Here are some of the the major AI trends shaping 2026 — based on current expert forecasts, industry reports, and recent developments in technology. The material is analyzed using AI tools and final version hand-edited to this blog text:
1. Generative AI Continues to Mature
Generative AI (text, image, video, code) will become more advanced and mainstream, with notable growth in:
* Generative video creation
* Gaming and entertainment content generation
* Advanced synthetic data for simulations and analytics
This trend will bring new creative possibilities — and intensify debates around authenticity and copyright.
2. AI Agents Move From Tools to Autonomous Workers
Rather than just answering questions or generating content, AI systems will increasingly act autonomously, performing complex, multi-step workflows and interacting with apps and processes on behalf of users — a shift sometimes called agentic AI. These agents will become part of enterprise operations, not just assistant features.
3. Smaller, Efficient & Domain-Specific Models
Instead of “bigger is always better,” specialized AI models tailored to specific industries (healthcare, finance, legal, telecom, manufacturing) will start to dominate in many enterprise applications. These models are more accurate, legally compliant, and cost-efficient than general models.
4. AI Embedded Everywhere
AI won’t be an add-on feature — it will be built into everyday software and devices:
* Office apps with intelligent drafting, summarization, and task insights
* Operating systems with native AI
* Edge devices processing AI tasks locally
This makes AI pervasive in both work and consumer contexts.
5. AI Infrastructure Evolves: Inference & Efficiency Focus
More investment is going into inference infrastructure — the real-time decision-making step where models run in production — thereby optimizing costs, latency, and scalability. Enterprises are also consolidating AI stacks for better governance and compliance.
6. AI in Healthcare, Research, and Sustainability
AI is spreading beyond diagnostics into treatment planning, global health access, environmental modeling, and scientific discovery. These applications could help address personnel shortages and speed up research breakthroughs.
7. Security, Ethics & Governance Become Critical
With AI handling more sensitive tasks, organizations will prioritize:
* Ethical use frameworks
* Governance policies
* AI risk management
This trend reflects broader concerns about trust, compliance, and responsible deployment.
8. Multimodal AI Goes Mainstream
AI systems that understand and generate across text, images, audio, and video will grow rapidly, enabling richer interactions and more powerful applications in search, creative work, and interfaces.
9. On-Device and Edge AI Growth
10. New Roles: AI Manager & Human-Agent Collaboration
Instead of replacing humans, AI will shift job roles:
* People will manage, supervise, and orchestrate AI agents
* Human expertise will focus on strategy, oversight, and creative judgment
This human-in-the-loop model becomes the norm.
Sources:
[1]: https://www.brilworks.com/blog/ai-trends-2026/?utm_source=chatgpt.com “7 AI Trends to Look for in 2026″
[2]: https://www.forbes.com/sites/bernardmarr/2025/10/13/10-generative-ai-trends-in-2026-that-will-transform-work-and-life/?utm_source=chatgpt.com “10 Generative AI Trends In 2026 That Will Transform Work And Life”
[3]: https://millipixels.com/blog/ai-trends-2026?utm_source=chatgpt.com “AI Trends 2026: The Key Enterprise Shifts You Must Know | Millipixels”
[4]: https://www.digitalregenesys.com/blog/top-10-ai-trends-for-2026?utm_source=chatgpt.com “Digital Regenesys | Top 10 AI Trends for 2026″
[5]: https://www.n-ix.com/ai-trends/?utm_source=chatgpt.com “7 AI trends to watch in 2026 – N-iX”
[6]: https://news.microsoft.com/source/asia/2025/12/11/microsoft-unveils-7-ai-trends-for-2026/?utm_source=chatgpt.com “Microsoft unveils 7 AI trends for 2026 – Source Asia”
[7]: https://www.risingtrends.co/blog/generative-ai-trends-2026?utm_source=chatgpt.com “7 Generative AI Trends to Watch In 2026″
[8]: https://www.fool.com/investing/2025/12/24/artificial-intelligence-ai-trends-to-watch-in-2026/?utm_source=chatgpt.com “3 Artificial Intelligence (AI) Trends to Watch in 2026 and How to Invest in Them | The Motley Fool”
[9]: https://www.reddit.com//r/AI_Agents/comments/1q3ka8o/i_read_google_clouds_ai_agent_trends_2026_report/?utm_source=chatgpt.com “I read Google Cloud’s “AI Agent Trends 2026” report, here are 10 takeaways that actually matter”
3,933 Comments
Tomi Engdahl says:
Cooling new data centers with closed loop cooling systems will cut the data center water use 99% or more compared to previous open loop cooling.
There are many ways to cut the water use and co2 in electrical power generation. Get rid of fossil fuels for electricity generation.
For chip manufacturing water use I have no ready answer, maybe more water could be reused and recycled.
Tomi Engdahl says:
https://www.facebook.com/share/17NVaFn2kj/
Nvidia has long dominated because of its CUDA software. Now, AI-driven software is challenging this moat as startups and giants innovate.
#Nvidia #AI #software
AI is starting to rewrite the software that made Nvidia untouchable : https://mrf.lu/2ZDHk
Tomi Engdahl says:
https://www.facebook.com/share/p/1EarYSQmMd/
Elon Musk believes the next major challenge in the AI race won’t be building more powerful chips—it will be generating enough electricity to run them. As AI data centers expand at an unprecedented pace, their power demands are rising so quickly that energy infrastructure may struggle to keep up.
According to Musk, future AI progress will depend not only on advances in computing hardware but also on massive investments in electricity generation, power grids, and energy storage. Many industry leaders share the view that reliable, abundant energy will become just as critical as faster processors in powering the next generation of artificial intelligence.
Could the future of AI be determined more by power plants than by computer chips?
#ElonMusk #ArtificialIntelligence #AI #Electricity #DataCenters #Technology #Energy #Innovation #FutureTech #Cosmocurious
Tomi Engdahl says:
https://www.facebook.com/share/p/1JhMoVA4Zt/
A startup is proposing to move AI data centers into orbit, where they could rely on the cold vacuum of space for heat rejection instead of consuming massive amounts of freshwater for cooling. While the concept could reduce water use on Earth, it still faces major challenges, including launch costs, power generation, maintenance, and reliable high-speed communication.
