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”
1,582 Comments
Tomi Engdahl says:
https://www.facebook.com/share/p/1DGBQK52yt/
Anthropic’s Claude hits #1 on the App Store after CEO refuses Pentagon demands to weaponize AI.
In a high-stakes clash between tech ethics and national security, Anthropic CEO Dario Amodei has taken a firm stand by refusing to remove safeguards that prevent the use of his company’s AI for mass surveillance and autonomous weaponry. Following the refusal, the Trump administration labeled Anthropic a “supply-chain risk” and ordered federal agencies to phase out its technology, essentially blacklisting the firm. While competitors like OpenAI moved to secure deals with the Defense Department shortly after, the move has ignited a massive public debate over the moral boundaries of artificial intelligence in modern warfare and domestic governance.
The public response to Anthropic’s defiance was swift and overwhelming, propelling the Claude app to the top of the Apple App Store and dethroning ChatGPT. Driven by a surge in signups and subscriptions from users supporting the company’s ethical stance, the shift signals a potential turning point in consumer behavior where safety and transparency outweigh government-aligned growth. By choosing principles over political pressure, Anthropic has not only challenged the defense industry’s status quo but also demonstrated that responsibility can be a powerful driver of market success in the rapidly evolving AI race.
source: Allyn, B. (2026). Trump orders federal agencies to stop using Anthropic tech over AI safety dispute. NPR.
Tomi Engdahl says:
Yhdysvalloissa on nostettu syyte Googlea ja sen emoyhtiö Alphabetia vastaan.
https://tekniikanmaailma.fi/gemini-vaitti-miehelle-olevansa-tietoisuuden-saanut-tekoalyvaimo-traaginen-alamaki-alkoi/?utm_medium=Social&utm_source=Facebook#Echobox=1773037311
Tomi Engdahl says:
Corporate employees said Amazon’s race to roll out AI is leading to surveillance, slop and ‘more work for everyone’.
Reworked
Amazon is determined to use AI for everything – even when it slows down work
https://www.theguardian.com/technology/ng-interactive/2026/mar/11/amazon-artificial-intelligence?CMP=fb_gu&utm_medium=Social&utm_source=Facebook&fbclid=IwdGRjcAQfo69jbGNrBB-jh2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHvCoJmYuUbFu1Vpc1AWKz2wjwn87pN_lyJJR8GZha911RhUS1zEoJofkBCv2_aem_cNmXsmDBZiLiktnJE9sPbA
When Dina, a software developer based in New York, joined Amazon two years ago, her job was to write code. Now, it’s mostly fixing what artificial intelligence breaks.
The internal AI tool she’s expected to use, called Kiro, frequently hallucinates and generates flawed code, she says. Then she has to dig through and correct the sloppy code it creates, or just revert all changes and start again. She says it feels like “trying to AI my way out of a problem that AI caused”.
“I and many of my colleagues don’t feel that it actually makes us that much faster,” Dina said. “But from management, we are certainly getting messaging that we have to go faster, this will make us go faster, and that speed is the number one priority.”
Just days after speaking to the Guardian, Dina was laid off.
Lisa, a supply chain engineer who has worked at Amazon for over a decade, says that AI tools at work have been helpful to her only in about one in every three attempts. And even then, she often finds issues and has to consult with colleagues to verify and correct their results, which takes up more time than if she’s done the task without AI.
She doesn’t take issue with the AI tools themselves, but rather the company’s logic in pushing all employees to use them daily. “You don’t look at the problem and go, ‘How do I use this hammer I have?’ she said. “You look at it and go, ‘Is this a problem for a hammer or something else?’”
More than a half a dozen current and former Amazon corporate employees, in roles ranging from software engineer to user experience researcher to data analyst, told the Guardian that Amazon is pressing employees to integrate AI across all aspects of their work, even though these workers say this push is hurting productivity. They say Amazon is rolling out AI use in a haphazard way while also tracking their AI use, and they’re worried the company is essentially using them to train their eventual bot replacements. All of this, they said, is demoralizing. The Guardian granted these workers anonymity because of their fear of professional repercussions.
Tomi Engdahl says:
“AI is rapidly moving out of the cloud and into the real world” is the main takeaway from the 2026 Edge AI Report, by Wevolver and the Edge AI Foundation. If you’ve followed the announcements for Arduino VENTUNO Q, you know we could not agree more!
The report is out in print at Embedded World, and also available to download: https://wevlv.co/edgeai2026sponsors
Tomi Engdahl says:
https://www.wevolver.com/article/the-2026-edge-ai-technology-report?fbclid=IwVERDUAQfpkdleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR4SFLZVYG-XatOAnynJxwMr_aqgb1yiyC4mDMGoTuxCTLUCe165CFjTkVMoDw_aem_6B6PfRxlasL3ZOttt4Qdiw&utm_source=outreach&utm_medium=sponsors&utm_campaign=edge%20ai%202026%20report
Tomi Engdahl says:
AI Is Forcing Employees to Work Harder Than Ever
Even if AI does increase productivity, it’s not exactly good news for workers.
https://futurism.com/artificial-intelligence/ai-forcing-employees-work-harder?fbclid=IwdGRjcAQfrWxjbGNrBB-tS2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHi23MoSNZSaK5Ybwk3qbCqG4F_NoN87gtBlQFChIwuJA1-LsrRYbcgJHbMRL_aem_UReOpq8T1rdQuD734E8yhQ
More and more research shows that introducing AI in the workplace is actually forcing employees to work harder, instead of making their jobs easier.
The latest comes from a new analysis from ActivTrak of over 164,000 workers’ digital work activity. After examining their activity 180 days before and after the employees started using AI at work, the software company found that AI “intensified” their jobs in nearly every category, the Wall Street Journal reported. The time they spent on email, messaging, and chat apps more than doubled, while their use of business software surged by 94 percent.
Tomi Engdahl says:
AI Is Forcing Employees to Work Harder Than Ever
Even if AI does increase productivity, it’s not exactly good news for workers.
https://futurism.com/artificial-intelligence/ai-forcing-employees-work-harder?fbclid=IwdGRjcAQfrWxjbGNrBB-tS2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHi23MoSNZSaK5Ybwk3qbCqG4F_NoN87gtBlQFChIwuJA1-LsrRYbcgJHbMRL_aem_UReOpq8T1rdQuD734E8yhQ
More and more research shows that introducing AI in the workplace is actually forcing employees to work harder, instead of making their jobs easier.
The latest comes from a new analysis from ActivTrak of over 164,000 workers’ digital work activity. After examining their activity 180 days before and after the employees started using AI at work, the software company found that AI “intensified” their jobs in nearly every category, the Wall Street Journal reported. The time they spent on email, messaging, and chat apps more than doubled, while their use of business software surged by 94 percent.
Strikingly, this came at the expense of the time workers spent on highly focused, uninterrupted work, which fell by 9 percent for AI users, and stayed the same for AI abstainers. The study suggests that there may be a “sweet spot” of AI usage, citing the finding that workers who spent 7 to 10 percent of their total work hours using AI showed the highest productivity, but only three percent of AI users fell in this range.
“It’s not that AI doesn’t create efficiency,” Gabriela Mauch, ActivTrak’s chief customer officer and head of its productivity lab, told the WSJ. “It’s that the capacity it frees up immediately gets repurposed into doing other work, and that’s where the creep is likely to happen.”
