AI Copywriting Trends: Future-Proof Your Writing Career

Real World Examples, Predictions, Rising SEO Strategies, Human Relevancy in AI Copywriting

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TL;DR

AI is handling idea generation, SEO optimization, text generation, and data analysis. However, AI-resistant tasks, like integrating emotional nuance, brand voice, and strategic marketing, are demanding a human hand. To stay competitive, copywriters should specialize in AI-resistant skills such as storytelling, quality control, and deep audience research. This guide covers 2025 AI copywriting trends, real-world examples, evolving SEO strategies, and how writers can position themselves as indispensable in the AI era.

What Is The Future Of AI In Copywriting?

AI is generating more text, increasing the need for copywriters and marketers to provide strategic insights and quality control.

“AI is one of the most profound things we’re working on as humanity. It’s more profound than fire or electricity.” – Sundar Pichai, CEO of Google and Alphabet

Artificial intelligence (AI) development is changing industries at a breakneck speed – and copywriting can’t escape it. AI copywriting trends can’t be separated from the future of AI copywriting any more.

Text generation was one of the first user-friendly AI tasks adopted by the public. In the effort it took to message an assistant, you could provide the AI with a prompt on what you wanted written… and it generated it within a few seconds.

Copywriting is a critical factor in driving sales – which is why, in large part, the human-provided service has been so expensive.

Persuasion techniques are their own skillset aside from writing. Even within specific kinds of copy, persuasion is deeply dependent on the kinds of human you’re trying to persuade. And ultimately, pulling all the elements together takes time.

It makes sense that copywriting became a prime target for automation. Businesses are eager to use technology that makes marketing faster and cheaper. And in many cases, better.

This disruption in copywriting feels like the dawning realization chess champion Gary Kasparov must have felt when IBM’s Deep Blue defeated him in just 19 moves back in 1996.

This kind of tech isn’t an interesting novelty anymore. It’s now a force to be reckoned with.

Will AI take copywriter’s jobs? For the copywriter that doesn’t offer competitive value, it already has.

The release of ChatGPT in 2022 revolutionized the way people interacted with AI. Unlike Siri or Alexa, the new AI wasn’t limited to retrieving things on the web or starting up a playlist.

It could generate text and images. It could do research and advanced reasoning.

ChatGPT’s generative capabilities sparked a surge of interest in AI’s potential for creativity and problem-solving. By 2023, OpenAI launched GPT-4, and tech giants like Microsoft and Google joined the race. AI even became integrated into familiar search engines, like Bing (with ChatGPT) and Google (with Gemini).

The zero-click search trend was standard, even before the AI boom (SearchEngineLand, 2019). Now, you type in your question, and you get an AI generated summary with highlights. No need to browse search results to get an answer.

If a company’s content isn’t featured in the AI snippet, it likely won’t get any organic clicks.

Businesses and copywriters alike are racing to figure out how to effectively leverage this new technology. Some worry that their roles are becoming obsolete, while others see AI as a tool to complement their human skills and enhance what’s already working.

Here, we’re exploring AI copywriting trends, challenges, and opportunities in 2025. We’ll discuss:

How to keep AI from taking your job as a copywriter – Exploring AI-resistant skills and strategies.
2025 copywriting AI tools and trends – Reviewing top tools and emerging trends in AI-driven content creation.
Predictions on AI in marketing strategies – Insights from experts on where AI is heading and AI copywriting trends to stay on top of.
Why we still need humans for AI copywriting – Examining AI’s weaknesses and where human creativity isn’t quickly replaced.
Why humans are surprisingly good at seeing through AI – How growing familiarity with AI is improving human recognition of it.

Let’s get started.

Will AI Take My Copywriting Job?

Yes, if you let it – but the AI copywriting trends are seeing a major need for human help with AI-resistant tasks. Things like AI management, quality control, marketing strategy, and target audience understanding.

The modern copywriter has always been adapting to increasingly complex marketing tasks. AI is a revolutionary advancement – but we’re used to those.

Copywriting as both a freelance and in-house role has historically focused on text for ads, posters, and other traditional media. Copy was physically and verbally distributed – a poster nailed to a door, a section in a newspaper, a word-of-mouth recommendation.

With the advent of television, it evolved to include scripting. It was much of the same concept, but could now be more widely distributed.