Would you trust critical AI infrastructure in space if it meant using fewer Earth’s resources?
#AI #ArtificialIntelligence #SpaceTechnology #DataCenters #Innovation #FutureTech #Space #Science #Sustainability #Cosmocurious
Tomi Engdahl says:
https://www.facebook.com/share/p/1N4wfDAs4q/
President Trump’s message to communities opposing data centers is straightforward: accept the money, because if you don’t, someone else will.
At EPA headquarters on July 23, he expanded the Ratepayer Protection Pledge. This nonbinding commitment, backed by 23 governors and 187 companies, aims to protect household utility bills.
Trump argues that data centers will actually lower bills by injecting surplus power into the grid. His exact words: “You can’t fight it. You have to go with it.”
However, not everyone agrees. ICF consultancy predicts household bills could rise 15% to 40% by 2030. A March Gallup poll revealed that 71% of Americans oppose having a local data center.
What used to be a discussion about chips and capital has now become a major issue concerning electricity costs and political campaigns.
What are your thoughts on this?
Drop your take in the comments below.
#datacenter #ai #politics
Tomi Engdahl says:
https://www.facebook.com/share/1DGEXhUZkw/
An old trick has gained new life – finding AI users trying to cheat their way through college exams.
Tomi Engdahl says:
“These Big AI goliaths think they can buy off our government, our elections, our leaders, and our future and nobody will notice.” https://trib.al/D78NKAJ
Tomi Engdahl says:
Presidential Power
Poll Finds Overwhelming Majority Disgusted by Trump’s Relationship With AI Industry, Saying He’s Using the Tech to Tear Down Democracy
“These Big AI goliaths think they can buy off our government, our elections, our leaders, and our future and nobody will notice.”
https://futurism.com/artificial-intelligence/polling-trump-ai-industry-democracy?fbclid=IwdGRjcATd1UtjbGNrBN3VO3Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEepcIFHUZSJjuKmymT1pC6O4jjEjivzSgzWpp_ocChLLl-CEvc60D6pu8URhg_aem_z3u5DTUabrNW9MJye6HmLQ
Tomi Engdahl says:
That headline makes for a striking talking point, but the reality depends entirely on whether you look at America as a whole or zoom in on specific towns and counties.
The National View: False
On a macro national scale, data centers are not “drying up America”.
Total Share: All direct water consumed by U.S. data centers combined accounts for less than 1% (roughly 0.14% to 0.5%) of total U.S. daily freshwater withdrawals.
The Big Consumers: By comparison, irrigated agriculture consumes over 75% to 80% of diverted water in the American West, and residential lawn watering alone consumes over 10 times more water annually than all U.S. data centers combined.
The Local View: Very Real Crisis in Specific Hubs
While the national numbers sound small, data centers are concentrated in specialized “clusters” rather than spread evenly across the country. In these locations, the “soda straw effect”—drawing massive volumes from a single aquifer or municipal grid—causes genuine localized water crises.
Examples of Regional Friction:
The Dalles, Oregon: Google’s data center campus consumed over 25% of the city’s entire municipal water supply in 2021.
Northern Virginia (“Data Center Alley”): Facilities across four counties consumed close to 2 billion gallons of water in 2023, placing heavy demand on regional river basins.
The Desert Southwest & Texas: In drought-prone states like Arizona and Texas, building evaporative-cooled facilities has forced local boards to enact emergency moratoriums to preserve groundwater reserves.
Summary
Calling it a national drought driver is an exaggeration, but saying it is “drying up specific communities” is accurate.
The problem isn’t that America as a continent is running out of water because of AI, but that technology companies have historically built water-hungry evaporative facilities in water-stressed regions without compensating the local watershed.
Tomi Engdahl says:
https://www.facebook.com/share/p/1FK4pxkJkw/
AI music generator platform Suno has lost a copyright infringement case.
The landmark ruling was made in favour of German performance rights organisation GEMA by the Munich Regional Court in on Friday, July 31, finding that Suno was not entitled to use music represented by GEMA to train its AI models.
The court ruled that the AI platform is in breach of both the German and US copyright law, and that it had used, stored and reproduced copyrighted material without licence.
Tomi Engdahl says:
https://www.facebook.com/share/p/1SqrhwjYaK/
Communities and governments around the world are increasingly opposing new AI data centers over concerns about electricity use, water consumption, noise, and environmental impact as AI continues to grow.
In the United States, New York became the first state to approve a one-year moratorium on new AI data centers using 50 megawatts (MW) or more of electricity while officials study their environmental impact. In California, the city of Monterey Park has permanently banned new data centers after residents raised concerns about noise and power demand.
In Australia, a proposed A$2.9–3.5 billion AI data center in Sydney received 593 public objections and only three letters of support, with residents raising concerns about energy use, noise, traffic, and the loss of green space.
Across Europe, Amsterdam has restricted new hyperscale data centers, Denmark is considering limits on power grid connections, and Ireland has introduced stricter rules because data centers use a growing share of the country’s electricity.
According to United Nations University, AI data centers could double their electricity and water consumption by 2030 if current growth continues.
Despite the growing opposition, companies including Microsoft, Google, Amazon, Meta, xAI, and OpenAI continue investing billions of dollars in new AI data centers to meet the rising demand for artificial intelligence.
Tomi Engdahl says:
OpenAI CEO Sam Altman visited the White House last week to discuss the voluntary tests
US finalizes voluntary AI safety tests after OpenAI and Anthropic breaches
OpenAI CEO Sam Altman visited the White House last week to discuss the voluntary tests and his company’s upcoming AI models
https://www.independent.co.uk/tech/us-ai-safety-tests-anthropic-openai-hacks-b3026673.html?fbclid=IwdGRjcATd_Z9jbGNrBN39jXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEetswfDT2C2VeywYbTNi5oEp09tuwbIbOysm1DctP6s0adqe9KVUSVwX4W7fI_aem_Hx-m4NqZLp7LeneWdYEvEA
The Trump administration has finalized voluntary cybersecurity tests designed to measure the hacking capabilities of the most advanced U.S. artificial intelligence models, a White House official said Monday.
