The “AI trend” refers to the rise of AI-generated photos, videos, characters, and creative tools that dominate Instagram, TikTok, and everyday social feeds. It includes viral portrait edits, aesthetic transformations, AI-driven templates, and the new wave of identity-based visuals shared across social platforms.

But the term has grown far beyond just filters and CapCut templates.

In 2026, “the AI trend” also describes a much bigger cultural and technological shift. AI-generated media, virtual influencers, AI agents, robotics, and new model hardware are reshaping how people create, communicate, and build online identities. This broader wave is covered in industry reports from IBM, McKinsey, and other research leaders — showing how AI is becoming integrated into both creative culture and daily life.

Still, when most people ask “What is the AI trend?”, they’re talking about the viral edits they see online.

That’s why this guide breaks the idea into two parts:

• The social media AI trend — the Instagram and TikTok formats that drive huge reach
• The broader AI trend — the industry-wide evolution behind those visuals

And throughout the guide, we’ll point you to deeper breakdowns like our Instagram AI Trend guide and TikTok AI Yearbook Trend tutorial, which explore each platform in more detail.

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Why “The AI Trend” Became a Global Search Term

The phrase “AI trend” didn’t appear overnight. It exploded because people started seeing the same surreal, hyper-stylised transformations everywhere — Instagram portraits, TikTok edits, CapCut templates, and AI-generated visuals that looked nothing like traditional filters. Users wanted to know what these edits were, how they worked, and why everyone was suddenly posting them.

At the same time, the broader AI landscape was evolving fast. Reports from IBM and McKinsey show massive growth in AI adoption, new model efficiency, and the rise of AI agents that automate multi-step tasks. As these breakthroughs hit mainstream media, they blurred the meaning of the phrase “AI trend,” making it refer to both cultural and technological shifts.

This overlap created a perfect storm:

• Creators were using AI for identity, aesthetics, and storytelling
• Platforms were integrating AI tools directly into content workflows
• Businesses were adopting AI for automation and data-driven tasks
• News cycles were covering AI agents, robotics, ethics, and new models

All of this made “AI trend” one of the most confusing yet widely searched phrases in 2025–2026.

Data backs it up. SQ Magazine’s 2025 report shows that AI-powered creative tools inside social platforms are being adopted at record speed. Facelift BBT highlights how AI now shapes everything from concepting to scheduling to optimisation. And academic researchers are studying how people perceive AI-generated media — including trust, authenticity and visual expectations.

So when people Google “What is the AI trend?”, they’re not just looking for a definition.

They’re trying to understand a cultural shift happening at the same time as a technological revolution.

That’s why this guide splits the topic into two parts:
the social media AI trend most people recognise, and the broader AI movement shaping how all of us create, communicate, and interact online.

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The AI Trend on Social Media (What Most People Mean)

For most people, “the AI trend” is the wave of viral edits flooding Instagram, TikTok, and Reels. These aren’t traditional filters — they’re full transformations powered by generative AI models that change the style, identity, or entire look of a photo or video.

This version of the AI trend is visual, accessible, and everywhere. If you’ve seen hyper-real portraits, 3D avatar-style edits, aesthetic transformations, or the viral “AI Yearbook” effect, you’ve already seen it in action.

Here’s how it plays out on the major platforms.

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Instagram’s AI Trend

Instagram has become the home of polished, highly stylised AI looks. Users upload regular selfies and receive:

• hyper-real portrait edits
• CGI-style transformations
• soft aesthetic looks
• 3D avatar-inspired versions of themselves
• themed character versions based on prompts

Creators are adopting these formats because they’re fast, instantly shareable, and highly personalised. SQ Magazine’s 2025 data shows AI-powered content tools are now integrated into mainstream creator workflows — which is exactly why these trends spread so quickly on Instagram.

For a deeper dive, see our full guide to the Instagram AI Trend.

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TikTok’s AI Trend

TikTok is where AI trends turn into cultural moments.

