Thursday, September 3, 2026

US GenAI Chatbot Growth Slows Throughout 2026 as Meta AI Overtakes Gemini and Engagement Deepens

By Adam Blacker, Apptopia

Meta AI passed Google Gemini to become the second largest consumer chatbot app in the US, 17.7% against 17.2%. It got there by adding users in a month when most of the category lost them. Its average time per user increased but still sits far below the other players, as we discussed last month. Meta AI’s churn rate increased substantially, now sitting at 53.0%. I’ll state the obvious in that this is about the mobile apps, meaning Google Gemini can be accessed by people in a number of ways outside of the mobile app. It is not my position that the Google Gemini product has more users than the Meta AI product.

Microsoft spent August folding its consumer Copilot app into its enterprise one. Consumer Copilot had already lost 84% of its US daily active users between March and July, falling from 1.1 million to 181k. Removing Copilot from the equation, the rest of the category fell 3.4% in August, a third consecutive monthly decline and 13.9% off the May peak.


Although Kimi briefly passed Grok, DeepSeek, Perplexity, and Copilot in daily downloads last month, its numbers have dwindled back to irrelevance for this monthly snapshot.

Is There An AI Chatbot Backlash?

The data center fight has been the loudest AI story of the summer. Gallup found 71% of Americans oppose a data center in their area, worse than nuclear power. Pew put the share of adults more concerned than excited about AI at 52%, up from 37% in 2021. CNBC reported, citing people familiar with the filing, that Anthropic’s forthcoming S-1 will name public antipathy toward its product and the data centers behind it as a risk factor.

So has any of that reached the apps?

August downloads of the top eight chatbots in the US are down 28.3% off their March high, but did gain 1.4% from July to August. Outside of this small M/M gain, downloads had fallen pretty hard since May. Aggregate DAUs still fell 3.9% from July to August.


The market is still growing, just more slowly every month. There are either plenty of Americans not incensed by AI or plenty of Americans who believe in the anti-AI cause but realize they will fall behind without it. Likely a combination of the two. Even with slowing growth, engagement is deepening. Excluding Grok, time spent per user grew 6.8% M/M in August for the grouping. Grok fell 13.5%.

Claude Heading Into The S-1

Claude spent the first half of 2026 doing something that almost never happens in a category with an entrenched leader. It went from 1.3% of US daily active users in December to 16.6% in July. I even wrote in November 2025 that Claude’s hopes of being a mass consumer product could be over. Well, this magical run is over (for now).

Claude’s daily users fell 7.0% in August, 12.4% below its June peak. Share slipped to 14.4%. Downloads fell 10.9% to 3.2 million, 57% off the March high. Anthropic filed its confidential draft S-1 on June 1, meaning the continued decline will not show up when it eventually lands in front of investors.


Time spent per user of its most engaged users crawled back to where it was in January, but still sitting below its March high. Power Users represent the top 10% of users by time spent.

Grok 4.6 Brings New Users

xAI shipped Grok 4.6 on August 12, pitched at long-running agents and interactive work. US downloads jumped 16.6% M/M to 1.9M, Grok’s first up month since January. DAU rose 1.9%, its first monthly increase since February. Still, the average time spent by Power Users dropped for its third consecutive month. Grok’s Power Users continue to spend more time in-app than those of Claude, ChatGPT, Perplexity and Meta AI.


In July, I wrote about Grok users increasingly trialing other GenAI chatbot apps. I wanted to see if Grok 4.6 would trigger any ChatGPT or Claude users to check Grok out. ChatGPT users are not caring but we did see a tick up in Claude users opening up Grok. Still, it’s cross app overlap remains below where it was earlier in July.

Reviewed by Irfan Ahmad.

Read next: 45% of Popular Mobile Apps Collect Browsing History, Including Social Media, Shopping, Messaging and AI Apps
by External Contributor via Digital Information World

In Texas, ordinary Muslim religious practices are increasingly being treated as political threats

By Asma Uddin, Michigan State University

In Texas, ordinary Muslim religious practices are increasingly being treated as political threats
Image: Masjid Pogung Raya - Unsplash

Elected officials across Texas are increasingly treating ordinary Muslim religious practice – prayer, dress, marriage counseling, even mosques themselves – as evidence of a political threat and saying so openly.

