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:
“The public has been asked to accept a significant expansion of surveillance based on the promise that it would dramatically improve public safety.” https://trib.al/9rgrF27
Cops And Donuts
Flock Surveillance Cameras Are Actually Horrible for Fighting Crime, FBI Data Shows
“The public has been asked to accept a significant expansion of surveillance based on the promise that it would dramatically improve public safety.”
https://futurism.com/future-society/flock-surveillance-atlanta-fbi-data-crime-case-solve?fbclid=IwdGRjcATbZa5jbGNrBNtlS3Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeNFxrtzTsAEvrLul8omFxyQGWOpEohxWVSBlJ3i6Ze6R2pWg3Zgxu0pavu9o_aem_Jk0Fdb42v0edHN7kMbF90Q
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Tomi Engdahl says:
https://the-decoder.com/openai-announces-its-next-major-model-astra-by-dropping-ten-previously-unsolved-math-solutions/
Tomi Engdahl says:
https://www.independent.co.uk/tech/openai-ai-kill-switch-chatgpt-bill-b3020779.html?fbclid=Iwb21leATQuztjbGNrBNC7OHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEegd4CuqJogvkptYMawY6MRteeGyazhCajKyParPn2A7xtD4–PZdlqD2cz0s_aem_tSBN8BBM4JRP9RcTAOs6GA
Tomi Engdahl says:
https://muropaketti.com/tietotekniikka/tietotekniikkauutiset/google-julkaisi-kolme-uutta-gemini-tekoalymallia-joista-yksi-keskittyy-kyberturvallisuuteen/
Tomi Engdahl says:
https://mobiili.fi/2026/07/24/chatgpt-tietokonesovellus-paivittyi-aanitilalla-mahdollistaa-tehtavien-ohjaamisen-puheella/
Tomi Engdahl says:
https://mobiili.fi/2026/07/23/google-laajensi-geminin-tehtavaautomaatioiden-sovellustukea-merkittavasti-samsungin-uudet-taittuvat-puhelimet-saivat-ensimmaisena-gemini-nano-4n/
Tomi Engdahl says:
https://www.geeky-gadgets.com/claude-opus-5-vs-fable-5-2/
Tomi Engdahl says:
https://www.datadoghq.com/event/aieng-livestream-2026/?utm_source=google&utm_medium=paid-social&utm_campaign=dg-dgwebinar-livestream-webinar-202607aiengineeringlivestream-ai-aiob-ww-en-701vy00000rkrjnya0-lal&utm_content=202607aiengineeringlivestream-en-combinedimg-learnmorecta&igaag=199312098158&igaat=&igacm=24039259198&igacr=816944235723&igakw=&igamt=&igant=&utm_campaignid=24039259198&utm_adgroupid=199312098158&gad_source=1&gad_campaignid=24039259198&gbraid=0AAAAADFY9NlQ7PJ0QWJd46D7YETnVl1EY&gclid=CjwKCAjw7KvTBhA6EiwAWnutYU5sqv9D46RkMaxCO0Yrf8v2AVa7Fp2KiV7C87Xo7UfO29MUEoDnjhoC-yQQAvD_BwE
Tomi Engdahl says:
https://dawn.fi/uutiset/2026/07/27/oikeus-google-ei-omista-hakutuloksiaan
Tomi Engdahl says:
https://www.404media.co/ai-companies-are-buying-tons-of-old-books-because-theyre-free-of-ai-slop/
Tomi Engdahl says:
https://www.cbsnews.com/news/humanoid-robots-imports-us-ban-china-national-security-concerns/?ftag=CNM-00-10aab6a&linkId=987483607&fbclid=Iwb21leATZTLZwZG9mBWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHt5ZEx3v8LvSAsFbupqeI7nOeUGVn6tnPb2CoeupHFS7jmGqKZfpTqkpvm9L_aem_Zb1Y2oZM_PSSqYWjpMW8tg
Tomi Engdahl says:
Here’s what Anthropic found when it turned Mythos loose on encryption algorithms
Claude Mythos exposed mathematical weaknesses in a post-quantum candidate and a simplified version of AES, marking a major breakthrough for AI-driven cryptanalysis.
