AI: Our New Year’s Toast to 2026
There’s a strong sense that 2025 was the year AI stopped being a “smart feature” and started behaving like an operating environment. Not an app, but a layer of reality: it seeped into email, code, documents, customer support, legal work, marketing, production—and at some point you notice that work no longer begins with “open Excel.” It begins with a conversation: “build the picture, find the bottlenecks, draft a plan, check the risks, propose options.”
That shift matters because AI in 2025 didn’t merely get “smarter.” It got longer-breathing. It can hold a task not for seconds, but for hours: chaining tools, stacking context, returning to details, and actually moving a workflow forward instead of just talking about it. OpenAI framed this directly in December: GPT-5.2 is about professional work and long agentic processes. Anthropic, almost in sync, tuned its flagship toward heavy agentic workflows and “computer use.”
At the same time, Europe effectively told the industry: this is no longer a toy. And that wasn’t rhetoric. In 2025, the first parts of the EU AI Act began to apply in practice—bans on certain AI practices and mandatory AI literacy in organizations from 2 February 2025. From 2 August 2025, the framework for GPAI models kicked in, while the Act’s “full applicability” in its basic logic lands on 2 August 2026.
So the New Year frame is simple: 2026 will be the year when AI in business is judged not by inspiration, but by procedures, evidence, and accountability.

The 2025 markers that made the shift irreversible
These are not “top ten headlines,” but reference points after which it became hard to keep pretending this was a temporary hype wave.
| Date | What happened | Why it stayed |
| 2 February 2025 | The EU began applying bans on certain AI practices and AI-literacy requirements | Regulation became a mandatory management layer, not a conference topic. |
| 5 April 2025 | Meta released Llama 4 (Scout/Maverick) | The open-weight camp hardened: “open” models became an industry strategy. |
| 18 March 2025 | NVIDIA presented Blackwell Ultra as an AI-factory platform | It became obvious: the next leap is not only algorithms, but factories of computation. |
| 6 October 2025 | OpenAI released AgentKit | The industry stopped “taping agents together” and began standardizing assembly. |
| 24 November 2025 | Anthropic: Claude Opus 4.5 | Models started aiming not at conversation, but at work done by hand: code, migrations, refactoring, tools. |
| 11 December 2025 | OpenAI: GPT-5.2 | A signal to the market: long tasks, agentic chains, and a “professional model,” not just a chat. |
What will hurt and grow in 2026
AI will feel like compliance, not just creativity
In 2025 many teams adopted AI as if it were a new plugin: “bolt it on and see.” In 2026 that won’t be sustainable, especially in Europe. The EU AI Act’s calendar pushes the market toward a moment when “someone in our department uses a model” turns into higher-order questions: who is the provider, what data leaves the perimeter, where is the documentation, who is accountable, how do we monitor, what do we do during an incident. Not because regulators are bored—because AI is becoming decisive inside critical processes, and the cost of error is fundamentally different there.
Agents will take away management drudgery, not “creativity”
The most underestimated shift is that agents don’t take “professions,” they take the coupling between tasks. What used to hang on human memory and endless threads—“did you send it?” “I approved it.” “which version?” “who checked?”—will increasingly be automated. This is precisely why 2025 pushed the industry toward agent toolchains and standardized workflows.
The nuance that matters: winners won’t be those with “the smartest model,” but those with the best operating contour—data governance, permissions, processes, quality control, accountability. AI becomes the manager of small things. And small things, as we know, eat life.
The interface war will intensify: who becomes the user’s default interlocutor
In 2026 the quiet replacement of interfaces will continue. A revealing marker is Google’s plan to move the replacement of Google Assistant with Gemini into 2026. That means the assistant is no longer a standalone feature; it is the entrance into an ecosystem. Whoever controls the entrance controls the habit—and therefore data, subscriptions, and the next app economy.
Hardware and energy will become a first-class part of the AI story
By 2025 it became obvious that AI can be “improved” by buying compute. NVIDIA describes the evolution as an industry of AI factories and reasoning platforms built around Blackwell Ultra. In 2026 conversations about models will increasingly hit banal questions: where are the clusters located, who finances them, how much does inference cost, what about energy, and why “a little better quality” suddenly means “twice the operating expense.”
How FUTURUM will run the AI newsfeed in 2026
We won’t write about “breakthrough breakthroughs.” We’ll track what actually changes market behavior: releases of models and agentic tools, deals and partnerships, infrastructure shifts, regulatory turns, lawsuits, the story of data, rights, and money. And yes—futurist forecasts too, because our magazine is FUTURUM.

