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”
2,876 Comments
Tomi Engdahl says:
Remember when Wikipedia came out? There wasn’t a problem at all and everyone shunned Wikipedia saying it’s not a good source to use and anyone can edit Wikipedia (not true) and FFWD to 2026. Nobody even mentions Wikipedia anymore and AI is somehow not good but also not shunned or universally banned in academia like Wikipedia was. The two are not treated the same. Wild!
Tomi Engdahl says:
https://www.facebook.com/share/v/1E1gGCbj6e/
ChatGPT, Claude, Perplexity, and other AI large language models are not “citing” sources. Even with retrieval augmented generation there is a difference between “cite” and “include”! Claims can absolutely still be hallucinated. Never trust a chatbot! Read the source.
Tomi Engdahl says:
“So this means you expect every author to check every citation and make sure that every citation is real and accurate?” https://trib.al/Omqpc4l
Check Your Work
Academics in Meltdown Now That They’re Responsible for AI Hallucinations in Their Research Papers
“So this means you expect every author to check every citation and make sure that every citation is real and accurate?”
https://futurism.com/artificial-intelligence/academics-meltdown-ai-hallucinations-research?fbclid=IwdGRjcAR_t8hjbGNrBH-3o2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHtMRCcf-wIimaj01gS_Dxu3zuRAQv_LzHZ-QGpgS4UfWZXaZmhoLew6TvzSQ_aem_9KSX9rMmJtaq_KDN5sZFhg
Even in 2026, there are still plenty of researchers who refuse to use AI to publish their research papers. Others do use the tech for tasks like sourcing journal articles for references, editing copy, or formatting citations — but they face pressure to verify every claim, since AI has a baked-in risk of contaminating their work with hallucinations.
A vocal minority of academics, however, argue they should be able to use AI to write original research while remaining immune from any hallucinated claims or data that make their way into the final product.
Last week, the open-source research repository arXiv announced that it was banning scholarly authors from the platform for up to a year if “hallucinated references” are found in their work. The rationale behind this should be obvious enough for any self-respecting academic: as arXiv computer science chair Thomas Dietterich wrote in his announcement, “if a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can’t trust anything in the paper.”
As TechCrunch observed, arXiv isn’t banning AI altogether, but simply clarifying that the author is ultimately responsible for any work that goes out under their name. Makes sense, right?
Apparently not. After Dietterich’s announcement of X-formerly-Twitter, numerous researchers immediately went on the offensive, trashing the platform for its decision.
Tomi Engdahl says:
https://x.com/tdietterich/status/2055000956144935055?fbclid=IwVERDUAR_uCVleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR6dQy5l1hyfIEGTj6AJZOvt9VgsQclQAj55dIroa7jtfx3ycoU3MNrlYMliuQ_aem_ZYFYQwP6_KZYV8tExae40Q&utm_source=stackadapt&utm_medium=display&utm_campaign=CP019%7CAwareness%7C202604%7CImmunoassay%7CEMEA&utm_content=SimpleStep%20Ignite%20landing%20page%7C
Tomi Engdahl says:
A winning strategy. https://trib.al/HOxg0ub
Link to the Past
Nintendo Is Completely Ignoring AI and Doing Fine
A winning strategy.
https://futurism.com/future-society/nintendo-ignoring-ai-fine?fbclid=IwdGRjcASA095jbGNrBIDTQmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHileLvuh-RcaFb1cMgNStksoaG664bf6wlOcS_VrtyvpoS0IQFExdyqR5Ybe_aem_tlo04RU8ZWIY3XrPHPHcVw
That’s more less Nintendo’s approach to AI, and the market is rewarding the Japanese video game maker for it, in Bloomberg’s analysis.
For the record, Nintendo is not a stellar stock. Investor uncertainty over its cheap Switch 2 pricing, which didn’t budge even as memory costs soared, helped cap off five straight months of decline, the longest loss streak sustained by the company in a decade.
But earlier this week, it showed some signs of life. On Tuesday, shares climbed as much as 6.8 percent in Tokyo for three days in a row, joining a broader rally of Japanese video game stocks, per the reporting.
It’s less a reflection on Nintendo, however, and more on shifting investor attitudes towards AI.
https://www.bloomberg.com/news/articles/2026-05-19/nintendo-shares-rebound-as-ai-fatigue-fuels-japan-stock-rotation?fbclid=IwVERDUASA1AZleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR4qTWSOtNI6H2c85iV3s-riPyd_FB8une2And_tKNqKGF3oT0iPOzcjHb5MlQ_aem_fLyuaKd2fHuV98RwhBvJ1g
Tomi Engdahl says:
Tomo Kinoshita, global market strategist at Invesco Asset Management Japan, speculated that it was a sign of investors hedging their bets ahead of Nvidia’s quarterly earnings, which were released Wednesday.
“Nvidia often fails to live up to the market’s sky-high expectations, and AI stocks can suffer as a result,” he said. “I expect many investors are temporarily selling AI stocks in preparation, which is driving the rotation.”