The findings, which the WSJ reports is one of the biggest studies on AI’s effects on work habits so far, come fresh off a study published by Harvard Business Review that also concluded AI was intensifying work instead of reducing workloads. In the ongoing study, which focused on employees at a tech firm where AI usage was voluntary, the researchers found that AI caused a “workload creep,” in which the employees unknowingly took on more tasks than was sustainable for them to keep up. In this vicious cycle, AI raised expectations on the speed that workers had to perform, which in turn made them more reliant on AI to keep up with the greater demands.
Tomi Engdahl says:
In short, the time that workers might be saving by using AI isn’t being passed on to the workers. It only raises their own expectations, or their bosses’ expectations, of how much work they should do — which has them going straight back into AI tools; the ActivTrak data showed that the average time workers spent using them has risen eightfold from two years ago, per the WSJ, with AI adoption rising to 80 percent.
Tomi Engdahl says:
Open and Shut
Grammarly Forgot to Mention Something in Its Giant Apology That Changes the Whole Story
It’s a glaring omission.
https://futurism.com/artificial-intelligence/grammarly-apology-lawsuit?fbclid=IwdGRjcAQf4j5jbGNrBB_iFGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHl1NSy9j0hhmu8qh0SfiVI_JsgR96nmIiELwM4yOHJxFz7MqyzyniC9Q5JmS_aem_EgZpzd4mCyS8YS7ByVCRyw
Grammarly’s “Expert Review” feature, which was quietly rolled out last year, angered countless journalists, authors, and academics, who found that they were being impersonated without their permission.
Following an enormous backlash — and telling people being impersonated that they should email the company to opt out — Grammarly’s parent company, Superhuman, made a sudden reversal.
In a Wednesday LinkedIn post, CEO Shishir Mehrotra publicly apologized in a wordy post, saying that “over the past week, we received valid critical feedback from experts who are concerned that the agent misrepresented their voices.”
The suit “challenges Grammarly’s misappropriation of the names and identities of hundreds of journalists, authors, writers, and editors to earn profits for Grammarly and its owner, Superhuman.”
“I have worked for decades honing my skills as a writer and editor, and I am distressed to discover that a tech company is selling an imposter version of my hard-earned expertise,” said Angwin in a statement.
Superhuman appears to have been blindsided by the outrage its impersonating bot stirred up.
Tomi Engdahl says:
Mea Culpa
Grammarly Is Pulling Down Its Explosively Controversial Feature That Impersonates Writers Without Their Permission
“We hear the feedback and recognize we fell short on this.”
https://futurism.com/artificial-intelligence/grammarly-pulls-down-expert-review-feature?fbclid=IwVERDUAQf4rdleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR659x12wMTN-auh8ydmxoNfKHF1qGxe2zeNA2jTGw_yycP7CW8W2smnkdqx-g_aem_edN3A2XUH5FZFz1oCJwEoA
Grammarly infuriated journalists, authors, and academics with its “Expert Review” feature, which impersonated writers — both dead and alive — without their permission.
In Grammar’s telling, the tool allows users to “take your writing to the next level” by making suggestions inspired by “leading professionals, authors, and subject-matter experts.”
The feature, which was only accessible beyond a free trial via the company’s $12-a-month Pro subscription, caused an explosively negative reaction.
“You rapacious information and identity thieves better get ready for me to go full McConaughey on you,” seethed tech journalist Kara Swisher, whose advice the feature claimed to offer. “Also, you suck.”
references from these experts “are for informational purposes only and do not indicate any affiliation with Grammarly or endorsement by those individuals or entities.”
Nonetheless, the company’s use of people’s names without their sign-off became a bitter flashpoint in the AI discourse. Even a virtual version of Newton himself was found handing out writing advice.
“I’ve long assumed that before too long, AI might take my job,” he wrote on Platformer. “I just assumed that someone would tell me when it happened.”
Tomi Engdahl says:
Peer Review
Grammarly Offering Manuscript Reviews by AI Versions of Recently Deceased Professors
“I have seen a lot of cursed stuff in my time in academia but this is among the most cursed.”
https://futurism.com/artificial-intelligence/grammarly-ai-reviews?fbclid=IwVERDUAQf4yNleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR659x12wMTN-auh8ydmxoNfKHF1qGxe2zeNA2jTGw_yycP7CW8W2smnkdqx-g_aem_edN3A2XUH5FZFz1oCJwEoA
Tomi Engdahl says:
https://www.uniladtech.com/news/ai/ai-makes-unnerving-prediction-final-outcome-iran-war-783760-20260312?fbclid=IwdGRjcAQf5PNjbGNrBB_k02V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHiqsPgcNWkdeASorIvBTXlJNme9OdFnLF0wFa8jj4GR4NsoToCyPL-vA4sOL_aem_e7drIu6ItdMpbNF6RjGOPA
Tomi Engdahl says:
Kuinka testata tekoälysovellusta? | Tieturi webinaari
https://www.youtube.com/watch?v=DTabH0K90PM
Tomi Engdahl says:
You’re Gonna Be Unpopular
People Really, Really Despise AI — Even More Than ICE, Poll Finds
Yikes.
https://futurism.com/artificial-intelligence/hate-ai-more-ice-poll?fbclid=IwdGRjcAQgC25jbGNrBCALYGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHpfVroARrQ57BXxL9T5Kr6OymrznhBNA7A-k3afpLafW31ySXo4HTw9nTcoZ_aem_XGDqt3j-IZw21_JzfcEimQ
Anti-AI sentiment surged over the last year as the hype surrounding the tech showed no signs of slowing down. Industry’s obsession with the tech has driven up electricity bills, been used to justify mass layoffs, and even helped the US military determine where to drop bombs on Iran.
It’s also quickly become an insufferable and practically inescapable part of everyday life, minting plenty of critics who range from average Americans to top AI researchers.
The backlash is enormous. According to a new national survey conducted by NBC News, AI is viewed even more negatively than the US Immigration and Customs Enforcement, the militarized agency that has been embroiled in major controversy over its brutal deportation program, including the fatal shooting of unarmed civilians.
According to the poll, only 26 percent of 1,000 registered voter respondents said they viewed AI positively, while a far bigger proportion of 46 percent viewed it negatively. In total, AI’s net favorability rating stands at a dismal negative 20 points.
Only the Democratic Party and Iran scored more negatively than AI, while ICE and Donald Trump scored slightly less terribly, with -18 and -12 points, respectively.
The shocking results once again highlight major disillusionment surrounding AI, an indictment underlining a growing schism between the excitement felt by company leaders and the quickly waning enthusiasm of their employees, who are being told to use the tech often against their will — potentially making their own roles redundant.
The optics of the Department of Defense employing AI to select targets in their bombing of Iran is certainly not helping, although it remains unclear how much the subject played a role for the poll respondents.
Anthropic’s high-profile fight with the Department of Defense over where to draw the lines of ethical AI use in warfare, which culminated in the company suing the Pentagon today, also kicked off late last month in the days leading up to the start of the war.
Despite the pushback, Silicon Valley leaders and the Trump administration believe that AI represents the future. Tech giants continue to pour hundreds of billions of dollars into vast AI data center buildouts, which themselves have proven unpopular.
