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”

1,165 Comments

  1. Tomi Engdahl says:

    Tuija Siltamäki ei ole koskaan käyttänyt Chat GPT:tä. Aurora Kuusisto (kuvassa) taas pyrkii aktiivisesti irtisanoutumaan ja kieltäytymään tekoälyn käytöstä. Tekoälyaika herättää innostuksen lisäksi vastareaktioita. Mitä se voi tarkoittaa media-alalla?

    HS:n toimituspäällikkö Jussi Pullisen mukaan luova luokka korostaa nyt printtiä ja käyttää sitä identiteetin välineenä, mutta trendikkäämpää on keskeneräisyyden näkyminen eri tavoin.

    Lue lisää
    https://suomenlehdisto.fi/toimittajat-aurora-kuusisto-ja-tuija-siltamaki-karttavat-tekoalya-ja-katsovat-televisiouutisia-tekoalyaika-herattaa-vastareaktioita-mika-voi-nakya-roson-kaipuuna-mediankulutuksessa/

    Reply
  2. Tomi Engdahl says:

    Näkökulma: Tekoäly sanana on harhaanjohtava , koska LLM ei tarkkaan tiedä sitä, mitä se ei tiedä. Sellainen ei ole älykäs.

    Perustelu: Jos joku ihminen ei tiedä sitä mitä hän ei tiedä vaikka pystyisi haastamaan Millenium palkitun Tuomo Suntolan tavoin Albert Einstein ,niin hän ei ole älykäs eikä edes tekoälykäs.

    Todellinen älykkyys ei ole vain kyky tuottaa vaikuttavia vastauksia, vaan myös kyky tunnistaa, mitä ei tiedä.

    https://www.facebook.com/share/p/18FDWE4nEw/

    Reply
  3. Tomi Engdahl says:

    https://www.facebook.com/share/p/18T8coYDNR/

    In Finland, the fight against misinformation doesn’t start in adulthood — it begins in the classroom.

    From an early age, Finnish students are taught how to recognize AI-generated fake news, misleading headlines, and manipulated content. Media literacy isn’t treated as an optional skill or a modern add-on — it’s embedded directly into the education system. Just like reading, writing, and math, understanding information has become a fundamental part of growing up in a digital world.

    In practice, this means students learn to question what they see online. They’re taught how algorithms shape what appears in their feeds, how images and videos can be altered, and how AI tools can generate convincing but false narratives. Instead of passively consuming content, students are encouraged to analyze sources, verify claims, and think critically about intent and bias.

    Teachers play a key role in guiding these conversations, often using real-world examples to show how misinformation spreads and why it matters. Lessons go beyond theory — students actively break down articles, compare sources, and even create their own content to better understand how easily information can be manipulated. The goal isn’t just awareness, but confidence in navigating an increasingly complex information landscape.

    This approach reflects a broader understanding: in the age of AI, knowledge alone isn’t enough — discernment is essential. By equipping young people with these skills early on, Finland is building a generation that is less vulnerable to manipulation and more capable of making informed decisions. It’s a proactive defense, rooted in education rather than reaction.

    As AI continues to evolve and blur the lines between real and fabricated content, Finland’s model stands out as a powerful example. It shows that the most effective way to combat misinformation isn’t just through regulation or technology — but through empowering people, starting from childhood.

    Because in a world full of noise, the ability to tell what’s real may be one of the most important skills of all.

    Reply
  4. Tomi Engdahl says:

    GitHub expands application security coverage with AI‑powered detections
    CodeQL and AI‑powered detections work together in GitHub Code Security to identify vulnerabilities across more languages and frameworks.
    https://github.blog/security/application-security/github-expands-application-security-coverage-with-ai-powered-detections/

    Reply
  5. Tomi Engdahl says:

    Tekoäly-yhtiö Open AI on ilmoittanut aikovansa yhdistää useat sovelluksensa yhdeksi ”super­sovellukseksi” yksinkertaistaakseen etenkin koodaustyökalunsa käyttökokemusta. Samaan työpöytäsovellukseen siirtyvät Chat GPT, Codex-koodausalusta ja selain.

    Wall Street Journal uutisoi asiasta ensimmäisenä omien tietojensa pohjalta. Open AI on sen jälkeen vahvistanut torstaina tiedon

    https://www.tivi.fi/uutiset/a/06392cba-acc5-4ea2-96f9-2e18cb2817d0

    Reply
  6. Tomi Engdahl says:

    https://github.com/htdt/godogen
    You describe what you want. An AI pipeline designs the architecture, generates the art, writes every line of code, captures screenshots from the running engine, and fixes what doesn’t look right. The output is a real Godot 4 project with organized scenes, readable scripts, and proper game architecture. Handles 2D and 3D, runs on commodity hardware.