Within a few decades, the internet era led to another leap – creating the need for search engine optimization (SEO), social media content, and email marketing.

Technology has advanced, but hasn’t made the copywriter’s job simpler.

Now, user-friendly advancements are dramatically reshaping AI copywriting trends. With tools like ChatGPT and Jasper generating endless text, many copywriters worry that writing tasks are becoming obsolete. And companies are enthused at the idea of a seemingly faster, cheaper, better alternative. What could go wrong?

However, copywriters are uniquely positioned to adapt. Specialize in areas where AI still underperforms, and you can leverage your own skills while enjoying AI’s power.

This combination offers more value than AI tools can alone – making your services more appealing to the company needing expert copy.

Specialize in AI-Resistant Tasks

AI is excellent at taking large amounts of data and predicting a response.

Understanding emotional nuance, brand voice, and complex cultural context, however, is not AI’s strong suit.

It’s not that there’s a lack of data around these areas. There’s substantial amounts of it – that’s how we as humans quickly build our intuition around them.

So why does AI struggle to replicate empathy, brand voice, and niche insights?

Because much of this knowledge comes from human interactions that aren’t always well recorded or available in AI’s data.

Additionally, AI may have access to data, but it might not prioritize it enough to include in its response.

For example, say we’re creating product description copy for jeans made for women under 5’2. AI might regurgitate the benefits of great jeans, but miss out on key insider experiences. That niche knowledge is often what triggers a lead’s trust – and eventual purchase.

Look at the difference between these two samples of copy:

ChatGPT-generated copy: “Finally, jeans that fit you perfectly! Designed for petite frames, these jeans offer a flawless, no-hem-needed length with a contoured fit that flatters your shape. Whether you’re heading to brunch or the office, they move with you comfortably—because style should never mean compromise.”

Copywriter’s edit: “Finally, jeans that fit you perfectly! Designed for petite frames, these jeans are no-hem-needed. No stack of creases around your ankles, no torn up hem around your heel. These jeans aren’t just smaller versions of a standard size – you get both a perfect waist AND the right inseam.”

Both could be describing the same product. But the copywriter’s edit drops hints at a human understanding of living as a petite woman struggling to find good fitting jeans.

How would an AI know that petite women often struggle with a specific kind of wear pattern in their jeans?

There may be Reddit forums it could access, possibly product reviews – but would the AI prioritize these data sets over other product descriptions of jeans from reputable sites?

Niche knowledge, storytelling, and empathy make copy persuasive. These require substantial context around the brand, target audience, and product to apply well.

AI struggles with quality copy – not due to lack of data, but lack of relevant data.

Copywriters who excel in storytelling, empathy, and niche research will retain a significant edge over AI copywriting trends. After all, businesses ultimately need to persuade people.

People, not machines, are the ones pulling out their credit card.

We’ll discuss AI-resistant tasks more in the later section.

Use AI to Enhance Productivity

AI copywriting trends aren’t abandoning humans. Rather, it’s reallocating efforts more strategically.

AI can handle idea generation, keyword research, data crunching, and optimization tasks – that alone significantly frees up a marketer. We all work better when we’re not bogged down by ancillary tasks.

In the real world, what does this look like?

In one large scale example, eBay used Phrasee’s AI-powered tool to generate and optimize email subject lines (Phrasee). The AI handled large-scale testing, letting the human team to focus on campaign strategies.

This let eBay create thousands of personalized messages – which has resulted, on average, in an increase of open rates by about 15.8% and a click-rate of 31.2%.

It’s the power of AI with heavy human guidance. The AI needed the human-created strategy, and the team needed the power to scale their efforts.

Justine Del Greco, Marketing Manager Global CRM, eBay, prioritized this human control aspect, saying that since they used the Phrasee-generated language, they saw both their engagement and ROI grow.”

The AI copywriting trends and human guidance combo allows for subject line testing at scale, unhindered by human bias. At the same time, it lets humans quality control the machine’s

Parry Malm, Phrasee’s CEO, noted that an AI-generated subject line like “this campaign is going viral” during the pandemic would not have gone over well, even if it did get more opens (Mediapost, 2020). Human oversight catches those kinds of issues before they’re out into the customer’s hands.