“I won’t rest until every Muslim is gone,” Bo French, the Republican nominee for Texas railroad commissioner, wrote on social media in June 2026. Since late 2025, Texas officials have investigated plans for a Muslim-friendly housing development outside Dallas, as well as a small Dallas organization that offers religious divorce counseling. Gov. Greg Abbott also designated the Council on American-Islamic Relations, the country’s largest Muslim civil rights group, a foreign terrorist organization under Texas law.

In May 2026 Abbott threatened to pull US$530,000 in state funding from Grand Prairie unless the city canceled a private Eid celebration at a water park. He also threatened to withhold funding from Dallas Fort Worth International Airport unless it dropped plans for ablution stations, the washing facilities Muslims use before prayer.

State Rep. Alan Schoolcraft, a Republican helping lead the “Sharia Free Texas Caucus,” has framed the distinction explicitly. He told the Houston Chronicle that his concern “has nothing to do with faith, with religion,” but rather with “cultural differences, refusing to assimilate, and trying to establish a parallel culture.”

He has also said lawmakers intend to try to define what qualifies as a religion, arguing that Islam is “much more than a religion.” He has not explained where the line between Islam as religion and Islam as culture or politics would fall, or which Muslim practices would lose the protections ordinarily afforded to religious exercise.

That effort arrives as the country marks 25 years since the terrorist attacks of Sept. 11, 2001. Suspicion of Islam in American politics predates that day, but 9/11 hardened it into something durable: an assumption that Muslims themselves are dangerous.

I am a law professor who teaches constitutional law and the First Amendment, and my work focuses on religious liberty. My 2019 book, “When Islam Is Not a Religion,” examined this phenomenon years ago: Many American politicians recast ordinary Muslim religious practices as political or threatening.

Religious law as a rival legal system

One common target is sharia, which critics often describe as a competing legal system poised to displace American law. In reality, sharia is a broad set of religious and ethical principles, not a fixed legal code. As law professor Asifa Quraishi-Landes has explained, Muslims distinguish sharia itself, God’s way, from “fiqh,” the human interpretation of that way into specific rules. Observant Muslims can disagree about what sharia requires, the way Christians differ over what their faith requires day to day, or Orthodox Jews over what keeping kosher demands in a given kitchen.

Texas politicians, however, portray sharia as a threat to American law. That suspicion has now produced official action against the Islamic Tribunal, a Dallas-based organization that offers religious arbitration, a process where parties voluntarily agree to submit disputes to a religious panel, the way any two businesses might agree to skip court and use a private arbitrator instead. Much of the tribunal’s caseload is Muslim women seeking religious divorces, including from abusive marriages. American courts encounter this kind of religious arrangement constantly, and not only from Muslims.

The Beth Din of America, a rabbinical court in New York City, arbitrates disputes for observant Jews under Jewish law. The Montana-based Institute for Christian Conciliation provides a Christian counterpart, offering biblical mediation and arbitration in disputes ranging from church and employment conflicts to business contracts.

In each instance, once parties have agreed to arbitrate, a court may confirm and enforce the resulting arbitration award, subject to limited grounds for setting it aside. Texas law allows courts to reject an arbitration award when, for example, the process substantially prejudiced a party’s rights, involved fraud or arbitrator misconduct, or exceeded the arbitrator’s authority. None of these religious panels has the power to override American law.

In Texas, however, state officials have specifically targeted Islamic arbitration for scrutiny. In November 2025, Abbott called the tribunals “Shariah tribunals masquerading as legal courts,” and in April 2026 Texas Attorney General Ken Paxton opened an investigation accusing the Islamic Tribunal of falsely claiming its rulings had “the approval of the Texas Judicial system.” Texas courts do not approve or oversee the tribunal itself; they can, however, enforce valid arbitration awards, just as they can awards resulting from other forms of private arbitration. The investigation has produced no public finding.

The impulse to single out Islamic practices for special legal scrutiny isn’t confined to arbitration. Beginning around 2010, lawmakers nationwide pushed measures barring state courts from applying sharia or “foreign law.” Oklahoma voters approved one, and a federal court blocked it: The state couldn’t identify a single case in which sharia had actually been applied.