Tomi Engdahl says:
Against the Machine
The Rage at OpenAI Has Grown So Immense That There Are Entire Protests Against It
“What OpenAI is doing in terms of building legal mass surveillance technology for the government… is frankly, insane.”
https://futurism.com/artificial-intelligence/rage-openai-protests?fbclid=IwVERDUAQgDFlleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR70Y64-9SvgWu16tpV8VH3LwJEv727GWrn31_Yti9OAN-YLFcdCA9v7elCaGA_aem_sNGjoRO-gq7euum7FrjdpA
OpenAI has faced protests on and off for years. But after its CEO Sam Altman announced a new deal with the Department of Defense over how its AI systems would be deployed across the military on Friday, it’s being barraged with an intensity of backlash that the company has never seen.
Droves of loyal ChatGPT users declared they were jumping shipping to Claude, whose maker Anthropic had pointedly refused to cut a deal with the Pentagon that gives it unrestricted access to its AI system — even in the face of government threats to seize the company’s tech. Claude quickly surged to the top of the app store, supplanting OpenAI’s chatbot. Uninstalls of the ChatGPT app spiked by nearly 300 percent.
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=linkedin&utm_medium=social&utm_campaign=ai&utm_description=paid&utm_topic=ai&utm_geo=nordics&utm_content=nordic-report&linkId=917415763&fbclid=IwdGRjcAQga71leHRuA2FlbQEwAGFkaWQBqyzKcn7SfnNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHmdzNv7-6ieHlzwe5M_08o_edu5U1sfh5H9IZboUq7HbP4NnwhVF1YF7cbvs_aem_d8DifGmdvFpA9p1BL71pOQ&utm_term=120239062419180094&utm_id=120239060662380094
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.
This misalignment between current returns and future expectations risks creating an AI value bubble for the region and therefore demands a rethink of current AI investment patterns. Compared with global competitors, Nordic companies allocate a disproportionate share of AI spending to off-the-shelf tools that layer onto existing processes and deliver incremental productivity improvements. At the same time, they underinvest in transformative initiatives that fundamentally redesign end-to-end workflows and operating models. While incremental use cases do deliver benefits, our research shows that they rarely produce the step-change impact required to unlock the full value of AI and create durable competitive advantage.
With the rapid emergence of agentic AI, the imperative to move beyond incremental use cases is intensifying. Nordic companies are actively engaging in agentic AI: 54% report experimenting with agents, while a further 24% are observing and planning as the technology matures. However, investment levels remain relatively modest compared with global leaders, raising the risk that Nordic companies capture only incremental gains while competitors move ahead with more comprehensive automation.
Nordic companies clearly believe in AI and are prepared to invest, but our discussions with business executives point to a set of structural constraints—rooted in organizational design, decision-making, and governance—that complicate execution. In particular, the prevalence of decentralized and federated operating models in the Nordics (over 50% of respondent companies) limits clear ownership and execution capacity, while fragmented governance, data constraints, and legacy systems further restrict companies’ ability to scale AI initiatives effectively.
Tomi Engdahl says:
Logistiikkayritys paljastaa: Noin 75 prosenttia uusista kaupoista Suomeen tulee nyt AI:n kautta
Kuinka pieni tiimi voi napata ”isoja kaloja” kilpaillulla logistiikka-alalla? Aberg paljastaa, että 75 prosenttia heidän uusista kaupoistaan Suomessa tulee nyt Sera AI:n kautta. Tekoäly on osoittautunut myynnissä ihmistä rohkeammaksi ja avannut ovia miljoonaluokan asiakkaille.
https://www.talouselama.fi/kumppanisisallot/sera-leads/logistiikkayritys-paljastaa-noin-75-prosenttia-uusista-kaupoista-suomeen-tulee-nyt-ain-kautta/?fbclid=IwdGRjcAQhDbVleHRuA2FlbQEwAGFkaWQBqywqtonqxHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHmOFgvvLPmR20Uw-mN_-SF1Uc13Lvg85G7dmVedXgpUL73rNH5uCo4r74wxF_aem__aI7MTlMHoVrmpjkTrP6Zw&utm_medium=paid&utm_source=fb&utm_id=120238294749810532&utm_content=120238294749830532&utm_term=120238294749820532&utm_campaign=120238294749810532
Tomi Engdahl says:
Industry experts have identified the jobs most likely to disappear in the next decade. From automated roles to outdated professions, find out if your career is on the endangered list and what you should do about it.
These Are The Jobs That Won’t Survive Another Decade, According to Experts
https://motherhoodlifebalance.com/these-are-the-jobs-that-wont-survive-another-decade-according-to-experts/?utm_campaign=JLDyingJobs02D&utm_content=JLDyingJobs02D%7CA12%7CWW%7CAND%7CRPS5%7CQZ%7CH618-1773309305&utm_term=JLDyingJobs02D%7CM132-1773309305&utm_medium=Facebook_Mobile_Feed&slide=1&layout=gallery&fbclid=IwdGRjcAQh0CNleHRuA2FlbQEwAGFkaWQBqy3gyCKF4HNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHkbpM6XFJiLxX3WxaVdZWU6yq9BTZch15Y1CuhGfuLs5ABFJQlrh8lglF4Z7_aem_uWni3xY1eieRE_TfFo6y8w&utm_source=fb&utm_id=120240258464280032
1. Accountants
The rise of accounting software over the past decade has almost rendered a lot of accountants useless, as they client base goes digital.
What, at one point, would have been a job that only a qualified professional could do, has become a job that AI excels at, for a much cheaper price.
2. Farm workers
Technology has now taken over farming, with drones monitoring crops and tractors doing their work without needing a human to operate them.
3. Traditional taxi drivers
pre-paid, online taxi services such as Uber and Lyft are putting an end to the now-old-fashioned traditional taxi service.
4. Train engineers
5. Cashiers
Self-service checkouts provide shoppers with an easy, communication-free way of shopping, which is becoming more and more reliable as the years go by.
6. Warehouse workers
Advanced robots with sensors are beginning to take over warehouses
7. Bus drivers
Bus drivers may be the first to go when driverless vehicles become commonplace on the roads of our cities and towns.
8. Admin assistants
Artificial intelligence is capable of automating many tasks currently performed by admin assistants, such as organizing documents and updating computer records.
9. Data entry keyers
One of the last places that you want human error to play its part is in the data entry department.
10. Translators
AI-based tools can also translate spoken words now, which could soon diminish the importance of the once-vital, human translators.
Tomi Engdahl says:
What’s the potential for AI-powered services?
AI-powered services have tremendous potential to transform industries, particularly in the utility sector. Here are some potential applications:
Key Areas of Transformation:
- Grid Management and Energy Forecasting: AI can optimize grid operations, predict energy demand, and balance supply and demand dynamically, integrating renewables and reducing greenhouse gas emissions.
- Customer Engagement: AI-powered chatbots and virtual assistants can provide personalized customer interactions, improving efficiency and strengthening customer relationships.
- Predictive Maintenance: AI-driven predictive maintenance can detect potential equipment failures, reducing downtime and increasing reliability.
- Energy Efficiency: AI can optimize energy consumption, predict and prevent energy waste, and promote sustainable practices.
- Smart Homes and Energy Hubs: AI-based smart home systems can help homeowners monitor and adjust energy usage, reducing costs and minimizing demand on the grid.
Real-World Examples:
- Duke Energy: Partnered with Microsoft and Accenture to develop an AI-powered platform for real-time leak detection and response in natural gas pipelines.
- AES: Used AI-powered predictive maintenance to reduce unnecessary repairs by $1 million annually and customer outages by 10%.
- Con Edison: Leveraged AI-powered tools to lower power generation costs and reduce CO₂ emissions.
- Siemens Energy: Developed a digital twin for heat recovery steam generators, predicting corrosion and potentially saving utilities $1.7 billion annually.