But what about for the smaller-scale business or copywriters?

According to a SurveyMonkey study, here’s what marketers/market researchers are using AI for (SurveyMonkey, 2025). The most common tasks AI is used for include:

Optimizing content (SEO, email campaigns) – 51%
Creating content (slides, blog posts, social media, emails) – 50%
Brainstorming content – 45%
Automating tasks and processes – 43%
Analyzing data for insights – 41%
Conducting research – 40%
Other tasks – 1%

While content creation is a popular use for, the ancillary tasks are just as helpful. What parts of your job could be AI-supported?

Stack Skills That Outpace AI

A staggering 71.7% of non-adopters of AI say that a lack of understanding is their biggest barrier (InfluencerMarketingHub, 2025).

Now, as businesses increase their reliance on AI support, writers with complementary skills will be more competitive.

Some of the most useful AI copywriting trends will be around marketing strategy. Both for your clients and your own business.

Companies know you can use AI for all kinds of things – but how do you actually do that?

How do you use ChatGPT? Or Jasper? Or any other AI tool?
What AI tools/software are the best fit?
How do you get AI to generate on-brand content?
What data is worth analyzing? Where can it be collected, and how do you get AI to analyse it?
How do you stay compliant with legal and ethical standards? And protect sensitive data?
How do you add AI into a workflow?
What key performance indicators (KPIs) matter, and how do you track them to measure AI’s impact?

Companies need help learning how to drive their new AI car. They’re stuck watching competitors already racing ahead, mastering out the controls and reaching their goals.

Sometimes they need marketing strategy help, and they can use AI to take it from there.
Some may need lots of content generated, but quality-controlled by a marketer who understands their niche. This is an opportunity for you to use AI copywriting for them.
Many will need help learning AI from square one.

They need help at a practical level – from someone who understands their industry. You’re the perfect fit.

Pre-AI, copywriters only needed to know how to write persuasively. Now, to stay competitive in the AI era, writers need to go beyond copywriting and stack skills that complement AI copywriting trends.

Mastering AI tools, generating on-brand content, and optimizing workflows will set you apart.

Businesses also need experts who can quality-check AI output, integrate AI into marketing, track key performance metrics, and ensure legal compliance. If you’re not doing it for them, they need help learning how to do it themselves.

By sharpening these skills, you become indispensable – offering the strategy, oversight, and industry expertise that AI alone can’t provide.

Is Copywriting Still Relevant In 2025?

Yes – and there’s a demand for copywriters that can help companies pick AI tools and navigate the trends of SEO changes and homogenized AI-produced content.

AI meets you where you are. So unless you’re a good writer to begin with, you’ll be limited to AI’s best work. And any professional copywriter knows that AI’s work […] is a strong first draft at best.

– Stacey Moore, founder at Hot Goss (LinkedIn, 2025)

AI copywriting trends into a market oversaturated with AI tools. Marketers and copywriters are overwhelmed by the sheer variety.

There’s essentially 2 kinds of AI marketing tools.

Broadly applicable large language models (LLMs), like ChatGPT and Claude.
Specialized tools – LLMs or other models that have training for specific tasks.

Your LLMs open up like a chatbot. There’s a wide range of applications, but you need to guide them carefully to avoid generic outputs. If you’re not experienced with marketing, getting useful outputs can be very challenging.

Specialized tools attempt to fix that issue – and there’s plenty to choose from.

For example, tools like Copy.ai, Jasper, and Writesonic cater specifically to marketing and copywriting needs. They often consolidate several softwares, like integrating ChatGPT for writing and HubSpot for SEO. This creates a more templated experience, making the complex strategy easier to work through. Some specialized tools help the specialized tools do their job better, like Acrolinx, which provides AI-based branding and data protection guardrails.

To add another layer of complexity, many of these platforms are powered by similar core technologies, such as OpenAI (ChatGPT’s source) and Anthropic (Claude’s source). Navigating the overlapping AI tools requires a new level of industry understanding.

Why is this important? Because it reflects some important marketing trends:

AI software developers are seeing that successful marketing has layers of factors. Developers are stepping up to deliver software that gives real ROI, not simply “saves time.” Seasoned marketers don’t want AI that merely generates copy. They want support with the ancillary tasks, like research, editing, strategy, and data analysis to improve campaigns.

