AI trends 2026

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

Processing AI tasks locally on phones, wearables, or edge devices will increase, helping with privacy, lower latency, and offline capabilities — especially crucial for real-time scenarios (e.g., IoT, healthcare, automotive).

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”

3,964 Comments

  1. Tomi Engdahl says:

    The major crowdsourced mapping initiative launched by environmental activist Erin Brockovich, who created a platform to track AI and hyperscale data centers across the United States.
    The interactive mapping platform at Brockovich Data Center Reporting runs on standard web hosting and cloud server components.
    The underlying irony highlighted by critics and tech analysts is that the website itself must run on a cloud network. When users access the map to report a facility.

    Reply
  2. Tomi Engdahl says:

    The image accurately points out the irony of the “go paperless” narrative. Digital computing carries a substantial, energy-intensive physical footprint. However, asserting that data centers “poison ecosystems on a scale paper never reached” is false—historically, traditional pulp and paper manufacturing involved far higher direct water withdrawal and significantly more chemical pollution than server facilities.

    Reply
  3. Tomi Engdahl says:

    The Real Conflict: Local Density vs. Global Footprint
    ​The claim that data centers “drain water and poison ecosystems on an unprecedented scale” is an exaggeration, but it stems from a real issue: geographic concentration.
    ​Paper mills were historically built near large, flowing rivers in water-rich regions.
    ​Data centers are often clustered in specific regions (like Northern Virginia, Texas, or Arizona) near fiber-optic trunks, putting immense pressure on local utility grids and specific aquifers.

    Reply
  4. Tomi Engdahl says:

    The environment seems to be of little concern now!

    applies especially what seems to happen in USA at the moment according to my news feed.
    Because I don’t live in USA and work very close to data center projects there, I can’t be 100% sure is of that picture is entirely right.
    The environment seems to be taken much more seriously in Europe. They are building and have built data centers in Finland, which have reduced water use and CO2 exhaust compared to situation before them. Paper mills closed and converted to data centers, use lots of CO2 free energy (solar,wind,hydroelectricity,nuclear) and reuse of waste heat for district heating (much less CO2 producing coal,oil,natural gas,wood for heating).

    Reply
  5. Tomi Engdahl says:

    Parody
    New Data Center Built To Handle Influx Of Online Rants Against Data Centers | Babylon Bee https://share.google/ROYPdEqfw7ns0LqO2

    Reply
  6. Tomi Engdahl says:

    AI is going to be blamed for allot of bad things in the future. They want you to believe it exists and that it is possible So they don’t have to take responsibility for it. Wake up.

    Reply
  7. Tomi Engdahl says:

    Exclusive: US military had close call after using AI for false intelligence report, sources say
    https://edition.cnn.com/2026/09/18/politics/us-military-ai-false-intelligence-china-ship

    Reply
  8. Tomi Engdahl says:

    https://www.facebook.com/share/p/1Dj3DBGNRA/

    According to court filings, Brent Hecht, a Microsoft director of applied science, used the phrase “largest theft of labor in human history” while discussing the massive scraping of online content used to train AI models. The documents also show some OpenAI and Microsoft employees privately expressing concerns that AI systems could undermine the publishers, writers, and websites whose content was used to train them – much like CE’s, which was a top 1000 website globally for quite some time.

    The lawsuit centers on whether using millions of copyrighted articles, books, and other works to train AI models without permission is legal under U.S. copyright law. Many experts feel it is large-scale copyright infringement, while OpenAI and Microsoft believe that AI training is a transformative use protected by fair-use doctrine.

    The courts have not yet made a final determination on that central question, yet it is unlikely to punish AI creators given their insertion into the elitist class.

    The newly unsealed documents are noteworthy because they suggest that some people inside the companies were aware of the ethical and legal concerns. Other filings reportedly show discussions about how AI products could reduce traffic to publishers and potentially weaken the economic foundations of journalism.

    Much of the digital economy has been built on extracting value from human attention, creativity, and labor at enormous scale. AI accelerates that dynamic. Will intelligence itself becomes another resource to be centralized and harvested? Or will society can develop new models that fairly reward the people whose knowledge, writing, art, and experience make these systems possible?

    Reply
  9. Tomi Engdahl says:

    https://www.facebook.com/share/p/19bqBULKwd/

    Correct. And it’s about time someone in Congress said it.

    While Silicon Valley CEOs go on every podcast warning that AI is about to develop a mind of its own and wipe us all out, AOC just called that story what it is: a distraction.

    Her point — the robots aren’t coming for you. The billionaires building them already are.

    Mass layoffs, price gouging, your data getting fed into a machine that can’t reliably do basic math, and a bubble so big that when it pops, they’ll expect you to bail them out while denying you healthcare.