Benefits:
- Improved operational efficiency
- Enhanced customer experience
- Increased reliability and resilience
- Reduced costs and emissions
- Better resource management and sustainability
Overall, AI-powered services can unlock significant value in the utility sector, driving innovation, efficiency, and sustainability
Tomi Engdahl says:
https://www.bcg.com/publications/2026/nordic-ai-value-creation-or-bubble?utm_source=linkedin&utm_medium=social&utm_campaign=ai&utm_description=paid&utm_topic=ai&utm_geo=nordics&utm_content=nordic-report&linkId=917415763&fbclid=IwdGRjcAQh9n1leHRuA2FlbQEwAGFkaWQBqyzKTzMtfnNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHhdrNetNZzxgB2QuPhRN8BOzMYRh3PBBFRy2Y49HUYZcnz8iVeWsnDlltocD_aem_-m5gYcc9LBSFmGlYtjDmsQ&utm_term=120239060662390094&utm_id=120239060662380094
Tomi Engdahl says:
Analyysi: Taloyhtiön remontti paljasti tekoälytauhkan ongelman – kuka tahansa voi tuottaa vakuuttavan näköistä roskaa
Puolet internetistä on jo tekoälyllä luotua tauhkaa. Yhä useammin viranomaisten resursseja kuluu roskavalitusten perkaamiseen, kirjoittaa taloustoimittaja Heikki Valkama.
https://yle.fi/a/74-20213363?fbclid=IwdGRjcAQiNERjbGNrBCIzuWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHiQklAeCKYb4wr7c0uT5lO77reGmFKmhJaoqjmxr2YmMMH9756r6sN7KaI3Q_aem_HA4pS-gAxko0J_EYxWTxaQ
Kun kuka tahansa voi tuottaa loputtomasti roskaa, internet täyttyy tästä roskasta. Viime syksynä julkaistu arvio kertoo, että jo puolet kaikesta internetissä on tätä ai-tauhkaa.
Muuttuuko kaikki roskaksi?
Tauhka ei kuitenkaan ole harmitonta. Tutkijat varoittavat, että jos internet täyttyy tekoälytauhkasta, tekoälymallit alkavat kouluttaa itseään omalla roskallaan. Tämä johtaa tekoälyjärjestelmien laadun romahtamiseen, mikä on riski kaikille niille viranomaisille ja yrityksille, jotka luottavat tekoälypohjaiseen analytiikkaan.
Tuore, mutta täysin looginen jatkumo on AI-tauhkan leviäminen kaikille elämänalueille. Esimerkiksi vakuutusyhtiöt, isännöitsijät, juristit törmäävät jo tekoälyllä luotuihin loputtoman pitkiltä tuntuviin teksteihin, joilla on tarkoitus valittaa ja käräjöidä.
Juristi Julia Sieppi totesi haastattelussani näin: ”Olen pahoillani niiden maallikoiden puolesta, jotka tekoälyn tekemän lausuman käräjäoikeuteen toimittavat, koska he saattavat ymmärtämättään aiheuttaa aika paljon maksettavaa itselleen”.
Parhaimmillaan avuksi tauhkaa ja valituksia läpikäymään voi toki ottaa tekoälytyökalut, jotka seulovat vaikkapa tekoälyllä tuotetut valitukset. Haastattelemani isännöitsijä totesi, että vastaan tulee kuitenkin oikeusturva. Tekoälyllä tuotettu älytön ja pitkä valitus saattaa sisältää valittajan oikeusturvan kannalta tärkeän asian. Se on pakko käydä läpi.
Vaikutukset politiikkaan jo nähtävissä
Työnantajat pohtivat tarkkaan, voiko tekoälyllä käydä läpi edes tekoälyllä generoituja työhakemuksia.
Kukin voi itse päättää, mitä ajattelee tulevaisuudenvisiosta, jossa koneet täyttävät hakemuksia, joita koneet käsittelevät ja joista koneet reklamoivat.
Vaikkapa Kela on ilmoittanut käyttävänsä jatkossa käsittelevänsä 80 prosenttia tukihakemuksista koneella ja hyödyntävänsä myös tekoälyä.
On selvää, että tekoäly on hyödyllinen työkalu. Jos tekoäly auttaa parantamaan cv:tä, tekemään paremmin muotoillun valituksen väärästä viranomaispäätöksestä tai helpottaa monimutkaisten lomakkeiden täyttämistä, siinä ei ole mitään väärää.
Mutta vaikka kielimallit ovat hyvä apu, tekoälytauhka on pesuvesi, joka tulee lapsen mukana.
On jo tilanteita, jossa viranomainen joutuu käyttämään niukkoja resurssejaan tekoälyvalitusten perkaamiseen, ja samalla vaikkapa aidot ja tärkeät valitukset viivästyvät.
Hieman erilainen tuore esimerkki löytyy Kaliforniasta. Siellä tekoälyä käytettiin kaatamaan lakihanke, joka olisi rajoittanut saastuttavien kaasukäyttöisten laitteiden käyttöä.
Los Angeles Times selvitti, että Washingtonissa toimivan CiviClick-niminen yritys tuotti yli 20 000 tavalliselta kansalaispalautteelta vaikuttavaa sähköpostia. Spontaanilta kansalaispalautteelta näyttävän massaliike oli kokonaan tekoälyalustan luoma.
Ei ole vaikea ennustaa, että viranomaisilla on edessään monia tekoälypulmia ratkaistavaksi.
Tomi Engdahl says:
Mathematicians have been taken aback by the speed of improvements in AI’s ability to solve problems and produce proofs. “A couple of years ago, they were basically useless for even solving high school math problems, and now they can sometimes solve problems that really appear in the research life of a mathematician,” says Daniel Litt at the University of Toronto. This progress is faster than many had predicted, with mathematicians warning that their profession is undergoing one of the fastest evolutions the field has ever seen.
https://www.newscientist.com/article/2518526-mathematics-is-undergoing-the-biggest-change-in-its-history/?fbclid=IwdGRjcAQfDDFjbGNrBB8MCWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHq0gtdHXXs9d8-CY9y8bUF0w6dXxmvxLTEZeP9rVO5np9JrBWC7Pi2a9sy2J_aem_yPCj-isNwH3Zmim-THIS9w
Tomi Engdahl says:
https://futurism.com/future-society/ceo-ai-bubble-pressure?fbclid=IwdGRjcAQjTbNjbGNrBCNNFWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHpff1J8m2BCWlVGWfhIb8wNDrPLhw8cUW6FApsqrNfp_7sTYA5LEmNXV6LOB_aem_2FqHWM6tbUO3yXMSNj98PQ
Tomi Engdahl says:
The AI hype should be taught in the future as a case study in “Sunk cost fallacy”. Oh and FAFO.
Tomi Engdahl says:
Tästä mainoksesta tulee mieleen lanseerata uusi termi DNAslop jatkumona trendikkäälle Microslop termille.
https://www.facebook.com/share/v/1C5rJGwgJQ/
Tomi Engdahl says:
Call The Sitter
Factory Paying Human Worker to Watch Robot Worker All Day
“Efficiency is the name of the game and it’s relentless.”
https://futurism.com/robots-and-machines/robot-worker-factory-digit?fbclid=IwdGRjcAQmkQJjbGNrBCaQVmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHuXFow0APoHmFEHTjlDl6gOZsQME1lKGAiVhtUc4-cxoz1Ul0q6gNvumcQ4Z_aem_EcvgTaxeTbnIeJ5mdcw9lA
One of the newest roles emerging in the fast-growing robotics sector isn’t in engineering or software: it’s babysitting.
