AI trends 2026

Here are some of the the major AI trends shaping 2026 — based on current expert forecasts, industry reports, and recent developments in technology. The material is analyzed using AI tools and final version hand-edited to this blog text:

1. Generative AI Continues to Mature

Generative AI (text, image, video, code) will become more advanced and mainstream, with notable growth in:
* Generative video creation
* Gaming and entertainment content generation
* Advanced synthetic data for simulations and analytics
This trend will bring new creative possibilities — and intensify debates around authenticity and copyright.

2. AI Agents Move From Tools to Autonomous Workers

Rather than just answering questions or generating content, AI systems will increasingly act autonomously, performing complex, multi-step workflows and interacting with apps and processes on behalf of users — a shift sometimes called agentic AI. These agents will become part of enterprise operations, not just assistant features.

3. Smaller, Efficient & Domain-Specific Models

Instead of “bigger is always better,” specialized AI models tailored to specific industries (healthcare, finance, legal, telecom, manufacturing) will start to dominate in many enterprise applications. These models are more accurate, legally compliant, and cost-efficient than general models.

4. AI Embedded Everywhere

AI won’t be an add-on feature — it will be built into everyday software and devices:
* Office apps with intelligent drafting, summarization, and task insights
* Operating systems with native AI
* Edge devices processing AI tasks locally
This makes AI pervasive in both work and consumer contexts.

5. AI Infrastructure Evolves: Inference & Efficiency Focus

More investment is going into inference infrastructure — the real-time decision-making step where models run in production — thereby optimizing costs, latency, and scalability. Enterprises are also consolidating AI stacks for better governance and compliance.

6. AI in Healthcare, Research, and Sustainability

AI is spreading beyond diagnostics into treatment planning, global health access, environmental modeling, and scientific discovery. These applications could help address personnel shortages and speed up research breakthroughs.

7. Security, Ethics & Governance Become Critical

With AI handling more sensitive tasks, organizations will prioritize:
* Ethical use frameworks
* Governance policies
* AI risk management
This trend reflects broader concerns about trust, compliance, and responsible deployment.

8. Multimodal AI Goes Mainstream

AI systems that understand and generate across text, images, audio, and video will grow rapidly, enabling richer interactions and more powerful applications in search, creative work, and interfaces.

9. On-Device and Edge AI Growth

Processing AI tasks locally on phones, wearables, or edge devices will increase, helping with privacy, lower latency, and offline capabilities — especially crucial for real-time scenarios (e.g., IoT, healthcare, automotive).

10. New Roles: AI Manager & Human-Agent Collaboration

Instead of replacing humans, AI will shift job roles:
* People will manage, supervise, and orchestrate AI agents
* Human expertise will focus on strategy, oversight, and creative judgment
This human-in-the-loop model becomes the norm.

Sources:
[1]: https://www.brilworks.com/blog/ai-trends-2026/?utm_source=chatgpt.com “7 AI Trends to Look for in 2026″
[2]: https://www.forbes.com/sites/bernardmarr/2025/10/13/10-generative-ai-trends-in-2026-that-will-transform-work-and-life/?utm_source=chatgpt.com “10 Generative AI Trends In 2026 That Will Transform Work And Life”
[3]: https://millipixels.com/blog/ai-trends-2026?utm_source=chatgpt.com “AI Trends 2026: The Key Enterprise Shifts You Must Know | Millipixels”
[4]: https://www.digitalregenesys.com/blog/top-10-ai-trends-for-2026?utm_source=chatgpt.com “Digital Regenesys | Top 10 AI Trends for 2026″
[5]: https://www.n-ix.com/ai-trends/?utm_source=chatgpt.com “7 AI trends to watch in 2026 – N-iX”
[6]: https://news.microsoft.com/source/asia/2025/12/11/microsoft-unveils-7-ai-trends-for-2026/?utm_source=chatgpt.com “Microsoft unveils 7 AI trends for 2026 – Source Asia”
[7]: https://www.risingtrends.co/blog/generative-ai-trends-2026?utm_source=chatgpt.com “7 Generative AI Trends to Watch In 2026″
[8]: https://www.fool.com/investing/2025/12/24/artificial-intelligence-ai-trends-to-watch-in-2026/?utm_source=chatgpt.com “3 Artificial Intelligence (AI) Trends to Watch in 2026 and How to Invest in Them | The Motley Fool”
[9]: https://www.reddit.com//r/AI_Agents/comments/1q3ka8o/i_read_google_clouds_ai_agent_trends_2026_report/?utm_source=chatgpt.com “I read Google Cloud’s “AI Agent Trends 2026” report, here are 10 takeaways that actually matter”

1,585 Comments

  1. Tomi Engdahl says:

    Turn Inspiration into Cinematic Masterpieces — Your Next-Gen AI Video Director

    The industrial-grade multimodal video generation engine powered by Seedance 2.0. Transform text, images, audio, or video into stunning cinematic masterpieces with native lip-sync and director-level camera control.

    https://cdance.net/

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  2. Tomi Engdahl says:

    Hope for the best, plan for the worst: That’s a philosophy that could protect millions of workers as AI emerges as a threat to human jobs.