Formats like:

• the AI Yearbook trend
• animated transformations
• multiverse edits
• character-based remixes
• CapCut-generated templates

spread at a speed only TikTok can produce. These trends are less about perfection and more about identity, nostalgia, and humour — three ingredients TikTok’s audience loves.

The platform’s built-in AI effects and CapCut templates remove the complexity, so anyone can participate with a few taps. That accessibility is why TikTok consistently drives the biggest spikes in global search for terms like “what is this AI trend” and “how do I do the AI trend.”

For step-by-step guidance, see our TikTok AI Yearbook Trend tutorial.

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aligns with insights we cover in our AI + Marketing breakdown

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Why These Trends Spread So Fast

AI trends go viral because they blend:

• Identity — users see themselves in new styles or worlds
• Nostalgia — 90s yearbooks, anime looks, retro edits
• Shareability — they’re perfect for friends, couples, and groups
• Low effort — upload → transform → post
• Platform integration — AI is woven into Instagram + TikTok tools

There’s also a social psychology element. Studies from ARXIV show people respond strongly to media that feels both personalised and artificially enhanced — which is exactly what these trends deliver.

In short:
The social media AI trend is the cultural face of AI.
It’s where most users experience AI every day, whether they realise it or not.

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The AI Trend Beyond Social Media (2026 Industry Shift)

While most people recognise the AI trend from Instagram and TikTok edits, the term now covers something much bigger. In 2026, AI is influencing how businesses operate, how content is created, and even how physical systems run. This wider shift is why AI Overviews often show results about automation, AI agents, robotics, and new model hardware — not just viral filters.

Here’s what the broader AI trend looks like outside social media.

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AI Influencers & Virtual Characters

Generative AI has made it possible to create influencers who don’t exist in real life — and audiences are following them just like they follow human creators. These virtual personalities:

• post consistently
• engage in fictional storylines
• collaborate with brands
• maintain full creator identities

It’s a new category of digital personality, and part of the reason the AI trend feels more like a cultural shift than a temporary moment.

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AI-Generated Media, Deepfakes & Synthetic Content

AI-generated images and videos are now everywhere: advertising, entertainment, memes, and even news formats. With that growth comes questions about trust, authenticity, and safety.

Recent research backs this up. Studies from ARXIV in 2025 show how users interpret AI-generated content and how watermarking and provenance systems are becoming essential to maintain transparency. In short: AI-generated visuals aren’t just fun — they’re reshaping how people understand media itself.

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AI Agents & Multi-Step Automation

This is one of the biggest non-visual AI trends happening right now.

Businesses are adopting AI agents — software that can carry out multi-step tasks across systems without human input. According to McKinsey’s State of AI 2025 report, companies are using agents for:

• customer service
• supply chain coordination
• retail automation
• marketing operations
• data handling and reporting

This is part of the “clockwork room” movement, where different business tools are connected through AI so work flows automatically in the background. It’s the practical, behind-the-scenes version of the AI trend — and it’s growing fast.

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AI Hardware, Small Models & New Efficiency Standards

The AI trend isn’t just about what people create — it’s shaped by how capable the technology has become.

IBM’s 2025 AI hardware insights show major shifts in:

• smaller, faster models
• energy-efficient architectures (like BitNet-inspired designs)
• on-device AI processing
• specialised chips for creative workloads

These advances are what make the social media AI trend possible. Faster models = faster edits. Better hardware = more immersive AI effects inside apps. The cultural trend exists because the technical trend has caught up.

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AI in Retail, Healthcare & Real-World Environments

AI is also transforming how physical systems operate:

• Retail: personalised recommendations, smart inventory, automated service flows
• Healthcare: AI-supported diagnostics, real-time monitoring, risk prediction
• Robotics: warehouse automation, hospital support robots, vehicle navigation
• Smart spaces: IoT environments powered by AI

These developments explain why “AI trend” means something different depending on who you ask. For a teenager on TikTok, it’s about aesthetic edits. For a logistics manager, it’s about AI agents coordinating workflows.

