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”
1,095 Comments
Tomi Engdahl says:
Sensofusionilla työskentelevän tutkimusjohtaja ja tietoturva-asiantuntija Mikko Hyppösen ja Aalto-yliopiston professori ja Suomen ELLIS-instituutin johtaja Samuel Kasken mukaan kehityksen taustalla on kolme ratkaisevaa voimaa: koko ihmiskunnan tiedon digitalisoituminen, pilvipalvelujen rajaton kapasiteetti ja laskentatehon valtava harppaus GPU-tekniikan ansiosta.
Tomi Engdahl says:
https://venturebeat.com/orchestration/google-finds-that-ai-agents-learn-to-cooperate-when-trained-against
Tomi Engdahl says:
Inside OpenAI’s Race to Catch Up to Claude Code
Why is the biggest name in AI late to the AI coding revolution?
https://www.wired.com/story/openai-codex-race-claude-code/
Tomi Engdahl says:
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Tomi Engdahl says:
MCP’s biggest growing pains for production use will soon be solved
MCP roadmap highlights the priorities maintainers want to solve as the protocol behind AI agents moves into real-world deployments.
https://thenewstack.io/model-context-protocol-roadmap-2026/
Tomi Engdahl says:
I Finally Tested Claude Code /voice — It’s Faster than Typing (Don’t Waste Time)
https://medium.com/@joe.njenga/i-finally-tested-claude-code-voice-its-faster-than-typing-don-t-waste-time-96b4acf7faf1
Tomi Engdahl says:
Microsoft announces Copilot Cowork with help from Anthropic — a cloud-powered AI agent that works across M365 apps
https://venturebeat.com/orchestration/microsoft-announces-copilot-cowork-with-help-from-anthropic-a-cloud-powered
Tomi Engdahl says:
Meet the updated Copilot Notebooks experience: Your home for understanding work, projects, and more
https://techcommunity.microsoft.com/blog/microsoft365copilotblog/meet-the-updated-copilot-notebooks-experience-your-home-for-understanding-work-p/4501383
Tomi Engdahl says:
From draft to done: agentic Copilot in Excel, Word, and PowerPoint
https://techcommunity.microsoft.com/blog/microsoft365copilotblog/from-draft-to-done-agentic-copilot-in-excel-word-and-powerpoint/4500196
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
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.
Tomi Engdahl says:
Making the Cut
Anthropic Announces Jobs Most at Risk From AI
It’s not a bad time to become a dishwasher.
https://futurism.com/artificial-intelligence/anthropic-jobs-most-risk-ai
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
Tomi Engdahl says:
AI Katie Perry
The AI-Generated Tilly Norwood Just Dropped the Worst Music Video We’ve Ever Seen
Who thought this was a good idea?
https://futurism.com/artificial-intelligence/ai-tilly-norwood-worst-music-video
Tomi Engdahl says:
Overspent
Oracle Axing Huge Number of Jobs as AI Crisis Intensifies
A data center project reportedly triggered a “cash crunch.”
https://futurism.com/artificial-intelligence/oracle-jobs-ai-crisis
Tomi Engdahl says:
Peer Pressure
CEOs Say Yeah, AI Might Be a Bubble, But They’re Gonna Keep Shoveling Money Into the Furnace Because All Their Friends Are
“The sentiment about deploying AI is most certainly accelerating.”
https://futurism.com/future-society/ceo-ai-bubble-pressure
Tomi Engdahl says:
Miksi yritys tarvitsee tekoälyjohtajan? ”Seuraavat vuodet ovat kriittisiä”
Tekoäly on mullistavana voimana vähintään samalla tasolla internetin nousun kanssa. Sitä ei pitäisi käsitellä pelkkänä teknologisena muutoksena, vaan suoraan yrityksen strategiaan kuuluvana teemana. DNA:n ensimmäinen tekoälyjohtaja Ville Virtanen kertoo, miksi hänen roolinsa on tärkeä juuri nyt – ja miksi muidenkin yritysten kannattaisi pohtia tekoälyjohtajan nimittämistä.