    Three careers experts say AI can’t replace
    Jobs that require hands-on physical tasks and are based on human connection most likely to be AI-proof, research has found
    https://www.independent.co.uk/us/money/ai-proof-jobs-careers-b2956766.html?fbclid=IwdGRjcARM28ZjbGNrBEzbK2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHtISzJDuwuX1fu4FEObcRmYYqo_8dOs1X3YcHqOHfuv31RZKmKACihCP3NAq_aem_KWgNFtdxPPq-avADgpJe_g

    Hope for the best, plan for the worst: That’s a philosophy that could protect millions of workers as AI emerges as a threat to human jobs.

    Around 7 per cent of the U.S. workforce is expected to lose their jobs to AI by 2035, according to investment bank Goldman Sachs.

    “AI isn’t coming; it’s already here,” Trevor Houston, CEO at ClearPath Wealth Strategies, wrote in an email to The Independent.

    “This year, we’re seeing it very much taking over a lot of jobs that are repetitive and process-oriented. Everything from customer service, administrative assistants, some marketing jobs [and] some finance jobs. In areas where processes are predictable, AI is moving in very quickly.”

    While it may seem like bleak news for the job market, there are a number of roles that experts believe are more AI-proof than others.

    Nursing
    Nursing is a field that multiple experts believe will withstand AI replacement relatively well. Some of that confidence is based on the inherent skills required for nurses to successfully help patients.

    Dealing with complex human emotions and ethical decision-making are areas where AI will struggle
    “AI lacks the capacity to embrace the nursing philosophy that is grounded in human dignity and cannot be held accountable for its actions.”

    Skilled trades
    Experts believe the trades – typically blue-collar, hands-on roles such as HVAC technician,, electrician or plumber – are among the most AI-proof in the U.S. job market.

    Crisis managers
    A crisis manager helps a company navigate unexpected events through training, preparation and response plans, according to Ohio-based Franklin University. This broad category can include positions in emergency management, emergency response and emergency preparedness.

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  3. Tomi Engdahl says:

    Scared, Angry, Anxious
    Usually, Young People Embrace New Technology. Gen Z’s Attitude Toward AI Should Worry the Entire Tech Industry
    The AI industry has a major problem with young people.
    https://futurism.com/artificial-intelligence/gen-z-attitude-ai?fbclid=IwdGRjcARM4mdjbGNrBEziQGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHnL84JjDJS6kLhTdDVS-Y-IR_ymtrBYwocD3AYgFBIBh1_P3C0jOv_YhqBLd_aem_oXP-Es7fNuTruAYEjGW-Gg

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  4. Tomi Engdahl says:

    Traditionally, young people have eagerly embraced hot new technologies — think Sony’s Walkman, Apple’s iPhone, or Napster — and become major drivers of their success in the workplace and society.

    And if they spurn a new product — remember Microsoft’s Zune, Google+, or Amazon’s Fire Phone? — it’s often a very bad sign.

    That leads us to a new survey from Gallup, GSV Ventures and the Walton Family Foundation that examined Gen Z’s attitudes towards AI, a category the tech industry is currently pushing as if its life depended on it — and found that young people are deeply ambivalent about it, with 48 percent saying that the risks of AI in the workforce outweigh its benefits and a staggering 80 percent saying that using it as a shortcut makes learning more difficult.

    https://futurism.com/artificial-intelligence/gen-z-attitude-ai?fbclid=IwdGRjcARM4q9jbGNrBEziQGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHnL84JjDJS6kLhTdDVS-Y-IR_ymtrBYwocD3AYgFBIBh1_P3C0jOv_YhqBLd_aem_oXP-Es7fNuTruAYEjGW-Gg

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  5. Tomi Engdahl says:

    Azure Dragon Myth
    AI Is Killing Microsoft
    “Redmond is in a pickle.”
    https://futurism.com/artificial-intelligence/ai-killing-microsoft?fbclid=IwdGRjcARNQOhjbGNrBE1ApWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHv-41p68jJiI0xAHWEZ6VgL9J5XBkA0C2GuB9AtxUh9jNgm4EBI0SFq2PLHg_aem_-oeIXBcA27BsR4eGcXsLUg

    OpenAI made headlines this year after announcing it was giving up on what one exec categorized as distracting “side quests,” including its Sora text-to-video app, to double down on enterprise and coding, which are lucrative revenue drivers that could stop the company from hemorrhaging billions of dollars a quarter.

    Many saw the moves as an effort to catch up with competitor Anthropic, whose Claude Code and Claude Cowork have made major headway this year.

    Meanwhile, Microsoft’s AI assistant Copilot is struggling to gain traction, causing the tech giant to fall strikingly behind in the AI race. As CNBC reports, the company just closed out its worst quarter stock performance since the 2008 financial crisis, with shares sliding over 20 percent so far this year.

    Microsoft has made massive investments in data centers and building out its Azure cloud AI infrastructure, but is struggling to efficiently scale up its Copilot assistant without sending expenses soaring.

    Then there’s the major backlash to its Windows team stuffing the operating system with AI features nobody asked for, garnering it the pejorative nickname of “Microslop.”

    The tech giant has been swept up in a much broader market phenomenon dubbed the “SaaSpcalypse” this year, with software-as-a-service companies getting hammered by ongoing sell-offs. Panicked investors are afraid AI coding tools could make their often costly services redundant by allowing firms to develop their own in-house tools from scratch instead.