Both are correct — they’re just different sides of the same shift.

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What’s Driving the AI Trend? (Psychology + Culture)

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Identity, Reinvention & Self-Expression

AI edits let people see themselves in new aesthetics, worlds, and roles.
That sense of transformation is powerful. It’s fun, personal, and just different enough to feel fresh. This is especially true on Instagram, where polished, stylised visuals shape how users present themselves.

AI gives people a new style to try on — instantly.

Nostalgia That Feels Personal

The 90s yearbook look, retro anime style, Y2K glamour, cinematic portraits — these aren’t random choices. They evoke nostalgia, but in a personalised way. You’re not just looking at a trend; you’re looking at yourself inside a trend.

That combination is why formats like the AI Yearbook trend went global.

Low Effort → High Impact

One of the strongest psychological drivers is simplicity.
AI trends don’t ask users to spend hours editing. They ask for:

• one upload
• one tap
• one share

Platforms like Instagram and TikTok understand this perfectly. They integrate AI tools directly into effects, templates, and editing workflows, making participation frictionless.

When something is easy to join, it spreads fast.

Community & Participation

AI trends are built for groups. Friends tag each other. Couples post versions together. Entire communities join the same transformation. This creates a feeling of inclusion — and when everyone is doing it, no one wants to miss out.

It’s the classic “participation loop,” amplified by AI.

Novelty That Evolves Quickly

AI trends don’t stand still.
Every few weeks there’s a new aesthetic, new transformation, new remix. The tools evolve, the outputs change, and users stay curious. That constant innovation makes these trends feel fresh, not repetitive.

Platforms benefit too, because new formats keep users posting.

Personalisation at Scale

Traditional filters apply the same look to everyone.
AI trends personalise results based on each image, which makes the output feel made for you — not for the crowd.

This is backed by academic research on AI-generated content: the more personalised the output, the more people engage with it, and the more likely they are to share it publicly.

Humour & Playfulness

AI trends aren’t always serious. Many of them are funny, weird, chaotic, or intentionally exaggerated. This matches TikTok culture perfectly, where humour and personality drive reach more than perfection.

The best-performing AI trends often lean into entertainment, not accuracy.

In short:
The AI trend goes viral because it’s personal, nostalgic, shareable, and incredibly easy to join. It blends creativity and identity in a way no previous visual trend could.

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What Tools Power the AI Trend?

The AI trend isn’t driven by one app or one effect. It’s powered by a mix of platform-native AI tools, generative editing apps, and behind-the-scenes models that make transformations fast, clean, and accessible.

In 2026, these tools fall into three main categories:

1. Built-In AI Tools Inside Social Platforms

Instagram, TikTok, and Snapchat now integrate AI directly into their editing workflows.
This means users don’t need specialised apps — the effects live inside the platform.

These include:

• AI-powered portrait filters
• AI style transformations
• Video reframing + auto captions
• Object removal / background swap
• Template-based AI effects

Facelift BBT’s 2025 report highlights how fast these native tools have grown, especially as platforms invest in their own AI models to keep users creating inside the app.

2. Creative Apps With Advanced AI Models

While native tools dominate, third-party apps still play a big role in trend creation, especially when users want a more stylised or cinematic look.

Popular examples include:

• Remini — known for aesthetic portraits and cinematic looks
• Lensa — stylised transformations and character edits
• CapCut — TikTok’s companion app powering most video-based AI trends

These apps now use faster, lower-latency models thanks to improvements in AI hardware and model efficiency — something IBM’s 2025 insights highlight as a major industry shift.

3. AI Models Working Behind the Scenes

Most users never see the underlying tech, but it’s what makes the AI trend possible.