https://cyberscoop.com/anthropic-claude-mythos-encryption-flaws-hawk-aes-pqc/
Tomi Engdahl says:
https://thenewstack.io/ai-code-security-platforms/
Tomi Engdahl says:
https://thehackernews.com/2026/07/anthropic-says-claude-mistook-open.html?m=1
https://www.independent.co.uk/tech/security/claude-anthropic-hack-chatgpt-openai-b3025256.html?fbclid=Iwb21leATZo6pjbGNrBNmjqHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeB1WdQqOUoANSysYUJeeQ_oQMMrvbpwJnfS5IIISnNRrz95VaH4MTLJnvNCs_aem_-V9YNdDn7fnJy037oKMtGw
Tomi Engdahl says:
https://digital-strategy.ec.europa.eu/fi/policies/eu-icons-labelling-ai-generated-content
Tomi Engdahl says:
https://www.404media.co/linkedin-introduces-a-seems-like-ai-slop-button/
Tomi Engdahl says:
Careful who you trust your billions of dollars with. https://trib.al/eGMkzae
AI Augury
A Prominent AI Investor Is Now Crumbling, in What Could Be a Sign of Things to Come
Careful who you trust your billions of dollar
https://futurism.com/artificial-intelligence/situational-awareness-ai-investor-crumbling?fbclid=IwdGRjcATcjZRjbGNrBNyNd3Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeKPMDX9T8E1B9_q3jTsalLEjf95oFjGAtFHHKFQ-RQjod4iLXf2A81ahdpMg_aem_veM_66Z_mSAZJ1juuron1w
Suddenly, things ain’t looking great for the AI industry. Or at least for the people pouring loads of money into it.
Situational Awareness, a much-hyped AI hedge-fund whose 24-year-old founder Leopold Aschenbrenner preached endless AI gains, basically imploded over this month amid a mass tech sell-off.
The Wall Street Journal reported that it’s now down 67 percent in July, forcing Aschenbrenner to desperately seek clients to buy its shares on the cheap to cover its losses.
“We let you down this month,” the fund wrote in a letter to clients, per the WSJ.
Aschenbrenner, a former OpenAI researcher who had zero investment experience before launching the fund, has been hailed as the “Nostradamus of AI.” He apparently didn’t predict his rapid reversal of fortunes, though.
The Financial Times reported that his fund returned 439 percent for the year through June, and was up 1,551 percent since its founding.
Then came July. According to CNBC, the fund assets reached a peak of $45 billion, before beginning a precipitous decline this month. Pretty much everything went against its way. Its commitments to AI infrastructure tanked when the likes of the semiconductor manufacturer SK Hynix dropped off a cliff. And it shorted software companies — which investors once feared would be outmoded by AI labs — like Adobe, which instead continued to steadily climb.
Other companies it invested in, including Sandisk, Micron, and CoreWave, are all down more than 35 percent this month, CNBC noted.
As the dominoes fell, Aschenbrenner sent a letter to investors to quell their fears, highlighting how well it had performed until this point. Boldly, he also said that the mass tech sell off was a “particularly good time to add funds,” the FT reported.
But when the assets kept tanking — and more money didn’t come in — Aschenbrenner started frantically calling investors trying to get them to sell assets or pour in fresh capital, according to the reporting. When it got even worse, his clients couldn’t reach him.
Tomi Engdahl says:
Bot Backfire
Microsoft CEO Warns That Companies Embracing AI Could Drive Themselves Out of Business
Double AI agents.
https://futurism.com/artificial-intelligence/microsoft-ceo-warns-ai-business?fbclid=IwVERDUATcjjJwZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHg1k4-DkSQwFNT-aRecFs3Q6TSo6tI3xv1qKAC_ptfp68JkbxTvviTcLyCi8_aem_eBSEt7MBmKeHsOg864dK3g
Tomi Engdahl says:
That is one of the most common—and understandable—misconceptions in modern discussions about AI.
While advanced language models can indeed hold convincing, human-like conversations, the Turing test does not measure self-awareness or consciousness.
Tomi Engdahl says:
IA = Another Indian
https://medium.com/@tahirbalarabe2/the-truth-behind-builder-ais-1-5b-failure-77817464897e
Tomi Engdahl says:
https://www.facebook.com/share/p/18sNrTcrd1/
The AI data center boom is facing a growing political backlash.
Across the United States, more states are scaling back—or reconsidering—the generous tax incentives that helped attract massive AI data centers.
For years, these tax breaks were designed to encourage investment and create jobs. Now, lawmakers are asking whether the public is getting enough in return.