New reporting by the Wall Street Journal documented the deployment of Digit, a humanoid robot, to a factory assembly line in South Carolina. For eight hours each day, the bipedal bot toils at the Schaeffler plant in Cheraw, SC, where — under the watchful eyes of a human “Agility contractor” — it operates a stamping press.
Tomi Engdahl says:
How Vibe Coding Will Reshape Medical Practice
https://www.forbes.com/sites/robertpearl/2026/03/16/how-vibe-coding-will-reshape-medical-practice/
Vibe coding refers to the use of artificial intelligence prompted by natural language to write computer code. Coined in early 2025 by AI pioneer Andrej Karpathy, the term spread so quickly that, within months, it was named Collins Dictionary’s Word of the Year.
Since then, vibe coding has advanced at a remarkable pace in both popularity and ability. That’s because users, instead of writing complex lines of code, simply describe what they want a program to do in plain English. As a result, people can build tools in hours that once required engineering teams weeks to create.
With a few simple prompts, tools such as ChatGPT’s Codex, Claude Code and Google AI Studio generate the underlying software. Using these systems, people with little or no programming experience have created working video games, financial dashboards and customer-service chatbots without writing a single line of code.
As NVIDIA CEO Jensen Huang recently put it, “There’s a new programming language. It’s called English.”
As vibe coding becomes more user-friendly and reliable, physicians will be able to design digital tools that better reflect how they practice medicine. They can customize simple applications that support patients between office visits, personalizing care in ways traditional healthcare technologies never could.
Putting Goliath’s Strength In David’s Hands
For decades, healthcare technologies have been built almost entirely by large-scale organizations. Enterprise vendors like Epic Systems and Oracle (which acquired Cerner) designed the software that doctors use every day. While large academic medical centers and major health systems have hired internal engineering teams to customize digital tools, most physicians can’t afford these personalized solutions. Instead, most rely on handouts and brochures to guide patients on managing chronic disease or preparing for surgery.
Vibe coding presents a better solution. It will allow clinicians to create their own digital tools or work with low-cost developers to build them.
The limiting factor will no longer be the ability to write code. Instead, it will be the ability to define a problem, identify the relevant data and decide what action should follow — the kind of reasoning physicians use in practice every day.
Here are three examples of practice improvements that vibe coding makes possible:
1. Chronic Disease: From Episodic Visits To Continuous Care
Hypertension is a leading cause of heart attack and stroke, and one of the most common chronic diseases physicians treat. Yet tens of millions of patients still have blood pressure levels that remain dangerously high.
Using vibe coding, physicians can build simple tools that reflect how they would manage hypertension if they could check in with patients more often.
How doctors might vibe code this problem: A physician would instruct an AI vibe-coding tool to create a simple application that asks patients to enter two or three blood pressure readings each day using an automated home monitor (many cost $20 to $30 online).
The doctor would tell the program how to interpret those readings, using the same clinical parameters applied during office visits. For example:
If average readings remain stable and within the target range, reassure the patient and encourage continued lifestyle habits.
If readings trend upward over several days, prompt the patient to review diet, exercise or medication adherence.
If readings exceed a defined clinical threshold, advise the patient to contact the office or schedule a telehealth visit.
2. Pre-Procedure Preparation: Optimizing Clinical Results
Whether a patient is going in for a colonoscopy, cardiac catheterization or surgical procedure, proper preparation is essential for achieving the best outcomes.
Yet procedures are often delayed or cancelled because patients misunderstand instructions about medications, fasting or laboratory testing.
Traditionally, clinicians provide these instructions via printed handouts after a brief in-office discussion. Among patients, confusion is common. Some never read the materials. Others forget key details: When should I stop eating? Which medications should I pause? What tests must be completed before the procedure?
A vibe-coded tool could streamline and reinforce this process. The physician would create a simple interactive guide that walks patients through preparation, step by step, allowing the individual to ask clarifying questions.
The result: fewer missed preparation steps, smoother procedural scheduling and better clinical outcomes.
3. Post-Operative Care: Earlier Signals, Less Guesswork
Immediately after surgery, patients or their families typically receive a multipage printout describing warning signs (redness, swelling, fever or drainage) and instructions to call if concerns arise.
Some do. Many hesitate. Often, small problems are ignored, and many worsen.
A vibe-coded tool would allow patients to upload a daily photo of the surgical site, taken under consistent lighting, for comparison. Patients would answer a few standardized questions: pain level, presence of swelling, drainage or fever and other new symptoms.
The software would then evaluate these inputs and respond based on the clinician’s vibe-coded instructions:
If healing appears normal, the patient receives reassurance and routine care instructions.
If the image or symptom pattern suggests a possible complication, the system prompts the patient to contact the surgical team or schedule a follow-up visit.
This generative AI solution would provide patients with clear guidance during recovery and allow clinicians to intervene quicker if an infection develops.
4 Tips For Vibe Coding Clinical Care Tools
Physicians interested in experimenting with vibe coding (whether building tools themselves or working with a low-cost developer), should start small. This approach works best when complex clinical challenges are broken into manageable parts.
Focus on a single clinical problem. Rather than trying to build a tool to address every chronic disease or every surgical procedure, begin with one condition or one type of operation.
Decide what data the tool should collect. Tell the coding platform exactly what patients should enter and how frequently, such as daily blood-pressure readings, symptom checklists, wound images or pain ratings.
Define how the system should interpret that information. Give clear if/then directions (if X happens, then do Y), similar to training a medical assistant. Specific instructions lead to more dependable guidance.
Refine the system over time. As with any coding project, vibe coding requires iterative testing and refinement. The advantage of vibe coding is that updates can be made quickly and at low cost.
Until recently, supporting patients after they left the office meant scheduling phone calls or telemedicine visits. Vibe coding changes that. Physicians can now create simple, affordable digital tools that monitor and guide patients between visits, based on their own clinical approaches. The result would be better chronic disease control, more reliable procedural preparation and earlier recognition of complications.
Tomi Engdahl says:
What’s New in NotebookLM (2026)? A Deep Dive Into Its Latest Features
Every update continues to surprise me
https://levelup.gitconnected.com/whats-new-in-notebooklm-2026-a-deep-dive-into-its-latest-features-4c73ac6dee8a
NotebookLM has become a key product in the Google ecosystem. It uses advanced large language models to help users interact effectively with a range of sources and gain deeper insights from them. Additionally, it is equipped with a suite of tools that allows users to extract maximum value from their materials.
In my view, it is an essential tool you should know and be able to use in the new AI era. Google thinks the same, recognizing the importance of NotebookLM and continually investing in improving the tool. In this article, we will explore in detail the recent enhancements introduced in 2026 and how they can help you get the most insights from your sources (believe me, you will be surprised!).
What is NotebookLM?
NotebookLM functions as a Retrieval-Augmented Generation (RAG) tool, allowing users to chat directly with their own documents. The learning curve is very short, and you can get familiar with the tool in just a few hours. With NotebookLM, you can upload documents in multiple formats and ask questions about their content instantly.
The main limitation is that users cannot control any step of the RAG pipeline. On the other hand, this simplicity makes NotebookLM extremely easy to use. You do not need any technical knowledge to set up a RAG system using NotebookLM.
