per month.

Kapwing

Kapwing also offers all the tools and features offered by the apps or software mentioned above, like dragging, trimming, cutting etc. But what makes it different from the above is its content repurposing tool which locates key parts from your videos and repurposes them by highlighting them.

The paid version of the editor starts at $24 per month, but most of its features are also available for free.

Adobe Premiere Pro

Adobe Premiere Pro is a video editor belonging to the highest tier of video editors. It is not for beginners or for posting videos on social media, but the software is mostly used by professionals in editing documentaries and alike in post-production. The software offers the most advanced features and tools at $22.99 per month and is available for both Windows and Macs.

FinalCut Pro

It is only available on Macs and is a powerful video editing software used in the editing of movies. It offers high quality special effects for editing videos. Because it is a powerful software used only by professionals, it costs $299.99.

FilmoraGo

FilmoraGo is a simple video editing tool offering all the basic editing features like, themes, trimming, cropping, speed control, audio mixer etc. The tool also has an AI image generator and AI Copilot as an assistant.

The tool is comparatively easier to use on both desktops and smartphones. Although you can use some of the features for free, you have to pay $29.99 quarterly to gain access to all features.

Which one to choose?

If you cannot afford the paid versions and only want basic editing features and tools to edit videos for social media, iMovie, Canva and CapCut are good options. But it is still up to you to choose which one suits you the best as per your requirement and hardware.

As for the paid options, if you are looking for professional-level software to edit high quality and lengthy videos, consider CapCut Pro, Adobe Premiere Pro and FinalCut Pro. For short length videos, like those uploaded to Youtube, you may consider the rest in the paid version list.

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by Ehtasham Ahmad via Digital Information World

AI Adoption Reshapes Expectations for Future Job Markets Worldwide

Ever since the release of AI, a lot of people are using AI for different purposes. AI is helping people a lot in their tasks by providing them quick solutions in a short time and many organisations are also adopting AI for workplaces. Amidst all of this, there are also a lot of workers who are worried that AI is going to replace them, and they will become jobless. Ipsos conducted a survey in 33 countries to find out how citizens of each country feel about the adoption of AI, and whether they feel that AI will take away their jobs or create even more jobs.

The survey found that people in China think that AI is going to create more jobs in the country. 77% respondents from China think that it is likely that AI will create new jobs in the future, while 20% say that it is unlikely. The reason why Chinese are so optimistic about AI adoption is because of government initiatives and exponential growth in the AI sector, which is also leading to AI based academic research. The second country with the most optimistic approach towards AI is Indonesia, with 74% of the respondents saying that AI will create a lot of jobs and 23% think that it is unlikely. Thailand is the third top country saying that AI will create more jobs in the country with 71% thinking that it is likely and 24% saying that it is unlikely.

If we look at the top ten countries with the most optimistic approach towards AI, none of European countries are present. It is because people from European countries do not think that AI will have any positive impact on the labor market. People from Poland, Germany and Hungary are the least optimistic about AI creating jobs in their countries. If we look at the data overall, 43% of the people from countries surveyed think it is likely that AI will create jobs on average, while 46% on average think that it is unlikely that AI is going to create more jobs.

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by Arooj Ahmed via Digital Information World

No Wi-Fi, No Worries: Uncovering the World's Best Digital Detox Locations

Holafly, an eSIM provider, made a list of the top ten destinations people can go for a digital detox. The list was made after considering factors like average internet speeds, national parks, internet users and average number of cell towers in different countries. According to that study, Egypt is the best country if you are considering doing a digital detox. It has a score of 71.04 out of 100 on the digital detox index, and it is the best place to go off the grid and stop using digital devices for some days.

The second-best country for digital detoxing is Uzbekistan, with a digital detox index of 69.75. There are 50.47% internet users in Uzbekistan, and it is best when you want to escape technology and travel in nature a bit. It is followed by Nigeria, which has a digital detox score of 61.79, and you can go to places like hot springs at Yankari National Park or Obudu Mountain Resort to take your mind off the digital world. With a digital detox score of 59.41, South Africa is the third-best country where you can experience local culture as well as explore beaches.

Indonesia also offers you disconnect from the digital world with no Wi-Fi and talking, as it has a digital detox score of 50.50. 77.59% of the population in Indonesia uses the internet, but there are still many areas where you can be free of any digital devices. Brazil is in sixth place as the country best for digital detox, followed by India as seventh. Brazil has a detox score of 49.22, while India has 49.06 on the digital detox index.