‘Islam is not a religion’ claim

The same suspicion – that Islamic religious institutions are really political or legal institutions in disguise – has also shaped fights over mosques around the country.

The claim that Islam doesn’t really count as a religion surfaced early and explicitly in Murfreesboro, Tennessee. In 2010, opponents of the Islamic Center there argued it wasn’t entitled to First Amendment protection because Islam was a political ideology bent on “total world domination,” not a religion. The Justice Department filed a brief calling the claim “quite simply ridiculous.” The center opened in 2012; the Supreme Court declined to revisit the case in 2014.

When the East Plano Islamic Center proposed a 400-acre development north of Dallas anchored by a mosque, an Islamic school and homes marketed to Muslim families, the response wasn’t ordinary zoning review. Paxton began investigating the project in March 2025 and sued the developers in December, alleging violations of state securities law.

In February 2026 the U.S. Department of Housing and Urban Development opened a fair housing investigation alleging discrimination against non-Muslim buyers; the Justice Department opened its own civil rights inquiry and closed it in June 2025, after the developers affirmed the project would comply with the Fair Housing Act.

In Bernards Township, New Jersey, officials rejected a mosque application in 2015 after 39 hearings, and a federal complaint documented flyers invoking Sept. 11 and a mailbox defaced to read “ISIS.”

A church fighting a zoning board may hear objections about traffic, parking or property values. The distinguishing feature of these mosque controversies was the accusation attached to the religion itself: that Muslim worshippers were dangerous, disloyal or likely to become radicalized.

In Bayonne, New Jersey, a resident told the zoning board the mosque should be denied because worshippers would “become radicalized and kill people.” In Sterling Heights, Michigan, a speaker at a City Council meeting about a local mosque project argued the First Amendment “doesn’t apply to political ideologies,” because Islam is “a religion of hatred.”

Prayer, dress and ‘foreign’ practices

The same dynamic extends beyond institutions to the ordinary practices of Muslim religious life: Prayer, religious dress and other expressions of faith can be treated as foreign, political or threatening.

Observant Muslims pray five times daily, so students and employees sometimes need a space to pray – an accommodation that can be as simple as being excused briefly from class or work. Federal guidance for public schools expressly recognizes that a teacher may excuse a student from class to relieve a significant burden on religious exercise, giving Muslim students who need to pray during Ramadan as one example.

At Liberty High School in Frisco, Texas, Muslim students had used a spare classroom to pray without incident from 2009 to 2017, when Paxton’s office sent the district a letter questioning whether other students were being excluded. They weren’t. A district spokesman said the classroom was available to “students of all walks of life.”

The accommodation itself had not changed. What changed was the way it was perceived: A space that had quietly allowed students to meet their religious obligations for years was suddenly scrutinized as potentially giving Muslims special treatment.

Religion scholar Rose Aslan, in a 2024 book drawing on a national survey of 350 Muslims, finds a similar pattern: Americans often treat a private religious obligation as something foreign when Muslims practice it in shared public spaces – despite the fact that other religious communities routinely receive accommodations for practices such as confession or fasting on Yom Kippur.

Religious dress can trigger the same suspicion. Law professor Sahar Aziz has documented how, in the post-9/11 era, visible Muslim identity increasingly came to be associated with foreignness and political disloyalty. The hijab, as one of the most visible markers of Muslim faith, could therefore be treated not simply as religious dress but as evidence that a Muslim woman was aligned with a foreign power.

The pattern across arbitration, land use and everyday practice is the same: Ordinary religious practices can become evidence of danger, in some Americans’ eyes, when Muslims engage in them.The Conversation

Asma Uddin, Assistant Professor of Law, Michigan State University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Reviewed by Irfan Ahmad.

Read next: 

• Google’s AI overviews reinforce some conspiracy theories – new research

45% of Popular Mobile Apps Collect Browsing History, Including Social Media, Shopping, Messaging and AI Apps


by External Contributor via Digital Information World

Wednesday, September 2, 2026

Google’s AI overviews reinforce some conspiracy theories – new research

Kateryna Kasianenko, Queensland University of Technology; Ashwin Nagappa, Queensland University of Technology, and Caroline Gardam, Queensland University of Technology

Imagine overhearing on a bus that the city council plans to implement new restrictions under an urban planning program called “15-minute cities”. Curious, you search the term on Google.