https://www.dna.fi/yrityksille/blogi/-/blogs/miksi-yritys-tarvitsee-tekoalyjohtajan-seuraavat-vuodet-ovat-kriittisia
Tomi Engdahl says:
https://cybernews.com/news/benjamin-netanyahu-artificial-intelligence-video/
Tomi Engdahl says:
https://www.kdnuggets.com/openclaw-explained-the-free-ai-agent-tool-going-viral-already-in-2026
Tomi Engdahl says:
Federal cyber experts called Microsoft’s cloud a “pile of shit,” approved it anyway
One Microsoft product was approved despite years of concerns about its security.
https://www.propublica.org/article/microsoft-cloud-fedramp-cybersecurity-government
Tomi Engdahl says:
https://devblogs.microsoft.com/all-things-azure/azure-skills-plugin-lets-get-started/
Tomi Engdahl says:
Universal Commerce Protocol ravistelee verkkokauppaa
https://www.generaxion.com/fi/universal-commerce-protocol-ravistelee-verkkokauppaa/
Verkkokauppias, miten tekoälyagentit löytävät tuotteesi?
Digitaalinen ostopolku on hajanaisempi kuin koskaan, ja perinteisen verkkokaupan rajat hämärtyvät vauhdilla. Verkkokaupan seuraava suuri kehitysaskel, Googlen Universal Commerce Protocol (UCP) vie hakukonemarkkinoinnin seuraavalle tasolle: sen on tarkoitus varmistaa, että verkkokauppasi tarjonta on löydettävissä myös siellä, missä hakutulokset alkavat muuttua suoriksi ostotapahtumiksi.
Tomi Engdahl says:
UCP on uusi avoimen lähdekoodin standardi, jonka avulla ostoksia voi tehdä suoraan tekoälyalustoilla, kuten Googlen haun tekoälytilassa tai Gemini-sovelluksessa. UCP luo tekoälyavusteisille ostosagenteille ikäänkuin yhteisen kielen, jonka avulla ne voivat keskustella kauppiaan järjestelmien kanssa. Protokolla pystyy näin välittämään tuotetiedot, saatavuuden sekä hinnan saumattomasti eri alustojen välillä ilman kalliita, räätälöityjä integraatioita.
Tomi Engdahl says:
Arduino’s new AI single-board computer runs Ubuntu
https://www.omgubuntu.co.uk/2026/03/arduino-ventuno-q-ubuntu-edge-ai-board
Qualcomm subsidiary Arduino has announced the VENTUNO Q, a new single-board computer that ships with Ubuntu pre-installed.
This isn’t a board aimed at casual makers or tech tinkerers bored with their Raspberry Pi, but catering to the demands of AI workloads at the edge: robotics, industrial automation, computer vision.
The Ventuno Q is built around Qualcomm’s Dragonwing IQ-8275 processor with CPU, GPU and NPU, which delivers 40 TOPS of AI compute to run large language models, visual language models and computer vision workloads on-device.
It comes with 16GB of LPDDR5 RAM – double what you get on the comparable Jetson Orin Nano Super – and 64GB of eMMC storage. If that’s not enough, there’s an M.2 slot for NVMe expansion. On the connectivity side: Wi-Fi 6, Bluetooth 5.3 and 2.5Gb Ethernet.
Tomi Engdahl says:
Talousjohtajista tuli yhdessä päivässä chief fantastic officereita, kun he pääsivät hackathonissa tekoälykoodaamisen makuun. Oikeanlaisen tunnelman kruunasivat tarjolla olleet energiajuomat ja six-seven-meemitarrat.
Nollasta tekoälykoodariksi päivässä: Talousjohtajat innostuivat hittiyritysten opeista
Suvi Korhonen18.3.202607:00|päivitetty19.3.202608:44TekoälyYritysjärjestelmätDigitalousOhjelmistokehitys
Yritysjohtajien odotetaan nykyisin itsekin osaavan ratkoa ongelmiaan tekoälytyökaluilla.
https://www.tivi.fi/uutiset/a/20681d08-2be8-438b-a04e-d783d1064aff
Tomi Engdahl says:
Mathematics is undergoing the biggest change in its history
The speed at which artificial intelligence is gaining in mathematical ability has taken many by surprise. It is rewriting what it means to be a mathematician
https://www.newscientist.com/article/2518526-mathematics-is-undergoing-the-biggest-change-in-its-history/
Tomi Engdahl says:
AI vs cup
https://www.facebook.com/share/r/18Nj4kPbmg/
Tomi Engdahl says:
AI issues
https://www.facebook.com/share/r/1GDSgerbUn/
Tomi Engdahl says:
https://www.facebook.com/share/p/1Cq5hzg4MP/
Jensen Huang is pushing a strong and unusual idea about how Silicon Valley should pay its engineers: in addition to high salaries, they should also receive large budgets of AI tokens, or else they may fall behind in a world that is becoming more and more driven by AI.