    Reply
  7. Tomi Engdahl says:

    NVIDIA Releases Nemotron-Cascade 2: An Open 30B MoE with 3B Active Parameters, Delivering Better Reasoning and Strong Agentic Capabilities
    https://www.marktechpost.com/2026/03/20/nvidia-releases-nemotron-cascade-2-an-open-30b-moe-with-3b-active-parameters-delivering-better-reasoning-and-strong-agentic-capabilities/

    Reply
  8. Tomi Engdahl says:

    https://www.xda-developers.com/found-a-free-open-source-alternative-to-claude-code/

    Anthropic Claude has been having its moment lately. Shortly after being labeled a supply chain risk by the Pentagon, it shot to the top of the Apple App Store for the first time, dethroning OpenAI’s ChatGPT. According to reports, free active users on Claude have increased by over 60% since the beginning of 2026, and the number of people signing up daily has quadrupled.

    Given all this momentum, more and more people are discovering that Claude has a lot more to offer than just the basic chatbot experience. One of those features is Claude Code, a terminal-based agentic tool that lets you interact with Claude directly from the terminal. While it’s been one of my favorite AI tools lately, it isn’t for everyone. If you happen to be one of them, there’s, fortunately, a free, completely open-source alternative to Claude Code that just so happens to work with almost everything.

    OpenCode is a completely free and open-source Claude Code alternative

    Reply
  9. Tomi Engdahl says:

    Researchers Asked LLMs for Strategic Advice. They Got “Trendslop” in Return.
    https://hbr.org/2026/03/researchers-asked-llms-for-strategic-advice-they-got-trendslop-in-return

    Reply
  10. Tomi Engdahl says:

    As AI systems process vast datasets to identify targets and analyse intelligence, modern warfare is becoming faster, more scalable, and increasingly dependent on private tech infrastructure. https://bit.ly/4dCK0jR

    Reply
  11. Tomi Engdahl says:

    Vibekoodattu RISC-V: AI suunnitteli kokonaisen CPU:n yhdessä yössä
    https://etn.fi/index.php/13-news/18705-vibekoodattu-risc-v-ai-suunnitteli-kokonaisen-cpu-n-yhdessae-yoessae

    Piirisuunnittelun automaatio otti ison askeleen eteenpäin, kun yhdysvaltalainen startup Verkor syötti 219 sanan vaatimusmäärittelyn AI-agentille – ja sai 12 tunnissa ulos valmiin RISC-V-prosessorin GDSII-tiedostona. Tuloksena syntynyt Vercore-ydin ei vielä kilpaile nykypiirien kanssa, mutta osoittaa, että kokonainen CPU voidaan suunnitella pitkälti ilman ihmistä.

    Verkorin kehittämä Design Conductor -työkalu (DC) hoiti koko suunnitteluketjun RTL-moduuleista testipenkkien generointiin ja integraatiotestaukseen asti. Se ajoi koodia Spike ISA -simulaattorissa, debugasi virheitä, analysoi timing-raportteja ja teki tarvittaessa arkkitehtuurimuutoksia. Käytännössä agentti teki sen, mihin perinteisesti tarvitaan tiimi suunnittelijoita ja EDA-työkaluja.

    AI ei tyytynyt yhteen ratkaisuun, vaan generoi ja vertaili useita mikroarkkitehtuureja. Tuloksena oli muun muassa suorituskykyyn ja energiatehokkuuteen optimoidut versiot. Lopullinen Vercore on viisiportaisella pipeline-rakenteella toteutettu RV32I-ydin, jossa on tuki Zmmul-laajennukselle.

    Suorituskyvyltään Vercore jää kuitenkin selvästi jälkeen nykyprosessoreista. Sen kerrotaan yltävän 1,48 gigahertsin kellotaajuuteen 7 nanometrin prosessissa ja noin 3261 CoreMark-pisteeseen. Tämä vastaa suunnilleen Intelin Celeron SU2300 -prosessoria vuodelta 2011.

    Reply
  12. Tomi Engdahl says:

    Working Hands
    The Number of People Using AI at Work Is Suddenly Falling
    Is that good?
    https://futurism.com/artificial-intelligence/gen-ai-workplace-surveys?fbclid=IwdGRjcAQwToFjbGNrBDBOTGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHvajiHYD8q3ItmGPKFHybNbp1h9D5qmj_es_sYkUqbxLCQClYujuglu29OcB_aem_7iF-kLmBkHA_lvG6B8R3Zg

    After three years of unprecedented tech spending and nonstop hype, the demand for AI in the workplace seems to be drying up fast.