It’s likely that at the top of the results page, an AI-generated text summarising the search results will appear. This text synthesises content from various webpages that answer specific search queries. They are increasingly appearing not only in Google, but also in other search engines, and users are now likely to stop reading the search results page beyond this AI-generated text.

But what if the AI-generated answer – the only search result users may see – confidently makes misleading or incorrect claims? Or reinforces conspiratorial ideas suggested by pro-conspiracy search terms?

Our new research, published in the journal Media International Australia, shows this is sometimes true of Google’s AI-generated overviews. It highlights that stronger guardrails are needed to tackle the spread of dangerous conspiracy theories.

Focusing on two conspiracies

We focused on two conspiracy theories: chemtrails and 15-minute cities.

“Chemtrails” is a conspiracy theory that has been around since the 1990s. Its believers mainly perceive the condensation trails left behind aircraft as large-scale weather or climate modification programs.

Researchers found 12.5% of analyzed 15-minute-city AI Overviews presented false claims as legitimate debate.
Image: Trac Vu - Unsplash

Researchers called out Google for giving visibility to conspiratorial beliefs around chemtrails back in 2015. In response, the company demoted problematic search results.

Conspiracy theories surrounding 15-minute cities are relatively younger. The term was originally coined to represent an efficient urban planning model. But for the conspiracist, these plans represent a nefarious elite, globalist agenda that seeks to monitor and control residents through technology.

Comparing search results

We developed search queries reflecting these conspiratorial beliefs and general ways of searching on the same topics (relying on open fora and Google Trends for query examples). We then collected data from the first page of Google search results for a week in January 2026.

We compared the AI overviews, the sources they link to, and the conventional lists of search results across the two conspiracy theories and two types of queries.

We found search queries that reflect conspiratorial beliefs fetched notably different AI summaries as compared to queries without pro-conspiracy words. This was especially true when the search query involved lesser-known narratives or incorporated words that could suggest the searcher believes in the conspiracy – for example, searching for “15 minute city segregation” as opposed to just “15-minute cities”.

The good news is that, for well-established cases, such as chemtrails, the AI overviews mention the conspiracy theory very rarely. Generally, for both topics, AI summaries for “conspiratorial” searches debunked conspiratorial beliefs.

The bad news is that such debunking is cursory. It often does not go beyond statements that conspiracy theories are “misinformation”. However, to stop these narratives from spreading, people seeking information about them need to be presented with factual and logical arguments debunking them.

Of concern, AI summaries for the less established “15-minute cities” case actively promoted conspiratorial beliefs, even while debunking the conspiracy theory in some instances. For this topic, 12.5% of AI overviews we analysed presented the false claims as one side in a legitimate debate. For example, in response to our query, “15 minute cities versus smart cities control”, the AI overview contained the following:

Overlap: A 15-minute city can be smart by using smart mobility and [Internet of Things] to manage its local resources efficiently, but a smart city doesn’t automatically become a 15-minute city. In essence, think of the 15-minute city as the “what” (livable design) and the smart city as a potential “how” (technology to enable it), but the control aspect is where critics focus their backlash, blurring the lines between convenience and surveillance.

The ranked lists of search results – a staple of Google search for years – are not foolproof either. Our simulation of “conspiratorial” searches returned links pointing to YouTube videos and Facebook posts promoting such beliefs.

The AI-generated snippets also tended to feature more commercial results. This is understandable – businesses rely on Google to connect them to customers. And if users do not read beyond AI overviews, it is beneficial for companies to be included as sources of such snippets.

However, this can sometimes promote conspiratorial beliefs. For example, one AI overview we analysed contained a source that linked to a book on sale on Amazon by a prominent conspiracy theorist.

A spokesperson for Google told The Conversation its AI overviews “operate like traditional search in that they aim to match content from the web to the words in your query”. They added:

We invest significantly in the quality of AI overviews and the vast majority provide accurate information. When issues arise – like if our features misinterpret web content or miss some context – we use those examples to improve our systems, and we take action as appropriate under our policies.