While speaking on the All-In Podcast in a recent episode released this week, Huang said that if an engineer earning $500,000 “did not use at least $250,000 worth of tokens, I would be very concerned.”
He also stressed that if an engineer said they spent only $5,000 on tokens, it would be totally unacceptable. Huang added that NVIDIA is planning to spend around $2 billion on AI tokens to help its engineers work faster and become more productive.
Follow us for more updates.
#nvidia #futureoftech #devlife
“you should spend lots of money on the product that helps us sell more GPUs” got it boss!
Tomi Engdahl says:
Nvidia Confirms DLSS 5 Is Pasting AI-Generated Image Over Games
https://www.thegamer.com/nvidia-dlss-5-ai-filter-confirmed/?link_source=ta_first_comment&taid=69beb28f8b5d8300016ca7b9&utm_campaign=TrueAnthem-TG&utm_medium=Social-Distribution&utm_source=Facebook&fbclid=IwdGRjcAQsnTBjbGNrBCydC2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHtygU1oG_Q_dUxyWXQfGqT8OLAwOujoPjQh_XG7IJ_FPHVwO-_eB3G7ngN_v_aem_wlPM9-zlyEizdnb4XJp1-g
Earlier this week, Nvidia unveiled DLSS 5, but rather than iterating and improving on the existing tools to boost performance for lower-end rigs even further, it yassifies characters with an uncanny AI filter.
Considering how demanding DLSS 5 is, which goes against the entire ethos of the technology, it isn’t clear who this is for. The angry mob who caked Aloy in make-up because she had puffy cheeks? Even developers were caught off guard after seeing their games fed through the deep learning super sampling shredder. But Nvidia CEO Jensen Huang insisted that everyone is “completely wrong” about DLSS 5, assuring that it “fuses the controllability of the geometry and textures [...] with generative AI” and that it’s not just a filter.
Except, it is. As reported by IGN, GeForce Evangelist Jacob Freeman said in a statement to YouTuber Daniel Owen that “Yes, DLSS 5 takes a 2D frame plus motion vectors as input” and “is trained end to end to understand complex scene semantics such as characters, hair, fabric, and translucent skin, along with environmental lighting conditions like front-lit, back-lit, or overcast, all by analyzing a single frame.”
In so many words, DLSS 5 looks at a flat image and works from there. It isn’t baked into the actual systems of a game. So, when Nvidia promises that developers will have “detailed controls” to ensure that their art direction stays in-tact, that’s not exactly true.
Tomi Engdahl says:
https://sdm.fi/materiaalit/opas-ai-optimointi-loydy-ja-myy-tekoalypalveluiden-kautta/?utm_medium=social-paid&utm_source=meta&utm_campaign=SDM%20%7C%20Act%20%7C%20Oppaat&utm_content=Opas%3A%20Ai%20%7C%20Graafinen%20video%201&fbclid=IwdGRjcAQtCktleHRuA2FlbQEwAGFkaWQAAAZM1x1GpnNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHrqJStJd_dhQEUUcXbxJFEQXcLPaNw7A4PKBYvEHlEPGgomAvicpfnZz_Ntj_aem_pvYfbLf-sbr6BzXcX-B0vQ&utm_id=6558145830022&utm_term=6927095706622
Tomi Engdahl says:
https://etn.fi/index.php/13-news/18696-tekoaely-tarkistaa-nyt-linux-ytimen-koodia
Googlen kehittämä Sashiko-työkalu tuo tekoälyn suoraan Linux-ytimen koodin tarkastukseen. Tulokset ovat oikeastaan hätkähdyttäviä, sillä järjestelmä löytää virheitä, jotka kaikki koodia tarkastaneet ihmiset ovat ohittaneet.
Linux-ydinkehittäjä Roman Gushchinin mukaan Sashiko analysoi kernelin patchit automaattisesti ja antaa palautetta ennen kuin muutokset hyväksytään. Työkalu on ollut käytössä Googlen sisällä jo pidempään, mutta nyt se on avattu julkisesti ja otettu käyttöön koko Linux Kernel Mailing Listin tasolla.
