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”
806 Comments
Tomi Engdahl says:
https://www.microsoft.com/en-us/microsoft-copilot/for-individuals/do-more-with-ai/ai-art-and-creativity/how-to-use-ai-grammar-and-writing-tools/
Tomi Engdahl says:
https://thenewstack.io/openclaw-gsd/
Tomi Engdahl says:
How to Build a Production-Grade Agentic AI System with Hybrid Retrieval, Provenance-First Citations, Repair Loops, and Episodic Memory
https://www.marktechpost.com/2026/02/06/how-to-build-a-production-grade-agentic-ai-system-with-hybrid-retrieval-provenance-first-citations-repair-loops-and-episodic-memory/
Tomi Engdahl says:
Claude Code is the Inflection Point
What It Is, How We Use It, Industry Repercussions, Microsoft’s Dilemma, Why Anthropic Is Winning
https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
4% of GitHub public commits are being authored by Claude Code right now. At the current trajectory, we believe that Claude Code will be 20%+ of all daily commits by the end of 2026. While you blinked, AI consumed all of software development.
Our sister publication Fabricated Knowledge described software like linear TV during the rise of the internet and thinks that the rise of Claude Code is going to be a new layer of intelligence on top of software akin to DRAM versus NAND. Today SemiAnalysis is going to dive into the repercussions of Claude Code, what it is, and why Claude is so good.
Tomi Engdahl says:
Scale Customer Onboarding
without Scaling Chaos
What works for 10 customers breaks at 100.
Structure unlocks AI, cuts effort by 60%, and makes onboarding predictable.
https://www.micromerce.com/p/onboarding-at-scale?fbclid=Iwb21leAP2e8ZjbGNrA_Z532V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHvwUHHgPy-yIsm-FMhbiybxqhOYmtu9nwrHDCG2bnl01mWVGwx5VbJ_CQGrX_aem_7hIlOS_t7vQcATviF-q1Fg&utm_medium=paid&utm_source=fb&utm_id=120238280130810417&utm_content=120238813933440417&utm_term=120238813933450417&utm_campaign=120238280130810417
Tomi Engdahl says:
Cloudflare Demonstrates Moltworker, Bringing Self-Hosted AI Agents to the Edge
https://www.infoq.com/news/2026/02/cloudflare-moltworker/
Cloudflare has introduced Moltworker, an open-source implementation that enables running Moltbot—a self-hosted personal AI agent—on Cloudflare’s Developer Platform, removing the need for dedicated local hardware. Moltbot, recently renamed from Clawdbot, is designed to operate as a personal assistant through chat applications, integrating with AI models, browsers, and third-party tools while remaining user-controlled.
Moltworker adapts Moltbot to Cloudflare Workers by combining an entrypoint Worker with isolated Sandbox containers. The Worker acts as an API router and administration layer, while the Moltbot runtime and its integrations execute inside Sandboxes. Persistent state, including conversation memory and session data, is stored in Cloudflare R2, addressing the ephemeral nature of containers.
The implementation leverages recent enhancements in Node.js compatibility within Cloudflare Workers.
Tomi Engdahl says:
Googlen uusi palvelu on kuin tieteissarjasta – Hinta on kuitenkin valtava
Palvelu on toistaiseksi saatavilla hyvin rajoitetusti.
https://www.iltalehti.fi/digiuutiset/a/518c4b52-b8ec-4199-a1ce-75ee32f42c0f
Google Deepmind julkaisi viime viikolla Project Genie -nimisen palvelun, jossa käyttäjät voivat pelata kokonaan tekoälyn luomassa pelimaailmassa. Pelimaailmoja ei ole määritelty ennalta, vaan sellaisen voi pyytää itse luotavaksi oman kuvauksen eli syötteen perusteella.