Generative models now power:

• face stylisation
• 3D/CGI transformations
• portrait editing
• motion effects
• aesthetic filter creation
• character building

These models are smaller, faster, and far more efficient than previous generations. Better hardware, on-device processing, and energy-efficient architectures mean transformations that used to take minutes now happen in seconds.

This is where the social-media trend meets the broader AI industry trend — cultural output driven by breakthroughs in model design, agentic systems, and hardware.

In short:
The AI trend is powered by tools that blend simplicity with advanced generative technology. Platforms make the effects easy to use, apps add stylistic depth, and the underlying models do the heavy lifting.

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Should Brands Use AI Trends? (2026 POV)

Yes — brands can use AI trends, but only when it aligns with their tone, audience, and creative direction. The biggest mistake businesses make is copying a trend because it’s popular, rather than asking whether it fits the brand’s personality or purpose.

AI trends spread fast, but audiences are savvy. They can tell when a brand is participating thoughtfully versus jumping in “because everyone else is doing it.”

Here’s our take for 2026.

AI Trends Work When They Amplify Brand Personality

AI-generated visuals are powerful tools for storytelling, identity, and creative play.
If your brand already leans into humour, nostalgia, aesthetics, or experimentation, AI trends can help you express that in ways traditional editing can’t.

This fits consumer expectations, too.
Sprout Social’s recent research shows that 89% of people engage more with brands that show personality, not just polish. AI trends give brands an easy way to be expressive without losing production quality.

But AI Trends Fail When They Replace Your Voice

What audiences don’t want is generic, mass-produced content.
If an AI trend feels disconnected from your brand’s message, it can look like a gimmick. And as Scopic Studios’ 2025 AI trends report shows, brands risk losing trust when AI outputs feel automated or off-tone.

AI should help you create — not speak for you.

The Right Way for Brands to Approach AI Trends

To use AI trends effectively in marketing:

• Adapt the trend to your brand, don’t copy it
• Refine the tone so the output still feels like you
• Keep a human layer in ideation and editing
• Choose trends that match audience mood, not the algorithm alone

This is especially important in 2026, where audiences value authenticity and cultural relevance as much as visual appeal.

AI Trends Aren’t a Strategy — They’re a Tool

The AI trend should sit inside a broader social strategy, not replace one.
AI can help you experiment faster, produce more variations, and join cultural conversations more fluidly, but it’s not a substitute for:

• messaging
• creative direction
• brand story
• content pillars
• community understanding

Those still rely on human insight, judgment, and creativity.

So Should Brands Use AI Trends? Yes — When It Makes Sense

Brands that blend AI creativity with human personality can use AI trends to:

• reach new audiences
• increase shareability
• express brand voice in new ways
• participate in cultural moments
• test fast without heavy production

The key is to use AI as an accelerant, not an identity.

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How Brands Can Use AI Trends Well (Framework + Examples)

AI trends can unlock huge creative opportunities — but only when brands use them intentionally. The goal isn’t to chase virality for the sake of it. It’s to use AI as a tool that enhances your brand voice, not one that replaces it.

Here’s the simple framework we use with clients.

1. Start With Your Brand Personality, Not the Trend

Before jumping into any AI trend, ask:

• Does this match our tone?
• Does it reflect our values?
• Does it feel like something our audience would enjoy?
• Can we adapt it so it feels on-brand?

If the answer is no to any of these, skip it.

Strong brands don’t follow every trend — they choose the ones that align with who they are.

2. Adapt, Don’t Copy

Most AI trends come with ready-made templates. That’s why they spread so quickly.
But brands need to customise the look or narrative so the output feels intentional.

Ways to adapt an AI trend:

• Change the visual style to fit your brand palette
• Add text, captions, or messaging that reinforces your point of view
• Turn a transformation into a storytelling moment
• Pair the visual with a human-led explanation or hook

You’re not trying to reinvent the trend — just anchor it in your world.

3. Keep a Human Layer in the Process

AI will give you a first draft. You should refine the rest.