Arizona has frozen new applications for its data center tax exemption program for three years, a move expected to save roughly $57 million while officials reassess the policy.
Illinois has paused new tax credits until stronger protections for electricity customers and water supplies are in place.
Massachusetts suspended its incentive program while it develops new safeguards covering energy use, water consumption, air pollution and noise.
Minnesota eliminated a major electricity sales-tax exemption for large data centers and introduced a new annual fee tied to each facility’s energy consumption.
Texas is requiring data centers to pay for their own grid connections instead of shifting those costs to residents. Governor Greg Abbott has also proposed gradually ending the state’s incentive programs.
Even states that continue supporting data centers are questioning the costs.
Virginia debated eliminating a tax exemption worth an estimated $1.6 billion per year, while Georgia is reevaluating incentives after projections suggested they could cost $2.5 billion in 2026.
Other states, including Connecticut, Georgia and Washington, are tightening eligibility rules so fewer future projects qualify for incentives.
The debate is no longer just about attracting investment.
It’s increasingly about who pays for the AI boom.
Supporters argue data centers bring billions of dollars in investment, construction jobs and local economic growth.
Critics counter that they often create relatively few permanent jobs while increasing electricity demand, water consumption and infrastructure costs that can ultimately fall on taxpayers and utility customers.
As AI infrastructure expands, more states appear to be asking the same question:
Should public subsidies continue if the public bears much of the cost?
Watch the full video to discover the hidden environmental cost of AI.
https://www.youtube.com/watch?v=I3ZYp4OT_mk&t=1s
Tomi Engdahl says:
As AI Expands, Erin Brockovich Taps Communities to Map Data Center Concerns
https://www.beautyofplanet.com/as-ai-expands-erin…/
Tomi Engdahl says:
https://www.facebook.com/share/p/1D4s1ZLiRX/
Data centers are going up across rural America, and folks cannot agree on whether that is good news.
The case for them is real. They bring jobs and tax revenue to counties that need both.
The worry is real, too, and some big names have joined it. Brad Paisley went after one proposed 50 yards from the Nashville Zoo, saying they have neither the power nor the water for it. Willie Nelson called them water thieving in an open letter about his own hometown in Texas. Tanya Tucker is fighting a related battle over power lines crossing ranch land.
More than 300 towns and counties have already passed bans or moratoriums.
Would you want one near you?
Tomi Engdahl says:
Many communities and policymakers are pushing back by demanding closed-loop (dry) cooling, strict reclaimed/greywater mandates, or denying permits outright when local utility and water reserves can’t handle the strain without risking public supply.
During the construction phase, a site might employ hundreds of local tradespeople. But once operational, a $1 billion facility usually requires only 30 to 50 permanent staff—mostly facilities engineers, security guards, and technicians.
Tomi Engdahl says:
https://www.facebook.com/share/p/191UHYogtB/
Willie Nelson is fighting for the little town he grew up in, and he is 93 years old.
Nelson posted an open letter about the data centers headed for Abbott, Texas, a farming town of fewer than 400 people about 24 miles north of Waco. He still keeps a home there with farmed land, and he wrote that he can still see stars at night.
The Texas Tribune reports as many as 56 data centers have been proposed across Central Texas.
This is nothing new for him. Nelson co-founded Farm Aid, which passed 40 years in 2025 and has raised more than $70 million for family farmers.
He has been standing in this same spot his whole life.
Tomi Engdahl says:
Brandolini’s law (or the bullshit asymmetry principle) is an Internet adage coined in 2013 by Italian programmer Alberto Brandolini.[1] It contrasts the considerable effort of debunking misinformation with the relative ease of creating it in the first place. The adage states:
The amount of energy needed to refute bullshit is an order of magnitude bigger than that needed to produce it.[1][2]
https://en.wikipedia.org/wiki/Brandolini%27s_law
Tomi Engdahl says:
https://modelthinkers.com/mental-model/bullshit-asymmetry-principle
Tomi Engdahl says:
Willie Nelson spoke out against data centers in a recent social media post after hundreds of data centers were announced to be coming to Texas.
“Let’s not allow our own demise or give up control over necessary resources in the U.S.” Nelson said. https://tinyurl.com/3sr5yhy2
Tomi Engdahl says:
These data centers are “the cloud” on your phone and computer.