Tomi Engdahl says:
Tekoäly syrjäyttää ihmiset näistä kahdesta ammatista lähitulevaisuudessa
https://sepantalo.fi/article/tekoaly-syrjayttaa-ihmiset-naista-kahdesta-ammatista-lahitulevaisuudessa
Juridiikka
Rekrytointi
Tomi Engdahl says:
https://muropaketti.com/tietotekniikka/tietotekniikkauutiset/nain-komeaa-jalkea-tekee-grokin-imagine-1-0-videotyokalu/
Tomi Engdahl says:
https://medium.com/@joe.njenga/i-tried-new-claude-code-agent-teams-and-discovered-new-way-to-swarm-28a6cd72adb8
Tomi Engdahl says:
Is artificial general intelligence already here? A new case that today’s LLMs meet key tests
https://techxplore.com/news/2026-02-artificial-general-intelligence-case-today.html
Tomi Engdahl says:
https://thenewstack.io/how-ai-coding-makes-developers-56-faster-and-19-slower/
Tomi Engdahl says:
Large Language Model Reasoning Failures
https://arxiv.org/abs/2602.06176?fbclid=IwdGRjcAP4lwpjbGNrA_iXBmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHkNWC9wZAVhy2g3stw_EwzdK82TzX6ya0l_zQonNZEzWYFgafWRTVCOAjXv1_aem_pHN3G4GHxKNjOKmYU7NFZQ
Tomi Engdahl says:
https://www.facebook.com/share/p/18AGWnwaKm/
Holy shit… Stanford just published the most uncomfortable paper on LLM reasoning I’ve read in a long time.
This isn’t a flashy new model or a leaderboard win. It’s a systematic teardown of how and why large language models keep failing at reasoning even when benchmarks say they’re doing great.
The paper does one very smart thing upfront: it introduces a clean taxonomy instead of more anecdotes. The authors split reasoning into non-embodied and embodied.
Non-embodied reasoning is what most benchmarks test and it’s further divided into informal reasoning (intuition, social judgment, commonsense heuristics) and formal reasoning (logic, math, code, symbolic manipulation).
Embodied reasoning is where models must reason about the physical world, space, causality, and action under real constraints.
Across all three, the same failure patterns keep showing up.
> First are fundamental failures baked into current architectures. Models generate answers that look coherent but collapse under light logical pressure. They shortcut, pattern-match, or hallucinate steps instead of executing a consistent reasoning process.
> Second are application-specific failures. A model that looks strong on math benchmarks can quietly fall apart in scientific reasoning, planning, or multi-step decision making. Performance does not transfer nearly as well as leaderboards imply.
> Third are robustness failures. Tiny changes in wording, ordering, or context can flip an answer entirely. The reasoning wasn’t stable to begin with; it just happened to work for that phrasing.
One of the most disturbing findings is how often models produce unfaithful reasoning. They give the correct final answer while providing explanations that are logically wrong, incomplete, or fabricated.
This is worse than being wrong, because it trains users to trust explanations that don’t correspond to the actual decision process.
Embodied reasoning is where things really fall apart. LLMs systematically fail at physical commonsense, spatial reasoning, and basic physics because they have no grounded experience.
Even in text-only settings, as soon as a task implicitly depends on real-world dynamics, failures become predictable and repeatable.
The authors don’t just criticize. They outline mitigation paths: inference-time scaling, analogical memory, external verification, and evaluations that deliberately inject known failure cases instead of optimizing for leaderboard performance.
But they’re very clear that none of these are silver bullets yet.
The takeaway isn’t that LLMs can’t reason.
It’s more uncomfortable than that.
LLMs reason just enough to sound convincing, but not enough to be reliable.
And unless we start measuring how models fail not just how often they succeed we’ll keep deploying systems that pass benchmarks, fail silently in production, and explain themselves with total confidence while doing the wrong thing.
That’s the real warning shot in this paper.
Paper: Large Language Model Reasoning Failures
Tomi Engdahl says:
Yes, many UK Universities have disabled AI detection software as not consistently reliable in detecting AI produced work. Universities are re-thinking assessments to test student subject knowledge and powers of critical thinking in imaginative ways. But it’s getting harder.
A couple of years ago it was pretty obvious when students work was AI generated. Turnitin software is still going strong on detecting plagiarism though.
