In recent years, artificial intelligence has become one of the most influential tools in marketing. Predictive analytics, automatic campaign optimization, fast data processing, and scalability have significantly changed the approach to work. What used to take weeks can now be done in hours or even minutes. Platforms such as ChatGPT, Claude, and HubSpot AI are already capable of writing texts, creating advertising materials, suggesting targeting settings, proposing changes to website structure, and assisting with real-time budget allocation. AI is also actively used in web development and code work. At the same time, it is important to clearly understand the limits. Artificial intelligence is not a marketer. It is a tool that works within a given framework and is not responsible for the final result. Why is automation without control a risk? AI really does make digital marketing faster and more...

Just a few years ago, Meta's ban seemed like a mere coincidence. Bad luck with the wording, moderation misread the meaning, the algorithm “glitched.” In 2026, this logic no longer works. Restrictions and blocks are increasingly rarely a system error. Instead, it is almost always a signal: the ad does not fit the new rules of the game. Meta is openly moving towards full automation of advertising using artificial intelligence. Algorithms collect creatives themselves, test options, optimize delivery, and decide what to show the audience. For advertisers, this sounds like a relief. But in practice, the opposite is true. The more control AI gains, the stricter the requirements for the content, design, and logic of advertising become. AI creatives in 2026 are banned not because they are created by a neural network. They will be banned for exaggerated promises, for...

Just a few years ago, AI texts were exotic. Today, they are a working tool used by everyone from freelance copywriters to large media editorial offices and marketing teams. AI writes quickly, evenly, without emotion and without fatigue. And this is where the main pitfall lies. The problem is not that the text was created by a neural network. The problem is that it is increasingly being published without verification, like a draft that accidentally became the final version. Without an editor's eye, without fact-checking, without asking, “Is it really okay to release this to the public?” In practice, the consequences are almost always the same. The text contains inaccuracies or half-truths that sound convincing but do not stand up to scrutiny. The wording becomes too smooth and predictable, as if correct, but without any lively thought. And with this...

Algorithms are fleeting, so while it used to be possible to hope for isolated “hits” and random success, now it makes no sense. Video advertising on TikTok and Reels was the first to show that it is beneficial for the platform's feed if videos can hold the viewer's attention for at least a few seconds and keep them there longer. The coming year 2026 is about radically testing formats that seemed too bold yesterday, and about creativity finally becoming the main lever, rather than an addition to targeting. How the algorithm reads ads The systemic restructuring of video advertising is far from a single update. Initially, TikTok and Meta's advertising algorithms were based on fairly simple logic: more signals → better targeting; optimization for individual metrics → stable results; more budget → faster learning. By mid-2025, it became clear to...

In 2026, AI will no longer be perceived as a separate tool. It will become part of the daily work of marketers and arbitrageurs, just like analytics, trackers, and advertising accounts. The question is no longer whether to use artificial intelligence, but how it is integrated into processes. Those who work with AI on a case-by-case basis simply speed up individual tasks. Those who assemble a complete system from tools make decisions faster and more accurately. It is this difference that determines the result. In this article, we break down the AI tools that will become must-haves in 2026 and explain how to turn them from a set of services into a working stack that really impacts efficiency and profit. The main shift: from “AI for content” to “AI for decisions” Over the past two years, AI in marketing has...

A long interview is not just one video, but 10–30 videos for TikTok, if you edit it correctly. Algorithms don't need perfect editing, they need meaning and emotion. That's why interviews work better than scripted formats. The main mistake is to edit the conversation like a trailer. On TikTok, each clip should stand on its own. In this article, we show you how to turn one conversation into a series of viral Reels and not waste the potential of the content. Which interviews are good for editing and which are not? Not every interview works equally well in a short video format. And it's not about the quality of the footage or the popularity of the speaker. Everything is determined by the structure of thoughts and the way a person speaks. Answers with a clear focus work best for Reels...

The past year has brought breakthrough shifts in the influence and capabilities of artificial intelligence, capable of radically rewriting the work of specialists. AI is becoming increasingly involved in operations. From guiding newbies through the details of what arbitrage or marketing tricks are, neural networks have become a useful tool for every specialist, regardless of skill level. Former content assistants have become a full-fledged operational module with a huge set of functions, in addition to the automation, texts, and concepts offered at the dawn of their development. And the relentless pace of development makes the changes expected in 2026 increasingly unpredictable. AI marketing and arbitration: where they intersect and differ Both marketers and arbitrators have always divided the three basic areas of artificial intelligence between themselves: data processing, content, and routine automation. Previously, this intersection remained specific and situational —...

Google does not block texts created by artificial intelligence. The company has clearly stated that it does not matter who wrote the text — a human or AI. What matters is how useful, original, accurate, and reader-oriented it is, rather than search engine-oriented. In this article, we will explain how to safely use AI in content and not be afraid of penalties, as well as how to optimize texts so that they rank in 2024–2026. Why doesn't Google penalize AI content, but penalizes poor content? Many people still believe in the myth: “AI content = penalties.” I used to fear this too. But Google's position remains unchanged: Google does not penalize AI. Google penalizes poor-quality texts. Therefore, our focus should not be on whether it is “acceptable” to use artificial intelligence, but on what content we publish and whether it...

You scroll through your feed and suddenly you see a virtual influencer. He has millions of followers, collaborations with top brands, and he responds to comments almost 24/7. It sounds like fiction, but it's already reality. Artificially created characters, AI influencers and brand bots, are no longer just a joke and are gradually entering the mainstream. And by 2026, they will not only complement the work of people, but in some cases may even lead advertising campaigns. Data from the Famesters agency confirms the trend: 48.7% of marketers are already using AI in their influencer campaigns, and 62.9% plan to connect AI in the near future. Global AI marketing revenues in 2024 reached $36 billion, and are predicted to exceed $100 billion by 2028. So brands are clearly betting on algorithms that can create emotions. In this article, we will...