– Mittauksissani Sashiko löysi 53 prosenttia bugeista tuhannen viimeaikaisen upstream-ongelman joukosta. Kaikki nämä virheet olivat sellaisia, jotka ihmiset olivat missanneet, Gushchin kertoo LinkedIn-postauksessaan.
Toisin kuin monet tekoälysovellukset ohjelmistokehityksessä, Sashiko ei generoi koodia. Sen rooli on toimia ylimääräisenä tarkastajana prosessissa, jossa kernelin kehittäjät lähettävät muutoksia arvioitavaksi sähköpostilistoille.
Järjestelmä lukee patchit, analysoi muutokset ja antaa palautetta ylläpitäjille ja kehittäjille. Tavoitteena on keventää koodikatselmoinnin kuormaa, joka on yksi kernel-kehityksen pullonkauloista.
Tomi Engdahl says:
Todd Bishop / GeekWire:
A profile of AWS at its 20th anniversary, covering its creation, rise to market dominance, response to the ChatGPT disruption, and the future of its AI bets
AWS at 20*: Inside the rise of Amazon’s cloud empire, and what’s at stake in the AI era
https://www.geekwire.com/2026/aws-at-20-inside-the-rise-of-amazons-cloud-empire-and-whats-at-stake-in-the-ai-era/
In the early days of Amazon Web Services, technical evangelist Jeff Barr was putting in long hours on the road, pitching a novel concept: rent computing power for 10 cents an hour, and storage for 15 cents a gigabyte per month — no servers to buy, no data centers to build.
Barr remembers calling his wife to check in at the end of the day. Get a nice dinner, she told him, you deserve it. But later, at the restaurant, looking at the menu and doing the math in his head, he couldn’t help but ask himself if the pennies were adding up.
“Did enough people start using these servers to buy me a decent steak?” he wondered.
He probably should have ordered the filet.
Two decades later, AWS generates nearly $129 billion a year in revenue. That’s enough to rank in the top 40 of the Fortune 500 if it were a standalone company, ahead of the likes of Comcast, AT&T, Tesla, Disney, and PepsiCo. Companies such as Netflix, Airbnb, Slack, Stripe and thousands more have built massive businesses on its platform.
Tomi Engdahl says:
Laila Kearney / Reuters:
Google signs deals with five US electric utilities for 1GW of “demand response” in total, to reduce data center power consumption during peak grid demand hours
https://www.reuters.com/sustainability/boards-policy-regulation/google-expands-utility-deals-curb-datacenter-power-use-during-peak-demand-2026-03-19/
Tomi Engdahl says:
Jeremy Kahn / Fortune:
A look at Andrej Karpathy’s “autoresearch” experiment, where an AI agent runs in a loop iterating and evaluating on training code to optimize a model
‘The Karpathy Loop’: Former OpenAI researcher’s autonomous agents ran 700 experiments in 2 days—and gave a glimpse of where AI is heading
https://fortune.com/2026/03/17/andrej-karpathy-loop-autonomous-ai-agents-future/
Earlier this month, Andrej Karpathy, a well-known AI researcher who was one of the founding employees of OpenAI and later headed up AI for Tesla, went viral on X. This alone isn’t so unusual. Karpathy—who now works as an independent AI researcher and is also the founder of Eureka Labs, which says it is creating a new kind of school for the AI era—has 1.9 million followers on X and his reputation is such that almost anything he says about AI is treated as either gospel or prophecy.
But this post was about an experiment he’d run where put an AI coding agent to work running a series of experiments to figure out how to improve the training of a small language model. He let the AI agent run continuously for two days, during which time it conducted 700 different experiments. Over the course of those experiments, it discovered 20 optimizations that improved the training time.
Karpathy found that applying the same 20 tweaks to a larger, but still fairly small, language model resulted in an 11% speed up in the time it took to train the model. Karpathy called the system he built for conducting this experiment “autoresearch.”
Tobias Lütke, the cofounder and CEO of Shopify, posted on X that he tried autoresearch to optimize an AI model on internal company data, giving the agent instructions to improve the model’s quality and speed. Lütke reported that after letting autoresearch run overnight, it ran 37 experiments and delivered a 19% performance gain.