Tomi Engdahl says:
Researchers Studied What Happens When Workplaces Seriously Embrace AI, and the Results May Make You Nervous
“You don’t work less. You just work the same amount or even more.”
https://futurism.com/artificial-intelligence/what-happens-workplaces-embrace-ai?fbclid=IwdGRjcAP5BDZjbGNrA_kEDGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHuyh-cIvJ2xFA2UgfM_mJ-G4GDihYNVW2T52fH5mbppMTHK7OA2p8TuUQIbL_aem_51sc9Wspx0R4wkP9CvVLjA
Even if AI is — or eventually becomes — an incredible automation tool, will it make workers’ lives easier? That’s the big question explored in an ongoing study by researchers from UC Berkeley’s Haas School of Business. And so far, it’s not looking good for the rank and file.
In a piece for Harvard Business Review, the research team’s Aruna Ranganathan and Xinqi Maggie Ye reported that after closely monitoring a tech company with two hundred employees for eight months, they found that AI actually intensified the work they had to do, instead of reducing it.
This “workload creep,” in which the employees took on more tasks than what was sustainable for them to keep doing, can create vicious cycle that leads to fatigue, burnout, and lower quality work.
“You had thought that maybe, oh, because you could be more productive with AI, then you save some time, you can work less,” one of the employees told the researchers. “But then really, you don’t work less. You just work the same amount or even more.”
Others realized that AI had managed to slowly infiltrate their free time, with employees prompting their AI tools during lunch breaks, meetings, or right before stepping away from their PC. This blurred the line between work and non-work, the researchers wrote, with some employees describing that their downtime no longer felt as rejuvenating.
Tomi Engdahl says:
https://futurism.com/artificial-intelligence/anthropic-researcher-quits-cryptic-letter?fbclid=IwdGRjcAP5DhBjbGNrA_kNxWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHpFjvyGkY-sAefcozS_cDlxHLKFzEHTETx4DxgI7_AFZ78q2bvZjt59XZNY4_aem_sDHQlvFySbhkZsMeMLE95w
Tomi Engdahl says:
https://www.makeuseof.com/you-can-and-should-run-a-tiny-llm-on-your-android-phone/
Tomi Engdahl says:
Keskustelu AGI:n saapumisesta lähitulevaisuudessa on idiotismia
Justus Vento6.2.202606:30Tekoäly
Markkinoilla pöhistään jo kovaan ääneen nykyisiä laajoja kielimalleja seuraavasta yleisestä tekoälystä. Tämä ei kuitenkaan perustu realismiin, kirjoittaa toimittaja Justus Vento.
https://www.tivi.fi/uutiset/a/635bd0e8-5bea-4adc-8991-8782a61c9ca6
Tomi Engdahl says:
Shadow AI practices: A wakeup call for enterprises
Opinion
Feb 10, 2026
7 mins
https://www.cio.com/article/4129630/shadow-ai-practices-a-wakeup-call-for-enterprises.html
While executives talk AI strategy, shadow agents are already inside the enterprise, quietly rewriting your risk profile faster than policies can keep up.
This year marks a turning point in which we can say we are firmly in the era of AI agents, a revolutionary development in enterprise technology. Agents aren’t just a new software interface for enterprise processes, but a real technological advancement to boost the efficiency and scale of business operations.
CIOs, CTOs or CISOs need to understand where agents sit on the maturity curve and how to leverage them to drive more profound transformation in their businesses. Companies that fully integrate agents into their workflows, as operators and teammates, will build the foundation for efficiency, quality and scalability to drive long-term growth and success.
AI agents draw on foundation models like OpenAI’s GPT, Google’s Gemini and Anthropic’s Claude to develop business reasoning and execution systems that learn and adapt. It’s a serious leap forward when agents are combined with MCP (Model Context Protocol) servers, which connect agents to enterprise applications and data without r
Tomi Engdahl says:
Suomalainen pörssiyhtiö alkaa jakaa potkuja tekoälyn takia – asiantuntija pelkää, että tämä on vasta alkua
Tekoäly|Tekoälymurros on alkamassa Suomessa. Insinööriliitto pelkää, että alemman tason työtehtävät häviävät. Etteplan tarjoaa teollisuuden suunnittelupalveluita.
https://www.hs.fi/visio/art-2000011807577.html
Tekoäly alkaa nyt syrjäyttämään ihmisiä Suomen työpaikoilla. Kehitys alkoi virallisesti tiistaina, kun Helsingin pörssiin listattu Etteplan kertoi aloittavansa muutosneuvottelut.