    Referencing data from a recent US Census Bureau survey, The Economist estimated that the percentage of Americans using AI to “produce goods and services” at large companies rang in at a modest 11 percent in October, the latest available survey date. It’s not just that the figure is a bit soggy for the supposedly world-changing technology, but that it’s suddenly moving in the wrong direction: the financial publication notes that the percentage is actually down from 12 percent in the prior survey, conducted two weeks previously.

    Looking at the big picture doesn’t make it any prettier. Back in March, the number of businesses with 100-249 employees that reported not using AI within the last two weeks stood at 74.1 percent. The survey results show a steady uptick in “no” results over the past few months, culminating in a dreadful 81.4 percent as of the latest poll.

    For big corporations with over 250 employees, meanwhile, the “no” reports have crept up to 68.6 percent, up from the year’s low of 62.4 percent recorded in February.

    The data is nothing if not a major red flag for an industry which is expected to spend $5 trillion on AI infrastructure between now and 2030. To do so will require a massive increase in revenue from both business and personal AI use — the latter of which has been lagging.

    Unfortunately for the tech industry, enterprise AI customers aren’t picking up the slack. Though various non-government surveys cited by The Economist varied wildly in their numbers, they all seemed to spell out the same results: AI remains more of an experimental plaything in the workplace than a serious driver of productivity.

    One economist at Stanford who tracks the use of generative AI at work found a major drop in usage month to month: though 46 percent of respondents reported using the tech in June, that number had fallen to 37 percent by September.

    The results follow a disappointing summer for AI advancements, with models like OpenAI’s GPT-5 falling short of expected performance gains.

    senior executives found over half felt they were “failing in their role” of supporting AI in their companies.

    Instead, executives pointed to a creep of “AI fatigue” among the rank and file — which a year of AI horrors probably hasn’t helped.

    With a $600 billion gulf between AI revenue and AI spending, an immense amount is riding on whether the tech can start bringing home the bacon.

    Reply
  13. Tomi Engdahl says:

    Musked Up
    There’s a $10 Billion Problem With Elon Musk’s New Chip Factory
    “We either build the Terafab or we don’t have the chips, and we need the chips, so we build the Terafab.”
    https://futurism.com/artificial-intelligence/elon-musk-terafab-finances?fbclid=IwVERDUAQwUClleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR5YO9n0B7RGgEghNBj6aaQ5ckjf9339YkCzIb3JkJvrWvLa8myj-FDPA1XH-Q_aem_dGa8JOBxJC3z7Z0SqD20lw

    If Elon Musk ever cuts the ribbon on his massive chip factory “Terafab,” it could be among the largest buildings on Earth — and one of the most expensive.

    Terafab, announced in a painfully awkward conference over the weekend, is a joint semiconductor venture between Musk’s SpaceX, Tesla, and xAI companies. Should it ever come to be — we’re skeptical — the factory would be much bigger than its already-existing Giga Texas facility, and would surely be the largest chip plant on the planet.

    In his early estimates, Musk said the initial costs for Terafab could come out to around $20 to $25 billion, which is not currently reflected in Tesla’s 2026 capital expenditures.

    Reply
  14. Tomi Engdahl says:

    The Nordic AI Inflection Point: Value Creation or Value Bubble?
    https://www.bcg.com/publications/2026/nordic-ai-value-creation-or-bubble?utm_source=facebook&utm_medium=social&utm_campaign=ai&utm_description=paid&utm_topic=ai&utm_geo=nordics&utm_content=nordic-report&fbclid=IwdGRjcAQwUThleHRuA2FlbQEwAGFkaWQBqy1XdjQ-TnNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHtayDLyOaqlegBpPLv3Q3cBuJqTVtYpoRDE_Rw9XzJflXpPUV_eFIg_0Eniz_aem_cCjSadv_rAjpfRk0Rgu70Q&utm_id=120239668481360094&utm_term=120239668481350094

    Key Takeaways
    Nordic business executives are treating AI as a top strategic priority—yet, today, only 4% of companies see meaningful ROI (returns of at least five times their AI investment) on a par with global and EU competitors.
    However, Nordic companies’ 2029 impact expectations are 2–3x higher than that of global competitors, raising the stakes for delivering on bold ambitions.
    Concerningly, Nordic companies direct a disproportionate share of AI investment toward off-the-shelf productivity tools (~40%–50% vs. 8%–11% for global and EU competitors). By contrast, global leaders invest far more in transformative, end-to-end use cases, which typically generate higher ROI.
    If the ROI gap persists, Nordic economies face a real risk of a local AI value bubble and could lose significant ground to global and EU competitors.
    Enabling transformative AI value creation requires five key components: top-down strategic direction, ownership across the entire business, cross-functional teaming, executive governance, and strategic buildouts of enabling technology.

    AI adoption is now nearly universal among Nordic companies. Yet, despite rapid uptake and substantial investment, AI is falling short of its promise in terms of delivered value, with realized returns that remain strikingly limited: only 4% of Nordic companies report achieving returns of at least five times their AI investment.