That prediction seems to have been vindicated. Despite clinching another record quarter, Nvidia’s numbers were less impressive than investors hoped, sending shares tumbling by a few percent. Its profits literally doubling from the same period a year ago was apparently not enough.
https://futurism.com/future-society/nintendo-ignoring-ai-fine?fbclid=IwdGRjcASA1S9jbGNrBIDTQmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHileLvuh-RcaFb1cMgNStksoaG664bf6wlOcS_VrtyvpoS0IQFExdyqR5Ybe_aem_tlo04RU8ZWIY3XrPHPHcVw
Tomi Engdahl says:
“Given rapidly advancing capabilities, we expect the plausible robustness of rogue deployments to increase substantially in the coming months.” https://trib.al/qjO2WN9
Tomi Engdahl says:
Microsoft’s own engineers preferred Claude Code. Microsoft cancelled it anyway.
The tool was the favourite inside the teams building Windows and Office.
Engineers were told to switch to GitHub Copilot CLI by 30 June.
The official reason is tidying up the toolset.
The real reason is the invoice.
Uber tried the same tools and burned its full 2026 AI budget in 4 months.
Every company that handed out these AI seats is now doing the same math.
Read more on TNW: https://thenextweb.com/news/microsoft-claude-code-retreat-ai-cost
Tomi Engdahl says:
Microsoft’s quiet Claude Code retreat and the real cost of enterprise AI
Inside the world’s largest software company, the AI coding experiment may end. The reason is not strategy, but the bill.
https://thenextweb.com/news/microsoft-claude-code-retreat-ai-cost?fbclid=IwdGRjcASBo2FjbGNrBIGjRmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHjtB169iC9sqXl8BVy6JmdA4gxyC3oMaduiWcyE5FyOQUEChrAF-po3AYQ8D_aem_dO3BS423VlgecFPisY9F-w
In December of last year, Microsoft told thousands of its engineers, product managers and designers that they could use Claude Code, Anthropic’s command-line coding agent, on the company dime.
By spring, the tool had spread well beyond engineering: into the kind of non-technical roles that, in earlier waves of enterprise software, would have waited years for a seat. Inside Microsoft, the rollout was framed as a learning exercise. Outside it, the surface signal was simpler.
The world’s largest software company, the one with its own foundation models and its own coding assistant, had just paid a competitor to put a rival product in front of its workforce.
Six months later, that experiment is being wound down. According to reporting in Windows Central and other outlets following The Verge’s original scoop, Microsoft is cancelling most direct Claude Code licences inside its Experiences and Devices group, the division that builds Windows, Microsoft 365, Outlook, Teams and Surface.
Affected engineers have been told to migrate to GitHub Copilot CLI by 30 June, the last day of Microsoft’s fiscal year. The official reason is toolchain unification. The unofficial reason is in the calendar.
The Claude pullback is the most credible signal yet that the unit economics of enterprise AI coding do not, at current token prices, work. Not because the tools are bad. The opposite: they are good enough that engineers use them constantly, and the constant use is what breaks the maths.
The clearest evidence is at Uber, which is not Microsoft and does not have Microsoft’s financial cushion. Praveen Neppalli Naga, Uber’s chief technology officer, told The Information in April that the company had burned through its entire planned 2026 AI coding budget in four months.
By March, Naga’s own figures had Claude Code use jumping from 32 per cent to 84 per cent of his roughly 5,000-engineer organisation. Individual engineers were spending between $500 and $2,000 a month on tokens. Around 70 per cent of code committed at Uber now originates with AI, and on the order of one in ten live backend updates is shipped by an agent with no human in the loop.
“I’m back to the drawing board,” Naga said, “because the budget I thought I would need is blown away already.”
That sentence is the whole story in miniature. The forecast was wrong because the variable being forecast, token consumption, behaves nothing like the licences and seats that finance teams know how to model. A traditional enterprise software deal is denominated in users.
A token-priced deal is denominated in how much the model has to think. Agentic coding makes the model think a lot. Sessions run for hours, spawn parallel threads and generate volumes of context that bear no resemblance to the autocomplete interactions that shaped the original pricing structure.
Cost structures built for lightweight assistance, the company conceded, no longer held.
This is not an Uber problem or a Microsoft problem. It is an industry condition. Bryan Catanzaro, vice-president of applied deep learning at Nvidia, told Axios in April that, for his team, the cost of compute is now far beyond the cost of the employees using it.
Tomi Engdahl says:
Pope Leo Warns About Dangers Of AI & Calls For Robust Regulation In His First Encyclical
https://9gag.com/gag/aGym76G?utm_source=9GAG_FB_page&utm_medium=social&utm_campaign=link_post&fbclid=IwdGRjcASB-wZleHRuA2FlbQIxMQBzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR5ouaSgiMPTZSPpm-yul1mzp2K2ql5dJS8-ky20jQEl3UZDqU75RBdGozwCxg_aem_YxhisDb_bX12rS3mBKwuJQ
Pope Leo XIV urged governments to slow down and closely regulate the development of AI systems in his first major document, released on Monday, warning that they spread misinformation, prioritize conflict and risk leading the world down a path of unending war.
He also expressed concern at a Vatican event launching the text that some autonomous weapons systems have advanced “practically beyond any human reach to govern them”. The event was also attended by Christopher Olah, a co-founder of Anthropic, one of the world’s top AI companies.