High-level strategy has become the standard of AI copywriting trends.

An oversaturated market is overwhelming customers. When customers are overwhelmed, they tend to make poorer decisions and feel more frustrated. One study showed that this buyer’s overwhelm makes deciding more difficult, increases buyer’s remorse, and continued comparison even after making a choice.

Companies are desperate for a guide that helps them feel confident in their decisions about AI.

As a marketer, staying updated on AI trends – especially for your niche – lets you provide strong strategy and ease your client’s overwhelm.

Here are several critical trends are shaping AI copywriting trends:

AI Is Enabling Real-Time Personalization

AI’s ability to process vast amounts of data lets marketers deliver hyper-personalized content in real-time. Customers now get to enjoy highly relevant experiences.

What does AI personalization look like? Predictive analytics is taking a strong lead. It allows marketers to tailor campaigns at a granular level based on user behavior.

It’s basic data analysis with astonishing results. Copywriters have always asked, “What do our best customers love, and how can we sell more to them?” Now, AI can quickly spot those patterns across massive data sets.

For example, an AI tool might analyze thousands of purchases and reveal that customers who buy Product A often return for Product B. This simple analysis is enough to create much smarter upsells.

In a real world example, Amazon utilizes AI to analyze vast amounts of customer data and turn it into personalized product recommendations.

A customer’s search queries, clicks, purchases, demographics, and more are easy to collect – and with AI, they’re easy to analyze to create personalized recommendations in real time. It’s creating tailored upsells with every user interaction.

By examining individual shopping behaviors, Amazon’s AI system (Amazon Personalize) suggests items that align with each customer’s preferences. This both enhances the user’s shopping experience and gets them to buy more.

Companies (and the marketers who assist them) that harness AI copywriting trends with personalization can stand out by providing niche solutions that align with customer needs. The customers enjoy a smoother shopping experience and better-fitting solutions, and the companies get to create an incredibly optimized upsell system.

The Role Of SEO Is Changing

Consumers don’t Google things like they used to. As AI-driven tools increasingly help with search queries, traditional SEO strategies are evolving.

It’s no longer just about ranking on search engines. Businesses must optimize their content to appear on AI-generated summaries from tools like ChatGPT and Google’s Gemini.

Has anyone cracked the code to the new SEO? We’re still collectively learning, but many companies are already finding success with new strategies.

In a case study from DMG, an e-commerce client had high Google rankings, but poor rankings with AI searches. But after implementing a new strategy, they got 140% more traffic through AI search within three months and 45% higher conversion rate with AI-generated leads.

What was in that strategy? It wasn’t adding more keywords.

The strategy was complex, but DMG found success came from:

High-quality data – AI favors well-structured, reliable information. Consistent formatting matters more than sheer volume. Automated validation (using AI or software tools to automatically check data’s accuracy, consistency, and quality) also saved time while improving accuracy.
Semantic relationships – Connecting related concepts helps AI understand content better. Contextual linking helps AI comprehension, and including real-world examples boosts relevance.
Agile implementation – Fast changes lead to quicker results. Small, quick, early updates make a difference, and continuous monitoring helps the long-term success.

As a copywriter or marketer, helping your clients have their technical ducks in a row will set them up for success. Copy needs to be easily digested by both humans and algorithms.

Now that AI can view copy within the context of its own digital ecosystem, having a well-organized, smoothly running website matters more than ever.

Humans and AI Collaborations Are Bringing Out The Best In Both

Marketing material was never simply creating persuasive text. Research, technical setup, analytics, and more helps copy do its job.

AI can now manage a wide range of ancillary marketing tasks, letting marketers focus on creative, high-value activities that need human insight.

AI, when used strategically, breaks through the limits of both the scaling ceiling and the human error cliff. It makes the repeatable tasks substantially faster without decreasing the quality of human-produced work.

For example, a marketing agency might use AI to generate first drafts of blog posts, and handle preliminary research and post-drafting edit suggestions. Human writers could initially guide the outline, then refine the content, and quality-control the research.

