GPT-5 writes memes, Claude writes finance: what AI copywriting can really do today

GPT-5 writes memes, Claude writes finance: what AI copywriting can really do today
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Back in 2023, AI texts seemed like an experiment: “look, a machine wrote an article”. In 2024, they were already starting to push human copywriters in SEO and advertising. And in 2025, artificial intelligence became a full-fledged player in the content market – from memes to corporate strategies.

The market has changed radically: the speed of text production has increased significantly, budgets have been redistributed, and the requirements for human authors have become different. AI copywriting is no longer a “gimmick for tests” but a daily tool for marketers, agencies, and businesses.

At the same time, a new question has arisen: is it really important to be able to distinguish between human and machine-written text today? Does the user not care if the text is catchy and sells? And most importantly, aren’t we trying to solve a problem that has already lost its meaning?

What can AI do in 2025?

Two years ago, we used to perceive AI as an “assistant toll” that writes routine texts. In 2025, everything turned around: artificial intelligence became a full-fledged member of the content team. Its arsenal is so wide that sometimes it’s easier to name what it doesn’t do.

SEO and advertising

AI no longer just “pours” keys into the text. He:

  • analyzes competitors and adjusts the structure to the SERP,
  • optimizes for Featured Snippets and People Also Ask,
  • picks up LSI queries and builds blocks around them
  • tests dozens of variants of titles and descriptions for CTR.

It used to take hours of research and A/B tests. Now it’s just a matter of a single prompt in GPT-5 or Claude.

Email marketing

Here, AI has become a true master of personalization. It pulls data from CRM, takes into account the purchase history and even the emotional state of the customer (yes, tone analysis is already a must-have). As a result, the user receives an email where the text “speaks their language” and offers something that is really interesting.

Social media

AI copywriting adapts to each platform:

  • LinkedIn – expert analytics with references to trends
  • Instagram – easy posts + ready-made scripts for Reels
  • TikTok – descriptions with hashtags and scripts for videos
  • Telegram – meme wording and “insights” format.

As a result, the brand sounds natural in all channels without manual “translation”.

Styles and tones

Today, AI can easily switch between polar styles:

  • an academic article with research citations,
  • short punchline for advertising,
  • friendly “human” conversation,
  • internal jokes and slang of a specific niche community.

And these are not just “blanks”. The algorithm learns from real brand communication patterns, reading its tone of voice, and reproduces it without a “plastic flavor.”

Visualization and multimedia

The text is no longer on its own. AI is integrated with design and video:

  • write a post → get a banner in MidJourney or Canva AI right away,
  • script for Reels → the system pulls up visual elements by itself,
  • article → a series of infographics for Pinterest is automatically created.

Content is transformed into a multi-format turnkey package that can be launched today.

The most powerful tools of 2025

  • GPT-5 – a universal: from creative to deep analytics.
  • Claude – logic, facts, explanation of the complex in simple words.
  • Jasper – leader in e-commerce and sales texts.
  • Copy.ai – mass text generator for advertising and email.
  • Writesonic, Anyword, Hypotenuse AI – more niche, but already integrated into SaaS systems.

In fact, AI has ceased to be an “assistant” and has become a content colleague. It is faster, more flexible, and almost always cheaper. The question now is not whether it can replace humans, but how to make AI and an editor friends to maximize efficiency.

What does “machine text” look like today?

Despite all the upgrades, AI has its own “signatures” that can still recognize its texts. They don’t always catch the eye of an ordinary reader, but for an experienced editor, they are like a watermark.

Repetition

AI likes to repeat itself. It can explain the same thing three times in different words, especially if the topic is narrow. Another “signal” is an overly perfect structure: paragraphs of the same length, the same rhythm, a logical chain without “branches”. On the one hand, it’s beautiful, but on the other hand, it’s too much of a “school essay”.

Cliches and safety

The machine thinks in patterns. “In today’s world,” “it is impossible to overestimate the importance” or “innovative technologies are changing our lives” are classics that still slip through even in GPT-5. Human beings are more likely to add an unexpected metaphor or personal digression.

Logic versus absurdity

AI text sometimes sins with excessive logic – when everything is explained “on the shelves” to the point of losing drive. Sometimes, on the contrary, the system goes crazy: a completely random detail can appear in one paragraph, breaking the meaning (for example, “balance is important in marketing… like cooking borscht”).

Lack of details

Human text always has micro-emotions: reservations, irony, slang, a random joke, a “real life” example. They create the effect of authenticity. AI rarely “stumbles” in this way, and this can make the text sound sterile.