Tomi Engdahl says:
https://www.vatican.va/content/leo-xiv/en/encyclicals/documents/20260515-magnifica-humanitas.html?fbclid=IwVERDUASB-y5leHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR6Us7DNmE3dVY_hLXB-HRzJ94WouJf3HGe1mTI1r_15Dd34DCPW6T4thSpkGw_aem_xatxcZpkudpy0o8MKeI60w
Tomi Engdahl says:
Pope calls for robust regulation of AI in manifesto that ponders the future of humanity
https://apnews.com/article/pope-ai-tech-trump-vatican-anthropic-d92d0108730d146baa46da041b8523da?fbclid=IwVERDUASB-2xleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR4DcJtbl02oZlrdmdaxVBrphPEnWFq2qavsmSGGsF5tOWLxWMABLCJ_hugupA_aem_PazZNFq_lKjAMIrhQe6udw
Tomi Engdahl says:
Nvidia CEO Jensen Huang says the same skills that mattered before AI will still matter in the future.
Tomi Engdahl says:
Workers are increasingly turning to ChatGPT and Claude instead of their colleagues. It’s making the workplace more productive — and more isolating
#workculture #office #chatgpt #claude
The antisocial workplace
Work was the one social place left in America. Then came AI.
https://www.businessinsider.com/ai-workplace-more-productive-less-social-2026-5?fbclid=IwdGRjcASCmuJjbGNrBIKawGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHhsHuZWqDW2mvSdsBqiZV5dYvj1EYPuIY3hgkKlqOFqARIUcz2pCRr16xrQe_aem_4VEnXS6k9fECnWWBrcjdqQ&utm_campaign=mrf-insider-marfeel-headline-graphic&utm_source=facebook&utm_medium=social&mrfcid=202605266a1598f01f0de911809af9bd
Tomi Engdahl says:
These days, all Deceuster needs is to open up Claude or ChatGPT — and often within seconds, he gets what he needs. “We’re getting more done than we’ve ever done before,” he tells me. But lately, he’s been mourning what that productivity has cost him.
Now that he no longer depends on his colleagues for these kinds of tasks, he estimates he’s interacting with them about 50% less than before.
https://www.businessinsider.com/ai-workplace-more-productive-less-social-2026-5?fbclid=IwdGRjcASCmw1jbGNrBIKawGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHhsHuZWqDW2mvSdsBqiZV5dYvj1EYPuIY3hgkKlqOFqARIUcz2pCRr16xrQe_aem_4VEnXS6k9fECnWWBrcjdqQ&utm_campaign=mrf-insider-marfeel-headline-graphic&utm_source=facebook&utm_medium=social&mrfcid=202605266a1598f01f0de911809af9bd
Tomi Engdahl says:
Pope Leo XIV shared his first encyclical on Monday. The writings about AI sparked responses from tech leaders, politicians, and other big names.
#PopeLeo #AI #technews
https://www.businessinsider.com/leaders-ceos-react-pope-leo-ai-encyclical-2026-5?fbclid=IwdGRjcASCm0djbGNrBIKbRGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHkUU76UF14yhBTt6jnCMehDoquMyBq4ni9ZeDucBYUwIq1ekib2P6H9uGf_J_aem_LuZNT8v0VxAT6JHVBAah9w&utm_campaign=mrf-insider-marfeel-headline-graphic&utm_source=facebook&utm_medium=social&mrfcid=202605266a1599331f0de911809af9c3
Tomi Engdahl says:
Crack That Whip
99 Percent of CEOs Are Preparing to Lay Off Workers and Replace Them With AI Within Two Years, Survey Finds
Thanks for the heads up.
https://futurism.com/artificial-intelligence/99-percent-ceos-workers-ai-survey?fbclid=IwdGRjcASDTvJjbGNrBINOvmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHijDpvuds6PY1ZIc-Cag3iAnDu6MJEi-MsrfRqkOmMOoGp01sor2L3iUrLx9_aem_rlkYsXY3udJkoJK9Zz6T7Q
Fear of AI is at an all-time high. Not fear of a Skynet-style superintelligent singularity seizing power, generally speaking, but of something perhaps just as horrifying: that life under capitalism continues much as it always has, with one key difference — AI has made human labor obsolete.
A new survey by consulting firm Mercer polled nearly 1,000 executives across the United States. A jaw-dropped 98 percent of them said they have major organization design changes in the works around AI, while 99 percent expect AI will lead to layoffs over the next two years.
The Mercer report, first covered by TechSpot, also found a collapse in worker wellbeing as talk of AI dominates break rooms. In 2024, Mercer worker’s sentiment found 66 percent of employees surveyed said they are “thriving” in the workplace. By 2026, that number had fallen to just 44 percent.
At the same time, the number of workers who report being “unsatisfied” has skyrocketed, with over 20 percent of workers surveyed admitting they’re “unsatisfied but… don’t have a choice at this point and will be staying for the next 12 months.”
How human resources managers plan to combat this workplace fatigue — symptomatic of a rapidly decaying labor market, not to mention stagnant wages across the board — is equally alarming. In the next two years, 49 percent of HR professionals say incorporating worker sentiments with behavioral data will become “critical” to managing labor on the job. A further 44 and 43 percent said the same of always-on surveillance platforms and AI chatbots, respectively.