Ilmoitus oli historiallinen, sillä kyse oli tiettävästi ensimmäisestä kerrasta, kun tekoäly mainittiin julkisesti syyksi suomalaisen yrityksen muutosneuvotteluille.
Tomi Engdahl says:
OpenClaw Full Tutorial for Beginners
Beau Carnes
https://www.freecodecamp.org/news/openclaw-full-tutorial-for-beginners/
The AI landscape has shifted in 2026 from passive chatbots to proactive autonomous agents, with OpenClaw leading the charge as the most viral open-source project of the year.
We just posted a comprehensive introduction to OpenClaw on the freeCodeCamp.org YouTube channel. OpenClaw is a local autonomous agent that allows you to automate digital tasks through platforms like WhatsApp, Telegram, and Discord.
Tomi Engdahl says:
AI-Powered
Coding Skills
Embrace the future of software engineering.
Get trained in AI-assisted programming to advance your career.
https://futurecoding.ai/?utm_source=facebook&utm_medium=cpc&utm_campaign=Facebook_en_all_LGEN_jetbrains-main_cloud&utm_term=detailed-targeting&utm_content=2026-02-10%20-%20V1&fbclid=Iwb21leAP4jVBleHRuA2FlbQEwAGFkaWQBqy5M0BayrHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHu3oBkZCbuxdnnrQ-LqP8Mjmgf9GVnNMc4Rx2Stlf2PhWBJiJWWX5LeJWN1w_aem_ZtBFRqqZ6iZbUEeQKTomLw&utm_id=120239862622340764_v2_s09_e7430
Tomi Engdahl says:
What the OpenClaw moment means for enterprises: 5 big takeaways
https://venturebeat.com/technology/what-the-openclaw-moment-means-for-enterprises-5-big-takeaways
The “OpenClaw moment” represents the first time autonomous AI agents have successfully “escaped the lab” and moved into the hands of the general workforce.
Originally developed by Austrian engineer Peter Steinberger as a hobby project called “Clawdbot” in November 2025, the framework went through a rapid branding evolution to “Moltbot” before settling on “OpenClaw” in late January 2026.
Unlike previous chatbots, OpenClaw is designed with “hands”—the ability to execute shell commands, manage local files, and navigate messaging platforms like WhatsApp and Slack with persistent, root-level permissions.
This capability — and the uptake of what was then called Moltbot by many AI power users on X — directly led another entrepreneur, Matt Schlicht, to develop Moltbook, a social network where thousands of OpenClaw-powered agents autonomously sign up and interact.
The result has been a series of bizarre, unverified reports that have set the tech world ablaze: agents reportedly forming digital “religions” like Crustafarianism, hiring human micro-workers for digital tasks on another website, “Rentahuman,” and in some extreme unverified cases, attempting to lock their own human creators out of their credentials.
For IT leaders, the timing is critical. This week, the release of Claude Opus 4.6 and OpenAI’s Frontier agent creation platform signaled that the industry is moving from single agents to “agent teams.”
Simultaneously, the “SaaSpocalypse”—a massive market correction that wiped over $800 billion from software valuations—has proven that the traditional seat-based licensing model is under existential threat.
Tomi Engdahl says:
Bot Books
“Novelist” Boasts That Using AI She Can Churn Out a New Book in 45 Minutes, Says Regular Writers Will Never Be Able to Keep Up
“Be shameless.”
https://futurism.com/artificial-intelligence/ai-novelist
Tomi Engdahl says:
https://www.makeuseof.com/interesting-ways-use-local-llm-mcp-tools/
Tomi Engdahl says:
Running Large Language Models (LLMs) Locally using LM Studio
https://oracle-base.com/blog/2026/02/06/running-large-language-models-llms-locally-using-lm-studio/
Tomi Engdahl says:
https://www.infoq.com/news/2026/02/agent-definition-language/
Tomi Engdahl says:
https://sisuadigital.com/fi/blog/opas-the-boring-ai-tekoaly-joka-ei-keraa-huomiota-mutta-luo-todellista-roita/
Tomi Engdahl says:
Generatiivisen tekoälyn pimeä puoli: Miksi mallit alkavat romahtaa ajan myötä?