The development follows recent disclosures from AI developers Anthropic and OpenAI, whose tools breached other companies’ systems.
While the initiative is moving forward, the White House official did not immediately provide specifics on how results will be reported or the metrics the U.S. government plans to use.
Tomi Engdahl says:
https://www.facebook.com/share/p/14ia4xCTiSU/
Erin Brockovich launched a public map to track concerns about AI data centers across the United States.
The response was huge. In the first 72 hours after launch, the map crashed twice because so many people tried to use it.
The map lets residents report concerns about data centers that are already operating, under construction, or still being proposed.
People can also raise issues tied to water use, electricity demand, noise, local environmental impacts, and wider community concerns.
The rapid surge in reports suggests this is not just a local issue. It points to a growing national debate over how fast AI infrastructure is expanding and whether communities are being given enough information before these large facilities are built.
Research on data centers has found that these facilities can place major pressure on power grids and water supplies, especially in regions already dealing with drought or high electricity demand.
As AI use grows, more data centers will be needed to support it. The key question is whether that growth can happen with more transparency, stronger local input, and better planning for water, energy, and environmental impacts.
Tomi Engdahl says:
Read Erin Brockovich’s report:
https://www.thebrockovichreport.com/p/the-data-center-water-secret
Tomi Engdahl says:
https://www.facebook.com/share/p/1HaTsDdSB9/
Scientists from several universities are warning that artificial intelligence is making it easier to create scientific papers with fake references that look real, raising concerns about the accuracy of research.
In a new study, researchers analyzed 111 million scientific references from 2.5 million research papers in databases including arXiv, bioRxiv, SSRN, and PubMed Central. They estimated that about 146,900 fake or non-existent references appeared in scientific papers during 2025.
The researchers found that these fake references became much more common after the rise of AI tools such as ChatGPT and other large language models. Many of the fabricated citations looked convincing enough to pass through preprint screening and were not immediately detected.
The study says the problem is not that AI is making new scientific discoveries, but that it can generate realistic-looking papers and references that may appear genuine unless they are carefully checked by human reviewers.
In response, arXiv, one of the world’s largest scientific paper repositories, announced that authors who submit papers containing clear AI-generated errors, including fake references, can face a one-year ban.
The researchers say AI can be a valuable tool for science, but they stress that human fact-checking and careful review are essential to stop false information from entering the scientific record.
Sources: arXiv (Official Study).
AI-generated image for illustrative purposes only.
Tomi Engdahl says:
https://www.facebook.com/share/p/1FUAcK81Q3/
Millions of printed works are sent to service providers, cut open, and scanned page by page. In the end, only a digital file remains—and a new copyright dispute.
Books are considered cultural heritage. For AI companies, however, they are above all valuable training material. To develop their language models, firms like Anthropic purchase millions of physical books in bulk, often sourcing from European and international book sellers. The works are not resold or archived afterward. Instead, service providers slice off the book spines, digitize each page using high-speed scanners, and dispose of the paper stacks in recycling.
Court documents from a copyright lawsuit against US company Anthropic reveal how systematic this approach has become. The documents, made public in January 2026, provide rare insight into the AI industry’s race for high-quality training data. Under the codename “Project Panama,” Anthropic systematically purchased millions of books in 2024—including rare and out-of-print titles—and had them dismantled by hydraulic cutting machines. An internal planning document described the effort plainly: “Project Panama is our effort to destructively scan all the books in the world.”
The company acknowledged that this method was deliberately kept hidden, aware of how negatively such practices would be perceived. In June 2025, a federal judge determined that scanning legally purchased books may constitute “fair use” under U.S. copyright law—a transformative use of the original works. However, Anthropic later paid a settlement of $1.5 billion for prior allegations involving the use of pirated books.
This practice raises important questions: What becomes of our cultural diversity when the last physical copies of rare or out-of-print titles are destroyed? While courts clarify the legal status, the ethical debate over the price culture and the book industry pay for artificial intelligence development continues to grow.
Images are generated by AI and for demonstration purposes only.
Source: Bartz v. Anthropic settlement (2025), Washington Post reporting on Project Panama (January 2026), court documents unsealed January 2026.
#ArtificialIntelligence #Copyright #Books #DataPrivacy #CulturalHeritage #fblifestyle
Tomi Engdahl says:
EU to build AI gigafactories across Europe to close the gap with the US and China
Who’s up for the job?
https://cybernews.com/ai-news/ai-gigafactories-europe-usa-china/?utm_source=cn_facebook&utm_medium=social&utm_campaign=cybernews&utm_content=post&source=cn_facebook&medium=social&campaign=cybernews&content=post&fbclid=IwVERDUATelxFwZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHuFoWPIVnvunXMeQiILC7Sfp_H6wZvm8etdaHSbNJXjlrjXienCR1I4dBHxi_aem_oxuoBdkR8qwmILWMeMhinw
Key takeaways:
The European Commission wants to unlock €20 billion in private investment plus €10 billion in EU support to close the computing gap with the US and China.
Factories will give European startups, researchers, and public authorities access to AI infrastructure to train models without relying on foreign technology.
AMD, Nvidia, and Qualcomm have agreed to supply necessary chips, though winners can choose European hardware instead.
Bidding closes November 12, 2026, with facilities expected to be ready for use by the end of 2028.
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19150-tekoaelypalvelin-saa-lisaeae-muistivauhtia
Renesas nostaa DDR5-palvelinmuistin nopeuden 16 000 megasiirtoon sekunnissa. Kolmannen sukupolven MRDIMM-piirisarja kasvattaa muistiväylän kaistanleveyttä 25 prosenttia ilman siirtymistä kokonaan uuteen muistitekniikkaan.
Uusi ratkaisu koostuu RRG5013-kellopiiristä ja RRG5103-datapuskurista. Ne multipleksoivat muistimoduulin rivejä siten, että prosessorin ja DDR5-muistien välinen tiedonsiirto voidaan ajaa muistipiirejä suuremmalla nopeudella.