While the process is still far from hands-off, AI copywriting trends cut down production time significantly. Writers don’t just enjoy more creative work and less time on tedious tasks and – they can have AI acting as a helpful extra set of eyes to catch anything they might miss. One of AI’s most valuable roles is helping review and refine work

In one real-world example, J.P. Morgan (the largest bank in the United States) collaborated with AI company Persado to enhance their marketing copy. The AI-generated content led to significantly higher engagement rates. In their campaign to promote the paperless option, AI-generated suggestions boosted signups by 40% (Persado YouTube, 2024).

The AI did this by recommending changes to human-written content.

These weren’t generic suggestions. The AI software had the dataset context of J.P. Morgan’s ads, ads from other industries, and ads from their competitors.

Kristin Lemkau, J.P. Morgan’s Chief Marketing Officer, said that she saw the AI make changes that felt so obvious that it made them feel dumb. But on the other hand, AI made some changes that weren’t intuitive, like adding words where a marketer might have taken them out for a cleaner layout (WSJ, 2019).

Human-written headline: “Access cash from the equity in your home,” with “Take a look.” as its call-to-action.

One of Persado’s alternatives: “It’s true – You can unlock cash from the equity in your home” with “Click to apply.”

This collaboration between AI and human writers prevents important details from going through the cracks. These details often have direct ties to conversions.

AI Is Making Content More Homogenized

More content is getting made, but it’s becoming less diverse.

One of the paradoxes of AI copywriting trends is balancing personalization with data homogenization. AI can tailor content to individual users, but it often pulls from the same data sources, making content feel repetitive if not carefully managed.

This isn’t just frustrating for users. It can lead to bigger problems like plagiarism, which harms SEO, and weak brand voice, which hurts audience trust and brand recognition.

Using human marketers gives companies the opportunity to stand out while competitors let AI make their content and brand voice blend in.

While customers expect more tailored answers, achieving this requires AI to serve up increasingly niche information. Companies that develop personalized content strategies are well-positioned to succeed in the competitive AI future.

Earlier, we saw real-world examples that avoided content homogenization:

With Amazon Personalizes, each unique customer’s data was used to generate suggestions for them.
With DGM’s case study, we saw they improved AI search rankings for their client by focusing on structured, high-quality data rather than adding more “optimized” content.
With J.P. Morgan, we saw that they optimized their ad with AI that had relevant data (their ads and their competitor’s ads).

Context and relevant data are king in the AI age. Marketing that resists homogenization stands out more and more as businesses adopt AI. Human copywriters and marketers are uniquely qualified to keep content accurate, relevant, and effective.

What Is The Future Of Marketing With AI?

AI is getting significant traction in real-time insights for targeting, automated lead nurturing, and scaling human marketing skills.

To beginner copywriters, the most relevant AI copywriting trend looks like its text-generation capabilities.

However, seasoned marketers know that AI’s true power lies in data analysis.

AI can process massive amounts of customer feedback, behavioral data, and analytics, then generate predictive insights that improve marketing strategies. This has major implications for real-time targeting and personalization.

Ultimately, it will help businesses deliver more relevant customer experiences and drive higher conversions.

AI Is Doing Real-Time Audience Segmentation and Targeting

“AI has taken over the tedious work… We’re using AI for customer segmentation and dynamic content. All our customers now receive unique emails at a time when they’re most likely to open and engage with it.” – Chelsea Kramaritsch, Now Optics marketing leader

AI can gather and crunch the numbers fast enough to do on-demand personalization.

AI-driven predictive analytics help marketers to segment audiences in real time. It’s already happening, and will likely become more accessible for smaller businesses.

For many companies, user data (behaviors, demographics, etc.) are already available. Instead of relying on predefined groups, AI can use this data to continuously adapt messaging to fit individual behaviors and preferences.

This dynamic targeting can significantly improve engagement and conversion rates.

AI Lets Marketers Get Real-Time Insights To Make Faster Decisions

“Having better prediction raises the value of judgment. Prediction machines don’t provide judgment. Only humans do because only humans can express the relative rewards from taking different actions.” – Ajay Agrawal, Co-Author of “Prediction Machines”

Marketing decisions that once took weeks to test and refine can now be made near-instantly with AI’s real-time data processing.

A/B testing can be scaled dramatically – allowing a copywriter to test significantly more elements.
Dynamic pricing models can use AI to adjust prices instantly based on demand, competition, and customer behavior.
Sentiment analysis tools can track brand perception in real-time, alerting businesses quickly to customer concerns or trends.