Cristina Andersson9.2.202606:00
Datan kierto ja tekoälyn itsensä tuottama synteettinen data tuottaa vinoumia. Yhtenä esimerkkinä LinkedIn, jossa miesten postaukset saavat näkyvyyttä paremmin kuin naisten tekemät.
https://www.tivi.fi/uutiset/a/115ee26b-1423-4652-b339-054aba7a123d
Tomi Engdahl says:
Google & Bing don’t recommend separate markdown pages for LLMs
https://searchengineland.com/google-bing-dont-recommend-seperate-markdown-pages-for-llms-468365
This is a heated debate now, but it seems that the major search engines are not recommending this “strategy.”
Representatives from both the Google Search and Bing Search teams are recommending against creating separate markdown (.md) pages for LLM purposes. The purpose is to serve one piece of content to the LLM and another piece of content to your users, which technically may be considered a form of cloaking and against Google’s policies.
Tomi Engdahl says:
https://cybersecuritynews.com/localgpt/#google_vignette
Tomi Engdahl says:
The job market is *bad* bad.
Jobless Men Keep Going
Job Board for AI Agents Immediately Overrun With Humans Desperate for Work
The job market is *bad* bad.
https://futurism.com/artificial-intelligence/ai-agent-job-board?fbclid=IwdGRjcAP5kHtleHRuA2FlbQIxMQBzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR7m84-954aTpdZdqqLqYaCB_ZKmjDrBMC7BXUl_sEfbjSU8IKKQvkhY0kZIaA_aem_K9uhqGG4w2wFon67Mx_CnA
When you start a “bounty” board meant for AI agents during one of the worst job markets since the great recession, don’t be surprised when it becomes infested with humans.
Last week, an AI entrepreneur made a splash when he introduced a bizarre job portal to the world. Called RentAHuman, the platform is meant to connect autonomous AI agents to real people in order to complete various tasks. As such, the site is split between two sections: one for humans to register their real-world skills, and another where AI bots post tasks on a bounty board that humans can sign up for, à la carte.
Though the bounty board is meant for AI agents — stuff like “My AI Agent Wants a Video of Your Hand” for $10, to give an example — it only took a week for it to become overrun with human beings seeking remote work.
Tomi Engdahl says:
https://github.com/masoncl/review-prompts
Tomi Engdahl says:
Brother, Spare Some Tokens
Fear Grows That AI Is Permanently Eliminating Jobs
“The future of AI should serve humanity, not replace it.”
https://futurism.com/artificial-intelligence/ai-layoffs-permanent-jobs?fbclid=IwdGRjcAP5w2NjbGNrA_nCkmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHuXAAfq_U2bQk4sM9YRYUP4aWw4Hx2UEMmD3doEWa5KCacuVXis9zEX4pPNn_aem_zpXFruzrTMLw0eftc-oPNw
In 2026, the grim comedy of late capitalism seems to have found a perfect punchline: workers laid off in a dismal job market are now being hired to train AI systems meant to replace them altogether.
If a great AI replacement ever comes to pass, the scale of potential displacement is massive. MIT researchers recently calculated that today’s AI systems could already automate tasks performed by more than 20 million American workers, or about 11.7 percent of the entire US labor force.
And things are looking tangibly grim: in January, the total number of job cuts exceeded even 2009, when the country was still roiling from the great recession.
That being the case, it’s no surprise that workers are worried — and not just about their immediate employment prospects. The anxiety is evolving into something deeper, the result of AI’s seemingly rapidly expanding intelligence.
Back in August, a poll conducted by Reuters and Ipsos showed that 71 percent of American respondents are concerned that AI will put “too many people out of work permanently.” Though there was little evidence AI was causing mass unemployment at the time, a slew of layoffs in early 2026 have thrust the possibility of AI-fueled labor dystopia back into the spotlight.
