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”
608 Comments
Tomi Engdahl says:
After all the hype, some AI experts don’t think OpenClaw is all that exciting
https://techcrunch.com/2026/02/16/after-all-the-hype-some-ai-experts-dont-think-openclaw-is-all-that-exciting/
For a brief, incoherent moment, it seemed as though our robot overlords were about to take over.
After the creation of Moltbook, a Reddit clone where AI agents using OpenClaw could communicate with one another, some were fooled into thinking that computers had begun to organize against us — the self-important humans who dared treat them like lines of code without their own desires, motivations, and dreams.
Tomi Engdahl says:
Agoda’s API Agent Converts Any API to MCP with Zero Code and Deployments
https://www.infoq.com/news/2026/02/agoda-api-agent/
Agoda engineers developed API Agent, a system with zero code and zero deployments that enables a single Model Context Protocol (MCP) server to connect to internal REST or GraphQL APIs. The system is designed to reduce the operational overhead of managing multiple APIs with distinct schemas and authentication methods, allowing teams to query services through AI assistants without building individual MCP servers for each API.
API Agent functions as a universal MCP server. Engineers configure the MCP client with a target URL and API type. The agent automatically introspects the API schema and generates queries in response to natural language input. A single deployment can serve multiple APIs simultaneously. Each API appears as a separate MCP server to clients while sharing the same instance. Adding a new API requires only a configuration update.
Tomi Engdahl says:
If AI writes 100 per cent code at Anthropic, what will engineers do? Claude code chief responds
Anthropic says nearly 100 per cent of its code is now generated by AI, so what are software engineers doing? According to Boris Cherny, head of Claude Code, while AI is handling most of the coding, humans have taken on new responsibilities, including guiding the systems, reviewing outputs and deciding what should be built next.
https://www.indiatoday.in/technology/news/story/if-ai-writes-100-per-cent-code-at-anthropic-what-will-engineers-do-claude-code-chief-responds-2868901-2026-02-16#google_vignette
Tomi Engdahl says:
NanoClaw solves one of OpenClaw’s biggest security issues — and it’s already powering the creator’s biz
https://venturebeat.com/orchestration/nanoclaw-solves-one-of-openclaws-biggest-security-issues-and-its-already
The rapid viral adoption of Austrian developer Peter Steinberger’s open source AI assistant OpenClaw in recent weeks has sent enterprises and indie developers into a tizzy.
It’s easy to easy why: OpenClaw is freely available now and offers a powerful means of autonomously completing work and performing tasks across a user’s entire computer, phone, or even business with natural language prompts that spin up swarms of agents. Since its release in November 2025, it’s captured the market with over 50 modules and broad integrations — but its “permissionless” architecture raised alarms among developers and security teams.
Tomi Engdahl says:
https://www.infoq.com/news/2026/02/agoda-api-agent/
Tomi Engdahl says:
https://www.facebook.com/share/p/1JNqcGkPXu/
Tekoälyn valtavat lupaukset kaikuvat ympäri liiketoimintaympäristöä.
1. Tehokkaampia prosesseja.
2. Nopeampaa päätöksentekoa.
3. Kilpailuetua, joka voi määrittää koko toimialan suunnan.
Ei siis ihme, että yhä useampi organisaatio haluaa ottaa tekoälytyökalut käyttöönsä mahdollisimman nopeasti.
Kiire on kuitenkin huono neuvonantaja, kun kyse on teknologiasta, joka
- käsittelee liiketoimintakriittistä dataa
- tekee päätöksiä ihmisten puolesta
- integroituu syvälle organisaation järjestelmiin.
Lue blogista, miksi turvallinen ja tarvelähtöinen käyttöönotto ei ole tekoälyn ja kehityksen jarruttamista vaan edellytys sille, että tekoälystä saadaan irti kaikki, mitä se voi tarjota.
https://nerdynet.com/tekoalyn-taysimaarainen-hyodyntaminen-alkaa-turvallisesta-ja-tarpeisiin-suunnitellusta-kayttoonotosta-4-keskeista-vaihetta/?utm_source=meta&utm_medium=social&utm_campaign=1902
Tomi Engdahl says:
44% of ChatGPT citations come from the first third of content: Study
https://searchengineland.com/chatgpt-citations-content-study-469483
ChatGPT pulls most from early sections, favoring direct definitions, balanced tone, and dense entities, new research finds.
ChatGPT heavily favors the top of content when selecting citations, according to an analysis of 1.2 million AI answers and 18,012 verified citations by Kevin Indig, Growth Advisor.
Why we care. Traditional search rewarded depth and delayed payoff. AI favors immediate classification — clear entities and direct answers up front. If your substance isn’t surfaced early, it’s less likely to appear in AI answers.
By the numbers. Indig’s team found a consistent “ski ramp” citation pattern that held across randomized validation batches. He called the results statistically indisputable:
44.2% of citations come from the first 30% of content.
31.1% come from the middle (30–70%).
24.7% come from the final third, with a sharp drop near the footer.
At the paragraph level, AI reads more deeply:
53% of citations come from the middle of paragraphs.
24.5% come from first sentences.
22.5% come from last sentences.
Tomi Engdahl says:
OpenClaw vs datasheet
https://youtu.be/fdidNp5IHHI?si=VgCoqxkt0lES4HbM
Lähde: YouTube
https://search.app/HoFjZ