Effective AI trend content still needs:

• human editing
• brand tone
• humour, nuance, or emotion
• a message that resonates
• context that makes sense

This is where the creative team adds the depth that AI can’t.

4. Use AI Trends for Testing and Experimentation

One of the biggest benefits of AI trends is how quickly you can test concepts.
It’s a smart way to learn what your audience responds to without heavy production work.

Examples of what you can test:

• different narrative angles
• tone variations
• storytelling pacing
• aesthetic directions
• creator-led vs brand-led formats

AI trends give you speed — you supply the strategy.

5. Use AI Trends as Conversation Starters, Not End Points

The best trend execution isn’t the post — it’s the conversation it sparks.

Encourage:

• comments
• duets
• stitches
• shares
• audience participation

If your AI trend post becomes a community moment, you’ve done it right.

6. Real Examples of How Brands Use AI Trends Well

These are fictionalised but realistic examples based on campaigns that worked.

Example 1 — Beauty Brand

Uses an AI portrait trend to show “future selves” with different skincare routines.
Message: your skin can evolve — here’s how we help.

Example 2 — A Fitness Brand

Adapts a TikTok AI transformation trend to show users at different milestones.
Message: consistency creates progress.

Example 3 — Hospitality Brand

Uses an AI aesthetic trend to visualise dream holiday versions of their followers.
Message: we turn moments into experiences.

All three examples use AI as the format — not the message.

The Rule We Tell Every Client

If the trend makes your brand louder, clearer, and more human — use it.
If it makes your brand unrecognisable — skip it.

The Future of AI Trends (2026–2027)

The AI trend isn’t slowing down — it’s evolving.
As models get faster, platforms get smarter, and creators get more comfortable using AI in their workflow, the next generation of AI trends will look very different from the first wave of portrait edits and yearbook transformations.

Here’s where AI trends are heading next.

1. More Personalised AI Templates

AI trends will become far more customised.
Instead of one shared look for millions of users, tools will create personalised versions based on:

• your photos
• your style preferences
• your browsing behaviour
• your past content engagement

This shift is powered by more efficient models and better on-device AI — trends highlighted in IBM’s 2025 hardware and small-model insights.

The next wave of trends won’t just be “the 90s look” — they’ll be “your 90s look,” tailored uniquely for you.

2. AI Built Directly Into Platform Creation Tools

Instagram, TikTok, and YouTube are already integrating AI into:

• editing
• captioning
• reframing
• visual effects
• content templates

In 2026–2027, this becomes deeper.
We’ll see platform-native AI that supports:

• storyboarding
• idea generation
• pace and structure suggestions
• hook optimisation
• auto-cutting long videos into multiple formats

This is the beginning of AI-integrated creativity — not just AI filters.

3. Hybrid AI + Human Storytelling

The next phase of AI trends won’t rely on visuals alone.
They’ll blend:

• human narrative
• AI-assisted visuals
• creator-led commentary
• personalised story arcs

Generative AI becomes a supporting character in storytelling, not the main attraction.

Creators who can mix AI with humour, emotion, and point of view will lead the next wave of visual culture.

4. AI Agents Powering Background Creativity

As McKinsey highlights, AI agents capable of multi-step tasks are becoming widely adopted.

In the context of trends, this could look like:

• agents creating rough edit drafts
• agents suggesting hooks based on past performance
• agents assembling multiple content variations
• agents identifying trend opportunities before they peak

Behind-the-scenes automation means creators and brands will spend more time shaping the narrative — and less time doing repetitive production tasks.

5. AI-Generated Characters & Virtual Identities

Virtual influencers and AI-led characters will become more common.
These characters will have:

• storylines
• personalities
• consistent aesthetics
• long-term narrative arcs

The line between creator and character will blur, and AI-powered alter egos may become their own trend genre.

This expands how brands think about identity and creative expression.