To the business owners and corporatists of the world, this is the point of AI: to discipline human labor. That’s the large-scale economic process by which capitalists undermine workers’ bargaining power, through systemic mechanisms like debt, the so-called gig economy, unemployment, deskilling — and, according to some theorists, even the nuclear family.
The technology doesn’t even need to be particularly effective to achieve any of this. Business leaders like Shopify CEO Tobi Lutke are already using AI to squeeze more value from their workers, while venture capitalists use it to pry equity back from theirs. In some cases, managers are even using AI chatbots to decide who to fire.
Tomi Engdahl says:
It’s not the first to fail at automating pizza making. https://trib.al/h89jVhS
Tomi Engdahl says:
He’s calling for AI to be “disarmed.” https://trib.al/DkPUjlu
AI Holy War
The Pope Just Low Key Declared Holy War on Artificial Intelligence
He’s calling for AI to be “disarmed.”
https://futurism.com/artificial-intelligence/pope-holy-war-artificial-intelligence?fbclid=IwdGRjcASDZ9NjbGNrBINnu2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHq5V75Q1yBWQHNtowkEI6AKN-w4l1OrYPSBa7kxjT_zAWPQ4dr4Cc3dD6cx4_aem_CZ2Xbmuy0JVvK7zGCWIosg
As the AI backlash continues to grow, critics of the tech have found an unlikely voice of support: the Catholic Church.
In perhaps his strongest rebuke of the tech industry’s rampant obsession with AI yet, Pope Leo called for the tech to be “disarmed” in his first encyclical, which is a special letter sent to bishops to outline the Catholic Church’s perspective on a topic.
“The word is strong, I know, but deliberately chosen because this moment needs words capable of attracting attention,” the Pope said in an accompanying statement.
In his letter, titled “Magnifica Humanitas,” or “Magnificent Humanity,” the bishop of Rome did not beat around the bush. Despite being a “valuable tool,” Pope Leo slammed AI as “merely” imitating “certain functions of human intelligence,” contradicting tech leaders’ claims that AI might be gaining sentience or consciousness.
“So-called artificial intelligences do not undergo experiences, do not possess a body, do not feel joy or pain, do not mature through relationships and do not know from within what love, work, friendship or responsibility mean,” the document reads.
Tomi Engdahl says:
“It’s extremely addictive, bad for our health, and Big Tech is borrowing the Big Tobacco playbook to avoid regulation,”
Social media as dangerous as smoking for children, doctors warn
They say they are seeing ‘a wave of radicalised children’ who have been exposed to hateful content
https://www.independent.co.uk/tech/social-media-children-ban-smoking-b2983432.html?fbclid=IwdGRjcASDaYFjbGNrBINpaGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHgDBUynQymgfWd_5N6-eP-TWypAGbZbSfTmb84IlnUn7OECj4fGNeFB_-Uk__aem_XN46WccroLip8elWnmGQxg
Social media “ranks alongside smoking” as a threat to young people’s health, a report by the Academy of Medical Royal Colleges says.
The Government’s ‘Growing Up In The Online World’ consultation, which explored measures such as an Australia-style social media ban for minors, app curfews, and limits on addictive features, closes at the end of Tuesday.
Tomi Engdahl says:
Nvidia stock is at risk of an “aggressive fall” and AI “tokenmaxxing” is unsustainable, Michael Burry of “The Big Short” said on Substack.
#Nvidia #NVDA #MichaelBurry
‘Big Short’ Michael Burry warns Nvidia stock could dive, AI ‘tokenmaxxing’ won’t last : https://mrf.lu/w_Zl
Tomi Engdahl says:
The investor of “The Big Short” fame — known for making prescient calls and dire predictions — added that Nvidia’s next decline could be “more dramatic” than its last three big crashes of 56% in 2018, 67% in 2021, and 43% in 2025.
https://www.businessinsider.com/big-short-michael-burry-nvidia-stock-price-crash-ai-tokenmaxxing-2026-5?fbclid=IwdGRjcASDbZljbGNrBINtbGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHj3bjcWd2ttY2IJwqyAB2Y3ZPcfwk78uMIQzM1L2BVPnUeOQMi_89lfm_Iou_aem_8Lwn_9Gphc3wWADB55wisg&utm_campaign=mrf-insider-marfeel-headline-graphic&utm_source=facebook&utm_medium=social&mrfcid=202605266a15b9a52842d62ff60cdc00
Tomi Engdahl says:
We suggest not mindlessly praising AI. https://trib.al/UcOGmzv
Tomi Engdahl says:
https://www.marktechpost.com/2026/05/25/workos-releases-auth-md-an-open-agent-registration-protocol-built-on-oauth-standards/
Tomi Engdahl says:
AI Will Reshape More Jobs Than It Replaces
https://www.bcg.com/publications/2026/ai-will-reshape-more-jobs-than-it-replaces?linkId=946232129&fbclid=IwdGRjcASDqm1leHRuA2FlbQEwAGFkaWQBqzE5-nH4HnNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHssKzZ7nlFB0aCMyOKchWpAVX-h8aAxLc1ajWO0A3n_zf-0_FQvDAGzOhDd-_aem_GoKeutKtcKJ2x1SZGa_MqA&utm_source=fb&utm_medium=paid&utm_campaign=120240650306500094&utm_term=120240650306490094&utm_content=120243940025560094&utm_id=120240650306500094
Key Takeaways
Task automation doesn’t equal job loss. Most roles will remain—but will change substantially.