    This gap between investment and impact is not unique to the Nordics, but it is a growing cause for concern. To better understand the underlying drivers, BCG spoke with more than 300 executive leaders and managers across mid and large cap companies in the region.

    The findings reveal a clear paradox. Despite limited AI returns today, Nordic executives express exceptionally high confidence in future value creation. They expect AI to drive revenue growth of roughly 30% and cost reductions of around 25% by 2029. These expectations are significantly higher than those reported by European and global peers, placing the Nordics at the upper end of the ambition curve.

    Reply
  15. Tomi Engdahl says:

    Godfather of AI Predicts Total Breakdown of Society
    Tech billionaires “are really betting on AI replacing a lot of workers.”
    https://futurism.com/artificial-intelligence/godfather-ai-breakdown-society?fbclid=IwdGRjcAQwUw1jbGNrBDBS8WV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHpmNYhyb_WuN_SKlIuBmB6hLpXjM9P5bK65m51zxUfgASPYFfPLJ3YIS6L98_aem_omazZS3zaHzLlqJPtT4nhg

    Geoffrey Hinton, one of the three so-called “godfathers” of AI, never misses an opportunity to issue foreboding proclamations about the tech he helped create.

    During an hour-long public conversation with Senator Bernie Sanders at Georgetown University last week, the British computer science laid out all the alarming ways that he forecasts AI will completely upend society for the worst, seemingly leaving little room for human contrivances like optimism. One of the reasons why is that AI’s rapid deployment will be completely unlike technological revolutions in the past, which created new classes of jobs, he said.

    “The people who lose their jobs won’t have other jobs to go to,” Hinton said, as quoted by Business Insider. “If AI gets as smart as people — or smarter — any job they might do can be done by AI.”

    “These guys are really betting on AI replacing a lot of workers,” Hinton added.

    Hinton pioneered the deep learning techniques that are foundational to the generative AI models fueling the AI boom today. His work on neural networks earned him a Turing Award in 2018, alongside University of Montreal researcher Yoshua Bengio and the former chief AI scientist at Meta Yann LeCun. The trio are considered to be the “godfathers” of AI.

    All three scientists have been outspoken about the tech’s risks, to varying degrees. But it was Hinton who first began to turn the most heads when he said he regretted his life’s work after stepping down from his role at Google in 2023.

    Reply
  16. Tomi Engdahl says:

    https://etn.fi/index.php/13-news/18709-arm-haluaa-vallata-ai-palvelimien-cpu-paikat

    Englantilainen kännyköiden prosessori-IP:llä suuruuteen noussut Arm tekee historiansa suurimman strategisen liikkeen, kun yhtiö on julkaissut ensimmäisen oman palvelinprosessorinsa. AGI-niminen piiri on suunnattu suoraan AI-datakeskuksiin, joissa CPU:n rooli on muuttumassa nopeasti.

    Arm on yli kolmen vuosikymmenen ajan elänyt mallilla, jossa se lisensoi prosessoriytimiä muiden suunniteltavaksi. Nyt yhtiö ottaa askeleen, joka vie sen suoraan samoille apajille omien asiakkaidensa kanssa. Tämä tarkoittaa käytännössä kilpailua sekä perinteisiä x86-toimijoita kuten Intel ja AMD vastaan, että pilvijättien omia Arm-pohjaisia kehityksiä vastaan.

    Uusi AGI-prosessori on suunniteltu nimenomaan AI-agenttien aikakauteen. Kun tekoäly siirtyy mallien kouluttamisesta jatkuvasti toimiviin agentteihin, CPU:n tehtäväksi jää yhä enemmän työn orkestrointi, datan siirto ja kiihdyttimien ohjaus. Tämä kasvattaa CPU-kapasiteetin tarvetta merkittävästi, vaikka varsinainen laskenta tehdään GPU:illa ja erillisillä AI-kiihdyttimillä.

    Reply
  17. Tomi Engdahl says:

    https://www.tivi.fi/blogit/a/530619dd-4a0d-46db-99ea-5bbae10e5eab
    Kaasu pohjassa Skynetiin – Terminator-elokuvien piti olla varoitus, ei toimintaohje
    Petteri Järvinen23.3.202606:30TekoälyKybernetiikkaKybersota
    Mitä palasia vielä puuttuu Terminator-elokuvan maailmasta? Kyborgi, joka on puoliksi robotti ja puoliksi biologinen olio, näin arvioi Petteri Järvinen teknologian nykytilannetta kolumnissaan.

    Reply
  18. Tomi Engdahl says:

    Kolme vuotta sitten Chat GPT oli hauska leikkikalu. Se piirsi hassuja kuvia ja kirjoitti fraaseja juhlapuheisiin. Uusin tekoäly ei ole enää

    Reply
  19. Tomi Engdahl says:

    “How are we gonna explain to people?”