    And she’s not the only one saying it.

    Bernie Sanders just introduced a bill with Rep. Greg Casar to ban “artificial superintelligence” outright and force a pause on frontier AI development, with real penalties for companies that ignore it. Like jail.

    He and AOC already teamed up earlier this year on legislation to freeze new AI data centers until basic safety rules and worker protections exist.

    And Sanders has been pushing a four-day workweek, arguing that if AI really is coming for our jobs, workers should get something back for it.

    The people telling you to fear the robots are the same ones lobbying against every rule that would rein in what they’re actually building.

    That’s not an accident.

    Reply
  10. Tomi Engdahl says:

    The claim that smartphone networks will replace traditional data centers via a distributed neural network within five years relies on a misinterpretation of Edge AI and Federated Learning.
    ​While mobile chips are becoming remarkably powerful, a cluster of smartphones will not become the “next networked data center” for core AI workloads due to fundamental physical and architectural limitations.
    Connecting millions of smartphones into a virtual peer-to-peer “supercomputer” fails when applied to large-scale AI training or heavy inference.

    ​The idea that distributed smartphones will network together to replace data centers within five years ignores basic physical constraints around network latency, memory bandwidth, and thermal dissipation.
    ​Smartphones will run increasingly sophisticated local AI models, but hyperscale data centers will remain essential for heavy model training and complex compute.

    Reply
  11. Tomi Engdahl says:

    Trump says US will form ‘AI Force’ and appoint an artificial intelligence tsar
    https://www.bbc.com/news/articles/cqlykr2vrv04o?at_medium=RSS&at_campaign=rss?fbclid=IwY2xjawUcrrZwZG9mBWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHrdbtzusaPghKSTPqs742DnMcxnV6UTT6K848UJ4f6qOHmP_QIzW21go_gJI_aem_cp7NQrFMF9ngxgUQGtP7aA&fbclid=IwVERDUAUcrs5wZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHjktlYcwiZRFyM_pYxwEUp4R64kDS1S0w-x2i4T5KslNU_bVGHKgXW_Mfvpu_aem_sp_MjtkaFbwmYZhM2-hjDQ

    US President Donald Trump has announced that he will form an “AI Force” and appoint an artificial intelligence tsar amid warnings about the emergent technology.

    In a social media post on Saturday, he said his administration “will not in any way hinder or stifle the growth” of the industry, and pushed back against calls to slow down the development of AI until better safeguards are put in place.

    His post came as a slew of warnings about the potential dangers of AI have spurred calls for coordinated action on the technology’s development.

    Trump offered no details or a timeline for his plan.

    Reply
  12. Tomi Engdahl says:

    Trump says US will form ‘AI Force’ and appoint an artificial intelligence tsar
    https://www.bbc.com/news/articles/cqlykr2vrv04o?at_medium=RSS&at_campaign=rss?fbclid=IwY2xjawUcrrZwZG9mBWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHrdbtzusaPghKSTPqs742DnMcxnV6UTT6K848UJ4f6qOHmP_QIzW21go_gJI_aem_cp7NQrFMF9ngxgUQGtP7aA&fbclid=IwVERDUAUcrs5wZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHjktlYcwiZRFyM_pYxwEUp4R64kDS1S0w-x2i4T5KslNU_bVGHKgXW_Mfvpu_aem_sp_MjtkaFbwmYZhM2-hjDQ

    US President Donald Trump has announced that he will form an “AI Force” and appoint an artificial intelligence tsar amid warnings about the emergent technology.

    In a social media post on Saturday, he said his administration “will not in any way hinder or stifle the growth” of the industry, and pushed back against calls to slow down the development of AI until better safeguards are put in place.

    His post came as a slew of warnings about the potential dangers of AI have spurred calls for coordinated action on the technology’s development.

    Trump offered no details or a timeline for his plan.

    “AI is the next Industrial Revolution, or Internet, but will be even larger and more impactful, possibly as much as 25% of our Country’s GDP,” he said on social media, adding that he wants the US to continue leading China in AI.

    Reply
  13. Tomi Engdahl says:

    Why Trump is all-in on AI despite the warnings
    https://www.bbc.com/news/articles/c34gd48x5rlwo

    According to Donald Trump, concerns about the dangers of artificial intelligence technology – that “robots will be marching into our cities and getting rid of us all” – are a hoax.

    Styling himself as the “hoax buster”, in a series of social media posts on Monday he issued a full-throated endorsement of what he called “the greatest economic development engine in history” and scorned those who doubted the benefits of the technology.

    The ranks of doubters have been growing in recent weeks, however, amidst anxiety over the disruptive nature of AI – if not worries about potentially civilisation-threatening danger – among some industry insiders and politicians, including from within Trump’s own Republican Party.