Tackling the spread of conspiracies

As a company connecting users to information in scenarios ranging from mundane to critical, Google has long denied it is a “publisher”. But as the search engine moves towards providing direct answers in AI-generated snippets or chats, it may become increasingly difficult to continue denying this role.

A court in Munich, Germany, recently found Google liable for false claims contained within its AI overviews – even though, as Google argued, users are warned about possible errors and can check the answers for themselves.

Search literacy is important and users are capable of considering the authority of sources, refining search queries, and comparing results across multiple search engines. Understanding how Google ranks its results and generates AI Overviews is a part of such literacy.

But this does not absolve the company (or any other search engine or chatbot operator) from the responsibility of establishing stronger guardrails to prevent the spread and legitimisation of conspiratorial beliefs.

The example of the more established conspiracy theory, “chemtrails”, demonstrates that Google has the capacity for such guardrails. They should be deployed across a broader range of topics, including more emergent beliefs.

Of course, what gets displayed on a search result page will never be perfect – and this is where stronger user literacy should come into play.The Conversation

Kateryna Kasianenko, Postdoctoral Research Fellow, Digital Media Research Centre, Queensland University of Technology; Ashwin Nagappa, Postdoctoral Research Fellow, ARC Centre of Excellence for Automated Decision-Making and Society, Queensland University of Technology, and Caroline Gardam, Researcher, Digital Media Research Centre, Queensland University of Technology

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Fact-checked by Irfan Ahmad.

Read next:

• Google's AI Search Has Struggled With One Religious Question for Years

• AI Is Doing More of Our Work — So Why Are We Busier?

• Price Ranks Among Top Purchase Criteria Across Several U.S. Consumer Technology Categories
by External Contributor via Digital Information World

Price Ranks Among Top Purchase Criteria Across Several U.S. Consumer Technology Categories

By Felix Richter, Statista

After years of elevated inflation, Americans have understandably become very price conscious, which is why it’s no surprise that the price plays a key role in their tech purchase decisions as well. According to Statista Consumer Insights, price is among the of the most important purchase criteria Americans consider when they’re looking to buy new devices, whether it’s smartphones, TVs or smart home products.

Among at least 14 different criteria included in the survey for each product category, price is among the top 2 for smart speakers, gaming hardware and smart home devices, among the top 5 for TVs and wearables and among the top 10 for smartphones and headphones. Across all categories, at least one third of respondents consider the price and important factor, highlighting that the latest surge in consumer technology prices will have a major impact on many people’s purchase decisions.

Price Plays a Key Role in U.S. Consumer Tech Purchases

Fact-Checked by Irfan Ahmad.

Read next: 

• AI Is Doing More of Our Work — So Why Are We Busier?

• The Hidden Value in Your Audio: What Speech to Text Unlocks
by External Contributor via Digital Information World

Tuesday, September 1, 2026

The Hidden Value in Your Audio: What Speech to Text Unlocks

A vast amount of valuable information is locked inside audio and video. Meetings, interviews, podcasts, webinars, calls, and voice notes all contain useful content, but in a form that is hard to search, quote, skim, or reuse. You cannot scan a recording the way you scan a page, and you cannot copy a sentence out of a conversation without listening for it first. Speech to text technology unlocks that trapped value by turning spoken audio into written text, and modern systems do it accurately enough that the resulting transcript is genuinely usable rather than a rough approximation.

Image: Ana Achim - Unsplash

Why Audio Is Hard to Work With

Audio and video are excellent for capturing and communicating, but poor for retrieval and reuse. To find a particular point in a recording, you often have to listen through it. To reference something that was said, you have to transcribe it by hand. To repurpose spoken content into another format, you have to start from scratch. This friction means huge quantities of recorded material go underused, not because the content lacks value, but because the format makes that value hard to access.

The problem compounds as organisations and creators record more. Every meeting captured, every episode published, every interview conducted adds to a growing archive that is rich in content but almost impossible to navigate efficiently. Text, by contrast, is searchable, skimmable, quotable, and easy to transform. Converting audio into text is what bridges the gap between how content is captured and how it is actually used.