Our microeconomic model reveals that over the next two to three years, 50% to 55% of jobs in the US will be reshaped by AI.
Workforce strategy cannot sit downstream of automation. It must be embedded in strategy.
For CEOs, the imperative is to focus on achieving the right balance of automation, upskilling, and deliberate talent planning
Tomi Engdahl says:
Over the next two to three years, 50% to 55% of jobs in the US will be reshaped by AI. For many employees, this will mean that they retain the same or a similar role but face radically new expectations for how they work and what they produce. For company leaders, it will require a clear vision for how the transformation is managed, including a scaled, strategic approach to upskilling and reskilling and the restructuring of career ladders.
This shift is already happening—and will pick up speed as AI adoption spreads. Our analysis, based on microeconomic modeling, identified a significant swath of the labor force for which AI will meaningfully augment current roles. Moreover, when the productivity gains from AI use trigger increased end product demand and the potential for augmentation is high, we believe there will be a need for more and, in some cases, new human roles. (See Exhibit 1.) While job augmentation and new-job creation will happen rapidly, full substitution of jobs by AI will be slower. Five years from now—or perhaps further in the future—10% to 15% of jobs in the US could be eliminated. 1 This level of potential job loss is considerable and creates an important call to action for business leaders.
https://www.bcg.com/publications/2026/ai-will-reshape-more-jobs-than-it-replaces?linkId=946232129&fbclid=IwdGRjcASDqt5leHRuA2FlbQEwAGFkaWQBqzE5-nH4HnNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHssKzZ7nlFB0aCMyOKchWpAVX-h8aAxLc1ajWO0A3n_zf-0_FQvDAGzOhDd-_aem_GoKeutKtcKJ2x1SZGa_MqA&utm_source=fb&utm_medium=paid&utm_campaign=120240650306500094&utm_term=120240650306490094&utm_content=120243940025560094&utm_id=120240650306500094
Tomi Engdahl says:
Task Automation Doesn’t Have to Mean Job Loss
To build our model, we calculated the number of jobs involving tasks that are at least 40% automatable. This represents the average level of automation for all US-based occupations and the threshold after which role and organization redesign becomes a stronger business case. The 43% of jobs that exceed this threshold formed the focus of our analysis. The other 57% are jobs that depend heavily on the physical presence of human workers, on hands-on work, or on sustained human interaction, all of which limit the potential for automation and thus are less likely to be disrupted by AI. (See Exhibit 2.)
https://www.bcg.com/publications/2026/ai-will-reshape-more-jobs-than-it-replaces?linkId=946232129&fbclid=IwdGRjcASDqxpleHRuA2FlbQEwAGFkaWQBqzE5-nH4HnNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHssKzZ7nlFB0aCMyOKchWpAVX-h8aAxLc1ajWO0A3n_zf-0_FQvDAGzOhDd-_aem_GoKeutKtcKJ2x1SZGa_MqA&utm_source=fb&utm_medium=paid&utm_campaign=120240650306500094&utm_term=120240650306490094&utm_content=120243940025560094&utm_id=120240650306500094
Tomi Engdahl says:
The Majority of Current Jobs Will Stay but Evolve
Tomi Engdahl says:
All it takes is a standard-size backpack, a receiver, and a certain kind of antenna.
How hackers can break into AI servers with an off-the-shelf antenna
An antenna and an electromagnetic receiver were the only equipment needed, both small enough to fit inside a backpack.
https://www.popsci.com/technology/how-hackers-can-break-into-ai-servers-with-an-off-the-shelf-antenna/?fbclid=IwdGRjcASDua9jbGNrBIO5mWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHtUqr18ghkw_q4WbcR70jhLmujl8rLDncxJjEitHUikysPB9Ogue_ukN_WU8_aem_NiHZ4aeL9IeL0TSvbITQVA
The word ‘hacker’ comes loaded with a cliched image: A hoodie-clad loner hunched over a keyboard in a room lined with monitors. The stereotype stuck for a reason. And for decades hacking really did come down to how well a hacker could operate a computer.
That trend might change. The next generation of attacker may have more in common with a cat burglar than a code monkey. They slip physically close to a target instead of typing their way in. Some of the sharpest new attacks skip the login screen entirely. They reach straight into the hardware, sometimes from the other side of a wall.
The researchers behind the discovery are led by Prof. Han Jun of KAIST, working with researchers from the National University of Singapore and Zhejiang University in China. At NDSS (Network and Distributed System Security) 2026, they demonstrated that an antenna trained on a running computer can capture the faint electromagnetic leakage from its GPU. This new technique was enough to reconstruct the layer structure of the AI model inside, with up to 97.6 percent accuracy. They call the technique ModelSpy, and it works even through a wall.
If this technique fell into the wrong hands, stealing a company’s AI would hardly look like an attack.
Stealing AI without touching the computer
AI has gotten valuable enough that plenty of people are now trying to figure out how to steal it. None of the usual paths are easy. You can break into the company’s network and plant malicious code. But planting anything on a hardened corporate server is hard, and getting caught is easy. What about going after the hardware directly, skipping the software entirely?