Tomi Engdahl says:
Bloomberg:
Elon Musk announces Terafab, an Austin-based project run by Tesla and SpaceX to manufacture robotics, AI, and space data center chips for Tesla, xAI, and SpaceX — Elon Musk said his Terafab project — a grand plan to eventually manufacture his own chips for robotics, artificial intelligence …
https://www.bloomberg.com/news/articles/2026-03-22/elon-musk-says-tesla-xai-spacex-terafab-to-start-in-austin
Tomi Engdahl says:
Kate Clark / Wall Street Journal:
AI tools like Claude Code have transformed coders’ lives, and AI labs are now eyeing a bigger goal: automating everyone’s lives and winning the non-coder market — The AI sprint is hurtling toward a world where anyone can build personal concierges to do everything from executive presentations to March Madness brackets
The Trillion Dollar Race to Automate Our Entire Lives
https://www.wsj.com/tech/ai/claude-code-cursor-codex-vibe-coding-52750531?st=yaNDog&reflink=desktopwebshare_permalink
The AI sprint is hurtling toward a world where anyone can build personal concierges to do everything from executive presentations to March Madness brackets
Call your agents. Or better yet, code them—using sentences as dead-simple as this one.
AI assistants that can handle work and everyday personal tasks, all powered by brisk English-language commands that require zero coding knowledge, are rapidly defining phase two of the AI boom.
AI tools like Anthropic’s Claude Code, Cursor and OpenAI’s Codex can now write and debug software, unlocking huge new sources of revenue. That success is pushing their makers toward a bigger ambition: automating our entire lives.
“ChatGPT started as something that could answer questions, but the long-term vision has always been a super-assistant,” said Nick Turley, head of OpenAI’s ChatGPT, one “that can actually help you get things done.”
What began as a way to autocomplete code quickly evolved into semiautonomous AI bots, or “agents,” that can work for hours on end with little human oversight. We can tell a bot to create a presentation for work, coordinate the family’s schedules and pick a March Madness bracket, all while it learns our personal preferences, no coding needed.
“For me, coding is kind of the new literacy, but luckily, it’s much easier to learn to code now than it was to learn to read, because you don’t have to practice, the tool just does this for you,” said Boris Cherny, who leads Claude Code at Anthropic. “But I don’t want to sugarcoat it. It is going to be very disruptive.”
The shift has permanently changed the lives of coders and sparked a $1 trillion market selloff as investors and executives contemplate the technology’s potential to reshape industries, including finance, legal and healthcare. Tens of thousands of job cuts have already been attributed to AI.
For OpenAI and Anthropic, winning the market for non-coders is the next frontier, especially as both companies race toward initial public offerings that could come as soon as later this year.
“When you think about the future of knowledge work, this is a multi-trillion dollar opportunity for companies,” said Denise Dresser, OpenAI’s chief revenue officer and former CEO of Slack. “It’s almost that if you can think it, or you can describe what you want, you can build it.”
In Silicon Valley, AI agents have already become a way of life.
“I’ll book travel, I’ll research a vacation, I’ll read the newspaper, all my email goes through it, my grocery shopping goes through it, music recommendations—I’m not reading magazines anymore—any question I have, everything I want to know about now goes through an AI,” Tunguz said.
Other users talk of building a dashboard to keep track of their child’s baseball stats, or automating the process of getting kids signed up for camps and daycare. The target market for these tools is simply “anyone who needs to do work on their computer,” said Felix Rieseberg, the engineering lead for Cowork, Anthropic’s new feature designed for nontechnical tasks.
Tomi Engdahl says:
Reuters:
Tencent launches ClawBot, an OpenClaw-based agent integrated into WeChat, letting its 1B+ MAUs send and receive commands to interact with the AI agent via chat — Tencent(0700.HK) launched a tool on Sunday to integrate its WeChat messaging platform with the OpenClaw agent …
Tencent integrates WeChat with OpenClaw AI agent amid China tech battle
https://www.reuters.com/technology/tencent-integrates-wechat-with-openclaw-ai-agent-amid-china-tech-battle-2026-03-22/
Tencent(0700.HK)
, opens new tab launched a tool on Sunday to integrate its WeChat messaging platform with the OpenClaw agent, deepening its push into AI agents that have become a key battleground among China’s technology companies.
The software, called ClawBot, will appear as a contact within WeChat, allowing users of China’s most popular app with over 1 billion monthly active users to connect directly with OpenClaw.