However, just because AI excels at detecting patterns doesn’t make those insights useful for next steps. Collectable data is infinite, but deciding what matters and how to act on it is finite.

Those choices require human judgment.

AI Makes Lead Nurturing Automation Easier

“We do a lot of one-night stands in lead generation and not enough long-term relationships.” – Mike King, founder of iPullRank

41% of companies have trouble promptly following up with leads – and 44% of salespeople are too busy to keep up with leads (Exploding Topics, 2024).

This is one of the most damaging funnel leaks. Lead quality becomes hard to improve and lead interest quickly decays.

Great lead nurturing is one of the easiest chances for growth that businesses miss.

AI copywriting trends are streamlining customer relationship management by automating lead nurturing and segmentation. Many steps in lead nurturing are about showing up and delivering value – and it doesn’t have to be done by a real person.

Given how valuable lead nurturing is – things like follow-ups, check-ins, multi-channel connections, and providing useful info – it’s surprising that many businesses don’t have a solid system in place. With machine learning, they can.

Automation isn’t new, but now AI allows for personalized customer interactions instead of generic sequences. Better lead nurturing is already becoming standard, and consumers are quickly becoming less tolerant of un-customized customer experiences.

Companies Are Struggling To Balance AI Efficiency With Human Creativity – And It Shows

“AI cannot replace human qualities like creativity, empathy, and judgment. Instead, AI will amplify our human capabilities and help cultivate our creative spirit.” – Satya Nadella, CEO of Microsoft.

AI can optimize messaging, but marketing success still depends on customers feeling understood. This requires a human touch that AI can imitate well, but struggles to authentically replicate.

An AI can generate text with empathetic language and contextual understanding – but these elements don’t always resonate with human readers. It makes sense, since people don’t connect with fake empathy from people either.

Empathy and creativity are long-game brand strategies. They require lots of listening to the customer – and they require risk.

It’s hard to gather meaningful data, improve, stay consistent, or clarify goals when a company pours its focus into finding the “best” marketing tactics. Without a human hand in marketing, a company risks automating itself in a direction that may not match its goals.

Is There A Future For Copywriters?

Yes – AI marketing desperately needs human copywriters for AI-resistant tasks.

The future of AI copywriting still requires empathy, creativity, and cultural awareness – skills that AI has yet to master. In many areas, it likely never will.

Many tasks resist AI, and even those that don’t still need human guidance.

Here are the biggest reasons AI won’t take copywriters or marketers’ jobs:

AI Needs Help Understanding the Nuances of Customer Pain Points

To identify and speak to customer pain points, AI needs relevant data, which only humans can identify to collect and interpret.

Without this context, AI copywriting trends risk producing generic content that is out of touch with specific customer experiences.

In a real world example, Alibaba (one of the world’s largest online marketplaces) implemented an AI tool to generate product descriptions for its platform. This AI system analyzes product attributes and user reviews to create descriptions.

The copywriting becomes uncomplicated. Bringing AI and existing reviews to a product description both enhances the shopping experience and increases conversion rates.

But the AI-generation feature isn’t what makes these product descriptions so relevant and powerful. It was the human provided data on exactly what their pain points looked like, and how the product resolved them.

Without the human-written reviews, the AI isn’t as effective.

On an ecommerce platform, where customer pain points and solutions are clearly mapped in reviews, AI can easily generate relevant content. But what about businesses with more nuanced offers – where pain points aren’t as clearly defined?

For coaching programs, B2B services, or high-ticket consulting, AI won’t find detailed customer feedback or direct problem-solution data as easily. Human expertise becomes essential to bridge that gap.

Marketers and copywriters need to first identify, collect, and structure relevant insights so AI can create messaging that truly resonates.

Without human input, AI risks generating vague, impersonal, or misaligned content – which deteriorates customer trust and interest.

Training AI to Match Brand Voice is Difficult

Teaching AI to write in a specific tone is like training a new employee – it requires lots of examples, adjustments, and feedback.

While AI is powerful, it can’t read your mind about how you want your copy to sound. It can’t instinctively understand your brand’s style without extensive input.

For example, training AI to use humor may seem straightforward with clear instructions and reference material. But humor varies by audience, culture, and trends.