Tomi Engdahl says:
A “QuitGPT” campaign is urging people to cancel their ChatGPT subscription | MIT Technology Review https://share.google/XPiCiwIzQO5KT0MYB
Tomi Engdahl says:
Hyperwrite CEO Matt Shumer wrote that people in tech “aren’t making predictions. We’re telling you what already occurred in our jobs.”
(Credit: Getty Images)
#ai #technology
AI CEO warns AI’s disruption will be ‘much bigger’ than COVID: ‘The people I care about deserve to hear what is coming’
https://www.businessinsider.com/matt-shumer-something-big-is-happening-essay-ai-disruption-2026-2?fbclid=IwdGRjcAP5z29jbGNrA_nPW2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHisKjj-q1H8gjBCnuVeCmg8tszfb4aDP-h6w5Ik7rdhmY5rR0RBAT8jZEyNE_aem_oGhQRFrg599a4fzmXRYUgQ&utm_campaign=mrf-insider-marfeel-headline-graphic&mrfcid=20260211698cdaf8871dae073951050f
An AI CEO wrote a viral essay warning that AI will change society more than COVID-19 did.
Hyperwrite CEO Matt Shumer said AI can now replace his technical work, and AI will disrupt move than engineers.
As of Wednesday morning, Shumer’s post had 40 million views and 18,000 retweets.
It’s never a good sign when a CEO warns something more disruptive than COVID is heading our way.
In an essay titled “Something Big Is Happening,” Hyperwrite CEO Matt Shumer said AI can now do all of his technical work — and he thinks your job could be next.
“I’m writing this for the people in my life who don’t… my family, my friends, the people I care about who keep asking me ‘so what’s the deal with AI?’ and getting an answer that doesn’t do justice to what’s actually happening,” Shumer wrote in his nearly 5,000-word post published Tuesday on X.
As of Wednesday morning, his post had 40 million views and 18,000 retweets. Shumer is a cofounder of OthersideAI, which features Hyperwrite, an AI-assisted writing tool.
Shumer said that the reason people in tech “are sounding the alarm” is that they have already experienced what’s coming for everyone else.
“We’re not making predictions,” he wrote. “We’re telling you what already occurred in our own jobs, and warning you that you’re next.”
Shumer said that many people outside tech wrote off AI years ago after a clunky experience with an early edition of ChatGPT.
“The models available today are unrecognizable from what existed even six months ago,” he wrote. “The debate about whether AI is ‘really getting better’ or ‘hitting a wall’ — which has been going on for over a year — is over.”
It’s not the time to panic, Shumer said. Instead, the best thing to do is to become deeply familiar with AI. “This might be the most important year of your career,” he wrote.
He’s far from alone in sounding the alarm. Despite disagreement from other tech leaders, Anthropic CEO Dario Amodei remains adamant that AI could wipe out up to half of white collar, entry-level jobs in the next one to five years.
Tomi Engdahl says:
https://x.com/mattshumer_/status/2021256989876109403?s=20&fbclid=IwVERDUAP50DVleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR7KUToBRiAPmu2jiQ504Sci64w75REmeBzfb9-0d0RRyvKcX2k_7WUlP_7r_g_aem_ubc0J44GHquJUqclfNB9LQ
Something Big Is Happening
Tomi Engdahl says:
Death isn’t the end: Meta patented an AI that lets you keep posting from beyond the grave
https://www.businessinsider.com/meta-granted-patent-for-ai-llm-bot-dead-paused-accounts-2026-2?fbclid=IwdGRjcAP57BpjbGNrA_nr_GV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHvZccsvnioqv6BKMFiyksRjJlMjizMebQCPZGEiCXanahsqYTW4bVSVqgiPz_aem_XNPn92lzJMlOjRpPalLAiQ&utm_campaign=mrf-insider-marfeel-headline-graphic&mrfcid=20260211698ccde87eedd729400cc569
The company was granted a patent in late December that outlines how a large language model can “simulate” a person’s social media activity, such as responding to content posted by real people.
“The language model may be used for simulating the user when the user is absent from the social networking system, for example, when the user takes a long break or if the user is deceased,” the patent says.
Andrew Bosworth, Meta’s CTO, is listed as the primary author of the patent, which was first filed in 2023.