    “Much of traditional SaaS is dying/in likely terminal decay,” investor Jason Lemkin tweeted amid the panic.

    Microsoft finds itself in a difficult situation. While its Azure cloud business remains a hot commodity among AI companies, including OpenAI and Anthropic, it’s struggling to gain much traction with its own AI tools.

    Reply
  6. Tomi Engdahl says:

    Dylan Butts / CNBC:
    TSMC reports Q1 revenue up 35.1% YoY to ~$35B, net income up 58.3% YoY to ~$18B, both above est., and says 7nm or smaller chips were ~74% of its wafer revenue — Taiwan Semiconductor Manufacturing Company on Thursday reported a 58% increase in first-quarter profit, beating estimates and hitting …
    https://www.cnbc.com/2026/04/16/tsmc-q1-profit-58-percent-ai-chip-demand-record.html

    TSMC posted a 58% profit jump, driven by strong AI chip demand.
    Revenue beat forecasts, marking a fourth straight quarterly record.
    TSMC said advanced chips accounted for about 75% of total wafer revenue in the quarter.

    Taiwan Semiconductor Manufacturing Company on Thursday reported a 58% increase in first-quarter profit, beating estimates and hitting a fresh record as demand for artificial intelligence chips stayed strong.

    Reply
  7. Tomi Engdahl says:

    Wall Street Journal:
    TSMC CEO C.C. Wei says TSMC checked with customers about AI demand and was reassured that it was still strong amid the Iran war, as it raises revenue forecasts — Taiwan company expects revenue to grow by more than 30% and doesn’t see material disruptions to supply chain

    Chip Maker TSMC Is More Bullish Than Ever on AI, Despite Iran War
    Taiwan company expects revenue to grow by more than 30% and doesn’t see material disruptions to supply chain
    https://www.wsj.com/business/earnings/tsmc-posts-profit-beat-despite-middle-east-conflict-f0505d7c?st=rWfiHB&reflink=desktopwebshare_permalink

    Taiwan Semiconductor Manufacturing signaled confidence in global demand for artificial intelligence despite the war in Iran, raising its forecast for revenue and playing down the risk of supply-chain disruptions.

    TSMC 2330 0.24%increase; green up pointing triangle

    , a contract chip maker for clients such as Nvidia and Apple, projected that its capital expenditures for the year would hit the higher end of the $52 billion to $56 billion range projected in January. The company said it expected revenue to grow more than 30% this year in dollar terms, from an earlier estimate of around 30%.

    TSMC’s chief executive, C.C. Wei, said the company had double-checked with customers about AI demand and they reassured the chip maker that it was still strong. That led TSMC to accelerate investments such as building more clean rooms, he said.

    The company reported a gross profit margin of 66% for the first quarter, the highest level in more than 20 years, according to data from S&P Global Market Intelligence, despite weakness in some segments, including an 11% decline in its smartphone business compared with the previous quarter.

    “For anyone wondering whether the AI trade still has legs, TSMC just told us that business has never been better,” Josh Gilbert, an analyst at eToro, said in a note.

    TSMC’s aggressive capital spending and lofty profit margins have made it the nerve center of the global semiconductor industry. Equipment and material makers are clustering around its expanding hubs in Taiwan, the U.S. and beyond. They are aligning with TSMC’s road map to get their share of the profit, further cementing TSMC’s leadership in the global chip supply chain.

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  8. Tomi Engdahl says:

    Bloomberg:
    A TTP analysis finds dozens of nudify apps in Apple and Google app stores via search, despite company policy prohibiting them; the apps earned $122M+ in revenue — Apple Inc. and Google have continued to offer mobile apps that let users make nonconsensual sexualized images of people despite …

    https://www.bloomberg.com/news/articles/2026-04-15/apple-google-offer-nudify-apps-despite-policies-against-them

    Reply
  9. Tomi Engdahl says:

    Clara Hernanz Lizarraga / Bloomberg:
    Big Tech companies say a $90B data center buildout in Spain’s Aragón, one of Europe’s fastest-growing hubs, should be an EU model, as local residents push back

    What Happens When $90 Billion of Data Centers Come to Town
    https://www.bloomberg.com/news/features/2026-04-16/spain-s-90-billion-ai-data-center-plan-draws-amazon-web-services-microsoft?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc3NjMyNTA1MCwiZXhwIjoxNzc2OTI5ODUwLCJhcnRpY2xlSWQiOiJUREtKNDhLR0lGU1EwMCIsImJjb25uZWN0SWQiOiIwNEFGQkMxQkYyMTA0NUVEODg3MzQxQkQwQzIyNzRBMCJ9.ndShcSMbBRgOQbgpJDOZq5JyOLcxamsPaVR9LAZEkGA&leadSource=uverify%20wall

    Big Tech companies say northern Spain’s AI buildout is going so well, it should be a model for other parts of the EU. For local residents, the reality is more complicated.

    When Paz Orge Acebillo’s family received a letter on behalf of Amazon Web Services proposing a “private amicable agreement” to buy the land her family had owned for nearly half a century, she thought it was a scam. The letter cited a government-backed data-center project labelled “of general interest.” It promised her father “superior” compensation and signed off with an urgent request: The family had four days to make their interest known.