Tomi Engdahl says:
Here’s the problem, 25-30 years ago most of us had slow dial up internet and frustrating download times for any kind of media. Now we are so spoiled and want our 4K video and streaming audio instantly at our fingertips and AI to do much of our searching & online work for us but don’t want the digital infrastructure that it requires.
Tomi Engdahl says:
I remember when those new garage sized computer things were going to replace all workers and destroy the environment. Same with this silly data centers hysteria by people that know nothing about them.
Tomi Engdahl says:
Stop using social media, stop using AI to do everything for you, stop using your filters…. You can’t complain about data centers when you are part of the reason they exist.
Tomi Engdahl says:
https://www.facebook.com/share/p/1A9XhWenD9/
Only 9 percent of US adults still think AI does more good than harm, according to a joint poll from Bentley University and Gallup. The share who say it does more harm than good rose from 31 percent in 2025 to 39 percent this year, even as the number of people calling themselves “somewhat or extremely knowledgeable” about the tech hit 70 percent, up 6 points since 2024.
The unease isn’t just American. A 2025 Stanford study found more than half of global respondents agreed that “products and services using artificial intelligence make me nervous,” up from 39 percent in 2022. Only 38 percent of US respondents said AI excites them, compared with 84 percent in China and 80 percent in Indonesia.
Derek Leben, a professor of ethics at Carnegie Mellon University’s Tepper School of Business, told Bloomberg the shift is turning personal. “The most obvious social effect is suspicion,” he said, pointing to a workplace phenomenon now called “AI suspicion,” where employees suspect coworkers of secretly using the tech to generate their work.
That friction is being amplified from the top: companies including Accenture and Starbucks now tie promotions or bonuses to AI usage, and one New York retail worker told Bloomberg her employer suspends the staff discount for workers who skip AI training.
The rifts are landing harder at home. Vanessa Walilko, a 43-year-old jewelry designer in Evanston, Illinois, told Bloomberg her cousin used AI to animate a photo of Walilko’s dead grandparents and said she’d “alived them” again.
“I was so disgusted by her marionetting their corpses,” Walilko said. Carla Milan, a 37-year-old public health professional in New York, put the broader frustration this way: “I hear people champion AI and I’m like, ‘sure, why don’t we all participate in our collective downfall?’”
It’s reshaping who people want to be with, too. In a Hily survey of 3,500 young Americans, 64 percent of Gen Z and 56 percent of millennials said they wouldn’t date someone who relies on AI for everyday decisions, and roughly the same share said they’d find a partner who never uses AI for personal decisions “extremely attractive.”
Tomi Engdahl says:
That claim is largely accurate regarding existing, operational big facilities, though the industry is currently in the middle of a sharp transition.
Historically, open-loop evaporative cooling became the industry default because evaporating water is drastically cheaper and requires less electricity than using massive, energy-hungry refrigeration compressors.
1. Where standard facilities stand today
The Majority Still Evaporate Water: Estimates show that over 50% to 60% of operational hyperscale data centers globally still rely on evaporative or hybrid water cooling. In these open systems, water is continuously sprayed over cooling towers to absorb heat and evaporate into the atmosphere, requiring millions of gallons of fresh water to be continually added to the system.
Air Cooling is Limited: Completely dry air cooling (using fans and zero water) exists, but traditional air cooling struggles when high-density chips generate intense heat in hot climates, forcing operators to fall back on water evaporation.
2. Why closed-loop systems haven’t been universal
Implementing closed-loop cooling—where fluid recirculates endlessly inside sealed pipes without evaporating—presents two major trade-offs for operators:
Higher Electricity Demand (PUE)
Higher Upfront Capital Cost
3. Why this balance is finally shifting
The claim that “very few use them” is accurate for the current building stock, but new AI builds are forcing a pivot for two reasons:
Physical Limits of Air/Evaporation: Modern AI chips (like NVIDIA’s dense GPU clusters) produce so much concentrated heat per rack that traditional air blowing or basic water towers physically cannot cool them effectively. They require direct-to-chip liquid loops or dielectric fluid immersion.
Regulatory & Public Pushback: Severe local water shortages and community opposition have pushed tech companies (such as Microsoft, Google, and specialized providers) to mandate zero-evaporative, closed-loop designs for next-generation builds.
Summary
The claim is true for the vast majority of existing facilities built over the last decade, which relied heavily on cheap, open evaporative cooling. However, growing power-density demands and public water scarcity concerns are making closed-loop systems the mandatory standard for new construction.