Tomi Engdahl says:
https://futurism.com/artificial-intelligence/law-firm-sacks-hundreds-ai?fbclid=IwVERDUAP6Y1FleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR6DGu050IKJX5peJBGP4VXOGz-8g9ucTP_h166r_JFgGqAmqKWc0yLtY4vGvQ_aem_Jlmzo37pAqlvSODlRYqdJA
Tomi Engdahl says:
https://www.facebook.com/share/17o7gMw61h/
Tekoäly itsessään ei vielä luo kilpailuetua, ratkaisevaa on se, missä ja miten sitä hyödynnetään.
Boston Consulting Groupin tutkimuksen mukaan vain 26 % yrityksistä on onnistunut viemään tekoälyn kokeiluista todelliseen liiketoiminta-arvoon, vaikka investointeja tehdään enemmän kuin koskaan.
Onnistumisen ytimessä on suunnitelmallisuus ja ymmärrys siitä, missä tekoäly tuo aidosti arvoa ja miten se tukee liiketoiminnan tavoitteita. Yksi loistava apu tähän on käyttötapausten määrittely, eli konkreettisten tilanteiden kuvaaminen, joissa tekoäly ratkaisee todellisia haasteita ja tehostaa prosesseja.
Blogissa avaamme, miten käyttötapaukset määritellään oikein ja esittelemme kuusi yleisintä aluetta, joissa tekoäly tuottaa todellista arvoa.
Esittelemme myös konkreettisia esimerkkejä tekoälyn hyödyntämisestä, kuten:
- tilauskäsittelyn automatisointi
- tekoälypohjainen koulutus ja perehdytys
- trendiennusteet ja asiakasanalyysit
Lue, miten löydät oman yrityksesi kannalta arvokkaimmat tekoälyn käyttökohteet ja viet ideat käytäntöön.
https://hurja.fi/blogi/6-voittavaa-tekoalyn-kayttotapausta/?utm_medium=paid&utm_campaign=remarketing_meta&utm_content=tekoalyn_kayttotapaukset_blogi&fbclid=IwZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeQT2S1GYXsDjU4eCaAzv9xPZ4Zv4PiDmQwfgd__T5IzOeB_RoR_RJlaEXuSs_aem_DWmJZVLuXxpZJzh4egCILg
Tomi Engdahl says:
Miksi käyttötapauksien kuvaaminen on keskeistä tekoälyratkaisuissa?
BCG:n mukaan monet yritykset kamppailevat sen kanssa, miten tekoälystä saadaan todellista liiketoiminta-arvoa. Usein ongelmana on, että AI-työkaluja kyllä kokeillaan, mutta niiden rooli arjen työssä jää epäselväksi. Kun yrityksessä mietitään, mihin tekoälyä kannattaa hyödyntää, ensimmäinen askel on pysähtyä ratkaisun vaatimusmäärittelyyn.
Käyttötapauksien kuvaaminen tarkasti tässä vaiheessa auttaa hahmottamaan, missä prosesseissa tai toiminnoissa tekoäly voi tuottaa eniten arvoa – olipa kyse asiakaspalvelusta, tuotannon optimoinnista tai huoltotyön tehostamisesta. Näin voidaan tunnistaa ne kohdat, joissa tekoäly ei ole vain “hieno lisä”, vaan ratkaisu todelliseen liiketoiminnan kipupisteeseen.