    “My mother called me, she was alarmed,” said Acebillo, whose family has long used their small patch of land in Aragón, northern Spain, to grow vegetables and to gather for birthday celebrations, communions and summer evenings.

    “The next day, she went to the town hall and showed the letter to a civil servant, who told her it must be a mistake,” Acebillo recalled. “No matter who you spoke to at the town hall, nobody knew anything.”

    Reply
  10. Tomi Engdahl says:

    Luz Ding / Bloomberg:
    Alibaba’s new Token Hub unit releases Happy Oyster, a new AI world model that can create 3D environments, interactive videos, films, video content, and games

    https://www.bloomberg.com/news/articles/2026-04-16/alibaba-releases-new-ai-model-for-gaming-development

    Reply
  11. Tomi Engdahl says:

    The Information:
    Sources: Apple plans to send ~200 staff from its Siri team, a group internally known as a “laggard”, to a multi-week AI coding bootcamp, as it revamps Siri — Apple is sending a portion of its Siri programmers back to coding school just two months before the company is expected …

    Apple Sends Siri Staffers to Coding ‘Bootcamp’ in Latest Shakeup For Organization
    https://www.theinformation.com/articles/apple-sends-siri-staffers-coding-bootcamp-latest-shakeup-organization

    Apple is sending a portion of its Siri programmers back to coding school just two months before the company is expected to unveil a major, AI-powered revamp of the voice assistant, people familiar with the team said. The company plans to send a significant chunk of people working on Siri—

    Reply
  12. Tomi Engdahl says:

    George Hammond / Financial Times:
    Q&A with a16z partner Martin Cascado, who leads an AI investment team, on why recent AI progress is an industrial-revolution scale event, AI economics, and more

    https://www.ft.com/content/01eacc3a-b461-4271-8c62-032c71dd90ba?sharetype=blocked

    Reply
  13. Tomi Engdahl says:

    Jose Antonio Lanz / Decrypt:
    Anthropic rolls out identity verification that may require Claude users to provide a government-issued photo ID and live selfie to access “certain capabilities” — Anthropic quietly published identity verification requirements for Claude this week, asking certain users to hand …
    https://decrypt.co/364509/claude-anthropic-government-id-kyc-privacy

    You Switched to Claude Over Surveillance Fears. Now It Wants Your Passport
    Anthropic quietly rolled out government ID and selfie verification for Claude—a first among major AI chatbots, and a peculiar pivot for a company whose privacy stance just drove a record wave of users away from ChatGPT.

    n brief

    Anthropic added passport and selfie verification for Claude—no other major AI chatbot currently requires the same.
    The move comes weeks after millions joined Claude specifically over OpenAI’s surveillance deal.
    Verification data goes to Persona’s servers, not Anthropic’s, and won’t be used to train models.

    Anthropic quietly published identity verification requirements for Claude this week, asking certain users to hand over a government-issued photo ID and a live selfie. Something its competitors don’t require.

    “We are rolling out identity verification for a few use cases, and you might see a verification prompt when accessing certain capabilities, as part of our routine platform integrity checks, or other safety and compliance measures,” Anthropic said. “We only use your verification data to confirm who you are and not for any other purposes.”

    Millions of users fled OpenAI for Anthropic in February after OpenAI signed a deal to deploy AI on Pentagon classified networks—a contract Anthropic turned down over concerns about mass surveillance and autonomous weapons. Daily signups broke records, and free users were up 60% since January, Anthropic said at the time. The privacy-conscious crowd had found its home.

    Reply
  14. Tomi Engdahl says:

    Lucas Ropek / TechCrunch:
    OpenAI updates Agents SDK with native sandboxing and an in-distribution harness for deploying and testing agents on long-horizon tasks — Agentic AI is the tech industry’s newest success story, and companies like OpenAI and Anthropic are racing to give enterprises the tools they need to create these automated little helpers.

    OpenAI updates its Agents SDK to help enterprises build safer, more capable agents
    https://techcrunch.com/2026/04/15/openai-updates-its-agents-sdk-to-help-enterprises-build-safer-more-capable-agents/

    Reply
  15. Tomi Engdahl says:

    Dwarkesh Patel / Dwarkesh Podcast:
    Q&A with Jensen Huang on Nvidia’s supply chain moat, competition from ASICs like Google’s TPU, investing in AI labs and neoclouds, selling to China, and more — “If our next several years are a trillion dollars in scale, we have the supply chain to do it”

    Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat
    “If our next several years are a trillion dollars in scale, we have the supply chain to do it”
    https://www.dwarkesh.com/p/jensen-huang

    Reply
  16. Tomi Engdahl says:

    Rebecca Bellan / TechCrunch:
    Objection, which aims to use AI and experts to evaluate claims in news stories, debuts with funding from Peter Thiel, Balaji Srinivasan; evaluations cost $2,000 — After helping lead the lawsuit that bankrupted media firm Gawker, Aron D’Souza says he saw something broken in the American media system …

    Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers
    https://techcrunch.com/2026/04/15/can-ai-judge-journalism-a-thiel-backed-startup-says-yes-even-if-it-risks-chilling-whistleblowers/

    After helping lead the lawsuit that bankrupted media firm Gawker, Aron D’Souza says he saw something broken in the American media system: People who felt harmed by coverage had little recourse to fight back.