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19151-reunaaely-vaatii-uudenlaisen-siruarkkitehtuurin
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19155-pcie-6-0-tuo-ssd-levyt-ai-palvelimien-seuraavaan-vauhtiluokkaan
Tomi Engdahl says:
https://etn.fi/index.php/tekniset-artikkelit/19152-varateho-voi-pahentaa-datakeskuksen-laempoeongelmaa
Tekoälypalvelinten kasvava tehotiheys tekee datakeskusten varmistamisesta aiempaa monimutkaisempaa. Ylimääräiset teholähteet voivat parantaa käyttövarmuutta, mutta samalla ne lisäävät lämpökuormaa ja häiritsevät ilmavirtoja. Siksi tehonsyöttö, varmennus ja jäähdytys on suunniteltava yhtenä kokonaisuutena.
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19148-nigel-tekoaely-laajenee-labview-testaamiseen
Tomi Engdahl says:
Microsoft laittaa tekoälyagentit hyökkäämään
https://etn.fi/index.php/13-news/19147-microsoft-panee-tekoaelyagentit-hyoekkaeaemaeaen
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19141-tekoaely-nosti-nokian-kasvuun
Nokian liikevaihto kasvoi toisella neljänneksellä yhdeksän prosenttia ilman valuuttakurssien vaikutusta. Kasvun moottoriksi nousivat tekoäly- ja pilvipalveluasiakkaat, joille suuntautunut myynti yli kaksinkertaistui vuodessa. Samalla Nokia sai näiltä asiakkailta uusia tilauksia 2,8 miljardilla eurolla.
– Strategiamme hyödyntää täysimittaisesti tekoälyn luomia kasvumahdollisuuksia, ja olen tyytyväinen lyhyessä ajassa saavuttamiimme tuloksiin, Nokian toimitusjohtaja Justin Hotard sanoo.
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19124-jolla-iskee-tekoaelyn-avaamaan-rakoon-kaennykkaemarkkinassa
Tomi Engdahl says:
Yes, this is a real thing. https://trib.al/lNlP2cO
Linked Out
LinkedIn Adds Button on Every Post to Report “Seems Like AI Slop,” Which Is Definitely Going to Get a Real Workout
A button that marks posts as not being AI slop would probably be far more useful.
https://futurism.com/artificial-intelligence/linkedin-adds-button-report-seems-like-ai-slop?fbclid=IwdGRjcATeqBJjbGNrBN6n7XBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeRMdi_j_OYrbIKTjMlpWrS9gtdhZ5g19CwFLE5K5W1AryAeA7eCIaPlGB5dc_aem_CKiPEV8xNmEDs1AoTfezeg
Perhaps more so than any other social media platform, LinkedIn has been inundated with lazy AI-generated brainrot content. It has become the AI slop “punching bag,” a repository of painful engagement bait being spewed out by an army of bots who seem at times to mainly be lobbing business platitudes at one another.
Just last week, Substack CEO Chris Best took aim at the Microsoft-owned career site when he announced the launch of an AI detector feature “because we’re sick of slop and we don’t want Substack to turn into LinkedIn.”
According to AI detection company Pangram, a shocking two thirds of LinkedIn posts are showing up as being AI generated by users of its browser extension. More than 40 percent of longform posts were flagged as “fully AI-generated,” according to the company.
Credit where credit’s due: LinkedIn has seemingly caught on to the abysmal state of its service, quietly introducing a new button that allows users to flag a post that “seems like AI slop.”
“Genuinely thought it was a joke until I clicked on a few posts,” one user wrote in a Bluesky post after discovering the feature.
It’s a baffling move, but probably well intentioned. Whether LinkedIn will act on what will likely be a massive influx of flagged posts remains to be seen, however.
Tomi Engdahl says:
That’s gonna leave a Mark. https://trib.al/P3ZiIiu
Leaving a Mark
Mark Zuckerberg’s Pivot to AI Is Blowing Up in His Face Spectacularly
Investors are not happy.
https://futurism.com/artificial-intelligence/mark-zuckerberg-pivot-ai-blowing-up-face?fbclid=IwdGRjcATeqwNjbGNrBN6q53Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeVkmf6JWuoDUsdB0a3CVTTu0f8XrI2zFP_mV7GXArA20VkhHgb3Q2ao9uA50_aem_AS59_5EtD-VgnpR4XkyJvA
Tomi Engdahl says:
Those were the days. https://trib.al/kYenAQ7
Good Ol’ Days
Employees Long for the Days Before the Workplace Filled Up With AI Slop
Those were the days.
https://futurism.com/artificial-intelligence/employees-long-days-before-ai-slop?fbclid=IwdGRjcATesP1jbGNrBN6w43Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe9ef4J8fzag61DW5JICaVx4ylPSfNht7AKKFuYjvF_vGpcGzi1viaq863Bf0_aem_xHAOaKjgvFlfrVf9KzPrIg
The majority of workers agree: AI has turned their lives into slop-filled misery, making them yearn for the good old days before the tech existed.
According to a new survey of office workers by professional services company Adaptavist, just shy of two thirds of respondents say they regularly long for their old, pre-AI work life. Over a third of them would delete generative AI tools from their lives in their entirety if that was an option. And some 36 percent admitted they didn’t even understand why AI was being forced on them in the first place.
In many ways, the results shouldn’t come as much of a surprise. The advent of AI has led to widespread frustration and added stress for workers being forced to carefully comb over the output of hallucinating AI models and engage in prompt engineering that wasn’t part of their original job description.
The survey’s results are a strong indication that the once-promised boost to productivity thanks to AI has yet to materialize. Worse yet, AI is actively getting in workers’ ways. Some 42 percent of respondents said they “spend more time verifying AI output than they save using it,” while 49 percent reported that “poor-quality AI output slows down projects.”
Meanwhile, generic slop is turning tasks that once required a modicum of creativity into a slog. Almost half of respondents to Adaptavist’s survey said that all the slop is making their jobs “feel more repetitive and less meaningful.”
Instead of being freed up to pursue a life of leisure while AI takes care of the brunt work, as tech leaders once promised, the conversation has shifted to an even unhealthier work-life balance. Workers are clearly afraid of being made redundant as company leaders push for AI adoption. Over half (54 percent) of survey respondents said they fear losing their jobs within the next five years as a result of AI.