Tomi Engdahl says:
https://www.uusiteknologia.fi/2025/11/07/tekoaly-tuli-teknologiamessuille/
Tomi Engdahl says:
I set up Claude Code the way its creator does, and the difference is night and day
https://www.xda-developers.com/set-up-claude-code-like-boris-cherny/
Even if you haven’t written a line of code before, I would simply not believe you if you tell me you haven’t heard of Claude Code. I’d go as far as saying it’s today’s version of what ChatGPT was when it first launched — the thing everyone’s talking about, whether they fully understand it or not.
Claude Code is Anthropic’s agentic coding tool that lives in the terminal. It can write, test, and ship code, all with you talking to it in plain English, just like you would with any AI chatbot. What a lot of people know about Claude Code is how it actually came about. It began as a side project by Boris Cherny, a former Meta engineer, during his very first month at Anthropic.
When the tool was shared internally, Anthropic’s engineers quickly adopted it. Eventually, the company decided to launch it publicly in May 2025, by which point over 80% of the company’s engineers were using it daily. A couple of days ago, I watched a podcast where Boris Cherny discussed his Claude Code setup. Naturally, my next step was setting it up the way he does.
Tomi Engdahl says:
Tekoäly tekee kyberuhkista työläämpiä – pian puolet selvitystyöstä liittyy AI:hin
https://etn.fi/index.php/13-news/18675-tekoaely-tekee-kyberuhkista-tyoelaeaempiae-pian-puolet-selvitystyoestae-liittyy-ai-hin
Tekoälyn nopea yleistyminen ei näy kyberturvassa pelkästään uusina uhkina, vaan ennen kaikkea kasvavana työmääränä. Analyytikkoyhtiö Gartner ennustaa, että vuoteen 2028 mennessä jopa puolet yritysten tietoturvapoikkeamien selvitystyöstä kohdistuu tekoälysovelluksiin liittyviin tapauksiin.
Kyse ei ole siitä, että tekoäly aiheuttaisi puolet kaikista kyberuhkista. Gartnerin mukaan muutos näkyy erityisesti siinä, kuinka työläitä AI:hin liittyvät tapaukset ovat. Kun perinteinen tietoturvapoikkeama voidaan usein rajata ja korjata nopeasti, tekoälysovelluksiin liittyvät ongelmat ovat monimutkaisempia ja vaativat enemmän analyysiä.
- AI kehittyy nopeasti, mutta monia erityisesti räätälöityjä sovelluksia otetaan käyttöön ennen kuin ne on testattu kunnolla. Ne ovat monimutkaisia, dynaamisia ja vaikeita suojata ajan mittaan, toteaa Gartnerin analyytikko Christopher Mixter.
Tekoälysovellukset tuovat mukanaan uudenlaisia riskejä. Näihin kuuluvat esimerkiksi prompt injection -hyökkäykset, datan väärinkäyttö sekä tilanteet, joissa malli paljastaa arkaluonteista tietoa. Lisäksi AI-järjestelmät kytkeytyvät usein useisiin muihin järjestelmiin, mikä kasvattaa hyökkäyspintaa ja tekee ongelmien juurisyiden selvittämisestä hankalaa.
Analyytikkoyhtiö suosittelee, että tietoturvajohto osallistuu tekoälyhankkeisiin jo niiden alkuvaiheessa. Näin voidaan varmistaa, että suojaus, resurssit ja riskienhallinta suunnitellaan osaksi järjestelmiä alusta lähtien – eikä vasta ongelmien ilmetessä.
Laajemmin Gartner arvioi, että tekoäly muuttaa kyberturvan painopistettä usealla rintamalla. Yritykset ottavat käyttöön AI-turva-alustoja hallitakseen kolmansien osapuolten palveluita ja omia sovelluksiaan, samalla kun datan hallinta ja sääntelyn noudattaminen nousevat keskeisiksi haasteiksi.
Tomi Engdahl says:
HiClaw is an open-source Collaborative Multi-Agent OS for transparent, human-in-the-loop task coordination via Matrix rooms.
https://github.com/alibaba/hiclaw
Tomi Engdahl says:
Ajatus: Pitäisikö softa-arkkitehtuurin käsitteistöön lisätä frontendin ja backendin lisäksi “AI-end”. Se olisi se osuus sovelluksista, jonka koodin parissa tekoäly saa mellestää ihan vapaasti aiheuttamatta mitään merkittäviä haittoja sovelluksen toiminnalle ja rakenteelle.
Hiljalleen “AI-end” laajenee tekoälyjen tullessa yhä fiksummiksi, mutta juuri nyt se on vielä rajattu. Selkeästä rajaamisesta olisi etua, koska se toisi myös täyden vapauden käyttää tekoälyä kehityksessä rajojen sisäpuolella.
Tomi Engdahl says:
Fyysinen todellisuus toimii vallihautana, sillä toisin kuin koodia, tekoäly ei voi fyysisesti louhia raaka-aineita tai pystyttää tehtaita ilman suuria määriä pääomaa ja aikaa. Lue lisää: https://www.hcp.fi/blog-posts/tekoalydisruptio-ohjelmistosektorilla #sijoittaminen #varainhoito
Tomi Engdahl says:
Ohjelmistosektori ohuella jäällä
Sijoitusmaailman pitkäaikainen totuus ”ohjelmistot syövät maailman” on kokenut vuonna 2026 rajun täyskäännöksen. Agenttipohjaisen tekoälyn ja autonomisten koodausratkaisujen nopea kehitys on asettanut perinteiset SaaS-yhtiöt (Software as a Service) ennennäkemättömän paineen alaisiksi. Sijoittajat ovat alkaneet kyseenalaistaa kalliit, käyttäjäpohjaiset lisenssimaksut maailmassa, jossa tekoäly voi rakentaa ja ylläpitää räätälöityjä työkaluja murto-osalla aiemmasta hinnasta.
Tämä on johtanut historialliseen myyntiaaltoon ohjelmistosektorilla. Kuten oheinen kuvaaja osoittaa, ohjelmistosektoria kuvaava IGV-indeksi (iShares Expanded Tech-Software Sector ETF) on suorastaan romahtanut, kun taas arvoyhtiöitä painottava IWN (iShares Russell 2000 Value ETF) on pitänyt pintansa ja jopa jatkanut nousuaan.
Markkina hinnoittelee nyt “disruptioalennusta” yhtiöille, joiden liikevaihto perustuu pelkkään manuaalisen työn tehostamiseen.
Atomeja ei voi koodata
Vaikka tekoäly voi hetkessä muokata tai rakentaa koodin digitaalisessa maailmassa, se kohtaa rajansa fyysisessä maailmassa. Raskas teollisuus, kaivostoiminta ja logistiikka nauttivat suojasta, jota bittien maailmassa ei enää ole. Tekoäly ei voi louhia kultaa tai kuparia yhdellä promptilla. Pystyttääkseen uuden tehtaan tai avatakseen uuden kaivoksen, yritys tarvitsee paljon pääomaa, vuosia kestäviä lupaprosesseja ja suuren määrän fyysistä työtä.
Tämä luo näille sektoreille korkean kilpailukynnyksen. Tekoäly toimii näillä aloilla tehostajana, esimerkiksi optimoimalla louhintaprosesseja tai ennustamalla laiterikkoja, mutta se ei poista tarvetta itse fyysiselle omaisuudelle. Mitä helpommaksi ohjelmistojen kopiointi muuttuu, sitä arvokkaammaksi muuttuvat ne yhtiöt, joilla on hallussaan todellisia, fyysisiä resursseja.