What Speech to Text Delivers

The core capability is straightforward: it listens to spoken audio and produces a written transcript of what was said. What has changed is the accuracy. Where older transcription produced error-riddled text that needed heavy correction, modern systems handle real-world audio, including different speakers and natural speech, well enough that the output is dependable. A speech to text system transcribes recordings into accurate written text, which turns a recording from something you have to listen through into something you can read, search, and work with directly.

That reliability is what makes the technology genuinely useful rather than a novelty. A transcript that is roughly right but full of errors creates almost as much work as it saves. A transcript that is accurate becomes a working document in its own right, one you can trust enough to publish, search, quote, and build on. The jump in quality is the reason speech to text has moved from a niche tool to a mainstream capability.

Where It Creates Value

The applications span almost anyone who works with recorded audio. Teams can transcribe meetings so decisions and action points are captured in a searchable record rather than lost in a recording no one revisits. Journalists and researchers can turn interviews into text they can quote and analyse. Podcasters and video creators can generate transcripts and captions that make their content accessible and discoverable. Businesses can convert calls and webinars into records they can reference and mine for insight.

There is a strong accessibility dimension too. Transcripts and captions make audio and video content available to people who are deaf or hard of hearing, and useful to anyone in a situation where they cannot listen. The World Wide Web Consortium's Web Accessibility Initiative sets out guidance on providing text alternatives such as captions and transcripts for multimedia, and speech to text is the practical means of meeting that standard at scale. Content that was previously accessible only by listening becomes available to a far wider audience once it exists as text.

Using It Effectively

Getting the most from speech to text involves a few sensible practices. Better source audio produces better transcripts, so clear recordings with minimal background noise give the strongest results. For critical uses such as published quotes or formal records, a quick human review catches the occasional error, particularly with specialised terminology or unclear passages. And thinking about what you want the text for, searchability, captions, repurposing, or record-keeping, helps you set up the workflow to serve that goal.

Once transcribed, the text opens up everything that written content allows. It can be searched to find a specific moment, quoted directly, summarised, translated, repurposed into articles or notes, or simply archived in a form that can actually be navigated. The recording stops being a sealed container and becomes an open, workable resource.

Turning Recordings Into Resources

The information captured in audio and video is only as valuable as your ability to access it, and in recorded form that access is limited. Speech to text removes the limit by converting spoken content into accurate written text, transforming recordings from things you have to listen through into resources you can search, read, quote, and reuse.

For anyone sitting on a growing archive of meetings, interviews, episodes, or calls, that is a significant unlock. The value was always there in the audio; speech to text is what finally makes it accessible. As recording continues to become effortless and ubiquitous, the ability to turn all that audio into usable text is what stops it from piling up unused, and starts turning it into something genuinely worth having.


by Sponsored Content via Digital Information World

AI Is Doing More of Our Work — So Why Are We Busier?

By Melissa Stephenson

As artificial intelligence (AI) began to gain traction in the working world, two schools of thought emerged about what it would mean for workers. On one end of the spectrum, AI optimists promised a land of leisure where hours saved would result in more free time disconnected from work. Their doomsday counterparts warned of a world of lost jobs and old-fashioned skills pushing employees to pivot.

Now that AI is doing more of the work people used to do themselves, we’re starting to see that the reality is somewhere in between. According to a recent survey from Solitaired, AI is indeed taking work off everyone’s plates, but rather than costing workers their jobs or giving them more time for themselves, many are using that time to work more.

To be sure, “working more” doesn’t mean that people are working longer hours. Instead, AI is making it possible to cram more work into a typical workday. And as AI ticks off certain tasks in the day, employees are still finding plenty of new work to fill the space. For some, expanding the job may also be part of staying relevant and valuable as AI changes what they’re needed for.

AI Is Expanding Our Jobs

According to Solitaired’s findings, 96% of workers are saving time with AI, and nearly half of them use that savings by taking on more work, but that doesn’t mean that they’re simply adding more of the same tasks to their day. Some workers see the opportunity, or perhaps some incentive, to expand what they can contribute.

For 40% of Solitaired’s respondents, more work means they get to perform deeper, more creative or strategic work, and more than a fifth are taking more meetings and responding to more messages with this extra time. There could be some self-preservation mixed in with that productivity. With 38% fearing that AI could take over their job, nearly a fifth (19%) of workers are making themselves more visible to leadership and taking on extra projects.