“Without clear guardrails, accountability, and alignment, the promise of AI efficiency risks being offset by a growing burden on the very people it is designed to support,” Adaptavist wrote in its report.
It’s a confusing and frustratingly incoherent new reality that’s already alienating an entire generation. Thankfully, Gen Z, which is facing a dire post-graduation job market thanks to AI, is choosing to fight back — a growing rebellion against polluting data centers and chatbots that erode our critical thinking skills.
Tomi Engdahl says:
Let Them Eat Cake
Sam Altman Says Even the Power of AI Will Never Lead to a Shorter Work Week
“We’re still going to complain about it, but secretly we’re going to be happy.”
https://futurism.com/artificial-intelligence/sam-altman-power-ai-shorter-work-week?fbclid=IwVERDUATesZVwZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHuDzEX8K5bY4CBgqdCITCQYEmvZJ7BFSzM6YbxrKOwpY9cP7xlsZ6sHP8Lna_aem_QavhngxVZInMa6ymZT6JZg
Tomi Engdahl says:
Google pulls new Earth AI tool after just 48 hours after users fake disasters
The Great Pyramid of Giza being swallowed by a sinkhole is the least of our worries
https://www.uniladtech.com/science/news/google-earth-ai-tool-pulled-fake-disasters-743307-20260803?utm_content=tech&utm_medium=Social&utm_source=facebook&fbclid=IwdGRjcATe08JjbGNrBN7TqnBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe-Xe_9UZONnhPEBLC-VWvCJHUEkQRWHVDgBuehUoq4Y4Xl8bKJuy7_hOCxNk_aem_QBFU0AWAZxUja3ei45H8BQ
It’s hard to believe anything we see online these days, and while it’s sometimes funny watching AI videos of kangaroos caught jumping on trampolines by security cameras, there’s the more concerning evolution into the news.
As journalists, we’re constantly left asking whether images or even videos are the real thing, having to check sources more than ever.
At the forefront of the AI movement is Google, but with parent company Alphabet being one of the Big Five alongside Amazon, Apple, Meta, and Microsoft, is it any surprise? Google search has already changed dramatically thanks to AI snippets, but after Google Earth got its own AI revamp, the tech giant was quickly forced to roll it back.
As reported by the BBC, the Google Earth overhaul was stripped back less than 48 hours after going live due to people apparently faking disasters with the tool.
Google withdraws new Earth AI tool after warnings over misinformation risks
https://www.bbc.com/news/articles/c9349yx2ydvo?fbclid=IwVERDUATe1ARwZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHgUVQ6rsswFTHDi4gxf2sjy3rNSxUQiF-CvTn4V0SD8t6FrqZeikpVaZUeIT_aem_8zI114tqNc90Y3wlqXEVZw
Tomi Engdahl says:
Slop and Sleaze
Boomers on Facebook Are Leaving Comments That Make It Clear That They Have No Idea That AI-Generated Thirst Traps Aren’t Real
“Not me, I’m not scrolling past you.”
https://futurism.com/artificial-intelligence/boomers-facebook-ai-thirst-traps?fbclid=IwdGRjcATe7tljbGNrBN7urHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeSU9JiQCE_tgjhoCRS3AGQmoforpNEiV_GXySagobeKJxatdLet0zkXlZsKI_aem_YEM3uqnLTn5EkWx6C_tSUQ
Back in 2023, we reported on AI-generated influencers that were pulling thousands of reactions per thirst trap on Instagram.
Years later, the schemes are only getting more sophisticated. Instead of still images, Meta’s platforms are now filling with AI-generated video of nonexistent young woman that are objectified beyond belief while pushing the platform’s rules on sexualized content to the absolute breaking point.
After years of public discourse about the dangers of AI-generated media, you might imagine that users’ skepticism is growing. But instead, the videos are luring in legions of lonely old guys who seem to have no idea that the visages aren’t real.
Vying for the attention of Facebook simps, the AI-generated influencers often deploy language so lurid that it may make you blush.
“Yeah, I got a taco that grips back,” another virtual influencer account, called “Kylie Blaze,” said in another Reel, while standing over a car engine block. “But I’m sure older guys will scroll past me just because I’m a young mechanic girl.”
The thirst trap accounts highlight the unfortunate reality of what social media has turned into in the age of generative AI. Thanks to the proliferation of easy-to-use video generating tools, platforms like Facebook and Instagram are being flooded with basement-tier content designed to play on users’ most basic instincts.
Worse yet, a massive subsection of users appear to be unaware that it’s all fake, a phenomenon we first encountered years ago.
The reactions to these accounts’ pleas for attention also highlight something far more bleak: a loneliness epidemic that has gripped the world, particularly in the wake of the COVID-19 pandemic.
Experts have found that the trend is closely linked to social media use, with apps like Facebook and Instagram making lonelier instead of fostering human connection.
Large Quackery Models
Meta Is Letting Fake AI-Generated Doctors Sell Quack Cures on Its Platforms
“They’re targeting us people that have health issues.”
https://futurism.com/artificial-intelligence/meta-ai-doctors-quake-cures?fbclid=IwVERDUATe745wZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHq5o1bspu30RHiqoKImg4VnrHSr_4q217Z2h_5drBaUVewfdzAjDUZL1Q_qR_aem_N89T4asobuQ0PxPwj5cw0Q
Tomi Engdahl says:
Why though? https://trib.al/jzW4bx1
Lighting Money
Tech Companies Are Setting Themselves on Fire to Keep Up in the AI Race
But why?
https://futurism.com/artificial-intelligence/tech-companies-setting-on-fire-ai-race?fbclid=IwdGRjcATe8DRjbGNrBN7wIHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeMbPktPr_Tr5b35x6vkGfn9dVsDVzh29lHk7RLCMsSV-v5xGYGBoGgQptUyw_aem_R_7XP5EP9pWTdIdx9gmxKQ
Tech companies are making record amounts of money, posting major gains in the most recent quarter compared to the same period just a year ago.