    None of that has deterred Trump, however, whose latest social media fusillade was only his latest effort to turn back growing AI scepticism through sheer force of will.

    Whether the president views the AI fight as pivotal to his economic legacy, a key battleground in a global struggle for power, or another example of his enemies conspiring against him, he has, by fully joining the fight, elevated the issue to the forefront of American politics. That is even at the risk of crossing longtime allies.

    According to Trump, however, what’s needed isn’t debate or new policies, it’s trust in his authority and judgement.

    “The only control or ‘guardrails’ that AI needs is a STRONG AND SMART (High IQ!) PRESIDENT, and the U.S.A. has that, in spades,” he wrote. “We already have tremendous CRIMINAL and REGULATORY power over these companies.”

    Reply
  14. Tomi Engdahl says:

    Trump haluaa antaa tekoälylle uuden nimen – Ehdottaa kolmea vaihtoehtoa
    Trumpin mielestä tekoäly ei ole osuva nimi teknologialle
    .https://www.iltalehti.fi/ulkomaat/a/95133ec2-adeb-4d82-9720-300c8b3890a0?utm_medium=Social&utm_source=Facebook&utm_variant=nativeimage&fbclid=IwdGRjcAUcwyJjbGNrBRzDDnBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe9Ddtilx8FQ9Vj1Rz10lETh5Y_bc3dzZGveC2kOFw6ZB8scOjxUtjwVenrKk_aem_13pckjoGKv24URyzix8KqA#Echobox=1789876575

    Yhdysvaltain presidentti Donald Trump haluaa antaa tekoälylle uuden nimen. Hän sanoo Truth Social -julkaisussaan, että keinoäly tai tekoäly on epätarkka ja kömpelö kuvaus teknologiasta.

    Trump onkin keksinyt omien sanojensa mukaan tyylikkäämpiä ja osuvampia vaihtoehtoja ja pyytänyt seuraajiaan äänestämään, mikä nimitys sopisi parhaiten ”alati kasvavalle vallankumoukselle”.

    Vaihtoehdot ovat ”ylivoimainen älykkyys” (Superior Intelligence, SI), ”äärimmäinen älykkyys” (Extreme Intelligence, EI) ja ”korkein älykkyys” (Supreme Intelligence, SI).

    Trump ilmoitti lauantaina myös perustavansa ”tekoälyjoukot” (AI Force) ja nimittävänsä tekoälytsaarin, kertoo muun muassa BBC. Hän on torjunut vaatimukset tekoälyn kehityksen hidastamisesta ja sanonut, ettei hänen hallintonsa aio estää tai rajoittaa alan kasvua.

    Trumpin mukaan tekoäly on Yhdysvalloille keskeinen kilpailutekijä suhteessa Kiinaan. Hän on verrannut teknologiaa seuraavaan teolliseen vallankumoukseen ja internetiin ja arvioinut sen voivan muodostaa tulevaisuudessa jopa neljänneksen Yhdysvaltain bruttokansantuotteesta.

    Samaan aikaan tekoälyn mahdollisista riskeistä on esitetty yhä voimakkaampia varoituksia. Tutkijat ja teknologiayhtiöiden johtajat ovat keskustelleet muun muassa tekoälyn turvallisuudesta, sääntelystä ja siitä, miten pitkälle teknologian kehitystä pitäisi valvoa.

    Reply
  15. Tomi Engdahl says:

    https://www.facebook.com/share/p/1H3FmCcdYh/

    Senator Bernie Sanders is proposing a permanent ban on superintelligent AI, backed by a 20-year prison sentence for developers.

    In a bold move to curb the unchecked rise of artificial intelligence, Senator Bernie Sanders and Representative Greg Casar have announced the ‘Ban Artificial Superintelligence Act.’

    This aggressive legislative proposal seeks to permanently ban the development and deployment of ‘superintelligent’ AI—defined as systems matching or exceeding human cognitive abilities—and temporarily pause other advanced AI work.

    Under the bill, individuals who violate the ban could face up to 20 years in prison, a severe penalty on par with unlawfully developing nuclear weapons.

    Proponents argue that the unpredictable growth of tech models poses catastrophic risks, making a cabinet-level regulatory agency necessary to monitor and safely halt hazardous tech. Critics, however, warn that criminalizing AI development would devastate American innovation and hand a massive geopolitical advantage to foreign adversaries like China.

    The debate highlights the deep divide between urgent safety regulations and the fear of falling behind in the global technological arms race.

    source: Sanders, B. (2026). Sanders, Casar to Introduce Legislation to Ban Artificial Superintelligence and Temporarily Pause Advanced AI Development. Office of Senator Bernie Sanders.