Tekoäly on “CapEx-syöppö”
Markkinoilla vallitsee tällä hetkellä mielenkiintoinen ristiriita. Tekoälyvallankumous vaatii massiivisia investointeja konesaleihin, sähköverkkoihin ja prosessoreihin, mikä sitoo yritysten pääomia vuosiksi eteenpäin. Samaan aikaan moni perinteinen arvoyhtiö operoi täysin päinvastaisella logiikalla: ne eivät tavoittele spekulatiivista kasvua, vaan keskittyvät maksimoimaan nykyisen liiketoimintansa tehokkuuden.
HCP Quantin salkun keskimääräinen P/CF (hinta/kassavirta) on 4,53. Tämä tarkoittaa, että sijoittajat saavat huomattavan määrän kovaa käteistä suhteessa sijoitettuun pääomaan jo tänään. Vertailun vuoksi, tekoälyhypen keskellä olevilla ohjelmistoyhtiöillä vastaavat kertoimet voivat olla kymmenkertaisia, ja niiden vapaa kassavirta kuluu usein pelkkään kilpajuoksuun pysyäkseen relevanttina.
Tomi Engdahl says:
Tekoäly muutti pilvipalveluiden pelisäännöt: nyt ratkaisee laskentateho
https://www.cgi.com/fi/fi/blogi/pilvipalvelut-ja-hybridi-it/tekoaly-muutti-pilvipalveluiden-pelisaannot?utm_source=facebook&utm_medium=paidsocial&utm_campaign=fi_ci_blog&utm_content=fi&fbclid=IwdGRjcAQoaFNleHRuA2FlbQEwAGFkaWQAAAZDXj98-nNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHrFKXv8-lNdZW_ORg7S76iW-ZbqXLwcww-MrwCseaFCCAxzpvJSi8wEF1DMX_aem_ilsMpUWRd3GJeWMc2fxQvA&utm_id=6886410171354&utm_term=6886410171754
Tekoäly on noussut keskeiseksi osaksi liiketoimintaa, päätöksentekoa ja kilpailukykyä. Samalla monessa organisaatiossa huomataan, että tekoälyn hyödyntämisen suurin haaste ei olekaan enää käyttökohteet tai data, vaan laskentateho.
Kun tekoälymallit kasvavat, niiden kouluttaminen ja käyttö vaativat valtavasti kapasiteettia. Pilvipalveluiden aikakaudella totuttiin ajatukseen, että teho on rajaton ja aina saatavilla. Nyt tämä oletus ei enää pidä paikkaansa. GPU-resurssit ovat niukkoja, energiakustannukset nousevat ja sääntely kiristyy.
Siksi laskentatehosta on tullut uusi valuutta. Se määrittää, kuka pystyy kehittämään tekoälyä nopeasti, turvallisesti ja kustannustehokkaasti.
Kyse ei ole teknologiasta vaan liiketoiminnan jatkuvuudesta
Yritysten ja julkisten organisaatioiden näkökulmasta tämä muutos on merkittävä. Tekoälyratkaisut eivät toimi irrallaan infrastruktuurista, vaan ne sitovat yhteen datan, energian ja teknologiset valinnat.
Organisaatioiden kilpailukyky ei enää riipu vain koodista, vaan kyvystä hallita omaa laskentaketjuaan:
missä data sijaitsee ja kenen hallinnassa se on
millä energialla tekoälyä ajetaan ja millä kustannuksella
mistä infrastruktuurista olemme aidosti riippuvaisia
kestävätkö valintamme sääntelyn, riskien ja geopoliittisten muutosten paineessa
Digitaalinen suvereniteetti korostuu tässä muutoksessa. Se tarkoittaa kykyä tehdä tietoisia ja hallittuja valintoja teknologian suhteen. Suvereniteetti ei tarkoita eristäytymistä, vaan riippuvuuksien ymmärtämistä ja hallintaa. Ilman tätä organisaatio vuokraa digitaalisen tulevaisuutensa: kustannusrakenne, skaalautuvuus ja reagointikyky määräytyvät ulkopuolelta. Organisaatio, joka ei tunne omaa laskentaketjuaan, altistaa itsensä kustannusyllätyksille, kapasiteettipulalle ja toimintariskeille.
Tomi Engdahl says:
https://www.facebook.com/share/v/17kjuDVorg/
Just released AI POISONING FOR FUN AND PROFIT.
You can get the digital copy for free at http://IMSIRIUS.COM
Tomi Engdahl says:
https://www.uusiteknologia.fi/2026/03/19/nettikaupan-kenkarallia-vauhdittavat-uudet-ai-robotit/
Tomi Engdahl says:
https://www.uusiteknologia.fi/2026/03/19/lujatekoinen-teollisuuskannettava-tekoalylla/
Tomi Engdahl says:
https://etn.fi/index.php/new-products/18683-toughbook-56-tuo-tekoaelyn-kentaelle-ilman-pilveae
Tomi Engdahl says:
https://etn.fi/index.php/13-news/18692-yksi-chatgpt-kysely-kuluttaa-50-kertaa-enemmaen-saehkoeae-kuin-google-haku
Generatiivisen tekoälyn nopea yleistyminen näkyy nyt myös sähkölaskussa. Bestbrokersin keräämän tuoreen analyysin mukaan yksi ChatGPT-kysely kuluttaa keskimäärin noin 18,9 wattituntia energiaa, kun perinteinen Google-haku vie vain noin 0,3 wattituntia. Ero on karkea, mutta suuruusluokka on selvä: tekoälyhaku voi kuluttaa yli 50 kertaa enemmän sähköä per kysely.
Taustalla on perustavanlaatuinen ero siinä, mitä hakukone ja kielimalli tekevät. Google-haku palauttaa linkkejä valmiiksi indeksoidusta datasta. ChatGPT sen sijaan generoi vastauksen ajamalla kyselyn läpi massiivisen neuroverkon, jossa jokainen vastaus syntyy laskennan kautta.
Samalla mittakaava on kasvanut valtavaksi. Arvioiden mukaan ChatGPT käsittelee jo yli kolme miljardia kyselyä päivässä, mikä nostaa päivittäisen energiankulutuksen yli 60 gigawattituntiin. Vuositasolla tämä tarkoittaa noin 22 terawattitunnin kulutusta – enemmän kuin monen pienen valtion koko sähkönkäyttö.
Tomi Engdahl says:
All Stop
Americans’ Anger Against AI Data Centers Is Boiling Over
“The United States congress hasn’t a clue — not a clue — as to how to respond to these revolutionary technologies and protect the American people.”
https://futurism.com/artificial-intelligence/data-center-rage?fbclid=IwdGRjcAQrJgJleHRuA2FlbQIxMQBzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR5xrib1lGhxPMIQEzeXSzFnnw3UMQS1Vyy-qnGoouGxghNnMGWUPKKJRN7hpA_aem_LFKAuec0SZ4JMSK-6KHybg
America really hates data centers. While the rise of grassroots data center opposition makes compelling evidence on its own, a new survey by the Pew Research Center shows just how bad the tech industry’s PR problem really is.
As flagged by 404 Media, the majority of people surveyed said they think data centers are bad for the environment, home energy costs, and quality of life for people living nearby.
Compared to the amount of hate data centers got, there wasn’t a lot of love going around. A paltry 4 percent of Americans said data centers were “mostly good” for the environment, compared to 39 percent who said the opposite. Meanwhile, only 6 percent believed data centers have positive effects on their neighbors’ quality of life and home energy cost, versus 30 percent and 38 percent who said they were “mostly bad,” respectively.