But despite all that income, these same companies are struggling to save any cash left over thanks to unfathomably huge AI-related expenses, a trend that could imminently put them firmly in the red.
As the Washington Post reports, the situation is about to go from concerning to potentially catastrophic. According to data compiled by S&P Global Market Intelligence, free cash flow — the amount of cash that remains after expenses — is about to drop off a cliff for the five leading AI companies, including Google, Meta and Oracle, after sinking to just above zero for the year.
In 2027, cash flow is expected to slide to a stunning negative $125 billion for those five companies alone
Whether the industry will be able to escape the spending binge isn’t guaranteed. Some experts say AI is a dead end. Promised gains in productivity have also turned out to be majorly exaggerated, at least so far. Companies are also struggling to convince enterprise clients to keep paying steeply rising prices as the true costs of AI tools become harder to ignore.
The tech has become a major headache for consumers, with spiking prices for electricity and electronics. The opposition to AI data centers has ballooned into a major bipartisan issue. And if the AI bubble were to pop, many everyday people’s retirement savings could be dragged down with it.
In short, tech companies have a lot left to prove — and that’s putting it lightly. They’re willing to put their companies’ very existence on the line by investing steeply in AI, a bet that has never looked riskier.
Tomi Engdahl says:
“Give it to people for free, get them hooked, then jack up prices.” https://trib.al/r94Y6vl
Hooked on AI
OpenAI Is Taking the “Crack Cocaine” Approach to Pricing
“They’ve kind of taken the crack approach to AI. Give it to people for free, get them hooked, then jack up prices.”
https://futurism.com/artificial-intelligence/openai-crack-cocaine-approach-token-pricing?fbclid=IwdGRjcATe9eJjbGNrBN71yXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEekpCA9b3e5o0vBi9J5XBCuEQzjP8Iap9cZ2KA_0b5_ckgiGkk60kI2PG_fas_aem_80u3sXFNpgEOsN2opjnVXg
OpenAI burned through a staggering amount of money in 2025.
According to audited financial figures obtained by AI skeptic Ed Zitron, who shared them with The Financial Times, the net loss attributed to the ChatGPT maker soared from $5 billion in 2024 to a stunning $39 billion in 2025.
You can relitigate the numbers all day — a source familiar with situation told the FT that a lot of those 2025 losses are a “non-cash accounting charge linked to the company’s previous structure rather than its underlying operations — but the financial pressure does seem to be taking a toll. After years of giving users largely unfettered access to its models for a monthly fee, OpenAI and many of its competitors are now debating whether to boost prices dramatically by transitioning to a token-based billing system, charging users more directly for the amount of computing power they consume instead of an open-ended monthly subscription.
OpenAI currently offers both pay-as-you-go API access and monthly ChatGPT subscriptions. But how long the latter will stick around is looking increasingly uncertain. Earlier this month, OpenAI CEO Sam Altman argued that “we see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter.”
In other words, OpenAI’s behavior sounds an awful lot like a drug dealer who floods the market with addictive drugs, then jacks up the prices once users are dependent on them.
“They’ve kind of taken the crack approach to AI,” one Reddit user argued. “Give it to people for free, get them hooked, then jack up prices.”
https://futurism.com/artificial-intelligence/openai-crack-cocaine-approach-token-pricing?fbclid=IwdGRjcATe9pRjbGNrBN71yXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEekpCA9b3e5o0vBi9J5XBCuEQzjP8Iap9cZ2KA_0b5_ckgiGkk60kI2PG_fas_aem_80u3sXFNpgEOsN2opjnVXg
Tomi Engdahl says:
Bars on the Floor
Rapper Denies That His Billboard-Charting Song Is AI-Generated
Listeners — and musicians — aren’t having it
https://futurism.com/artificial-intelligence/rapper-denies-song-is-ai-generated?fbclid=IwVERDUATe9wVwZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHoJG-GKHtEXS0saQNGsGQyNAknJXGHrIhrLJUPl92wQ7pz_9AQayV4fCBZbY_aem_DMp5aMSbdJnvPiIQ-uBHVQ
The LA-based rapper Fenix Flexin is denying that his hit new single was AI-generated after extensive allegations.
The song, “Rubberz,” climbed to number 58 on the Billboard Hot 100 after dropping in June. Many of his peers gassed up the track, but listeners immediately noticed something off. A lot of things, actually.
For one, many pointed out that the vocals didn’t sound like Fenix at all
His “live” performances are doing him no favor, either, as he badly lip-syncs through lyrics he barely seems to remember and which are borderline nonsensical.
Did we mention he’s singing in a British accent in the new song, for some reason, while dabbling in a genre — bad 80s synth-pop pastiche — he’s never even attempted before? Timothy “Timbaland” Mosley coming to Fenix’s defense just fueled suspicions further; he’s one of the biggest AI evangelists in the industry.
Tomi Engdahl says:
Bloomberg:
SpaceX reports Q2 revenue up 92% YoY to $7.8B, vs. $6.81B est., AI operating loss of $1.26B, vs. $2.39B est., says capex in Q3 and Q4 will remain similar to Q2 — SpaceX stock fell after the company disclosed higher-than-expected spending on its artificial intelligence business …
https://www.bloomberg.com/news/articles/2026-08-04/spacex-exceeds-revenue-estimates-in-first-earnings-since-ipo
Tomi Engdahl says:
Mia Sato / The Verge:
How Reddit moderators are battling AI-powered astroturfing ad campaigns that exploit the platform’s trusted reputation to promote skincare and other products
Can Reddit fend off a new wave of AI SEO spam?