Tomi Engdahl says:
Shubham Agarwal / The Guardian:
How gig apps like Kled AI, Silencio, Neon Mobile, and Luel AI pay users for data that AI companies can use to train models, from phone calls to videos of places
Thousands of people are selling their identities to train AI – but at what cost?
https://www.theguardian.com/technology/2026/mar/21/ai-trainers-identity-cost
Gig AI trainers worldwide are selling moments of their lives, including calls and texts, to AI companies for quick cash
These gig AI trainers – who upload everything from scenes around them to photos, videos and audio of themselves – are at the frontlines of a new global data gold rush. As Silicon Valley’s hunger for high-quality, human-grade data outpaces what can be scraped from the open internet, a thriving industry of data marketplaces has emerged to bridge the gap. From Cape Town to Chicago, thousands of people are now micro-licensing their biometric identities and intimate data to train the next generation of AI.
But this new gig economy comes with trade-offs. In exchange for a few dollars, its trainers are fueling an industry that may eventually render their skills obsolete, while leaving some of them vulnerable to a future of deepfakes, identity theft and digital exploitation that they are only just beginning to understand.
Tomi Engdahl says:
Kevin Roose / New York Times:
A look at “tokenmaxxing”, a status game where employees at a number of companies like Meta and OpenAI compete on leaderboards to show how much AI they are using
More! More! More! Tech Workers Max Out Their A.I. Use.
https://www.nytimes.com/2026/03/20/technology/tokenmaxxing-ai-agents.html?unlocked_article_code=1.UlA.Wda2.-3Rz1wP8LBVw&smid=url-share
At a number of companies, employees compete on leaderboards to show how much A.I. they’re using. They’re racking up big bills along the way
Tomi Engdahl says:
Yue Wang / Forbes:
A look at Huawei-backed Yuanjie, a maker of photonic chips used in AI data center optical interconnects, whose stock has surged 780% over the past year
AI Optics Boom Propels Founder Of Photonic Chip Maker Into The Billionaire Ranks
Huawei-backed Yuanjie Semiconductor Technology makes photonic chips used in optical interconnects in AI data centers.
https://www.forbes.com/sites/ywang/2026/03/20/ai-optics-boom-propels-founder-of-photonic-chip-maker-into-the-billionaire-ranks/
Tomi Engdahl says:
Drew Harwell / Washington Post:
Social media accounts showing AI-generated women as pro-Trump soldiers, truckers, and cops have gone viral, with thousands appearing to believe they are real
Thousands have swooned over this MAGA dream girl. She’s made with AI.
https://www.washingtonpost.com/technology/2026/03/20/jessica-foster-maga-dream-girl-ai-fake/?pwapi_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJyZWFzb24iOiJnaWZ0IiwibmJmIjoxNzczOTc5MjAwLCJpc3MiOiJzdWJzY3JpcHRpb25zIiwiZXhwIjoxNzc1MzYxNTk5LCJpYXQiOjE3NzM5NzkyMDAsImp0aSI6IjQ0ZTc0NDk1LWIyOGItNDg3Mi1iNmY5LWNhZTUzZjVkODIxMiIsInVybCI6Imh0dHBzOi8vd3d3Lndhc2hpbmd0b25wb3N0LmNvbS90ZWNobm9sb2d5LzIwMjYvMDMvMjAvamVzc2ljYS1mb3N0ZXItbWFnYS1kcmVhbS1naXJsLWFpLWZha2UvIn0.qyuAJD_Tbe4P5Yehe96uhUffZ0SJQX5RRC5PNmqd8iU
A viral fake of an Army service member spotlights a new trend in online attention harvesting: part patriotism, part porn and 100 percent computer-made.
Tomi Engdahl says:
Allison Johnson / The Verge:
Hands-on with Gemini task automation on mobile: super impressive despite being very slow and failing at some tasks, and it can order food, book Ubers, and more
Gemini task automation is slow, clunky, and super impressive
https://www.theverge.com/tech/898282/gemini-task-automation-uber-doordash-hands-on
It took nine minutes to order my dinner, but it still feels like the future.