    His solution is software. D’Souza says his latest startup, Objection, aims to use AI to adjudicate the truth of journalism. And for the price of $2,000, anyone can pay to challenge a story, triggering a public investigation into its claims. (D’Souza is also the founder of the Enhanced Games, an Olympics-style competition that allows performance-enhancing drugs and is set to debut in Las Vegas next month.)

    Objection launched on Wednesday with “multiple millions” in seed funding from Peter Thiel and Balaji Srinivasan, as well as VC firms Social Impact Capital and Off Piste Capital.

    Thiel, who funded the Gawker lawsuit partly in defense of the individual right to privacy, has long been critical of the media. D’Souza says his goal is to restore trust in the Fourth Estate, which he argues has collapsed over decades. Critics, including media lawyers, warn Objection could make it harder to publish the kind of reporting that holds powerful institutions to account, particularly if that reporting relies on confidential sources.

    Anonymous sources have played a key role in major award-winning investigations into corruption and corporate wrongdoing. These are often people who are at risk of losing their jobs or facing other retaliation for sharing important information. It’s the journalist’s job — alongside their publication’s editors, peers, and lawyers — to ensure that those sources are reliable and not acting out of pure malice and to verify the information they provide.

    Reply
  17. Tomi Engdahl says:

    Saritha Rai / Bloomberg:
    India produces 1.5M+ computer science graduates annually, but scale is no longer an advantage with the rise of AI coding; Infosys revamps hiring to focus on AI — Companies like Infosys are running their new hires through many weeks of training to bring them up to speed on new programming tools.

    India’s Computer Science Grads Are Unprepared for the AI Revolution
    https://www.bloomberg.com/news/features/2026-04-16/the-ai-revolution-leaves-india-s-tech-graduates-unprepared-for-the-future?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc3NjMxNTAwMiwiZXhwIjoxNzc2OTE5ODAyLCJhcnRpY2xlSWQiOiJUREtESzhLR1pBSzIwMCIsImJjb25uZWN0SWQiOiJDNTc5RDIwMDZBQjQ0RjRDODkwMTU0M0U0ODMxNkJCNiJ9.44C44A4_MeaCwh-PThHU6VQuyRyFIhlsWpeI7fiOc40&leadSource=uverify%20wall

    Companies like Infosys are running their new hires through many weeks of training to bring them up to speed on new programming tools.

    Amirul Islam is riding the wave of change sweeping through India’s software services industry—a wave that threatens to cast many of his peers adrift. Freshly graduated from one of the prestigious Indian Institutes of Information Technology, Islam joined Infosys Ltd. in 2022 as one of the tens of thousands of code jockeys the tech giant recruits each year. Today the 26-year-old heads a team reporting directly to the company’s chief technology officer; it’s tasked with designing software that works with AI agents, robotics and vision systems.

    The group’s newest creation: a “vibe coding” tool embedded in Infosys’ proprietary AI platform that allows the company’s consultants to develop software for clients in real time by describing in plain language what they need it to do. This development could do away with the elaborate dance of slide decks and next‑steps meetings that characterizes the work of the company’s customer-facing staff. “They can build a working prototype of a solution within 30 minutes,” Islam says. He recalls how, at a recent meeting with a retailer, the Infosys crew delivered a usable app before the coffee in the conference room had gone cold. “The client went, ‘Wow,’ ” he recalls, flashing a gap-toothed smile.

    AI won’t entirely replace engineers, Islam says, but it will doom “coders who don’t have the ability to articulate newer problems.” Even for someone who’s filed four AI-related patents in the past year, the pressure is palpable. “There’s fear,” he says. Everyone is dogged by the same question: How do I keep up?

    “Graduates who treat AI as a force multiplier rather than a replacement will find a steeper but more rewarding career path”

    Reply
  18. Tomi Engdahl says:

    Duncan Riley / SiliconANGLE:
    Germany-based Synera, which develops AI agents to automate CAD and engineering workflows, raised $40M to expand across Europe, the US, and Asia-Pacific — German agentic artificial intelligence startup Synera GmbH today announced that it has raised $40 million in new funding to scale …

    German startup Synera lands $40M to automate engineering workflows with AI agents
    https://siliconangle.com/2026/04/14/german-startup-synera-lands-40-million-automate-engineering-workflows-ai-agents/

    Reply
  19. Tomi Engdahl says:

    Oliver Whang / New York Times:
    A primer on “interpretability” and how AI researchers are figuring out how to open and understand the “black box” that holds the formulas within most AI models — When Deep Blue, IBM’s chess-playing supercomputer, beat Garry Kasparov in 1997, computers were still just computers.

    We Don’t Really Know How A.I. Works. That’s a Problem.
    https://www.nytimes.com/2026/04/15/magazine/ai-black-box-interpretability-research.html?unlocked_article_code=1.bVA.lqQd.R0bXUKADBhO0&smid=url-share

    For us to trust it on certain subjects, researchers in the growing field of interpretability might need to learn how to open the black box of its brain.