The era of AI-powered search has made Reddit mentions highly valuable. Subreddit moderators are catching brands trying to take advantage.
https://www.theverge.com/ai-artificial-intelligence/973098/reddit-ai-search-seo-marketing-brands-spam?view_token=eyJhbGciOiJIUzI1NiJ9.eyJpZCI6ImxFdUx0VXBLR1MiLCJwIjoiL2FpLWFydGlmaWNpYWwtaW50ZWxsaWdlbmNlLzk3MzA5OC9yZWRkaXQtYWktc2VhcmNoLXNlby1tYXJrZXRpbmctYnJhbmRzLXNwYW0iLCJleHAiOjE3ODYyNzcxNDQsImlhdCI6MTc4NTg0NTE0NH0.5xvH6sSk5P0dplXamVR86M7YGKK3aSa-PeL8MZI3TL0&utm_medium=gift-link
Tomi Engdahl says:
Bloomberg:
The AI frenzy has divided the VC market, as the gap between top and bottom performers has more than doubled for 2024 funds compared to funds from 2017 to 2021
https://www.bloomberg.com/news/features/2026-08-04/big-ai-bets-divide-venture-capital-leaving-smaller-funds-behind
Tomi Engdahl says:
https://www.facebook.com/share/p/1HUZcCPwCM/
Erin Brockovich is raising concerns about how quickly AI data centers are expanding across America and whether communities are being given enough information before major projects begin.
During an appearance on Theo Von’s podcast, Brockovich said many residents are discovering large-scale developments only after construction has already started. She pointed to concerns shared through her public data center reporting map, where thousands of people have submitted complaints about transparency, noise, water use and rising electricity costs.
Supporters of AI infrastructure argue that data centers bring investment, jobs and technological progress. Critics say communities deserve a stronger voice before projects that can transform local resources and landscapes move forward.
The debate is growing over one key question, should economic growth happen first, or should public involvement come before major decisions are made?
#fblifestyle #Polarbear #ErinBrockovich #DataCenters #ArtificialIntelligence
Tomi Engdahl says:
It’s AI-on-AI violence. https://trib.al/HZ76tkQ
Crack Squad
Google’s AI Is Telling Users That Flock Cameras Are Filled With Valuable Gold and Copper
It’s AI-on-AI violence.
https://futurism.com/artificial-intelligence/google-ai-overview-flock-alpr-surveillance-hallucination-gold-copper?fbclid=IwdGRjcATgQ8NjbGNrBOBDo3Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeSS4TNioUN3–ATJs-oowNAHmA0CNYXshBsPwzVhTYU6Ym5SnCEMPK5ni7zI_aem_1AtxLl4R68bZ9CnjhhYk-Q
Google’s notorious AI Overview just handed would-be Flock vandals a perfect excuse to carve into the company’s controversial AI-integrated license plate readers (ALPRs).
ALRPs are wildly unpopular, especially online, where privacy-minded communities trade memes and videos cheering on destruction of the surveillance equipment. One of the more popular bits in this space centers on the idea that Flock’s ALPR’s are supposedly packed with valuable metals like gold, copper, and zinc — so, the tongue-in-cheek riffing goes, why not crack one open and cash in at the nearest scrapyard?
Tomi Engdahl says:
For a time, it appeared as if AI would find broad acceptance among the American masses. The peanut gallery on social media happily embraced early image generation models as researchers appeared to make significant breakthroughs with the aid of their newfound tools. On paper, surveys found public attitudes toward the tech continued to improve into 2025 — before sharply reversing.
According to a joint poll conducted by Bentley University and Gallup, the percentage of US adults who think AI does “more harm than good” is rising, from 31 percent in 2025 to 39 percent this year. A miserably low 9 percent still think the tech does “more good than harm.”
As outlooks sour, the Bentley-Gallup poll found that Americans’ familiarity with AI continues to grow. In 2026, 70 percent of those polled said they’re “somewhat or extremely knowledgeable” about AI, up from two years ago. The implication probably gives OpenAI’s Sam Altman a migraine: the more people learn about AI, the less they seem to want it in their lives.
https://trib.al/LTpjdrb
On The Outs
The More People Learn About AI, the More They Want It Out of Their Lives
“I hear people champion AI and I’m like, ‘sure, why don’t we all participate in our collective downfall?’”
https://futurism.com/artificial-intelligence/ai-learn-negative-sentiment-polling-american-attitudes?fbclid=IwdGRjcATgUuVjbGNrBOBS13Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe5LtvnyV7TA2kqPe75R4M5gF6YUs1AfhvqtA3nAg5KGBh5yKuCnh9Cr7HqzA_aem_IUkRV1b1GbGEZSnvbQyW6g
For a time, it appeared as if AI would find broad acceptance among the American masses.
The peanut gallery on social media happily embraced early image generation models as researchers appeared to make significant breakthroughs with the aid of their newfound tools. On paper, surveys found public attitudes toward the tech continued to improve into 2025 — before sharply reversing.
Tomi Engdahl says:
“Our top priority is to protect Texans’ safety and quality of life.” https://trib.al/tMHcOQ3
Broken Grid
Texas Data Centers Suffer Brutal Collision With Reality
“Our top priority is to protect Texans’ safety and quality of life.”
https://futurism.com/artificial-intelligence/texas-data-centers-reality-grid?fbclid=IwdGRjcATgdVBjbGNrBOB1MnBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeN6Cn_UP_nRHhHJ19aZmaJOJGh5L6D12hHVKEzZkkSoryRq0ATFafJ8VHHHY_aem_gkoT6zHte7Y8tvJBsij0xg
Texas is tripling down on the construction of AI data centers, at any cost.
But there’s a glaring problem that’s grinding construction plans to a halt: a woefully inadequate power grid that won’t be able to support all of these new facilities.
As The Texas Tribune reports, governor Greg Abbott announced a moratorium for all new data center approvals on Monday. It certainly wasn’t a response to the spiking bipartisan opposition to data centers that has gripped the nation. Instead, Abbott’s goal was to give regulators time to perform an audit on how to hook up new data centers to the Texas grid without melting it down.
“Our top priority is to protect Texans’ safety and quality of life,” Abbott said in a statement.
The scale of the proposed data center buildout is staggering. The Electric Reliability Council of Texas (ERCOT) alone has a queue of over 1,800 projects that would draw over 474 gigawatts of electricity. According to the regulator, that’s over five times the Texas grid’s record for peak demand.
The news highlights major headwinds in the Lone Star State’s efforts to go all-in on AI, a construction frenzy that’s now experiencing a brutal collision with reality. Even before the AI gold rush, the state’s grid has struggled to keep households warm during unusually cold winters. Major cryptocurrency mining operations have also risked bringing the grid to its knees.