    Woe Is Men
    CEO of Palantir Says AI Will Seize Power Away From College-Educated Women
    “This technology disrupts humanities-trained — largely Democratic — voters.”
    https://futurism.com/artificial-intelligence/ceo-palantir-ai-women?fbclid=IwdGRjcAQxoMRjbGNrBDGgmmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHliA8ZcvPtGP-dQuoU5JWUHWKhYAcPhYqc5FeDq7wgOx7lQmd8W4B6HJuJ4j_aem_5xvjgq5oSxv5fIR2XLbr2w

    From the guy who bragged that he chats with “real Nazis” and mused about how legalizing war crimes would be good for his bottom line comes another zinger that will have you yearn for the days when CEOs acted more like cautious bureaucrats than ‘roided out pro wrestlers.

    In a CNBC interview Thursday, Palantir cofounder and CEO Alex Karp opined that AI will undermine the influence of “highly educated, often female voters” and empower working class men instead. And anyone who doesn’t realize this political reality, he added, belongs in an “insane asylum.”

    “This technology disrupts humanities-trained — largely Democratic— voters, and makes their economic power less, and increases the economic power of vocationally trained, working-class, often male, voters,” Karp elaborated in a portion of the interview highlighted by The New Republic.

    “And so these disruptions are gonna disrupt every aspect of our society. And to make this work, we have to come to an agreement of what it is we’re going to do with the technology; how are we gonna explain to people who are likely gonna have less good, and less interesting jobs.”

    Palantir provides AI-powered surveillance tech to the military and government, including agencies like Immigration and Customs Enforcement, as well as foreign militaries like the Israeli Defense Force.

    Its CEO’s comments will be music to the ears of to the Trump administration and its supporters, which has embraced AI in all aspects: as a battlefield tool, as a way of eliminating federal bureaucracy, and as a machine for producing propaganda in a cultural war against woke, DEI, minorities — and, of course, women.

    Reply
  20. Tomi Engdahl says:

    ‘Beyond massive’: How a court victory by a teenager addicted to Instagram and YouTube could upend the whole tech industry
    In a landmark ruling, a Los Angeles jury held Meta and Google liable for a young app user’s mental distress. Io Dodds explains why that logic could cost Big Tech billions — and potentially transform it permanently

    https://www.the-independent.com/tech/meta-instagram-youtube-lawsuit-mental-health-b2945848.html?fbclid=IwdGRjcAQxrHdjbGNrBDGsQWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHvPU8XOGVspcfSwbBOYMqz8vRzMkM3n9Rs7T3HXZvOnQxYYX9Be8devDnr_l_aem_7HlFm-fFk617iH8_uKi2qg

    Reply
  21. Tomi Engdahl says:

    Meta and YouTube found liable on all counts in landmark trial that could reshape the future of social media
    Verdict in California comes a day after similar conclusion reached on a case in New Mexico, where a jury ordered Meta to pay $375 million for violating consumer protection laws
    https://www.independent.co.uk/tech/meta-liable-social-media-addiction-trial-b2945634.html?fbclid=IwdGRjcAQx2BRjbGNrBDHX3GV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHu6Dsb3Vxpt5UtIICAs0pc5ODa_M-Psm2nPqYcrdYn-agVwlqaemwXmLfsSS_aem_WgvXynR6_x7hPPXWP7zomQ&test_group=lighteradlayout

    Reply
  22. Tomi Engdahl says:

    CodeBoxxin perustajan Nicolas Genestin mukaan ohjelmistokehitys on kääntynyt päälaelleen: koodia ei enää kirjoiteta, vaan tekoälyä orkestroidaan kohti tavoitetta. Muutos näkyy erityisen voimakkaasti sulautetuissa järjestelmissä, joissa tiukka laitteisto–ohjelmisto-integraatio, pitkät validointisyklit ja virheiden korkea hinta tekevät agenttipohjaisesta kehityksestä poikkeuksellisen merkittävän murroksen.

    Ohjelmistoteollisuus ei ole viimeisen kahden vuoden aikana vain kehittynyt. Se on kääntynyt ympäri. Vuosikymmenten ajan kehittäjät on opetettu kääntämään vaatimuksia koodiksi rivi riviltä, funktio funktiolta. Työ on ollut hidasta, tarkkaa ja syvästi inhimillistä. Nyt tämä malli murenee tehottomuutensa alle.

    https://etn.fi/index.php/opinion/18714-agenttikoodaus-muuttaa-myoes-sulautetun-kehityksen

    Reply
  23. Tomi Engdahl says:

    https://etn.fi/index.php/13-news/18713-tekoaely-siirtyi-pilvestae-ranteeseen

    Tekoäly ei enää tarvitse pilveä. Ambient Scientificin uusi GPX-10 -prosessori tuo jatkuvasti päällä olevan AI:n suoraan ranteeseen. Tästä huolimatta laitteet voivat kestää yhdellä latauksella jopa kahden viikon ajan.