Example: human vs AI
  • Human:“When you launch 5 campaigns at once, your Google Sheets turn into a crossword puzzle where half of the answers are erased by coffee. And then you sit up at three in the morning, look at these numbers and ask yourself: where’s the money, Lebowski?”
  • AI:“Launching multiple advertising campaigns at the same time can lead to difficulties in maintaining tables and analyzing data. In such situations, it is important to properly structure information and optimize workflows.”

The difference is obvious: a machine explains, a person tells a story.

Top 3 AI text factoids in 2025

Let’s fantasize a bit and recall all the “trends” on this subject.

1. When AI tries to be “human”

You’ll feel a real closeness to the product, just like a loved one. Marketing romance!

2. When logic wins over common sense

In the article about finance, GPT-5 gave serious advice: To save money, invest in inexpensive yachts. Question: how to get an installment plan in mono for a yacht?

3. When emotions run wild

Claude generated a paragraph in the text about healthy eating: Broccoli salad can change your life and give you a sense of cosmic freedom. Either the broccoli is really from a new variety, or Claude has become a poet.

Will it be possible to distinguish between human and AI texts in 2025?

In 2023-2024, it seemed that AI detectors would save the world: just upload the text and the system would show whether it was written by a human or a machine. In 2025, everything changed. Detection algorithms work at the level of 50/50, and often get confused in the results themselves. GPT-5 or Claude imitate “human patterns” so well that even the top detectors call their work “human”. And sometimes, on the contrary, they label real journalistic material as “AI.”

Detection algorithms

  • They focus on statistical patterns: repetitions, predictable structure, rhythm.
  • The more advanced the AI, the less of these patterns are visible.
  • The result is a paradox: the highest quality texts are not detected by detectors, but simple, superficial ones are.

Hybrid copywriting

The market no longer thinks in terms of “AI vs. human”. The winner is the AI + editor format:

  • the machine generates the basis (structure, draft, headings),
  • a person adds insights, vivid details, metaphors, examples from real life.
    It is this mix that gives texts that are both fast in production and as authentic as possible.

Why is it getting harder?

An experienced editor can still “catch” the machine style, but even they have to read it twice. For the average reader, there is almost no difference. People simply consume content: if the text captures, sells, or provides benefits, no one thinks about who wrote it.

Today, the question “can AI be distinguished from humans” sounds more and more rhetorical. The main thing is not authorship but efficiency: whether the text works for business and readers.

Practical tips for marketers and copywriters

AI in 2025 is no longer a question of “whether to use” – it is a must-have. The question is different: how to integrate it correctly so as not to get a stream of “plastic” texts and at the same time not to lose the uniqueness of the brand.</span

1. Integration of AI into the funnel (TOFU, MOFU, BOFU)
  • TOFU (top of funnel, reach): an ideal field for AI. Generate dozens of variants of blog posts, guides, and social posts that attract attention. AI quickly tests headlines, formats, and keys.
  • MOFU (middle, warm-up): Here, AI helps to structure arguments, make email chains, create checklists and white papers. However, human editing is required to make the content speak in the voice of the brand.
  • BOFU (bottom of the funnel): AI is well suited for technical descriptions, FAQs, and product pages. But selling cases, success stories, or landing pages with an emotional component are better to be finalized by hand.
2. Where AI can be used “head-on”
  • SEO-optimized texts (subject to fact-checking).
  • Product descriptions in large e-commerce sites.
  • Generation of ideas for creatives and content plans.
  • Drafts for email and social media.
3. Where you can’t do without human editing
  • Advertising creatives that require insight and humor.
  • PR materials, columns, interviews.
  • Texts with a strong emotional component (brand stories, visionary messages).
  • Any materials that touch on specific niche knowledge (for example, arbitration, gaming industry, crypto).
4. How to check AI texts so that they do not sound “plastic”
  • Read aloud.If the text stumbles and sounds like an instruction, it needs to be reworked.
  • Add “human details.” Personal stories, memes, inside jokes of the niche community.
  • Cut repetitions. AI often writes the same thoughts in different words.
  • Test on a micro audience.Show the text to colleagues or a small group of customers to see if it “sticks.”
5. When you only need a “live” experience

AI cannot replace:

  • Cases.Live numbers, campaign results, ROI – they should be taken from real experience.
  • Interview. AI can generate questions, but answers are only from an expert.
  • Insights. Observations from niche practice, “pain” of arbitrageurs or marketers.
  • Unique brand stories.The machine will not live the company’s experience, it will only edit it.

The main rule: AI generates speed, humans generate meaning.A successful 2025 text is a mix of both.

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