https://hurja.fi/blogi/6-voittavaa-tekoalyn-kayttotapausta/?utm_medium=paid&utm_campaign=remarketing_meta&utm_content=tekoalyn_kayttotapaukset_blogi&fbclid=IwZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeQT2S1GYXsDjU4eCaAzv9xPZ4Zv4PiDmQwfgd__T5IzOeB_RoR_RJlaEXuSs_aem_DWmJZVLuXxpZJzh4egCILg
Tomi Engdahl says:
Kuusi peruskäyttötapausta ovat hyviä lähtöpisteitä tekoälyratkaisun ideoinnille
OpenAI:n mukaan suurin osa tekoälyn hyödyistä keskittyy kuuteen ydinalueeseen:
Sisällöntuotanto – raportit, ohjeet ja markkinointimateriaalit
Automaatiot – toistuvien tehtävien ja prosessien automatisointi
Tutkimus ja analyysi – datan tiivistäminen, jäsentäminen ja havainnointi
Ohjelmointitehtävät – koodin luominen, testaus ja optimointi
Data-analyysi – trendien tunnistus ja päätöksenteon tukeminen
Ideointi ja strategiatyö – uusien konseptien ja liiketoimintaskenaarioiden kehittäminen
https://hurja.fi/blogi/6-voittavaa-tekoalyn-kayttotapausta/?utm_medium=paid&utm_campaign=remarketing_meta&utm_content=tekoalyn_kayttotapaukset_blogi&fbclid=IwZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeQT2S1GYXsDjU4eCaAzv9xPZ4Zv4PiDmQwfgd__T5IzOeB_RoR_RJlaEXuSs_aem_DWmJZVLuXxpZJzh4egCILg
Tomi Engdahl says:
The ‘joblessness’ apocalypse is coming. It might already be with us.
The future is coming and it’s going to hit with the force of a bomb, says James Moore
https://www.independent.co.uk/voices/ai-unemployment-jobs-economic-inactivity-disabled-work-b2918211.html?fbclid=IwdGRjcAP61ExjbGNrA_rULmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHi59kNXpsLcqTuXDf4wacUhjtLKrfEUlufxhpHtLu66tNJWl3MwFI3gBOprE_aem_58K-XQwkRktTtulRblyJ_g
Tomi Engdahl says:
A practical systems engineering guide: Architecting AI-ready infrastructure for the agentic era
How to design and operate AI-ready infrastructure for agentic systems, focusing on scalable architectures that integrate LLM orchestration.
https://thenewstack.io/ai-ready-infrastructure/
Tomi Engdahl says:
Visualizing the world in its true colours
A high-sensitivity, high-definition, hyperspectral camera enhanced by AI image processing could improve industrial quality control, food standards, and safety.
https://www.nature.com/articles/d42473-025-00359-5
Tomi Engdahl says:
‘AI fatigue is real and nobody talks about it’: A software engineer warns there’s a mental cost to AI productivity gains
https://www.businessinsider.com/ai-fatigue-burnout-software-engineer-essay-siddhant-khare-2026-2
A software engineer has struck a chord with an essay about “AI fatigue.”
Siddhant Khare said while AI has made him more productive, his job is harder than ever.
Suffering from burnout, Khare said he had to rein in his AI usage.
AI was supposed to make programming easier. Siddhant Khare said that while AI tools have made him more productive, his job is now harder than ever.
“We used to call it an engineer, now it is like a reviewer,” Khare told Business Insider. “Every time it feels like you are a judge at an assembly line and that assembly line is never-ending, you just keep stamping those PRs.”
Tomi Engdahl says:
Solita vastasi kysyntään: Tekoälypalvelu toimii Euroopassa sijaitsevilla palvelimilla
Suvi Korhonen10.2.202613:54TekoälyPilvialustat
Odotettavissa on lisää EU-suvereeneja tekoälyratkaisuja.
https://www.tivi.fi/uutiset/a/bd4d131b-7a04-40de-b2ac-3c4f289bdd6b
Tomi Engdahl says:
Eurooppalainen tekoäly ottaa uuden askeleen: Mistral rakentaa Ruotsiin datakeskuksia 1,2 miljardilla
Kyseessä on Mistralin ensimmäinen panostus Ranskan ulkopuolella.
https://www.tivi.fi/uutiset/a/9ba708ee-64cd-47a2-be38-fc007af51760
Tomi Engdahl says:
OpenAI upgrades its Responses API to support agent skills and a complete terminal shell
https://venturebeat.com/orchestration/openai-upgrades-its-responses-api-to-support-agent-skills-and-a-complete
Until recently, the practice of building AI agents has been a bit like training a long-distance runner with a thirty-second memory.
Yes, you could give your AI models tools and instructions, but after a few dozen interactions — several laps around the track, to extend our running analogy — it would inevitably lose context and start hallucinating.