    Ambient Scientific esitteli Nürnbergin Embedded Worldissa yhteistyössä Dimension NXG:n kanssa MAI-nimisen turva- ja terveysrannekkeen, mutta varsinainen uutinen ei ole laite. Se on tapa, jolla tekoälyä ajetaan.

    Perinteisesti älylaitteet keräävät dataa ja lähettävät sen pilveen analysoitavaksi. GPX-10 kääntää mallin ympäri. Se pystyy ajamaan useita AI-malleja jatkuvasti suoraan laitteessa ilman verkkoyhteyttä. Tämä mahdollistaa reaaliaikaisen analyysin, paremman yksityisyyden ja käytön myös ympäristöissä, joissa yhteydet ovat heikot tai puuttuvat kokonaan.

    Ratkaisun ydin on niin sanottu DigAn-arkkitehtuuri, joka yhdistää digitaalisen ja analogisen laskennan. Sen sijaan että dataa siirrettäisiin jatkuvasti muistin ja prosessorin välillä, matriisilaskenta tehdään suoraan muistissa. Tämä poistaa Von Neumann -arkkitehtuurin tunnetun pullonkaulan ja parantaa energiatehokkuutta merkittävästi.

    Reply
  24. Tomi Engdahl says:

    Sebastian Mallaby / Wall Street Journal:
    Book excerpt: how Google acquired DeepMind for $650M in 2014, beating Facebook to the deal; Mustafa Suleyman used poker-style bluffing to secure a safety board

    The Inside Story of the Greatest Deal Google Ever Made: Buying DeepMind
    Before artificial intelligence minted billionaires and roiled the stock market, the London startup caught the attention of tech’s biggest names.
    https://www.wsj.com/tech/ai/deepmind-google-demis-hassabis-5bd6de54?st=RPC3wn&reflink=desktopwebshare_permalink

    Reply
  25. Tomi Engdahl says:

    Eli Tan / New York Times:
    Meta confirms laying off staff on Wednesday; a source says Meta laid off ~700 employees in its Reality Labs unit, as well in recruiting, sales, and Facebook — Meta on Wednesday laid off around 700 employees, a person with knowledge of the company said, the latest downsizing …

    Meta Lays Off 700 Employees, While Rewarding Top Executives
    The jobs cuts and a new stock program for executives come as Meta continues to shift its focus to artificial intelligence.
    https://www.nytimes.com/2026/03/25/technology/meta-layoffs-ai-executives.html?unlocked_article_code=1.V1A.GoAa.Bb73ytbBTorE

    Charles Rollet / Business Insider:
    Leaked memo: Meta’s Reality Labs is reorganizing staff into AI-native “pods” focused on specific outcomes, flattening the organization’s leadership structure — – A large division within Meta Reality Labs is undergoing an overhaul to become fully “AI-native.”

    Inside Meta’s push to turn employees into ‘AI builders’ and reorganize teams around small pods
    https://www.businessinsider.com/metas-reality-labs-shifts-to-ai-native-pods-efficiency-2026-3

    ckerberg. Bloomberg/Getty Images
    Mar 26, 2026, 1:39 AM GMT+2
    Save Saved

    Meta is rebranding some employees as “AI builders” and organizing them into AI-native “pods,” according to a leaked memo obtained by Business Insider.

    kerberg. Bloomberg/Getty Images
    Mar 26, 2026, 1:39 AM GMT+2
    Save Saved

    Meta is rebranding some employees as “AI builders” and organizing them into AI-native “pods,” according to a leaked memo obtained by Business Insider.

    The memo described an overhaul of roles, titles, and team structures across a 1,000-employee team within Meta’s Reality Labs. It’s part of a broader, aggressive push by Meta to adopt small teams and use AI.

    The pilot program was announced last month within the Reality Labs team that builds developer tools. Everyone in the division will now have one of three titles: AI Builder, AI Pod Lead, or AI Org Lead. That’s to encourage a shift toward a flatter organization, a structure that Meta CEO Mark Zuckerberg has advocated.

    Reply
  26. Tomi Engdahl says:

    Corbin Davenport / How-To Geek:
    GitHub says it will use Copilot interaction data, including inputs, outputs, and code snippets, to train its AI models starting April 24, unless users opt out — The generative AI models powering ChatGPT, Copilot Gemini, and other assistants were created with mountains of training data.