The most promising example is the side-channel attack. Instead of breaking in, an attacker just listens. Any running computer leaks signals like small flickers in the current it draws, the heat coming off the chips, the hum of its fans, the faint vibrations of its components. Read those signals carefully enough, and they can tell you what the machine is doing inside.
Tomi Engdahl says:
Making movies ain’t so easy after all. https://trib.al/yzU90dl
Tomi Engdahl says:
“The blast radius of that agent action was not the service restart. It was everything downstream of the restart, in a system state the agent had no complete picture of.” https://trib.al/PcblWyX
Tomi Engdahl says:
“It was just a way for them to sound smart and I really hate that. I think we’re scaring people, and that’s irresponsible.” https://trib.al/iVVFMiA
Misleading Narrative
Nvidia CEO Begs Execs to Stop Telling Workers They’re Fired Because of AI
“It was just a way for them to sound smart and I really hate that. I think we’re scaring people, and that’s irresponsible.”
https://futurism.com/artificial-intelligence/nvidia-ceo-begs-execs-stop-fired-ai?fbclid=IwdGRjcASEr3ZjbGNrBISvH2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHsHuCK94UB424Vk34_F7NJJIaMD1BPBc3EBZrTiyIOrfKy4iSFJPtGT5iAnW_aem_20s4i9Jos-H4biiiKNzWxA
We’ve long had our doubts about tech leaders making boisterous claims about automating jobs with AI.
For a while now, executives have raised eyebrows by justifying sweeping layoffs by arguing that AI had made thousands of roles redundant. But as reality settles in and the tech’s real-world capabilities are coming into focus, some in the industry are starting to sing a dramatically different tune.
Most recently, Nvidia CEO Jensen Huang scorned other executives for wrongly justifying layoffs with AI — and telling them to cut it out. The hidden implication: soaring costs are the real culprit, especially when it comes to AI-related spending, mismanagement, and over-hiring.
“The narrative that connects AI to job loss, for many of the CEOs that are doing it — it is just too lazy,” Huang told Channel News Asia. “AI has just arrived, how is it possible they’re already losing jobs?”
“How is it possible that AI became productive and useful only six months ago, and they were somehow laying people off two years ago because of AI?” he added. “It doesn’t make any sense.”
Huang didn’t beat around the bush in his searing comments.
“It was just a way for them to sound smart and I really hate that,” the CEO argued. “I think we’re scaring people, and that’s irresponsible.”
We’ve long suspected that CEOs have been trying to mislead investors by claiming that much human labor was simply no longer needed in the age of AI. In one particularly telling episode earlier this year, Twitter founder and Block Inc (formerly Square) CEO Jack Dorsey announced he was slashing his company’s workforce by “nearly half,” citing the emergence of “intelligence tools” that are “accelerating” changes.
Former staffers quickly threw cold water on his claims, arguing the layoffs were actually the result of over-hiring, particularly during the COVID-19 pandemic.
Instead of a dramatic rise in productivity, what’s far more likely is that companies are draining their pockets by making enormous investments in AI. That’s especially pertinent as the cost of accessing AI cloud computing resources continues to soar, forcing companies to slow down hiring.
Tomi Engdahl says:
The trend, ribbingly dubbed “tokenmaxxing,” has sparked discourse for symbolizing the Silicon Valley’s unbridled infatuation with using AI as much as possible — and, quite literally, at all costs.
But what’s so far been a free or at least low-cost ride could be coming to a screeching halt. Setbacks plaguing the construction of AI data centers have brought the industry’s biggest chokepoint to the forefront: access to the precious computing power that makes frontier models tick.
As costs continue to ramp up, enterprise consumers could soon be left holding the bag, with companies like OpenAI and Anthropic looking to ramp up prices to stem at least some of the bleeding. It’s a notable shift after years of complimentary access to cutting-edge AI, a practice that has long belied the tech’s true costs.
https://futurism.com/artificial-intelligence/economics-ai-tokens-crashing-down?fbclid=IwVERDUASEsHRleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR6NQWJKqzXzQmZqGHRUNrOqsy2A7MnbEEEeayelc1AZqUApVxxqPtmWheLUAw_aem_fqb7ppSz71bNKWHmlbQA2A
Tomi Engdahl says:
Sand Bagged
Marc Andreessen Sputters Incomprehensibly at Question About How AI Will Actually Benefit Humankind
“I mean, look, so it, it is, alright — I mean, alright I’m gonna give you the deepest of all pitches, I’m gonna give you the, the — okay.”
https://futurism.com/artificial-intelligence/marc-andreessen-sputters-ai-benefits
Tomi Engdahl says:
Google Introduces Middleware Architecture for Genkit Applications
https://www.infoq.com/news/2026/05/google-genkit-middleware/
Tomi Engdahl says:
AI can’t fix stupidity – large scale use of AI seems to increase stupidity.
Tomi Engdahl says:
Morons just share AI crap.
Tomi Engdahl says:
AI could transform your job.
A recent BCG study found that AI will reshape about 50 to 55 percent of all jobs, while only 10 to 15 percent of jobs are at risk over the next five years or more.
For CEOs, this raises a critical question: Are you treating workforce strategy as core to your AI transformation – or as an afterthought?