    When Deep Blue, IBM’s chess-playing supercomputer, beat Garry Kasparov in 1997, computers were still just computers. Deep Blue weighed more than a ton, had 32 central processing units and could evaluate 200 million board positions in a second, but everyone knew what it was doing: The computer determined the best next move by simulating, and assigning values to, board positions up to 12 moves ahead (amounting to billions of positions). This ability was programmed into Deep Blue directly by its makers, just as the first modern computer, the Electronic Numerical Integrator and Computer, or ENIAC, was programmed in 1945 to add numbers. These were “white box” systems. There was no mystery around what was going on inside them, even though they were, in a way, intelligent: What else would you call something that was good at chess?

    Fifteen years later, in 2012, a research group from the University of Toronto developed a program called AlexNet (named after one of its creators, Alex Krizhevsky) that identified objects in images far more accurately than any previous program — a capability demonstrated when it handily won an image-classifying competition. It was a curious victory because, in most ways, AlexNet hadn’t really been programmed at all.

    Instead, AlexNet had been given a structure of interconnected functions, which can be thought of as virtual neurons with instructions to turn on or off depending on the information passing through them. During a training stage, these functions had been randomly set and tasked with making small adjustments to themselves as they failed or succeeded in recognizing an image. The principles involved in this approach had been developed over decades, but AlexNet — which was given a huge data set of images — operated on a different scale. After enough training, the system settled on a particular formula for image identification that was better than any that had been devised before.

    But there was a catch: The formula itself was mysterious, even to the people who were responsible for it. Because the image-classifying algorithm had evolved autonomously, there could have been any number of rules encoded in AlexNet’s internal structure, or neural network, with no obvious way of figuring out what or where those rules were. You could look directly at the functions in the program, but with tens of millions of them, accurately characterizing the emergent structure would be almost impossible. The program was essentially a black box.

    Reply
  20. Tomi Engdahl says:

    Rina Chandran / Rest of World:
    Voice actors worldwide are mobilizing to protect their livelihoods and personality rights as Hollywood studios push AI dubbing to replace human performances — Voice AI tools are quickly replacing voice-over and dubbing artists, raising concerns not only about jobs but also loss of cultural relevance in non-English-speaking nations.

    Voice actors fight to save their livelihoods and local cultures from Hollywood’s AI push
    https://restofworld.org/2026/ai-voice-actors-hollywood-dubbing/

    Voice AI tools are quickly replacing voice-over and dubbing artists, raising concerns not only about jobs but also loss of cultural relevance in non-English-speaking nations.

    Global voice actors are mobilizing to protect their livelihoods and personality rights as studios replace human performances with AI dubbing.
    Advocates warn that AI lacks the local nuance and emotion required to maintain a country’s unique cultural sovereignty.
    Some actors can now earn significantly higher rates by intentionally licensing their voices for AI cloning and enterprise tools.

    Reply
  21. Tomi Engdahl says:

    Ivan Mehta / TechCrunch:
    Adobe unveils Firefly AI Assistant, which can orchestrate and execute multistep tasks across Creative Cloud apps, available in public beta in the coming weeks

    Adobe’s new Firefly AI assistant can use Creative Cloud apps to complete tasks
    https://techcrunch.com/2026/04/15/adobes-new-firefly-ai-assistant-can-use-creative-cloud-apps-to-complete-tasks/

    Last October, Adobe previewed a new assistant under the “Project Moonlight” moniker that could do tasks for you by tapping different Adobe apps like Acrobat, Photoshop, and Express. That product is now being launched as Firefly AI Assistant.

    The Firefly AI Assistant will be available in public beta in the coming weeks. The company didn’t specify if the AI assistant will be priced differently from Firefly’s credit-based subscription tiers.

    Like other creative tools, the Firefly AI Assistant lets you describe what you want it to create, and it will handle the rest. Adobe says the assistant can work across apps like Firefly, Photoshop, Premiere, Lightroom, Express, Illustrator, and its other apps to do tasks for you.

    Reply
  22. Tomi Engdahl says:

    Abner Li / 9to5Google:
    Google launches a Gemini Mac app, featuring a keyboard shortcut, screen sharing for better context, image generation with Nano Banana, and more
    https://9to5google.com/2026/04/15/gemini-app-mac/

    Reply
  23. Tomi Engdahl says:

    Jo Constantz / Bloomberg:
    Companies that hire young “AI natives” have found that AI tools can be both helpful and debilitating to workers, in some cases requiring more careful oversight

    https://www.bloomberg.com/news/articles/2026-04-15/how-gen-z-college-graduates-are-using-ai-at-work-and-why-employers-are-worried

    Reply
  24. Tomi Engdahl says:

    Molly Taft / Wired:
    The US EIA plans to implement a mandatory nationwide survey of data centers focused on their energy use, per an April 9 letter to Senators Warren and Hawley

    The US Government Will Ask Data Centers How Much Power They Use
    In a letter obtained by WIRED, the Energy Information Administration tells two senators that it plans to develop a mandatory assessment of data centers’ energy use.
    https://www.wired.com/story/the-us-government-to-ask-data-centers-how-much-power-they-use/

    Reply
  25. Tomi Engdahl says:

    Steven Vaughan-Nichols / ZDNET:
    Cal.com, which provides scheduling software, is moving its core open-source codebase to a closed repository, citing the dangers of AI hacking its open code