    GitHub’s Copilot will use you as AI training data, but you can opt out
    https://www.howtogeek.com/githubs-copilot-will-use-you-as-ai-training-data-but-you-can-opt-out/

    Here is a fact-based summary of the story contents:

    The generative AI models powering ChatGPT, Copilot Gemini, and other assistants were created with mountains of training data. Now, Microsoft will start using interactions with GitHub Copilot as another source of that information, unless you specifically opt out of the collection.

    Reply
  27. Tomi Engdahl says:

    Andrew J. Hawkins / The Verge:
    Uber partners with China’s Pony AI and Croatia-based, Rimac-spinoff Verne to launch Europe’s first commercial robotaxi service, initially debuting in Zagreb — The companies are already testing autonomous vehicles in Croatia, where they will launch their first commercial service.

    Uber aims to launch Europe’s first robotaxi service with Pony AI and Verne
    https://www.theverge.com/transportation/900656/uber-pony-ai-verne-robotaxi-europe

    The companies are already testing autonomous vehicles in Croatia, where they will launch their first commercial service.

    Bloomberg:
    Pony AI reports 2025 revenue up 20% YoY to ~$90M, total annual losses down 72% YoY to ~$76.8M, and a $75.5M net income in Q4, its first profitable quarter ever — Pony AI Inc. delivered its first profitable quarter ever, bolstered by a windfall from an early investment, rather than its main robotaxi business.
    https://www.bloomberg.com/news/articles/2026-03-26/pony-ai-swings-to-profit-aims-to-launch-robotaxis-in-20-cities

    Reply
  28. Tomi Engdahl says:

    Google Research:
    Google Research details TurboQuant, a quantization algorithm to enable massive compression of LLMs and vector search engines without sacrificing accuracy — We introduce a set of advanced theoretically grounded quantization algorithms that enable massive compression for large language models and vector search engines.

    TurboQuant: Redefining AI efficiency with extreme compression
    https://research.google/blog/turboquant-redefining-ai-efficiency-with-extreme-compression/

    Reply
  29. Tomi Engdahl says:

    Maria Curi / Axios:
    Sen. Bernie Sanders and Rep. Alexandria Ocasio-Cortez introduce legislation to pause new data center construction until AI safeguards are in place — Sen. Bernie Sanders (I-Vt.) and Rep. Alexandria Ocasio-Cortez (D-N.Y.) on Wednesday will announce legislation to pause all new data center …

    Sanders and AOC unveil data center moratorium bill
    https://www.axios.com/2026/03/25/sanders-aoc-data-center-moratorium-bill

    Sen. Bernie Sanders (I-Vt.) and Rep. Alexandria Ocasio-Cortez (D-N.Y.) on Wednesday will announce legislation to pause all new data center construction nationwide until AI safeguards are in place.

    Why it matters: Sanders and AOC are staking out one of the most aggressive AI policy positions yet this Congress, colliding with the industry’s rapid expansio

    Reply
  30. Tomi Engdahl says:

    Ivan Mehta / TechCrunch:
    Google launches the Lyria 3 Pro music generation model, with better creative control and letting users create three-minute tracks, up from Lyria 3′s 30 seconds — Google announced on Wednesday that it’s releasing Lyria 3 Pro, a music generation model, a month after Lyria 3′s release.

    Google launches Lyria 3 Pro music generation modelhttps://techcrunch.com/2026/03/25/google-launches-lyria-3-pro-music-generation-model/

    Reply
  31. Tomi Engdahl says:

    Chris Metinko / Axios:
    Epic Microsystems, which designs power delivery architecture for better thermal and efficiency management of AI data centers, raised a $21M Series A

    Exclusive: Chip startup Epic Microsystems locks up $21M
    https://www.axios.com/pro/enterprise-software-deals/2026/03/25/chip-epic-microsystems-data-21m

    Reply
  32. Tomi Engdahl says:

    The Information:
    Source: as part of its Google deal, Apple has full access to the Gemini model in its own data centers and can use distillation to produce smaller models

    https://www.theinformation.com/newsletters/ai-agenda/apple-can-distill-googles-big-gemini-model

    Reply
  33. Tomi Engdahl says:

    Todd Spangler / Variety:
    Disney ends its three-year OpenAI licensing deal, signed in December 2025, in which it agreed to invest $1B in OpenAI and license 200+ of its characters to Sora

    OpenAI Will Shut Down Sora Video App; Disney Drops Plans for $1 Billion Investment
    https://variety.com/2026/digital/news/openai-shutting-down-sora-video-disney-1236698277/

    Disney, which had inked a major pact for Sora, said it ‘will continue to engage with AI platforms to find new ways to meet fans where they are’

    OpenAI said it will discontinue Sora, the generative-AI video creation app it launched last year, without providing a reason for the decision.