I’ve been testing out Gemini’s new task automation on the Pixel 10 Pro and the Galaxy S26 Ultra, which for the first time lets Gemini take the wheel and use apps for you. It’s limited to a small subset right now — a handful of food delivery and rideshare services — and it’s still in beta. It’s slow, it’s clunky at times, and it doesn’t solve any serious problem you had using your phone. But it’s impressive as hell, and I don’t think it’s hyperbole to say this is a glimpse of the future. We’re still a long way off, but this is the first time I’ve seen a true AI assistant actually working on a phone — not in a keynote presentation or a carefully controlled demo inside a convention hall.
First off: Gemini is much slower than you, or me, or most anyone at using their phone. If you need to order an Uber right this second, you’re still the best person for the job. Before you write it off, though, remember that task automation is designed to run in the background while you do other things on your phone. Even better, it keeps working while you’re not looking at your phone, so you can do things like check that your passport is in your bag for the 10th time.
But if you’re curious, like I am, you can watch the whole thing happen. While it’s working, text appears at the bottom of the screen indicating what Gemini is doing. Stuff like “Selecting a second portion of Chicken Teriyaki for the combo,” which it did when I directed it to order my dinner on Saturday night. Watching Gemini figure things out on the fly honestly kinda rules. I asked for a chicken combo plate; the menu presented options in half- portion increments, so it correctly added two half servings of chicken.
Tomi Engdahl says:
Ed Bott / ZDNET:
Microsoft acknowledges complaints about Windows 11, promising a reduction of “unnecessary” Copilot integrations, more control over updates, and more
Microsoft announces sweeping Windows changes – but no apologies
Microsoft’s Windows boss just sent out a long non-apology to frustrated Windows 11 users, promising big changes. Here’s a translation of what you can really expect.
https://www.zdnet.com/article/windows-users-are-angry-and-microsoft-is-finally-doing-something-about-it/
ZDNET’s key takeaways
Microsoft finally acknowledged complaints about Windows 11.
The company is promising sweeping changes to a slew of features.
Windows Insiders will have a greater voice in upcoming releases.
Tomi Engdahl says:
Meghan Bobrowsky / Wall Street Journal:
Sources describe Meta’s efforts to build and use internal AI tools; a source says Mark Zuckerberg is building a CEO agent to help him get information faster — Meta Platforms chief uses the tool to get information faster as the company seeks to embrace artificial intelligence in all it does
Mark Zuckerberg Is Building an AI Agent to Help Him Be CEO
Meta Platforms chief uses the tool to get information faster as the company seeks to embrace artificial intelligence in all it does
https://www.wsj.com/tech/ai/mark-zuckerberg-is-building-an-ai-agent-to-help-him-be-ceo-eddab2d5?st=aPzumg&reflink=desktopwebshare_permalink
Mark Zuckerberg wants everyone inside and outside his company to eventually have his or her own personal artificial-intelligence agent. He is starting with himself.
Zuckerberg, the chief executive of Meta Platforms META -2.15%decrease; red down pointing triangle
, is building a CEO agent to help him do his job, according to a person familiar with the project.
The agent, which is still in development, is currently helping Zuckerberg get information faster—for instance, by retrieving answers for him that he would typically have to go through layers of people to get, the person familiar with the project said.
Zuckerberg’s agent project reflects a drive across the 78,000-person company to accelerate the pace of work, eliminate layers from its organizational structure and change the day-to-day jobs of its employees to remain competitive with AI-native startups with much smaller staffs. The company views AI adoption as critical to its future success and is experimenting with how to integrate more of it into its business.
Zuckerberg, who has also been spending more time coding recently, previewed some of the efforts on the company’s earnings call in January.
“We’re investing in AI-native tooling so individuals at Meta can get more done. We’re elevating individual contributors and flattening teams,” he said. “If we do this, then I think that we’re going to get a lot more done and I think it’ll be a lot more fun.”
Tomi Engdahl says:
https://www.helsinki.fi/fi/uutiset/tekoaly/tekoaly-auttaa-rakentamaan-kestavampia-kaupunkeja?utm_source=meta&utm_medium=social_cpc&utm_campaign=teknologia&utm_content=tekoalykaupungit&fbclid=IwdGRjcAQt-rhleHRuA2FlbQEwAGFkaWQAAC_LI0uBOHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHl0-BIEuHc7jUcl7rYnGb_8mFN74lTnZZ6Fgf1HdeT31V9AI77sEkL1hojTW_aem_UpoQwlefIN4zr8Cb2z059g&utm_id=6336718250996&utm_term=52549514445800