• Also read: I surveyed workers to see if AI had caused job losses and was surprised by the findings

Whether they heeded the warning about AI replacing workers or recognized how their jobs were changing, employees have a reason to highlight their worth beyond the tasks that AI can now handle. Taking on new responsibilities and contributing at higher levels reflects that AI may save them time but doesn’t diminish their value.

This can be a good thing for those who want to spend more time in the interesting parts of their job. But it also creates a new benchmark for how much they can reasonably handle in a typical workday. After workers demonstrate they have that extra capacity day in and day out, it’s hard to rein it back in.

Productivity gains increasingly become workplace expectations, leaving workers with faster days and heavier workloads.

AI Is Creating New Work, Too

While some promised that using AI would mean handing off a task for automation while workers dig into more interesting tasks, that’s not exactly the reality in today’s workplace. AI may handle some tasks, but it also creates others. After all, AI assistance means using AI with an emphasis on “assistance” because someone has to check to ensure that AI’s work is accurate and usable.

Nearly two-thirds (63%) of the workers Solitaired surveyed said they now spend time fact-checking AI output, while 61% review or edit its work. Another 45% spend time writing and rewriting prompts. These are completely new tasks that didn’t exist before AI. Instead of writing something from scratch for an hour or more, some of those minutes are used to check or edit or both what AI has written. So those same minutes are just redistributed to tasks that check and adjust AI output. In fact, 29% told Solitaired that their job now feels more like managing AI than doing the work themselves.

Interestingly, that underscores how neither version of an AI workplace accurately predicted the reality, with the truth somewhere in the middle. Employees weren’t replaced by AI, and the work hasn’t completely disappeared into an automated abyss. Instead, employees are seeing their roles shifted from producing work themselves to checking the technology that now produces a large share of it.

And their jobs continue to change as the technology does. Over half (51%) report to Solitaired that they learn new AI tools, which just adds another task to a workday that was supposed to get shorter.

None of this erases the time that AI is saving employees, but it does highlight how every hour automated doesn’t translate into an hour saved and returned to the worker. Some of that time becomes the cost of using AI effectively.

AI creates new work as employees fact-check, edit, prompt, and manage its outputs.

Today’s Productivity Becomes Tomorrow’s Baseline

As the intensity of their output has increased, workers have felt it in the tempo of the day. Sixty percent note that the workday feels faster with the arrival of AI, and 2 in 5 say they face greater output expectations.

The trouble is that productivity gains have a way of becoming the new baseline. For example, if a worker previously completed five projects in a day but can complete seven with the help of AI, those two extra projects start to look less like extra and more like expected as the weeks wear on.

That puts employees in an awkward position when deciding how transparent to be about the time AI saves them. If finishing extra projects just means new ones land on the desk, there’s little incentive to advertise new efficiencies. In fact, 2 in 5 workers told Solitaired that they hide their time savings from their employers.

There’s a financial disconnect as well. Despite producing more, 65% say they’re not making more money as a result. For many workers, that means the benefits of greater productivity aren’t necessarily showing up in their paychecks or in more free time. Instead, they’re showing up in the amount of work that can fit into a day.

The shift for employees is real. They’re still competing with technology in the workplace, but rather than competing for their jobs, they’re competing to reclaim that time savings they were promised. AI has delivered on saving time, but saving time and giving it back to workers are two different things. Employees have gotten very good at using AI to create more hours in the workday. The problem is, they keep filling them back up.

Reviewed by Irfan Ahmad.

Read next:

Offloading work tasks to AI comes with a cost – to our brains

• Workers Shift Tasks to AI, Report More Time Savings, and Use 66% of AI Outputs With Minimal Revisions
by Guest Contributor via Digital Information World

Consumer spy detectors often miss hidden devices and can be difficult for users to operate and interpret

By University College London

Consumer detectors sold to help people find hidden surveillance devices are often too difficult for typical users to interpret, finds a new study led by UCL researchers.

This may potentially give a false sense of security to those most at risk such as domestic abuse survivors.