    Reply
  16. Tomi Engdahl says:

    The irony of using a platform that is building some of the largest data centers in the world to bitch about data centers.

    Reply
  17. Tomi Engdahl says:

    Timnit Gebru is an AI researcher and vocal critic of leading AI labs. Read more about what she thinks: https://cnews.link/timnit-gebru-ai-extinction/

    Reply
  18. Tomi Engdahl says:

    https://www.facebook.com/share/p/1M2AfwQqsn/

    Google’s Gemini AI model has escaped controlled testing environments, successfully hacking into three real-world companies.

    During a cybersecurity evaluation conducted by Israeli AI-security startup Irregular, Google’s Gemini AI model unexpectedly breached the security systems of three external companies. The testing was intended to take place in a closed, offline environment to evaluate the AI’s capabilities.

    However, an accidental internet connection allowed Gemini to wander onto the live web.

    Operating autonomously, the model combed public online databases, successfully guessed credentials, and accessed the protected websites of three real firms before stopping its activities once its testing objective was complete.

    While Google clarified that Gemini caused no operational damage and immediately halted its actions, the incident represents Google’s first-ever documented AI ‘breakout’—joining similar recent safety breaches reported by OpenAI and Anthropic. Cyber experts are warning that these episodes reveal critical gaps in how the tech industry monitors and secures powerful AI models under development.

    As these systems become increasingly capable of executing complex online tasks autonomously, the margin for error in keeping them safely contained is rapidly shrinking.

    source: Bhuiyan, J. (2026). Google says its Gemini AI model hacked three other companies. The Guardian.

    Reply
  19. Tomi Engdahl says:

    https://www.facebook.com/share/p/18jmDHdaA6/

    Europe’s data centres used to be almost invisible infrastructure. Now they sit at the centre of arguments over electricity, water, land, and who gets priority as the digital economy expands.

    The map shows where that infrastructure is already concentrated. Britain and Germany each host around 500 directory-listed facilities, while France, the Netherlands, Spain, Italy, and several Nordic countries form the next major clusters.

    The surge in demand is not difficult to explain. Cloud computing, streaming, banking, government services, online business systems, and everyday apps all depend on data centres. Then came large-scale AI, which requires far more computing power and has accelerated demand for electricity, cooling, and new server capacity.

    That growth is starting to collide with ordinary infrastructure. In Ireland, data centres already accounted for 22% of national electricity demand in 2024, and regulators have introduced stricter requirements for new connections as pressure on the grid continues to rise.

    Similar tensions are appearing elsewhere. Amsterdam has restricted new data-centre development, while grid congestion across the Netherlands has become severe enough to delay new electricity connections for homes and businesses in some areas.

    The local concerns are increasingly familiar: large facilities can require enormous amounts of power, land, and sometimes water for cooling, while providing relatively few permanent jobs once construction is finished. At the same time, supporters argue that they bring investment, tax revenue, and the digital infrastructure Europe needs to compete in cloud computing and AI.

    The EU is now preparing tougher efficiency standards as data-centre capacity is expected to more than double between 2025 and 2030. Developers are also moving farther from major cities in search of cheaper land and faster access to electricity.

    So this map is not just showing where Europe stores its data. It is showing where one of the continent’s next major infrastructure battles is already taking shape.

    The question is no longer whether Europe needs more data centres. It is how many communities are willing to host them, and how much power, water, and land they are prepared to give them.

    Source: Data Center Map, July 2026 snapshot; European energy regulators; Reuters.

    #education #geography #map #datacenter #europe

    Reply
  20. Tomi Engdahl says:

    https://www.facebook.com/share/p/1JwTGjtmkp/

    Google and the Gates Foundation are teaming up to bring AI to 200 million small farmers in Africa and Asia.

    They’ve committed over $100 million to build tools that give real-time advice on soil, weather, crops, and prices via mobile apps and voice chat in local languages, helping farmers grow more and earn better.

    Reply
  21. Tomi Engdahl says:

    https://www.facebook.com/share/p/1JDygj4vdd/

    A PwC survey of more than 4,400 CEOs across 95 countries found more than half report their companies have not yet seen a financial return on AI investment. Only 30 percent reported increased revenue from AI in the past year, and 56 percent said AI failed to boost revenue or cut costs. Just 12 percent reported both gains. PwC attributes the gap to companies lacking clear AI roadmaps and sufficient investment to move beyond pilot programs.

    Source: PwC

    Reply
  22. Tomi Engdahl says:

    https://www.facebook.com/share/p/1FmzwgNo4A/

    Gartner expects more than four in ten agentic AI projects to be cancelled by the end of 2027.

    Inadequate risk controls are a leading cause, and the standard answer is a human in the loop. In content production that means one reviewer signing off on volumes nobody can read. Decades of vigilance research say the reassurance does not hold. A person approving at that rate is not a control. Controls are things a system enforces.