What’s funny to one group might not resonate with another, and shifts in popular culture can quickly alter something’s meaning. AI struggles to adapt to these shifting nuances without significant and up-to-date data.

Ironically, AI can easily help brand voice improve by tracking conversations outside the company.

In one case, a luxury handbag brand used strat7.ai to scan thousands of social media comments for brand insights. This helped gather insights into brand perception and where conversations were happening – which has major implications for where the brand can focus its presence and dial in messaging.

Humans were involved at every step, from choosing the data collected to deciding how to use it. Brand voice can’t exist without human input – after all, it’s created by people, for people.

AI Can Inadvertently Create Serious Ethical Issues

Ethical marketing stays truthful and legal. Unfortunately, AI can have issues with hallucinations (misleading or incorrect AI results), plagiarism, and biased data – sometimes without users realizing it.

Without human guidance and quality control, a company risks creating marketing that is tone-deaf – or legally problematic.

Amazon ran into this issue when using an AI tool to automate the hiring process (Reuter, 2018). The tool was found to favor male candidates over female candidates.

Why? Because the AI was trained on resumes submitted to Amazon over a ten-year period, which were mostly from men.

In the marketing world, issues with AI copywriting trends are commonly showing up as:

Unintentional plagiarism and copyright infringement
False statistics and and research sources
Fictional product review and case studies

Copywriters and marketers play a high-value role in spotting and correcting these blind spots to safeguard brand reputation.

People Are Getting Better At Recognizing AI Content – And Often View It Negatively.

Like early 2000s CGI, AI-generated content was impressive when it first came out. However, as people interact more frequently with AI, their ability to recognize it improves.

Poorly polished AI content gets the same reaction as outdated CGI in The Matrix Reloaded and Attack of the Clones – it feels low-effort and distracting.

Coca Cola encountered this issue with their 2024 holiday ad created with AI assistance (Forrester, 2024). It was intended to be a throwback to their 1995 “The Holidays Are Coming” commercial – but was criticised for lacking the company’s typical nostalgic feel.

While the ad included important brand details – like the classic red delivery trucks with the brand logo – viewers couldn’t ignore the AI giveaways. Viewers noticed the trucks changing style in each shot, and complained that the uncanny valley look took away from the warmth usually associated with Coca Cola holiday campaigns.

Making content with obvious image generation or AI copywriting trends can be a useful publicity stunt – but the customer doesn’t always perceive it well.

Copywriters are well-positioned to help companies navigate the target audience of a company’s perception on AI content, and leverage it for them. Also, humans can polish an AI content to where it doesn’t come across as AI generated.

Will AI Replace Copywriters?

Not when copywriters provide competitive value. AI copywriting trends are all about getting more sophisticated with our collaboration with technology.

AI won’t replace copywriters and marketers unless it can outperform them without their help – which it hasn’t been able to do consistently in many critical areas.

We’ve automated tasks like data analysis, idea generation, and content optimization. However, AI has limitations in creativity, emotional connection, nuance, producing accurate unbiased data, and generating consistent brand voice.

AI also doesn’t inherently make the multitude of marketing decisions required to build campaigns. We still need humans overseeing copy production because these AI limitations drive copy’s success.

Humans, ultimately, make decisions about company direction. This influences every other aspect of the business, especially ones around marketing and AI.

People decide what data AI should collect, where to integrate AI, and how to measure its impact. If AI isn’t delivering results, they must adjust or rethink its role.

Copywriters have a unique opportunity to be a major asset in these decisions.

For many businesses, AI feels like gaining hundreds of low-cost team members for their marketing. There’s enormous potential to improve revenue…but who does what?

Who needs training, and how should they get trained?
How do you manage AI to improve, not just complicate, operations?
Which tasks still need human experts and shouldn’t be handed off to AI?
How should they work with AI in their workflows?

Businesses need expert copywriter and marketing guidance to figure it out.

The future of AI copywriting is humans doing what they excel at and letting AI handle the rest.

Who Can Help My Website Keep Up With AI Copywriting Trends?

That’s what we do here at Check Copywriting. I’ll help you cut through the hype and build a real strategy that aligns with where AI is heading AND what your ultimate conversion goals. Book a consult to see if you qualify.

AI Copywriting Trends | 2025 Guide

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