Tomi Engdahl says:
Deena Lamoureux Brandenburg
The massive, multi-billion-dollar industrial data centers being built today didn’t happen overnight—they evolved in two major waves.
Wave 1: The “Hyperscale Cloud” Era (2006 – Mid-2010s)
The shift from modest telecom server rooms to warehouse-sized campuses began around 2006 to 2011.
Wave 2: The “AI Hyper-Campus” Explosion (2022 – Present)
The current surge of mega-facilities—the ones causing widespread debate over water, land, and power—started rapidly in late 2022 following the public rollout of ChatGPT and generative AI models.
Tomi Engdahl says:
The bulk of the people using AI at a very high-level, are writing code with it, not “making decisions”.
Carl James But many ordinary people are having chats with Ai to flesh out their feelings and ask its advice. That’s probably what they meant by “everyday decisions”. It could mean decisions anywhere from job choices to moving, to what kind of person to marry, to making dinner. If a person uses it for a lot of decision making then it’s questionable how well they can think for themselves…. and who is running their lives, the human or Ai?
Not to condone or encourage any of that, but it’s hardly a new phenomena.
Plenty of people have always turned to oracles to help them make decisions. Tarot. I-Ching. Runes. Tea leaves. Biblical verse. Astrology. Political parties. Etc..
Not saying we shouldn’t question the ability of those people to think for themselves as well. Just pointing out that the problem isn’t new, nor is it confined to AI.
Tomi Engdahl says:
Things are so bad, you don’t even know its AI’s name. https://trib.al/MojyyYv
Hardly Knew Ye
Amazon Is Gutting Its AI Division After Sustained Failure
Wait, Amazon has AI models?
https://futurism.com/artificial-intelligence/amazon-ai-division-failure-nova?fbclid=IwdGRjcATdb1pjbGNrBN1vPnBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEea2fhnHTbDnoWvtr5szjTO87VkIovOMVgMt75UjZus7Z3nIZ9Sx5V0wfZmOE_aem_BunkhiD4zdNkeN_jez-R1Q
By now, you’d be hard pressed to find anyone who isn’t broadly familiar with the AI heavyweights and their flagship models. OpenAI has ChatGPT, Anthropic has Claude, Google has Gemini. But what does Amazon have?
Not a whole lot, it turns out. Unlike its competitors in the tech megacorp scene, Amazon’s standout AI model — organized under the name “Nova” — is about the farthest thing from a household name. And that’s not likely to change anytime soon, because the ecommerce giant is now gutting its in-house AI labs, Bloomberg reports.
Per the outlet, Amazon is scaling back the ambitions of most of its Nova AI models and reorganizing its AI development teams as part of an effort to narrow its focus on “highest priority” goals, after its power-hungry large language models turned out to be a bust.
Accordingly, the company has put most of its AI models on ice, Amazon insiders told Bloomberg. This includes its text-based Nova models, as well as video- and image-generating models, all of which have been placed in a state of “keep the lights on,” meaning they’re technically still supported, but only receive the bare minimum resources needed to sustain them.
Instead, labor and computing power are being diverted toward a singular “frontier-model effort” led by Pieter Abbeel, director of the Berkeley Robot Learning Lab whose robotics company Covariant was hoovered up by Amazon in 2024.
Amazon overhauls its AI strategy, winding down most flagship models
https://www.businessinsider.com/amazon-overhauls-ai-strategy-phasing-out-most-nova-models-2026-7?fbclid=IwVERDUATdb89wZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHiEbZIZZaFLAHWVLyyJj-N5ahCNjSimMfvTL8XPbnGUutj4iEZ2CKNjqKx46_aem_4RCS3VKJ8DlMw3YKRHpLeg
Amazon is overhauling its AI strategy, winding down many in-house models, reorganizing teams, and focusing engineers on a new strategy to compete at the frontier, according to people familiar with the matter.
The changes follow layoffs in Amazon’s Artificial General Intelligence, or AGI, organization last week and the shutdown of AGI Lab, a research group it created in 2024 after hiring most of the team behind AI startup Adept.