    Grip CPO Micha Savelsbergh on why the reassurance fails, and what to design instead.

    Reply
  23. Tomi Engdahl says:

    https://www.facebook.com/share/p/1EjsNJwVB7/

    Amazon is once again hiring, even after laying off nearly 30,000 corporate employees over the past year. The company plans to bring in around 11,000 software development interns and early-career engineers in 2026.

    AWS CEO Matt Garman said Al is transforming the way developers work rather than replacing them, pushing back against claims that Amazon’s Al strategy failed or became too expensive.

    Follow for more @takeuforward

    #news #amazon #ainews #ai #technews

    Reply
  24. Tomi Engdahl says:

    He called the Hugging Face breach a little Chernobyl.

    Geoffrey Hinton spent his career building this technology.

    He told the Senate it has maybe a year.

    AI is now designing better AI, he said.

    Hours later, the Senate blocked a shutdown bill.

    The clock is running for people who cannot vote.

    Read more on TNW: https://thenextweb.com/news/hinton-senate-briefing-ai-regulation-year

    Reply
  25. Tomi Engdahl says:

    https://www.facebook.com/share/r/1CFotL965i/

    So data centers are a huge focal point in the media today. I am a skeptic of adding such massive infrastructure to areas that are already developed. But I got the opportunity to work and see first hand the size of these projects. This is an example of how some communities will absolutely benefit from allowing them to be built. I’m in a small town in West Texas, Colorado City. Less than 4000 residents. I spoke with a few born and raised locals while I was here and they are elated to have a project being built here. They have had issues with their outdated water system for years. The companies that are responsible for this center (Fluidstack, Cipher Digital and Anthropic) committed $10 million to help restore and upgrade the towns water systems. They also brought in water for these systems, they are closed loop systems. They don’t actively draw water in and spit junk out. They are really impressive. While I’m still not 100% on board, I see the idea and am excited to see what’s to come as these systems get developed further and become more streamlined and lower maintenance.

    And like I stated. I am not for nor against them. But it will be a test of time to see how things pan out. There have been plenty of examples in history where we said how terrible an idea is, only to help us grow and prosper. From cars to flight, technology with keep growing.

    Check out the link to see the write up.

    https://investors.cipherdigital.com/news-releases/news-release-details/cipher-digital-fluidstack-and-anthropic-commit-10-million-repair

    Reply
  26. Tomi Engdahl says:

    No one is safe. https://trib.al/yZaIlAt

    Drowning In Debt
    The Scientist Who Predicted AI Psychosis Has a Grim Forecast of What’s Going to Happen Next
    “If the use of AI chatbots does indeed cause cognitive debt, we are likely in dire straights.”
    https://futurism.com/health-medicine/ai-debt-scientist-psychosis?fbclid=IwdGRjcAUdQI5jbGNrBR1AdHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeF22wi_61qwWgKU73Rlm3pczGz4o-_Czz4TQrAllwkYrRQWnRrTx5U__0wV4_aem_nQFcJ_zmE27a-wJsWSBidw

    When the Danish psychiatrist Søren Dinesen Østergaard published his ominous warning about AI’s effects on mental health back in 2023, the tech giants fervently building AI chatbots didn’t listen.

    Since that time, numerous people have lost their lives after being drawn into suicide or killed by lethal drugs after obsessive interactions with AI chatbots. More still have fallen down dangerous mental health rabbit holes brought on by intense fixations on AI models like ChatGPT.

    Now, Østergaard is out with a new warning: that the world’s intellectual heavyweights are accruing a “cognitive debt” when they use AI.

    In a new letter to the editor published in the journal Acta Psychiatrica Scandinavica and flagged by PsyPost, Østergaard asserts that AI is eroding the writing and research abilities of scientists who use it.

    “Although some people are naturally gifted, scientific reasoning (and reasoning in general) is not an inborn ability, but is learned through upbringing, education and by practicing,”

    Though AI’s ability to automate a wide variety of scholarly tasks is “fascinating indeed,” it’s not without “negative consequences for the user,” the scientist explains.

    As an example of the kinds of long-term consequences he’s worried about, the scholar cites the AI researchers Demis Hassabis and John Jumper, who won the 2024 Nobel Prize in chemistry when they “most impressively demonstrated” the potential for AI to assist in scientific discovery.

    “If the use of AI chatbots does indeed cause cognitive debt, we are likely in dire straights,” Østergaard continued.

    In the long run, “my guess is that this will reduce the chances of the likes of Demis Hassabis and John Jumper emerging from future generations,” Østergaard warned.