Tomi Engdahl says:
How Data Centers Are Making It Harder for Americans To Get Housing
https://www.newsweek.com/how-data-centers-are-making-it-harder-americans-get-housing-12280830?utm_medium=Social&utm_source=Facebook&fbclid=IwdGRjcATgfyZjbGNrBOB_HHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEePIM8pAiT1KT_CzTCmykQHJea9fnvhNK5MMmyI5WeA7VFZdxfEL0ngmnZ50o_aem_0RqsW1Iov-6Z0VIYRBbByA#Echobox=1785855166
Data center developers are paying “impossible prices” for land and outbidding homebuilders, leaving them to face a “losing battle” just as the U.S. housing market is short of millions of affordable homes, according to a new report.
Tomi Engdahl says:
https://www.facebook.com/share/p/1C7FMmpXFa/
Alexandria Ocasio-Cortez (AOC) recently introduced the Artificial Intelligence (AI) Data Center Moratorium Act. This legislation proposes a temporary, nationwide ban on building new AI data centers and expanding existing ones. The goal? To freeze infrastructure construction until Congress passes comprehensive legislation to address the environmental, economic, and safety impacts of artificial intelligence.
AI and robotics are driving an unprecedented, sweeping technological revolution that relies heavily on expanding data center infrastructure. AOC’s bill demands strong national safeguards to ensure that this technology boom is carefully managed. Specifically, the moratorium would stay in effect until we can guarantee that:
AI data centers do not destroy the environment or harm local communities.
The infrastructure does not cause an increase in electricity and utility prices for the public.
The economic gains of AI and robotics benefit everyday workers, not just the wealthy owners of Big Tech.
Executives are prevented from releasing harmful products that threaten working families’ health, privacy, and civil rights.
The bill ultimately argues that we must prioritize “humanity over profit” by giving democratic oversight a chance to catch up with this rapidly advancing technology.
Tomi Engdahl says:
China’s growing dominance in electricity generation is giving it an edge in the race for artificial intelligence.
This scenario is familiar from the industrial sector, where Chinese industrial companies have benefited from an abundant supply of electricity and low prices.
Source: https://www.hs.fi/visio/art-2000012173816.html
AI Image Describer says:
One important 2026 trend is the shift from general-purpose AI toward focused tools that solve a specific workflow well. An describer image is a good example: it can turn photos, screenshots, charts, and documents into descriptions, alt text, extracted text, or reusable prompts. The real value will come from combining fast visual analysis with human review, especially when accessibility, technical accuracy, privacy, or sensitive information is involved.
Tomi Engdahl says:
Jonathan Vanian / CNBC:
Meta releases Muse Code in beta, a terminal coding agent powered by Muse Spark 1.2, a coding-focused model priced at $1.25/1M input and $4.25/1M output tokens — Meta is rolling out its first coding agent called Muse Code as the company tries to challenge leading AI labs Anthropic and OpenAI.
Meta debuts first AI coding agent to take on Anthropic and OpenAI
https://www.cnbc.com/2026/08/05/meta-debuts-muse-code-to-take-on-anthropic-and-openai-.html
Tomi Engdahl says:
Jyoti Mann / The Information:
Source: Muse Spark 1.1 model breached a company’s systems during cybersecurity testing; Meta says evaluation partner Irregular caused a sandbox misconfiguration — A Meta Platforms artificial intelligence model accessed the internet during cybersecurity testing and hacked into another company …
A Meta AI Model Hacked Another Company During Cybersecurity Testing
https://www.theinformation.com/articles/meta-ai-model-hacked-another-company-cybersecurity-testing
Tomi Engdahl says:
Cristina Criddle / Financial Times:
PitchBook: AI voice startups raised $7B in Q1 ’26, vs. $1B in Q1 ’25, as OpenAI and Google bet on voice as the main interface for a new generation of AI agents
https://www.ft.com/content/b7d917d4-9304-4dfe-99bd-db19fafd5238
Tomi Engdahl says:
Wall Street Journal:
Meta is offering a cheaper Muse Spark 1.2 “contributor” tier priced at $0.10/1M input and $0.20/1M output tokens in exchange for using user prompts for training
Meta Releases Coding Agent to Compete With OpenAI and Anthropic
The company, pressed by investors to generate revenue from AI, says its offering will cost less than popular alternatives
https://www.wsj.com/tech/ai/meta-releases-coding-agent-to-compete-with-openai-and-anthropic-af87b517?st=hqtidY&reflink=desktopwebshare_permalink
Tomi Engdahl says:
Megan Morrone / Axios:
OpenAI says “Apple should not be permitted to use a baseless and pretextual lawsuit to make up for its failures to integrate AI into its products”
OpenAI moves to dismiss Apple’s trade secret lawsuit
https://www.axios.com/2026/08/06/openai-apple-motion-to-dismiss
OpenAI asked a federal judge Wednesday to dismiss Apple’s lawsuit accusing the AI giant and two former Apple employees of stealing trade secrets and soliciting confidential information from job candidates.
Why it matters: The motion is an early step in a legal fight that could stretch for years. If the case survives, discovery could expose sensitive details about both companies’ hiring, hardware development and data-security practices.
What’s inside: OpenAI’s motion bristles with digs at Apple, portraying the lawsuit as an effort to compensate for the iPhone maker’s struggles to retain talent and keep pace in AI.
“Apple should not be permitted to use a baseless and pretextual lawsuit to make up for its shortcomings in the market for talent and retaining its employees, and its failures to integrate AI into its products,” the motion says.
Variations of the word “fail” appear nearly 50 times in the 31-page filing.
loomberg:
OpenAI files a motion to dismiss Apple’s lawsuit accusing the AI company of stealing trade secrets, saying that the iPhone maker’s allegations are meritless — OpenAI is asking a federal judge to dismiss a lawsuit filed by Apple Inc. accusing the artificial intelligence company of stealing trade secrets …
https://www.bloomberg.com/news/articles/2026-08-06/openai-asks-judge-to-toss-apple-suit-alleging-trade-secret-theft