    “We’re saying goodbye to Sora. To everyone who created with Sora, shared it, and built community around it: thank you. What you made with Sora mattered, and we know this news is disappointing,” OpenAI’s Sora team said in a statement Tuesday.

    The statement added, “We’ll share more soon, including timelines for the app and API and details on preserving your work.” OpenAI didn’t respond to requests for additional info.

    Reply
  34. Tomi Engdahl says:

    AI is no longer just adding features to software. It’s redefining what software is. In this blog, we explore the rise of AI-native software, why agent orchestration matters, and how intelligent integration platforms are already turning vision into reality.

    How AI is changing software
    Thomas Martinsen is a Technical Evangelist at Twoday with more than 25 years of experience at the intersection of technology, strategy, and business innovation. He’s a Microsoft Regional Director and Microsoft AI MVP, recognized for his ability to translate complex technologies into clear strategies that create measurable impact. Thomas is passionate about both community and leadership.
    https://www.twoday.com/blog/how-ai-is-changing-software?utm_campaign=241033424-GL_SE%3A%20Software%20Engineering&utm_source=facebook&utm_medium=paidsocial&utm_term=always-on-2026&utm_content=tech-expert-thomas&hsa_acc=2085177758592038&hsa_cam=120239477866880201&hsa_grp=120239506738140201&hsa_ad=120239506738290201&hsa_src=fb&hsa_net=facebook&hsa_ver=3&fbclid=IwdGRjcAQx7XtleHRuA2FlbQEwAGFkaWQBqy0zaJXOCXNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHqhz9mFI87WBwH68408woUWC2u4N1kcs2kFFpqYA9UNOiA7purGbCqjNa3xU_aem_LMefdZ3jcFI3Cn4FtMAvBw&utm_id=120239477866880201

    Reply
  35. Tomi Engdahl says:

    Slop OS
    Microsoft Realizes It’s Epically Screwed Up Windows 11 as Users Rage at Copilot AI Crammed Everywhere
    Painful.
    https://futurism.com/artificial-intelligence/microsoft-screwed-up-windows-11-copilot?fbclid=IwdGRjcAQy6mZjbGNrBDLqF2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHgTSMetHX4hSkTOaXBWc0j5l0K9W-Xg1IJ8nz7MKYbk34aGiAs8pTd_BvBe9_aem_mgAlbg4xBr6yW_AK_39PCA

    Microsoft’s commitment to shoving its Copilot AI chatbot into every imaginable facet of its widely-used Windows operating system hasn’t gone over well with users.

    Copilot feels like it’s infiltrated everything, from a dedicated keyboard key to a thick coat of AI weighing down its otherwise lightweight text editor, Notepad. And that’s not to mention years of annoying ads for its in-house services, like OneDrive and Microsoft 365.

    In short, it’s no wonder users are desperately looking for greener pastures, from a growing exodus trying out the open source operating system Linux and Apple’s aggressively priced MacBook Neo, which could be the non-Windows saving grace for many budget-conscious buyers looking for a basic machine.

    Microsoft seems to have finally noticed that its house is on fire, particularly following the heavy-handed embrace of AI garnering it the widely used pejorative of “Microslop.” Unsubstantiated rumors over Windows 12 embracing AI even more triggered a massive uproar earlier this month, once again highlighting widespread disillusionment.

    In a Friday post titled “Our commitment to Windows quality,” Windows VP Pavan Davuluri effectively admitted outright that the company has gone too far shoving AI down users’ throats at all costs.

    Apart from announcing astonishingly basic functionality like allowing the taskbar to be pinned to the left or right of the screen — something other operating systems have been capable of for decades — Davuluri claimed that “you will see us be more intentional about how and where Copilot integrates across Windows, focusing on experiences that are genuinely useful and well‑crafted.”

    “As part of this, we are reducing unnecessary Copilot entry points, starting with apps like Snipping Tool, Photos, Widgets and Notepad,” he wrote.

    The admission shows how companies are still desperately searching for meaningful ways to implement large language model-based tech in consumer products. As AI industry leaders continue to pour hundreds of billions of dollars into the tech, many attempts to embrace the tech are backfiring in spectacular fashion, leading to frustration and backlash among many who never asked for these changes.

    It’s not just users becoming annoyed. Some implementations of AI could lead to real cybersecurity issues. Case in point, after Microsoft crammed its Copilot into the Notepad app, researchers discovered a major security failure that had to be patched.

    Our commitment to Windows quality
    https://blogs.windows.com/windows-insider/2026/03/20/our-commitment-to-windows-quality/?fbclid=IwVERDUAQy63VleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR5PJ2zcI3bt16eD0g41MWLYO86F27sDpTCxRp_zufXiAdnOLAM2MFbNCNHjnA_aem_sLO9R9olSEJ8MO5JGe3Hag

    Reply

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