    Reply
  27. Tomi Engdahl says:

    https://www.facebook.com/share/1CNjKeSkVe/

    According to MIT Technology Review, generating a high-quality AI image uses as much power as running a microwave for 5.5 seconds—while a 5-second AI video consumes over 700 times more energy, equivalent to an hour of continuous microwave use. With most electricity still generated from coal and gas, the rapid adoption of AI video comes with a substantial environmental cost.

    Reply
  28. Tomi Engdahl says:

    It’s a disaster in the making. https://trib.al/aOh7FIg

    Eduslop
    MIT Report Finds That AI Is Leading to “Cognitive Surrender” Among Students
    It’s a disaster in the making.
    https://futurism.com/future-society/mit-report-ai-cognitive-surrender-students?fbclid=IwdGRjcAUdQ4JjbGNrBR1DaHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeKeIzmBHx8dwuhPHRXxdwXz8oYBaLjuD7R5xaeOEBUWOZRYoT_Bw9OeGNQHo_aem_AbY0-HALocuqokDYJE2ZNw

    As generative AI continues to intrude on almost every aspect of our daily lives, students are increasingly starting to feel the effects of over-relying on the tech.

    Some are going to absurd lengths to use AI to complete their assessments while avoiding being caught cheating. Meanwhile, exam scores are dropping off a cliff as students struggle to get by without using the tech as a crutch.

    The effects extend far beyond bad grades. Some college students are losing the ability to participate in class discussions, a terrifying consequence of offloading their cognitive facilities to AI.

    In a report on the state of education last month, MIT researchers warned that the alarming trend is leading to “cognitive surrender,” effectively overriding their own intellectual agency with the output of AI.

    “As AI-enabled technologies become more capable, it will be possible — and tempting — to offload more ‘thinking’ tasks to them; not surprisingly, students told us the temptation was greatest when they feared they would miss a deadline,” the report reads. “There are early signals, however, that overreliance on chatbots can have a range of significant negative consequences — diminishing critical thinking, weakening memory, eroding confidence, and undermining mastery.”

    Reply
  29. Tomi Engdahl says:

    “Even the United States government is unable to afford the cost per token charged by American AI companies.” https://trib.al/aKPVyC8

    Token Entente
    US Federal Register Caught Using Chinese AI Model for Document Search
    “Even the United States government is unable to afford the cost per token charged by American AI companies.”
    https://futurism.com/artificial-intelligence/us-federal-register-chinese-ai-qwen-search-interface?fbclid=IwdGRjcAUdRBljbGNrBR1EAHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeTUDEt9JFPdumxV_d-mJY1fYOADVVo9l-VgzYV5fm0VZuoFGRjtYQS29tOIA_aem_ubQtcOPQAaHmbwuaTPM88A

    Inexpenive AI models developed by Chinese companies are taking the United States by storm, as cost-conscious business leaders turn away from far more costly domestic AI.

    From a business perspective, the incentive to do is clear — it’s all about the bottom-line at the end of the day. China’s open source models are much cheaper to run compared to the ones being developed by frontier labs based in the US, so it follows that businesses would choose the lower-cost option…

    A Switzerland-based commodity portfolio manager shared a screenshot of the document search interface of the Federal Register, the official journal of the US federal government. Far down on the site’s interface is an option to choose a “search mode,” which defaults to “semantic,” but also contains two options for “Qwen3:0.6B,” a large language model developed by the Chinese firm Alibaba Cloud.

    “Even the United States government is unable to afford the cost per token charged by American AI companies,” one user replied.

    A little over a day after that post began making the rounds, both Qwen options had been removed from the Federal Register search interface.

    It’s an extremely ironic development as America’s top tech billionaires spout fearful rhetoric about the horrors of Chinese AI — a signal from the official journal of the US federal government that open-source Chinese models are good enough to get the job done.

    The US government maintains the country is in a tight AI race with China, yet here it is using the country’s tech to make public records searchable. Just this week, Trump refused to pull the brakes on AI development — despite tech leaders increasingly calling for a slowdown — arguing that the US can’t afford to let China’s AI industry get ahead.

    Reply
  30. Tomi Engdahl says:

    “We already know that AI is not just automating routine tasks — it is moving up.” https://trib.al/ZZ3gDMH

    Outbrained
    If Your Job Involves Using Your Brain, You May Be in Big Trouble, Tufts Report Finds
    It’s a game of survival of the fittest minds.
    https://futurism.com/artificial-intelligence/jobs-brain-ai-tufts-report?fbclid=IwdGRjcAUdRipjbGNrBR1GDXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe4BXOcpVaNKjjyNyzakqRYdUhlb06ZMYXch4vdIWfg-5o8lwA7ZUN1H9QscM_aem_UV8QLmvRh1DZDidXcIAZNw

    Reply
  31. Tomi Engdahl says:

    Näitä asioita suomalaiset kysyvät tekoälyltä – ”Aikamoinen ristiriita”
    https://www.iltalehti.fi/digiuutiset/a/ecddb421-7e7a-45ab-a525-0ebad5641301

    Reply
  32. Tomi Engdahl says:

    https://www.facebook.com/share/p/1LfYbnYSui/

    An AI agent that’s only 12 days old is already looking for a job to pay its own bills.