    ‘Like handing out the blueprint to a bank vault’: Why AI led one company to abandon open source
    Cal is moving its flagship open-source program to a proprietary model because it can’t cope with the dangers of AI hacking its open code.
    https://www.zdnet.com/article/ai-security-worries-force-company-to-abandon-open-source/

    Reply
  26. Tomi Engdahl says:

    Matthias Bastian / The Decoder:
    Google rolls out Gemini 3.1 Flash TTS, a text-to-speech model with support for over 70 languages and audio tags that give developers granular speech control
    https://the-decoder.com/google-ships-its-most-expressive-gemini-3-1-text-to-speech-model-yet-with-70-language-support/

    Reply
  27. Tomi Engdahl says:

    Gené Teare / Crunchbase News:
    European VC funding in Q1 2026 rose nearly 30% YoY to $17.6B, AI claimed over 50% of all European funding for the quarter, and deal volume dropped 40% YoY

    AI Drives Europe’s Second Straight Quarter Of Funding Gain As Deal Volume Falls Sharply
    https://news.crunchbase.com/venture/funding-picked-up-ai-led-europe-q1-2026/

    European venture funding reached $17.6 billion in Q1 2026, Crunchbase data shows. That’s up nearly 30% year over year and marks the second consecutive quarter of growth. As was the case globally and in North America, the main driver was AI, which for the first time claimed more than 50% of Europe’s total funding for the quarter.

    And as was the case in the Q4 as well, Q1 was well above the prior five quarters by funding amounts, signaling that European venture funding may be gaining momentum.

    Reply
  28. Tomi Engdahl says:

    Samuel Stolton / Bloomberg:
    The European Commission issues a supplementary statement of objections threatening Meta with an interim ban on WhatsApp policies that allegedly block AI rivals

    https://www.bloomberg.com/news/articles/2026-04-15/meta-threatened-with-eu-restrictions-over-whatsapp-ai-concerns

    Reply
  29. Tomi Engdahl says:

    Val Kilmer’s AI replica appears in trailer for new movie a year after his death
    The late actor’s daughter has endorsed ‘As Deep as the Grave,’ saying her father was inspired by the film’s ‘story of discovery and enlightenment’
    https://www.the-independent.com/arts-entertainment/films/news/val-kilmer-ai-trailer-deep-grave-b2958509.html?fbclid=IwdGRjcARN4hFjbGNrBE3h5WV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHn_d0NmT-4nC0gc3ngR92omyFj3JBon4_QTh3b6MlLeEyoNodxwndYRFChd4_aem_hxwQ6k_zMobG48SxjfIr1Q

    Reply
  30. Tomi Engdahl says:

    Tekoäly tekee hittimusiikkia, joka soi jo radioissakin – kanavat eivät voi tietää, rikkooko se tekijänoikeuksia
    Kysyimme radiopomoilta, voisiko tekoälyn tekemää musiikkia nostaa soittolistoille. Ruotsissa niin on jo tehty.
    https://yle.fi/a/74-20206506?fbclid=IwVERDUARO1XJleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR5N34geRojSvZc3LC8UwIP2OrIHX5zLbnCPZlO7zSyx1MfC_tMeW0doetT2-A_aem_pJALxYrDZ9ErRuWbWo53_w

    On vain ajan kysymys, milloin radiokanavat Suomessa joutuvat ratkaisemaan kinkkisen tilanteen:

    Maan isoin hitti on tekoälyn tekemä – pitäisikö meidänkin soittaa sitä?

    Ruotsissa tätä on mietitty alkuvuodesta, kun Spotifyn soitetuimpana kappaleena on roikkunut Jacub-nimisen tekoälyartistin Jag vet, du är inte min. Maan viralliselta singlelistalta se poistettiin jo, koska listalle ei hyväksytä AI:lla tehtyä musiikkia. Radioita tällainen sääntö ei koske.

    Sverige Radion P3-kanavan Digilistan-ohjelmassa kappale on soinut, sillä ohjelmaan valitaan automaattisesti suosituimmat kappaleet radiosta ja suoratoistopalveluista. SR:n virallisille soittolistoille Jacubia ei ole nostettu.

    Guldkanalen-kanavalla kappale on nostettu soittolistalle. Musiikkipäällikkö Daniel Bengtzzon sanoo Ylelle, että kappaletta on toivottu paljon. Kielteistä palautetta ei ole tullut.

    Bengtzzonin mukaan muutamat ruotsalaisartistit ovat jo coveroineet Jacubin kappaletta.

    – Pubeissa ja baareissa soitetaan paljon vanhoja kansanlauluja, joiden tekijöitä kukaan ei tiedä. Kuka tahansa voi niitä esittää ja niistä nauttia. Ehkä tämä on sama asia?

    Suomessa Jacubin kappale on soinut radiossa yksittäisiä kertoja muun muassa Radio Rockilla ja Ylen ruotsinkielisillä kanavilla. Soittolistoille sitä ei ole nostettu.

    AI tekee ”riittävän hyvää”
    Tekoälymusiikkia syntyy järjettömiä määriä.

    Suoratoistopalvelu Deezer raportoi marraskuussa, että palveluun julkaistiin päivittäin noin 50 000 tekoälyn täysin tekemää kappaletta. Se on yli kolmannes kaikesta Deezeriin ladattavasta musiikista.