Poland is the first European and eighth overall country for digital detox, even though 90.58% of its population is connected online. It's just that the country offers several opportunities for people who want to do a digital detox in the form of lakes, parks, and mountains. The Netherlands scored 47.47 on the digital detox index, making it the ninth-best country for digital detox. At tenth place is Mexico, a North American country, with a 46.00 digital detox score, and it has several beaches, mountains, and jungle retreats to escape this digital world.

Commenting on the study, a spokesperson from Holafly said:

"Digital detox vacations provide a much-needed escape for those looking to disconnect from the constant demands of the digital world. As we face modern challenges where screens dominate our daily lives, these trips offer a chance to step away from technology and be fully present in the moment. However, it’s important to have a safety net, as unexpected situations can arise." Adding further, "Peace comes not from the places we visit but from the freedom we find when we unplug and embrace the moment. From remote deserts and serene beaches to deep forests and mountain hideaways, these destinations provide a rare opportunity to step away from the online world and reconnect with nature, culture, and oneself, offering a sanctuary for peace of mind."

Methodology:
The index was compiled using 4 factors, each standardized on a 0-10 scale for accurate comparison. Factors with a negative impact were inverted. Weightings were assigned as follows: Total cell towers (25%), Terrestrial protected areas (% of land area) (25%), Average internet speed (Mbps) (25%), and % of internet users (25%). The final score was calculated out of 100 based on these weighted factors.

Sources: OpenCellID, World Bank, DataPandas, 2024 Depression Study (PMC).

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by Arooj Ahmed via Digital Information World

AI Disrupts SaaS Growth: 39% of Mid-Sized Software Firms Struggle to Keep Up in 2024

According to a new report by consulting firm AlixPartners, more than 100 mid-sized software companies are feeling the pressure of AI, as generative AI is challenging the traditional SaaS model and changing the world of enterprise software. These companies are stuck between AI-startups, which can build similar tools more quickly and cheaply, and tech giants like Salesforce and Microsoft, investing a lot in AI. The report warns that many of the mid-sized software companies are going to struggle for their survival in the next two years.

Most of the AI used for enterprise software includes tools like Zendesk’s Answer Bot and CoPilot, but AlixPartners reports that it's just a start, and generative AI for software is going to evolve more in the coming years. AI models are also becoming the apps themselves in addition to helping within the apps and are being used for a number of reasons, like analyzing reports, scheduling meetings, and writing code. There aren't even any complex interfaces needed to handle these AI systems because they are able to work with different types of data without any heavy preparation.

AlixPartners looked at 122 public enterprise software companies with less than $10 billion in yearly revenue and found that their growth is slowing down. In 2023, 53% of the companies analyzed were said to be growing fast, but this dropped to 39% of companies in 2024 and is expected to fall to 27% this year. Customer loyalty is also weakening, with net-dollar retention rate declining to 108% in Q3 2023 from 120% in 2021. Many big tech companies are also trying to squeeze AI into their existing products, which is replacing these software enterprises with AI.

Traditional SaaS models also rely heavily on structured data workflows, user interface, and seat-based pricing, but AI agents do not need all of that, and that's why they are challenging the foundations of SaaS models. Companies like ServiceNow and Salesforce are now charging result-based pricing instead of charging per user. There is also pressure on profit margins because AI agents are costly to run, and many companies are focusing more on profits instead of growth through streamlining product lines, prioritizing AI as a growth area, cutting costs, and shifting their infrastructure strategies.

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by Arooj Ahmed via Digital Information World

Cybercrime Losses Reach $16.6B in 2024, Seniors Lose $4.8B, FBI Gets 860K Complaints, Crypto Tops $9.3B

According to the Federal Bureau of Investigation (FBI), $16.6 billion has been lost in cybercrimes in 2024, which is a 33% increase from 2023 when $12.5 billion were lost in cybercrimes. On the other hand, the cybercrime complaints on the FBI’s Internet Crime Complaint Center have dropped in 2024, and it received 860,000 complaints in the last year. The report by the FBI also found that the most affected group by these cybercrimes is people above 60 years of age.

The highest number of complaints (147,000) was filed by people above 60, and $4.8 billion was lost. This amounts to a loss of $32,600 per person, which is higher than the overall loss of $19,300 per complaint. These findings are alarming because the FBI has taken more serious measures to control cyber crimes in 2024 and also targeted major threats like LockBit. Other major cybercrime threats targeted by the FBI were illicit online markets and botnets, scam call centers, and laundering rings, and it also arrested hundreds of cybercriminals involved.

