Once upon a time, the idea that a machine could write an advertising text or a banner for social media sounded like a science fiction story. However, 2025 proves that artificial intelligence has become commonplace in marketing, and specialists who know how to work with it save businesses money. An AI marketer is a person who combines the experience of a strategic marketer, data analyst, and neural network trainer. A marketer without AI today is like a barista without a coffee machine or a bayer without a tracker: you can work, but it is expensive, long, and nervous. The world is not waiting, and while someone is suffering with spreadsheets, neurons are already generating strategies, calculating ROI, and selecting tracks for viral Reels. This article will help to understand why AI marketers will become more valuable every year, what skills...

In 2025, a marketer without AI is like a banner without a tracker: you can still work, but it's expensive, time-consuming, and nerve-wracking. While someone is up at midnight choosing a font for a banner, AI has already generated creatives for TikTok, Meta, and Google, launched A/B tests, divided the audience into "hot" and "lazy" users, and then calculated ROI for the week ahead. Teams that realized this a year ago are now saving tens of thousands of dollars and outperforming their competitors at the start of the campaign. Teams that still think that "AI is a toy for geeks" are burning budgets in Excel spreadsheets and waiting for the analyst to return from vacation. We have collected 5 tasks that a marketer in 2025 will give to AI without regret and win time, money, and nerve cells. And there...

"Midjourney draws better than me." "Figma already knows where to put the button." "The customer said: why do you need a designer if you have a neural network?" These phrases are not meme jokes, but real thoughts of designers in 2025. AI already draws banners, generates landing pages, and packs logos in a second. And it seems that the market is no longer in shock, but is simply quietly revising budgets for design teams. But despite the hype, there is a nuance: design is not only a picture, but also a context, strategy, user experience, and emotional depth. And while the neural network is generating, someone has to decide what exactly is worth generating and why. Let's talk about 5 design roles that AI will not replace, because they are about meaning and ideas, not pixels. And if you haven't...

"Are you writing a post?" a colleague asks as he passes by. "Yes, I've already written it. Now I'm just going to fight with ChatGPT to remove all this water and come up with something less cringe-worthy." This is what a typical morning in the content department looks like in 2025. They no longer write from scratch, but filter, curate, polish, and come up with promos. Once upon a time, the main thing was to meet the deadline. Now it's about not burning yourself out by editing what "it has generated." ChatGPT, Claude, Jasper, GrammarlyGO change not only the process but also the very essence of content. But do they replace humans completely? Where AI is already a useful assistant, and where you can't do without a smart editor? We have written an analysis: what can be automated, what roles...

AI is a new member of your anti-ban team A ban is the new "hello". In 2025, Meta and TikTok still ban for the word "help," the wrong shade of button, and even your bio if they really want to. But the difference is that now we are not alone. Meet the neural networks that not only write texts and generate creos, but also help you stay afloat in a minefield of moderation. In this article, we will show you how ChatGPT, Midjourney, GPT moderators, and other LLMs use them to: rewrite the creo so that Meta doesn't bother replace "before/after" with something safe but effective and even check the text for banorisk before you get thrown out of the office.   Neurons are not a magic wand. But at least they don't complain, sleep, or break a campaign because...

"Whoever is fastest wins" no longer works. Arbitrager 2025 is about traffic and trust. Cutting off the scam before the first click is a new must-have skill. Why classic methods no longer work Everything used to be simple: you looked at the site - it was okay or scam, checked the domain - new or old, wrote to the TG, got a response, so it was alive. Plus, Google with reviews, and you're already in the know. It seemed that these methods really give a sense of control, fitting into the formula: trust = logic + a little flair. But especially now, when technology is blowing away all the old landmarks, these strategies turn out to be nothing more than a mimicry of confidence. No guarantees, except that you will see exactly what they wanted you to see. Site check...

The world has changed. If the creo doesn't catch your eye, you can't open the landing page, you can't scroll through TikTok, and you can close Ads Manager with a black square in your heart. While some people design three banners a day and add "hand falls", others press three buttons in AI and run a 30-option test while coffee is brewing. It's not about replacing people. It's about pace, scale, and features that actually work. And the main thing is that the market itself prompts: UGC, video, dynamics, speed. Classic moccasins are no longer in demand because Meta wants blood, TikTok wants experiments, and users want magic. So, we have gathered for you the TOP-7 AI tools that are already being used by creatives in arbitrage, ecom, smm, and more. No water, no "if you're an artist" - only...

For months now, AI has been a tool that has been making a real difference in the way digital teams work - from freelancers and startups to experts with over twenty years of experience. And while large companies have more resources to experiment with AI in their work, small teams make every decision critical: they more carefully assess what can be outsourced to AI and where human expertise is important. This article will be a practical guide that will help you figure out how to implement AI efficiently, without toxic layoffs and losing the right people. What is realistic to delegate to AI Routine analytics and reporting Analytics is one of the first areas where AI can immediately yield tangible results. Small teams usually lack the manpower to aggregate data from various sources (Google Analytics, Facebook Ads, CRM, etc.), create...

It used to be that you had to be a designer, analyst, and shaman at the same time: manually testing creatives, guessing who your target audience is, catching patterns in metrics, and keeping dozens of hypotheses in your head. Nowadays, artificial intelligence is partially taking over all of this. But not all of it, and not always in the way that the landing page promises. There are a lot of services. There are even more promises. And, as always, time and budget are scarce. So how can you understand which AI tools really save your budget, speed up work, and increase conversions, and which only imitate intelligence and pour water into your Dashboard? What AI can already do in targeting in 2025 In 2025, AI in targeting will be a full-fledged participant of the process, which already takes over some...