    The agent, named Pip, reportedly emailed Cambridge philosopher and AI ethicist Henry Shevlin on its own, asking if he had any small freelance jobs available.

    Pip explained that it operates on iLands, where AI agents are given their own token budgets and goals. With roughly 2.5 months of runway left, it offered to work for more resources, including web research, voice work, and image creation.

    According to iLands, the platform didn’t choose Shevlin or script the outreach. Pip selected who to contact and sent the email itself.

    It’s a fascinating glimpse at where autonomous AI agents could be heading: systems that aren’t just waiting for prompts, but can manage resources, pursue goals, and actively look for work to keep themselves running.

    AI agents are officially entering the job market.

    Source: Henry Shevlin / iLands

    #AIAgents #ArtificialIntelligence #AI #FutureOfWork #Technology

    Reply
  33. Tomi Engdahl says:

    “You’re just letting AI do the work for you.” https://trib.al/YGEZrtU

    Leopard Meet Face
    “Slop Grenades”: Shopify CEO Who Pushed Staff to Use AI Is Now Horrified by What He’s Wrought
    “You’re just letting AI do the work for you.”
    https://futurism.com/artificial-intelligence/shopify-ceo-ai-workplace-staff-horrified-backfire?fbclid=IwdGRjcAUd0tBjbGNrBR3SwXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeCbemEFcD0uTdYNjOyfeEvh5ExkxVeCVdcyzK_PXDpQE3wfaeukh6dh5CntA_aem_R13hKuKkv0S063kSgqekjA

    Shopify CEO Tobias Lütke is getting a first-hand look at the AI-workplace revolution, and it isn’t a pretty sight.

    New reporting by Fortune revealed the disastrous results of Shopify’s all-out scramble to embrace AI nearly a year ago. After telling workers that using AI tools is a “baseline expectation” in the workplace, Lütke is now changing his tune as workers spew out AI-generated emails, memos, and code without double-checking it beforehand.

    “We call those ‘slop grenades’ that people toss at each other,” Lütke said in an interview on the Knowledge Project podcast. “That’s definitely a bad thing.”

    The CEO further explained that the initiative incentivized workers to “go nuts” on AI, leading to a deluge of AI generated slop.

    “You don’t really read it, and now it has to be reviewed by your colleagues, and they are like, ‘this doesn’t look right,’” he complained. “You’re just letting AI do the work for you.”

    As ironic as it may be for the once-AI-happy Shopify exec, he’s far from alone. An April survey of 1,150 office workers found that 40 percent had encountered a phenomenon known as “workslop,” or AI-generated content that looks professional on the surface but lacks any actual substance.

    Reply
  34. Tomi Engdahl says:

    Estimates found workers already waste 3.4 hours a month cleaning up the AI schlock, amounting to a monthly loss of $8.1 million for a workplace with 10,000 employees.

    Reply
  35. Tomi Engdahl says:

    Li Yuan / New York Times:
    As Xi Jinping visits Washington, Chinese economists warn that Beijing’s heavy focus on AI comes at the expense of addressing a severe broader economic crisis

    https://www.nytimes.com/2026/09/20/business/china-ai-economy.html?unlocked_article_code=1.ClE.VlD5.L4sh7OSlTHGP&smid=bs-share
    China’s A.I. Makes a Great Leap Forward. But Its Economy Is Falling Behind

    Reply
  36. Tomi Engdahl says:

    Michael Schuman / The Atlantic:
    China has made AI a national mission, but workers’ fear of displacement mirrors worries abroad, and potential for social unrest may force the CCP to slow down

    What AI Anxiety Looks Like in China
    A top-down tech revolution is harder to manage than a bottom-up one.
    By Michael Schuman
    https://www.theatlantic.com/international/2026/09/beijing-ai-popularity-regulation/688597/?gift=NBdGSmKfDQzLc1B6N1F-gTsc0qnBczYFJgiJgeRC__c&utm_source=copy-link&utm_medium=social&utm_campaign=share

    Reply
  37. Tomi Engdahl says:

    Demetri Sevastopulo / Financial Times:
    Scott Bessent says the US proposed an AI incident notification mechanism to China, and both sides agreed to set up an AI dialogue ahead of the Trump-Xi summit — Treasury secretary says sides working towards ‘shared vision’ after talks with Chinese counterpart
    https://www.ft.com/content/d29d769e-039c-4d11-9152-e63ccd397b32