• Also read: Creator Economy Evolves: 59% Now Identify as Entrepreneurs, Surpassing Social Media Reliance

Even with this much action, the FBI received the most complaints (193,000) about spoofing and phishing. It was followed by 86,000 complaints about extortion, 65,000 complaints about data breaches, 50,000 complaints about non-payment scams, and 48,000 by investment scams. The biggest losses from these complaints were caused by investment scams through which victims lost $6.56 billion, while $9.3 billion losses involved cryptocurrency.

The cybercrime which the second most brunt in losses was Business Email Compromise (BEC) scams, which caused $2.9 billion in losses with 21,489 complaints, which equals to loss of $135,000 per complaint. Even though ransomware is also getting common, there were only 3,156 reported cases of it, with losses of $12.5 million. Some other big losses came through personal data breaches, tech support scams, government impersonation scams, and romance scams.

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by Arooj Ahmed via Digital Information World

Creator Economy Evolves: 59% Now Identify as Entrepreneurs, Surpassing Social Media Reliance

According to a new report by Kajabi titled State of Creator Commerce, there is a major change in the creator economy, and creators are also trying to start their own businesses alongside their social media. Social media is becoming more and more unstable because of a potential TikTok ban, a decrease in payouts, and constantly changing algorithms, so creators are looking for more controlled and stable ownership over their content and are seeking financial independence. In 2025, creators are becoming entrepreneurs, with 59% of the content creators identifying themselves as such, and it's a 16% increase from last year.

These Entrepreneurial Creators are using social media to build their audience and invest in their own platforms through coaching, memberships, newsletters, and digital products. TikTok’s disappearance in January 2025 was the biggest turning point for many content creators turning into entrepreneurs, because they cannot risk relying on a single platform. Entrepreneurial Creators are earning 25% more than creators who are relying on social media platforms only, and are choosing ownership over instability.

This shift from being creators over social media platforms to being entrepreneurs isn't only boosting the earnings of creators but is also improving their lives. Entrepreneurial Creators reported having better personal and professional outcomes than Social-First Creators. 58% of Entrepreneurial Creators reported having more control over their content as compared to 36% of Social-First Creators. Similarly, 49% of Entrepreneurial Creators, as compared to 28% of Social-First Creators, enjoy more creative freedom, while 42% also reported having a stronger work-life balance as compared to 28% of Social-First Creators.

Creator economy is evolving at a rapid speed, and now it's an era to choose ownership over algorithms. 55% of the Entrepreneurial Creators say that it is important to have direct audience ownership. It is also important to have niche expertise, which can help monetize the content, and diversifying revenue streams can also help in stabilizing the income.

Image: DIW-Aigen

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by Arooj Ahmed via Digital Information World

Tariffs Threaten PC Demand but Apple’s Momentum Shows No Signs of Slowing

According to Counterpoint report, Apple is leading the global PC shipment growth with a 17% rise, while the overall global PC shipment has risen 7% in Q1 2025. However, the future of the market looks uncertain, especially with the current tariffs, which are stopping many potential buyers in the Q1 from buying PCs. Now, the future depends on how OEMs are going to spread their supply chains. The thing to note is that Apple’s share of global PC shipments increased from 9% in 2024 to 10% in 2025, with 57.5 million PCs shipped in Q1 2024 to 61.4 million in Q1 2025.

Before the tariff rush, there were also some other PC makers that saw growth. 11% growth was seen by Lenovo, after Apple’s 17% growth. Other companies that saw a rise in global PC shipments in Q1 2025 were Asus (9%), HP (6%), and Dell (4%). Overall, the leading PC maker in 2024 was Lenovo, with 25% of market share, followed by HP (21%) and Dell (16%). One of the biggest issues many PC makers are experiencing is that a lot of PCs are manufactured in China, which is the country facing the most US tariff threats.

Apple has also announced a $500 billion investment that it is going to open a 250,000 square foot facility in Houston, which will have servers for Apple Intelligence over the next four years. Many of the US assembled machines also import many parts like GPUs, CPUs, and motherboards, and shifting production to other countries isn't an option as well either. These uncertainties about tariffs can make new devices even more costly which will discourage purchases and slow down growth.

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Government Data Networks Evolve into Stealth Surveillance Engine

A whistleblower at the National Labor Relations Board reported an unusual spike in potentially sensitive data flowing out of the agency’s network in early March 2025 when staffers from the Department of Government Efficiency, which goes by DOGE, were granted access to the agency’s databases. On April 7, the Department of Homeland Security gained access to Internal Revenue Service tax data.

These seemingly unrelated events are examples of recent developments in the transformation of the structure and purpose of federal government data repositories. I am a researcher who studies the intersection of migration, data governance and digital technologies. I’m tracking how data that people provide to U.S. government agencies for public services such as tax filing, health care enrollment, unemployment assistance and education support is increasingly being redirected toward surveillance and law enforcement.