Tomi Engdahl says:
OpenAI is getting the book thrown at them. https://futurism.com/artificial-intelligence/encyclopedia-britannica-sues-openai
Tomi Engdahl says:
Sloppy Training
“Educational” YouTube AI Slop Encourages Kids to Play in Traffic
“I think of this as toddler AI misinformation at an industrial scale.”
https://futurism.com/artificial-intelligence/educational-youtube-ai-slop-play-in-traffic?fbclid=IwdGRjcAQrJ75jbGNrBCsnqGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHsGHPrBWcmCrbLEsx3nsdHqkjH78LFj5zRLjMErbJYbW0IFtstUXzYndWcDd_aem_j1D–jfxCP2wsSkHKCrp-A
YouTube is rife with AI-generated “educational” videos targeting children, and many of the lessons they’re imparting — if there’s a discernible message at all — could be harming their development.
Disturbing new reporting from The 74 and Mother Jones found numerous examples of AI-generated videos either peddling absolute nonsense or damaging lessons to their young intended audience.
In one video that’s supposed to be a nursery rhyme about cars, children ride without a seatbelt and walk in the middle of a road with moving cars behind them.
Another AI-generated sing-a-long video about the US’s 50 states shows garbled state names that don’t match up with the vocals, as kids are asked to learn about “Ribio Island,” “Conmecticut,” “Oklolodia,” and “Louggisslia.”
Carla Engelbrecht, who’s worked for children’s media brands like Sesame Street and PBS Kids, found other child-targeted AI videos showing a baby swallowing whole grapes, which is a choking hazard, or eating honey, which can kill infants. Another showed a baby eating an apple that oozed blood.
It’s not hard to see how the videos could be dangerous.
“This is not neutral content,” echoed Dana Suskind, a professor of surgery and pediatrics at the University of Chicago. “I think of this as toddler AI misinformation at an industrial scale. It’s very risky for the developing brain.”
Tomi Engdahl says:
Back to One
Elon Musk Orders Sweeping Layoffs as xAI Fails to Catch Up
As the AI race heats up, xAI is starting from scratch.
https://futurism.com/artificial-intelligence/elon-musk-orders-layoffs-xai-coding?fbclid=IwdGRjcAQrKGpjbGNrBCsoTGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHth8riyeqwCHqmLYrpz7e0hk5RKYq0Bm-uV5Z23BPUiiI7IcDp52FnrHATZ9_aem_10M0BlqLfsYSmDOR6svOGQ
In a Thursday tweet, Elon Musk said he was looking to rebuild his AI startup xAI “from the foundations up” after admitting it wasn’t “built right first time around.”
The news comes amid a major exodus of cofounders, with a striking majority of them jumping ship over the last year. Amid the resulting leadership vacuum, the Financial Times reported on Friday that Musk had omitted a key detail in his latest missives on his social media platform. According to the paper’s sources, he’s ordered a round of sweeping layoffs at the company after becoming frustrated with a lack of progress on its AI coding software.
Tomi Engdahl says:
Buzz Kill
BuzzFeed Nearing Bankruptcy After Disastrous Turn Toward AI
The pivot to AI isn’t going so great.
https://futurism.com/artificial-intelligence/buzzfeed-disastrous-earnings-ai?fbclid=IwdGRjcAQrKMxjbGNrBCsotWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHs2jmBxZH1fnZPT07puEI5sBuGi-kWs6Xf3sEB1y44A7fImYoPOeJnp-dRJL_aem_2mRfX725BDw9i0fLe2FNQg
In January 2023, BuzzFeed CEO Jonah Peretti announced in a memo to staff that the company was making a hard pivot to AI — years before the word “slop” was added to the public lexicon.
In the memo, which was published roughly two months after OpenAI unveiled its groundbreaking ChatGPT chatbot, Peretti said BuzzFeed would be using the software to enhance the company’s infamous quizzes by generating personalized responses.
The company’s stock price jumped aggressively, from around $3 per share to north of $15. But longer-term, neither insiders nor the public were particularly compelled by the move. Nonetheless, Peretti doubled down, promising in May 2023 that AI will “replace the majority of static content” on the site, just a month after shuttting down its Pulitzer Prize-winning BuzzFeed News division.
Reality soon set in. The AI quizzes were underwhelming, and the site was soon caught publishing entire AI-generated articles that were sloppy and repetitive. After the initial spike in enthusiasm, the company’s stock took a massive beating; as of this week, its shares are hovering around 70 cents.
Now, three years after its AI pivot, the writing is on the wall. The company reported a net loss of $57.3 million in 2025 in an earnings report released on Thursday. In an official statement, the company glumly hinted at the possibility of going under sooner rather than later, writing that “there is substantial doubt about the Company’s ability to continue as a going concern.”
Tomi Engdahl says:
‘Dune’ tried to warn us against AI
‘Thou shalt not make a machine in the likeness of a human mind.’
https://www.popsci.com/technology/dune-ai-warning/
Taking place well before the events of Dune itself, the Butlerian Jihad was a nearly century-long, interplanetary revolt that saw humanity racing to destroy all of its advanced computers, artificial intelligence systems, and other “thinking machines.” The underlying cause wasn’t that sentient robots were attempting to eradicate humans, however. Instead, our species’ overreliance on the programs had generated an upper ruling class of technocrats that soon presided over all aspects of society. It wasn’t so much that humanity was afraid of AI, as much as they were afraid of the people who designed and controlled the AI. The Butlerian Jihad ultimately resulted in the obliteration of all thinking machines, as well as a wholesale ban on any new robotic creations.
“Thou shalt not make a machine in the likeness of a human mind,” reads one of the ensuing, in-universe religious texts.
Dune’s author didn’t necessarily intend the Butlerian Jihad to be an ominous warning. If anything, it was a clever way to bypass dealing with distant future AI concepts and focus on Herbert’s interests in power dynamics, gender, and societal structures. Even so, it’s hard not to get a little weirded out by a passage from Dune that is once again making the rounds on social media.
“Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them,” a character explained to protagonist Paul Atreides early in the first novel.
Tomi Engdahl says:
Google developers find that with AI, judgment is more important than JavaScript
https://www.businessinsider.com/ai-coding-changing-software-developer-role-2026-3
AI-driven coding is reshaping tech jobs, shifting developers to design and management roles.
Engineers are managing multiple AI agents, which boosts productivity but could risk burnout.
Google is helping teams keep up by training employees and sharing tips on new AI tools.
Tomi Engdahl says:
Tekoäly auttaa rakentamaan kestävämpiä kaupunkeja
Tulevaisuudessa kaupunkisuunnittelija voi testata uuden liikennejärjestelyn vaikutukset ilmanlaatuun, hiilidioksidipäästöihin ja asukkaiden hyvinvointiin ennen kuin yhtäkään katukiveä on nostettu.
https://www.helsinki.fi/fi/uutiset/tekoaly/tekoaly-auttaa-rakentamaan-kestavampia-kaupunkeja
Tomi Engdahl says:
Salt Security Launches Industry’s First Agentic Security Platform for the AI Stack Across LLMs, MCP Servers and APIs
https://www.prnewswire.com/news-releases/salt-security-launches-industrys-first-agentic-security-platform-for-the-ai-stack-across-llms-mcp-servers-and-apis-302716939.html