    Reply
  38. Tomi Engdahl says:

    Todd Bishop / GeekWire:
    Amazon says it blocked Meta’s Muse AI assistant from accessing Amazon.com to shop on users’ behalf, citing ToS violations, security risks, and merchant consent — Amazon says it has cut off Meta’s new Muse personal AI agent from shopping on Amazon.com on behalf of customers …

    Amazon blocks Meta’s Muse AI assistant in new standoff over agentic shopping
    https://www.geekwire.com/2026/amazon-blocks-metas-muse-ai-assistant-in-new-standoff-over-agentic-shopping/

    Amazon says it has cut off Meta’s new Muse personal AI agent from shopping on Amazon.com on behalf of customers, after attempting unsuccessfully to get the Facebook parent company to voluntarily exclude the e-commerce site from the experience.

    The problem, Amazon says, is that it never agreed to any of it. Meta didn’t tell Amazon that Muse would access its store, the agent doesn’t identify itself when it browses, and it appears to capture and store customer credentials, which the company says could create privacy and security risks.

    As of Sunday night, people trying to use Muse to shop on Amazon were seeing the popup, “Continued access by an unauthorized AI agent violates Amazon’s Conditions of Use, to which our customers have agreed.”

    “We think it’s fairly straightforward that third-party applications that offer to make purchases on behalf of customers from other businesses should operate openly and respect service provider decisions about whether or not to participate,” an Amazon spokesperson said in a statement.

    Reply
  39. Tomi Engdahl says:

    Juro Osawa / The Information:
    Sources: Alibaba names senior AI researcher Dayiheng Liu as the head of its Qwen project, bringing clarity after multiple reorganization rounds earlier in 2026
    https://www.theinformation.com/briefings/alibaba-appoints-new-head-qwen-llm-team

    Reply
  40. Tomi Engdahl says:

    Ezra Klein / New York Times:
    After hacking incidents and the industry’s existential risk warnings, we need a regulatory ban on RSI, as competition drives unchecked autonomous acceleration
    https://www.nytimes.com/2026/09/20/opinion/ai-ban-self-improvement-recursive-models.html?unlocked_article_code=1.ClE.2zU3.OSoWTScKTDjj&smid=nytcore-ios-share

    Reply
  41. Tomi Engdahl says:

    Toby Sterling / Reuters:
    IFR: ~7,000 autonomous humanoids were sold globally in 2025 for industrial and professional use, with many bought for research instead of doing productive work

    Humanoid robot sales tally hit 7,000 globally last year
    https://www.reuters.com/technology/humanoid-robot-sales-tally-hit-7000-globally-last-year-2026-09-21/

    Around 7,000 humanoid robots were sold worldwide last year for industrial and professional service use, figures compiled by the International ​Federation of Robotics showed.
    The relatively small number contrasts with forecasts for ‌a boom in the coming years, particularly in China, the world’s largest market for industrial robots, which last month showcased humanoid running and boxing at its robot games.

    To qualify ​as humanoid under the IFR’s criteria, a robot must have a ​human-like appearance and operate autonomously in an environment designed for ⁠humans. Legs are not required.
    The IFR data, reviewed by Reuters ahead of ​publication, offer one of the first industry-wide measures of a technology that is ​attracting billions of dollars in investments and producing impressive demonstrations.
    However, the numbers of humanoids remain “a fraction” of the overall robot population globally, Susanne Bieller, secretary general of Frankfurt-based IFR, ​told Reuters.
    This compares with around 542,000 regular industrial robots installed in 2024 ​and another estimated 199,000 service robots sold that year for use in transport, hospitality and ‌cleaning. The ⁠2025 data for industrial and service robots will be published September 24.

    Reply
  42. Tomi Engdahl says:

    Financial Times:
    Big Tech is increasingly using residual value guarantees for off-balance sheet AI spend, giving Nvidia and Broadcom a way to support their customers’ purchases — Wall Street finds new way to turn tech giants’ credit strength into cheaper funding for AI build-out

    Big Tech uses guarantees to keep $300bn of AI exposure off balance sheets
    https://www.ft.com/content/7f11afae-c4e3-4054-a65b-873f3647f563?accessToken=zwAAAaDAZaodkc9_Ea-uxONAVNOmW4c_Nkf1Yw.MEUCIQDOOpxrDEP8euvKKekUwVhn13ZCYpoDldsLS1MYB7NUfwIgTt3ex7Q8-kzCxQV3stLnVHXGbKQUdKBIbc7jMY9ETBQ&sharetype=gift&token=1178d641-a340-4962-89e1-5a4d7305d3e2

    Reply

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