Image: DIW-AIgen

Originally collected to facilitate health care, eligibility for services and the administration of public services, this information is now shared across government agencies and with private companies, reshaping the infrastructure of public services into a mechanism of control. Once confined to separate bureaucracies, data now flows freely through a network of interagency agreements, outsourcing contracts and commercial partnerships built up in recent decades.

These data-sharing arrangements often take place outside public scrutiny, driven by national security justifications , fraud prevention initiatives and digital modernization efforts . The result is that the structure of government is quietly transforming into an integrated surveillance apparatus, capable of monitoring, predicting and flagging behavior at an unprecedented scale.

Executive orders signed by President Donald Trump aim to remove remaining institutional and legal barriers to completing this massive surveillance system.

DOGE and the private sector

Central to this transformation is DOGE, which is tasked via an executive order to “promote inter-operability between agency networks and systems, ensure data integrity, and facilitate responsible data collection and synchronization.” An additional executive order calls for the federal government to eliminate its information silos.

Understand how AI is c

By building interoperable systems, DOGE can enable real-time, cross-agency access to sensitive information and create a centralized database on people within the U.S . These developments are framed as administrative streamlining but lay the groundwork for mass surveillance.

Key to this data repurposing are public-private partnerships. The DHS and other agencies have turned to third-party contractors and data brokers to bypass direct restrictions. These intermediaries also consolidate data from social media, utility companies, supermarkets and many other sources , enabling enforcement agencies to construct detailed digital profiles of people without explicit consent or judicial oversight.

Palantir, a private data firm and prominent federal contractor, supplies investigative platforms to agencies such as Immigration and Customs Enforcement , the Department of Defense , the Centers for Disease Control and Prevention and the Internal Revenue Service . These platforms aggregate data from various sources – driver’s license photos , social services , financial information , educational data – and present it in centralized dashboards designed for predictive policing and algorithmic profiling. These tools extend government reach in ways that challenge existing norms of privacy and consent.

The role of AI

Artificial intelligence has further accelerated this shift.

Predictive algorithms now scan vast amounts of data to generate risk scores, detect anomalies and flag potential threats.

These systems ingest data from school enrollment records, housing applications, utility usage and even social media, all made available through contracts with data brokers and tech companies . Because these systems rely on machine learning, their inner workings are often proprietary, unexplainable and beyond meaningful public accountability.

Data privacy researcher Justin Sherman explains the astonishing amount of information data brokers have about you.

Sometimes the results are inaccurate, generated by AI hallucinations – responses AI systems produce that sound convincing but are incorrect, made up or irrelevant . Minor data discrepancies can lead to major consequences: job loss, denial of benefits and wrongful targeting in law enforcement operations. Once flagged, individuals rarely have a clear pathway to contest the system’s conclusions.

Digital profiling

Participation in civic life, applying for a loan, seeking disaster relief and requesting student aid now contribute to a person’s digital footprint. Government entities could later interpret that data in ways that allow them to deny access to assistance. Data collected under the banner of care could be mined for evidence to justify placing someone under surveillance. And with growing dependence on private contractors, the boundaries between public governance and corporate surveillance continue to erode.

Artificial intelligence , facial recognition systems and predictive profiling systems lack oversight . They also disproportionately affect low-income individuals, immigrants and people of color , who are more frequently flagged as risks .

Initially built for benefits verification or crisis response, these data systems now feed into broader surveillance networks. The implications are profound. What began as a system targeting noncitizens and fraud suspects could easily be generalized to everyone in the country.

Eyes on everyone

This is not merely a question of data privacy. It is a broader transformation in the logic of governance. Systems once designed for administration have become tools for tracking and predicting people’s behavior. In this new paradigm, oversight is sparse and accountability is minimal.

AI allows for the interpretation of behavioral patterns at scale without direct interrogation or verification. Inferences replace facts. Correlations replace testimony.

The risk extends to everyone. While these technologies are often first deployed at the margins of society – against migrants, welfare recipients or those deemed “high risk” – there’s little to limit their scope. As the infrastructure expands, so does its reach into the lives of all citizens.

With every form submitted, interaction logged and device used, a digital profile deepens, often out of sight. The infrastructure for pervasive surveillance is in place. What remains uncertain is how far it will be allowed to go.

Written by: Nicole M. Bennett Ph.D. Candidate in Geography and Assistant Director at the Center for Refugee Studies, Indiana University. Disclosure statement: Nicole Bennett is affiliated with Indiana University's Center for Refugee Studies and the Indiana University Refugee Task Force.

This article first appeared in The Conversation under a Creative Commons license. 

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