Swipe to see the six categories comprising the BCG Henderson Institute’s AI Labor Disruption Segments, and how each one will be affected by AI.
Read the article here:
https://www.bcg.com/publications/2026/ai-will-reshape-more-jobs-than-it-replaces?linkId=946232129&fbclid=IwdGRjcASFlxxleHRuA2FlbQEwAGFkaWQBqzE5-nH4HnNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHpceBct8MUrUcQ_us-YdjSHj89-eOJrEIS-c7y1sgTCxqZD-Meg_cSWxycfI_aem_ZBbrdXW4UFOjgsXOTxanRQ&utm_source=fb&utm_medium=paid&utm_campaign=120240650306500094&utm_term=120240650306490094&utm_content=120243940025560094&utm_id=120240650306500094
AI Will Reshape More Jobs Than It Replaces
By Greg Emerson, Matthew Kropp, Julie Bedard, Lisa Krayer, Viacheslav Romanov, Megan Hsu, Luis Sanchez Boedo, and Diya Mohnot
Article April 03, 2026 15 MIN read
Key Takeaways
Task automation doesn’t equal job loss. Most roles will remain—but will change substantially.
Our microeconomic model reveals that over the next two to three years, 50% to 55% of jobs in the US will be reshaped by AI.
Workforce strategy cannot sit downstream of automation. It must be embedded in strategy.
For CEOs, the imperative is to focus on achieving the right balance of automation, upskilling, and deliberate talent planning
Tomi Engdahl says:
“CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI.” https://trib.al/qhR9xFa
Tomi Engdahl says:
Padded Office
Influential Tech Founder Says His Peers Are Suffering From Mass AI Psychosis
“CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI.”
https://futurism.com/artificial-intelligence/influential-tech-founder-box-ai-psychosis?fbclid=IwdGRjcASF7kdjbGNrBIXuMWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHqOQYpzYD2z_UGe6x4t5q84dPt4GnU7FCgYoCRe6wLfGSOQC7vwNWatPS8lG_aem_-t4GRSnZmu2V3PTMRchFFA
It’s no secret that many of the world’s top CEOs are obsessed with AI. By pursuing lofty goals of complete AI automation, these executives have created one of the largest financial bubbles in recent memory while transforming the job market into a barren wasteland, with little to show for their efforts so far.
As the top tech companies have yet to find a way to turn AI into a profitable venture, those decisions to go all-in on AI are looking increasingly delusional. According to Aaron Levie, CEO and founder of the massive cloud computing company Box, there’s a simple explanation for it: many of his colleagues are suffering from AI psychosis.
“CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI,”
As an example, Levie offers cases in which corporate executives say “look I made this awesome product prototype” with an AI chatbot. “Yes but you didn’t have to review the code before it went into production and fix a bunch of issues,” he retorts.
Whether “AI psychosis” is the best metaphor for this concept is up for debate. Arguably the most common definition of AI psychosis is that it’s a phenomenon where extreme interactions with AI triggers or amplifies delusions or paranoia, sometimes already existing and sometimes seemingly newly cooked up with the AI.
That said, there’s a major gap between an exec believing they’re targeted by a vast conspiratorial network and an exec buying into AI hype.
In today’s world, many executives and managers operate at an abstract level, working via spreadsheets, emails and Zoom meetings.
Tomi Engdahl says:
https://www.facebook.com/share/r/1CbfP6D8ek/
Tomi Engdahl says:
Käytettiinkö Postin uusissa merkeissä tekoälyä? Soitimme suunnittelijalle
Posti julkaisi uusia postimerkkejä. Kahta merkkiä alettiin epäillä tekoälyn tekemäksi. Soitimme suunnittelijalle ja kysyimme asiasta.
https://yle.fi/a/74-20228571
Tomi Engdahl says:
“People aren’t just complaining about Google’s AI search overhaul, they’re leaving.” https://trib.al/WkgGaRB
Tomi Engdahl says:
Nvidia wants to pay your monthly electric bill in exchange for hosting a mini AI data center
Nvidia wants to pay your monthly electric bill in exchange for hosting a mini AI data center
You could be part of the AI revolution in your very own home
https://www.uniladtech.com/news/ai/nvidia-monthly-electric-bill-ai-data-center-home-175471-20260529?utm_content=tech&utm_medium=Social&utm_source=facebook&fbclid=IwdGRjcASG3TJjbGNrBIbdBWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHkcBlgdSpU3zHGviiF4c3gr76bauF4X-ZTL_XDVyDfWc87iXALx3Rnri1BlQ_aem_ymKYXek5HfA1_raHhnvA4Q
Tomi Engdahl says:
Anthropic is now the most valuable artificial intelligence company in Silicon Valley.
The AI giant announced a $65 billion Series H financing at a $965 billion valuation on Thursday. The financing puts its value above rival AI lab OpenAI.