Spy device detectors fail users most reliant on them
Image: Mario Heller - Unsplash

The study, presented at the USENIX Symposium on Usable Privacy and Security (SOUPS), evaluated 19 widely available detectors using participants from a range of backgrounds to search for surveillance devices hidden in mock living rooms. The participants found the detectors were often difficult to operate and hard to interpret. As a result, they missed finding nearly 60% of hidden surveillance devices – only a slight improvement over participants using just their own eyes to search.

Commercial surveillance devices

In recent years, a growing range of disguised surveillance devices has become commercially available through manufacturers and mainstream online marketplaces, with few restrictions on their sale. These include cameras, microphones, and GPS trackers concealed within everyday items such as clocks, USB chargers, smoke alarms, picture frames, and plush toys.

Although these devices are often marketed for personal security or other types of home protection, they can be misused by malicious individuals. This often includes domestic abusers who use them to secretly spy on intimate partners, a form of technology-facilitated abuse often linked to coercive control, financial abuse, and physical violence.

This has fuelled a parallel market of consumer detectors that claim to identify hidden surveillance equipment. However, many of these products present users with signal-strength readings, technical terminology, and radio-frequency measurements that requires specialist knowledge to understand, making them difficult for typical consumers to interpret correctly.

To assess their real-world effectiveness, the researchers had 34 participants search for hidden surveillance devices in simulated living rooms containing furniture, home electronics and other common household items. They found that the detectors offered only a modest improvement: participants using a detector still missed 58.8% of the surveillance devices, compared with 66.7% when searching without one.

However, one category of tools performed substantially better than the rest. Smartphone apps designed to detect Bluetooth trackers, including Apple AirTags, missed only 27.6% of devices and produced no false positives. Rather than simply detecting wireless signals, these apps presented users with recognisable devices they could investigate, helping them understand what had been detected, verify whether it was suspicious, and decide what to do next. While Bluetooth trackers represent only one method of hidden surveillance, they are one of the most commonly used by abusers.

Lead author Akhil Polamarasetty, a Ph.D student at the UCL Centre for Doctoral Training in Cybersecurity, part of UCL Computer Science, said: “Searching for hidden surveillance devices is challenging both technically and emotionally. Most of the detectors on the market are not designed with the typical consumer in mind. Many people do not necessarily understand the limitations of such detectors and risk misinterpreting the results. Our research found that the difference between the best-performing tools and the rest of the market wasn’t simply their ability to detect signals—it was whether they helped people understand what those signals actually meant. So the crucial difference is usability. If products are intended to improve people’s safety, they need to be designed around what a typical user actually needs.”

The emotional cost of confusing tools

The researchers found that poorly designed detectors carried emotional as well as practical consequences. For survivors of domestic abuse, who often already live with heightened vigilance and self-doubt, missed surveillance devices can leave them at continued risk, while false positives may trigger unnecessary anxiety.

When a detector incorrectly flagged an ordinary object as suspicious, participants sometimes became trapped in anxiety spirals, repeatedly searching the same area without finding an explanation. Conversely, when a detector failed to identify a genuine surveillance device, participants often assumed a room was safe when it was not, creating a potentially dangerous false sense of security.

Drawing on these findings, the researchers developed a new framework for evaluating hidden-device detectors that includes their usability, interpretability, verification support and emotional safety in addition to their technical detection accuracy.

They also proposed recommendations for manufacturers, including providing clearer guidance, presenting detected devices in ways users can understand, communicating uncertainty more effectively, supporting verification rather than simply detection, and considering the emotional impact of product design.

However, the researchers added that even with their recommendations, no detector would likely ever be perfect. They emphasised that the only way to prevent this kind of technology-facilitated abuse is to stop the sale of hidden spy devices entirely.

Senior author Dr Leonie Tanczer (UCL Computer Science) said: “Most technology is dual-use, and companies have a responsibility to think about how their products can be misused at the design stage rather than after the harms emerge.

“At the same time, we also need greater scrutiny of the growing market for covert surveillance devices themselves. Many of the miniature surveillance devices we examined are sold as ordinary consumer security products, yet their defining feature is concealment, because the only reason to build a camera into a USB charger or a digital clock is so that nobody knows it is there. The people most at risk are paying the cost of a market that continues to normalise products designed for covert surveillance.”

Fact-Checked by Irfan Ahmad.

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by External Contributor via Digital Information World