Tomi Engdahl says:
No, we’re not exaggerating – data centers REALLY sound like that
https://www.facebook.com/share/r/1bd9Uqwxsf/
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19116-paljonko-chatgpt-kysely-kuluttaa-kukaan-ei-kerro-tarkasti
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19117-fujitsu-haluaa-viedae-tekoaelyn-pois-pilottivaiheesta
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19121-suomen-5g-verkko-antaa-tekoaelylle-33-millisekunnin-etumatkan
Suomi nousee Ooklan uudessa 5G-vertailussa tekoälysovellusten kannalta kiinnostavaan kärkiryhmään. Perinteinen latausnopeus ei enää yksin kerro, kuinka hyvin mobiiliverkko palvelee tekoälyä. Ratkaisevampia mittareita ovat uplink, peruslatenssi, kuormituksen aikainen latenssi sekä yhteys pilvialustoihin, joissa suuri osa tekoälyn inferenssistä ajetaan.
Suomen vahvin luku on latenssi. Ooklan mittauksissa Suomen 5G-verkon multi-server-latenssi on 33,3 millisekuntia. Se nostaa Suomen koko 22 maan vertailussa neljänneksi Singaporen, Arabiemiraattien ja Malesian jälkeen. Euroopassa Suomi on tässä mittarissa kärjessä, edellä esimerkiksi Ruotsia, Norjaa, Saksaa ja Britanniaa.
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19131-tekoaelyagentti-voidaan-kaapata-projektitiedostolla
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19133-nokian-ai-radio-lupaa-kaksinkertaistaa-taajuuksien-kapasiteetin
Tomi Engdahl says:
https://etn.fi/index.php/tekniset-artikkelit/19134-tekoaely-muuttaa-elektroniikkajakelun-pelisaeaentoejae
Tomi Engdahl says:
https://etn.fi/index.php/tekniset-artikkelit/19143-tekoaely-ei-mahdu-yhteen-rautamuottiin
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19146-maailman-suurin-siru-tulee-suomeen-cerebras-rakentaa-tekoaelylle-pikakaistan
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19154-promptit-ovat-uusi-tietoturvariski
Tomi Engdahl says:
“We care deeply about being good neighbors.” https://trib.al/bqIBhSX
Tomi Engdahl says:
The short answer is yes, there is evidence of Chinese influence operations trying to amplify anti-data-center sentiment in the West, but it is important to distinguish between covert amplification/propaganda and genuine local opposition.
1. The Covert Influence Campaigns (What China Is Doing)
Recent investigations and threat reports from tech companies and think tanks have documented state-aligned Chinese operations targeting U.S. and Western AI infrastructure.
2. Congressional Scrutiny & Political Framing
In response to these findings, several U.S. lawmakers asked federal intelligence agencies to brief Congress on foreign efforts to slow down U.S. AI development.
3. The Key Distinction: Amplification vs. Creation
Security analysts (including those who uncovered the Chinese accounts) emphasize a critical point: China did not invent the backlash against data centers.
Real Local Concerns: The opposition in local communities is overwhelmingly driven by genuine, local issues—such as rising residential electricity rates, heavy water consumption, noise pollution, and land use disputes.
Low Engagement: OpenAI’s threat investigators found that Beijing’s covert campaigns had “virtually no authentic engagement” or breakout success. Rather than creating a new political movement, the foreign operators were simply trying to “piggyback” on existing American debates to stoke domestic friction.
Summary
China-linked actors have funded and run covert digital campaigns aimed at stirring up public fear around data center power usage and costs. However, the vast majority of anti-data-center activism stems from real local communities raising legitimate concerns over utility bills, water tables, and land management
Tomi Engdahl says:
‘No freedom’: OpenAI boss Sam Altman sparks frenzy after dystopian prediction
OpenAI CEO Sam Altman has warned people may be left with no freedom or privacy in a future controlled by artificial intelligence.
https://www.news.com.au/technology/innovation/no-freedom-openai-boss-sam-altman-sparks-frenzy-after-dystopian-prediction/news-story/837f91f37c101f422cac77ec5eb2764f?utm_source=News.com.au&utm_medium=Facebook&utm_campaign=EditorialSB&utm_content=SocialBakers
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OpenAI boss Sam Altman has warned people could be left with “no freedom”, “no agency” and “no privacy” in an AI-controlled future.
The 39-year-old tech mogul described the dystopian prediction during a conversation with Y Combinator’s Garry Tan at Startup School 2026 in San Francisco last weekend.
The two-day gathering was held on July 25 and 26 and brought together thousands of technology movers and shakers across the globe.