Full details: cnb.cx/4uFfPOR
Tomi Engdahl says:
Anthropic tops OpenAI as most valuable AI startup, nears $1 trillion valuation in latest round
https://www.cnbc.com/2026/05/28/anthropic-open-ai-startup-value.html?utm_campaign=trueanthem&utm_content=main&utm_medium=social&utm_source=facebook&fbclid=IwdGRjcASHTCRjbGNrBIdMDWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHoAPHmBCeKulY8tA29-lUP4gDNYmo7ksRFjKI-vmv5ZNtOlAvYeB8Z7dH8CS_aem_AYTiFPyHqWoEkIlbUK9FvA
CNBC Disruptor 50
Anthropic tops OpenAI as most valuable AI startup, nears $1 trillion valuation in latest round
Key Points
AI giant Anthropic is now worth more than OpenAI.
Anthropic announced a $65 billion Series H financing at a $965 billion valuation, a round led by Altimeter Capital, Dragoneer, Greenoaks and Sequoia Capital.
The financing puts its valuation above that of rival AI lab OpenAI.
Anthropic is now the most valuable artificial intelligence company in Silicon Valley.
The AI giant announced a $65 billion Series H financing round at a $965 billion valuation on Thursday. The financing puts its valuation above that of rival AI lab OpenAI.
Anthropic’s biggest competitor OpenAI was valued at $852 billion in late March after closing a record-breaking $122 billion funding round.
Anthropic’s revenue has exploded thanks to its popular AI coding assistant, Claude Code. Anthropic also reported a $47 billion revenue run rate on Thursday. That’s up from a $30 billion run rate earlier this year, and $10 billion in annual revenue last year.
The company released its latest model, Claude Opus 4.8, earlier on Thursday. Anthropic has also captivated Wall Street by unveiling Claude Mythos Preview, a model with advanced cybersecurity capabilities that’s only available to a select group of companies.
Tomi Engdahl says:
https://www.cnbc.com/2026/05/29/spacex-skeptics-concerned-as-musk-comments-diverge-from-ipo-filing.html?fbclid=IwVERDUASHTVVleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR51Tk8TOQBfpLjXlF45J_c1yzwtpX5VVuNe6aIB-uWKf-VTE51tpXAS3VOhgQ_aem_wBwu_RC_8Oo0ckK4OXTm2w&utm_source=facebook&utm_medium=social&utm_campaign=trueanthem&utm_content=main
Tomi Engdahl says:
They’re not impressed so far. https://trib.al/UDjNpFf
Tomi Engdahl says:
“I have never knowingly finished reading an email signed by a human but written by AI.” https://trib.al/ArmgMLp
Reality Check
Tech CEOs Have a Problem: Even Their Closest Allies Now See AI as a Sign of Laziness and Dishonesty
“I have never knowingly finished reading an email signed by a human but written by AI.”
https://futurism.com/artificial-intelligence/tech-ceos-problem-ai-laziness?fbclid=IwdGRjcASIrdBjbGNrBIitmWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHhBttcXagOWH8LJQamtZe5IXAzns5kEDM8pfd38ZxbSc8TRh1lsEf-owK69Q_aem_jiYT8cHK_1RYzu6lXmIh7A
Reality Check
Tech CEOs Have a Problem: Even Their Closest Allies Now See AI as a Sign of Laziness and Dishonesty
“I have never knowingly finished reading an email signed by a human but written by AI.”
https://futurism.com/artificial-intelligence/tech-ceos-problem-ai-laziness?fbclid=IwdGRjcASIrgNjbGNrBIitmWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHhBttcXagOWH8LJQamtZe5IXAzns5kEDM8pfd38ZxbSc8TRh1lsEf-owK69Q_aem_jiYT8cHK_1RYzu6lXmIh7A
Tech founders and CEOs are all rapidly adopting AI, deploying it across their companies and personally using it to handle emails and other busywork.
But Paul Graham, the cofounder of startup accelerator Y Combinator and one of the most venerated names in Silicon Valley, has already grown tired of the tech’s influence. When he receives pitches that are AI written, it’s such a turn off that he now closes them on sight.
“A lot of the emails I get from founders are now written in a hard-hitting journalistic style,” Graham wrote this week. ” I know they’re written by AI, because no founder ever wrote this way before. And once you realize something is written by AI, it’s hard not to ignore it.”
To say his feelings were mixed on this would be an understatement.
“I have never knowingly finished reading an email signed by a human but written by AI,” Graham added. “It feels like being lied to, and who would stand for that?”
Tomi Engdahl says:
Amazon says it shut down a token leaderboard: ‘Don’t use AI just to use AI’
https://www.businessinsider.com/amazon-ai-leaderboard-tokenmaxxing-2026-5?fbclid=IwdGRjcASJ9P1jbGNrBIn0s2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHm-55X6p2NgFdRBk1vh2vjpFZScKTNAPdgSRnBfGIxuD6flY4mF_KnTzYnQ0_aem_SfSKt7G3pKG_PZV4_cdQhg&utm_campaign=mrf-insider-marfeel-headline-graphic&utm_source=facebook&utm_medium=social&mrfcid=202605296a19be44b249f31fec70884d
Amazon is looking to minimize “tokenmaxxing.”
The company is shutting down an employee-made leaderboard that tracked AI token use because it encouraged some staff to perform tasks that didn’t necessarily solve problems, just so they could climb the ranks.
“Please don’t use AI just for the sake of using AI,” Dave Treadwell, an Amazon senior vice president, told staff earlier this week. “Use AI to help you solve customer problems, to help you solve business problems, to innovate.”