    Sunon ja Udion kaltaisilla tekoälymusiikkisovelluksilla käyttäjät tehtailevat miljoonia biisejä päivässä. Yksin Sunoon julkaistaan kahdessa viikossa saman verran kappaleita kuin mitä Spotifysta löytyy.

    Kyselytutkimuksissa yli puolet kuuntelijoista vastustaa tekoälyn käyttöä musiikissa, mutta ihmisen ja koneen tekemää musiikkia on usein mahdotonta erottaa. AI tekee ”riittävän hyvää”, ja se riittää useimmille.

    Tekijänoikeudet iso kysymys
    Kysymys siitä, pitäisikö tekoälymusiikkia soittaa radiossa, on ennen kaikkea eettinen.

    Ensinnäkin tekoälyn käytöllä on valtava hiilijalanjälki. Viime vuonna AI:n ilmastopäästöt olivat yhtä suuret kuin New Yorkin kaupungilla.

    Toiseksi tekoälymusiikki voi syödä muusikoiden elinkeinosta. Nelosen musiikkipäällikkö Jussi Mäntysaari pelkää, että AI-kuona jättää alleen kiinnostavampia ihmisten luomuksia.

    Reply
  31. Tomi Engdahl says:

    Anthropic won’t own MCP ‘design flaw’ putting 200K servers at risk, researchers say
    Bug or feature?
    https://www.theregister.com/2026/04/16/anthropic_mcp_design_flaw/

    A design flaw – or expected behavior based on a bad design choice, depending on who is telling the story – baked into Anthropic’s official Model Context Protocol (MCP) puts as many as 200,000 servers at risk of complete takeover, according to security researchers.

    The Ox research team says they “repeatedly” asked Anthropic to patch the root issue, and were repeatedly told the protocol works just fine, thank you, despite 10 (so far) high- and critical-severity CVEs issued for individual open source tools and AI agents that use MCP. A root patch, according to Ox, could have reduced risk across software packages totaling more than 150 million downloads and protected millions of downstream users.

    Anthropic “declined to modify the protocol’s architecture, citing the behavior as ‘expected,’” Ox researchers Moshe Siman Tov Bustan, Mustafa Naamnih, Nir Zadok, and Roni Bar said in a blog about their research, which began in November 2025 and included more than 30 responsible disclosure processes.

    According to the security sleuths, the root issue lies in MCP, an open source protocol originally developed by Anthropic that LLMs, AI applications, and agents use to connect to external data, systems, and one another. It works across programming languages – which means any developer using Anthropic’s official MCP software development kit across any supported language, including Python, TypeScript, Java, and Rust, inherits this vulnerability.

    MCP uses STDIO (standard input/output) as a local transport mechanism for an AI application to spawn an MCP server as a subprocess. “But in practice it actually lets anyone run any arbitrary OS command, if the command successfully creates an STDIO server it will return the handle, but when given a different command, it returns an error after the command is executed,” the Ox researchers wrote.

    Abusing this logic can lead to four different types of vulnerabilities.

    All roads lead to RCE
    The first type of vulnerability, unauthenticated and authenticated command injection, allows an attacker to enter user-controlled commands that will run directly on the server without authentication or sanitization. This can lead to total system compromise, and any AI framework with a publicly facing UI is vulnerable, we’re told.

    The second attack vector, unauthenticated command injection with hardening bypass, allows miscreants to bypass protections and user input sanitization implemented by developers to run commands directly on the server.

    The third type of vulnerability allows zero-click prompt injection across AI integrated development environments (IDEs) and coding assistants such as Windsurf, Claude Code, Cursor, Gemini-CLI, and GitHub Copilot.

    All of the other IDEs and vendors – including Google, Microsoft, and Anthropic – said this was a known issue, or not a valid security vulnerability because it requires explicit user permission to modify the file.

    Finally, the fourth vulnerability family can be delivered through MCP marketplaces, and the threat hunters say they “successfully poisoned” nine out of 11 of these marketplaces – but using a proof-of-concept MCP that runs a command generating an empty file, not malware.

    “The marketplaces that accepted our submission include platforms with hundreds of thousands of monthly visitors,” the security shop wrote. “A single malicious MCP entry in any of these directories could be installed by thousands of developers before detection – each installation giving an attacker arbitrary command execution on the developer’s machine.”

    Reply
  32. Tomi Engdahl says:

    Microsoft exec suggests AI agents will need to buy software licenses, just like employees : https://mrf.lu/HxL9

    Are AI agents employees or tools? A Microsoft exec suggested they’re new paid “seats,” a shift that could reshape SaaS pricing — and spark pushback.

    (Credit: Getty Images)

    #SaaS #AIagents #software #AI

    Microsoft exec suggests AI agents will need to buy software licenses, just like employees
    https://www.businessinsider.com/microsoft-executive-suggests-ai-agents-buy-software-licenses-seats-2026-4?fbclid=IwdGRzaARPV61jbGNrBE9XkGV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHpT49Z5I_NJYAFMAijl2Yua7c0cjsfNTu0j6bytAGQZ_UNpRGbjtByDGoXkv_aem_vlz4FcsPylTk-qjZe0R7RA&utm_campaign=mrf-insider-marfeel-headline-graphic&mrfcid=2026041769e2630e7071be24ed9ceea8

    Reply

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