6. Cross-Platform AI Trend Ecosystems

Trends won’t stay platform-specific.
AI will help creators produce formats that automatically adapt to:

• TikTok
• Instagram Reels
• YouTube Shorts
• Snapchat
• emerging short-form platforms

AI will reformat, resize, or repurpose content instantly, making trend participation easier and more coordinated across channels.

7. A Bigger Industry Shift Behind the Scenes

Technavio’s media and entertainment forecasts show major investment in generative tech through 2028.
This means:

• more competition in AI tools
• more powerful model releases
• more creative AI capabilities
• more integration directly inside consumer platforms

The cultural AI trend exists because the industry AI trend is accelerating beneath it.

What This Means for Brands and Creators

AI trends in 2026–2027 will be:

• more personalised
• more narrative-driven
• less template-like
• more integrated with platforms
• more powered by background agents
• more aligned with identity and storytelling

The takeaway is simple:

AI isn’t replacing creativity — it’s expanding the canvas.
The brands and creators who embrace this hybrid future will shape what AI trends look like next.

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Conclusion

The AI trend isn’t one single thing — it’s two movements happening at the same time.

On social media, it’s the viral edits, portrait transformations, and creative templates that dominate Instagram and TikTok. These formats are accessible, personal, and deeply woven into how people express themselves online.

Behind the scenes, it’s a much larger shift.
AI agents, new model hardware, automated workflows, and generative tools are transforming how content is created, how businesses operate, and how digital experiences evolve in 2026 and beyond.

Both versions of the AI trend matter — and they’re connected.
The cultural side exists because the technical side keeps accelerating.

If you want platform-specific breakdowns, see our guides:

• Instagram AI Trend
• How to Do the AI Yearbook Trend on TikTok
• Will Marketing Be Replaced by AI?

Together, these posts explain how AI is reshaping visual culture, content creation, and the future of marketing.

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FAQs:

What is the AI trend?

The AI trend refers to the rise of AI-generated photos, videos, characters, and creative tools across Instagram, TikTok, and other social platforms. It also describes the wider shift toward AI agents, automation, and new model hardware shaping digital culture in 2026.

What is this AI trend everyone is doing?

Most people are talking about the viral AI portrait edits, aesthetic transformations, CapCut templates, and TikTok effects that turn a simple photo or video into a stylised, AI-generated version. These formats are at the centre of the social media AI trend.

Why is the AI trend so popular?

Because it’s personal, nostalgic, and easy to use.
AI trends let people transform themselves in seconds using tools built into Instagram, TikTok, and creative apps. The outputs feel unique, which makes them highly shareable.

How do I do the AI trend?

It depends on the platform.
On Instagram, use AI-powered portrait effects inside the Reels or Stories editor. On TikTok, use AI transformation effects or CapCut templates. For more detailed steps, see our guides to the Instagram AI Trend and TikTok AI Yearbook Trend.

What tools are used for the AI trend?

Most trends use:

• platform-native AI tools (Instagram, TikTok, Snapchat)
• creative apps like Remini, CapCut, or Lensa
• fast generative models running behind the scenes

Many of these tools became more powerful as AI hardware and small-model efficiency improved in 2025–2026 (IBM insights).

Is the AI trend safe?

Generally yes, as long as you use platform-native tools or reputable apps.
However, studies from ARXIV show that AI-generated media can sometimes cause confusion around authenticity, so be cautious with tools that mimic your identity too closely.

What is the new AI trend in 2026?

2026 trends focus on more personalised outputs, cinematic transformations, and hybrid storytelling formats powered by faster generative models. AI agents, virtual characters, and on-device AI editing are also shaping new trends.

Will AI replace creators?

No — AI speeds up editing and idea generation, but creativity, storytelling, humour, and cultural awareness still require humans. AI supports creators, it doesn’t replace them.

Can brands use AI trends?

Yes, as long as the trend aligns with your brand’s tone and audience.
AI trends work best when brands adapt them, rather than copy them. The strongest results come from blending AI visuals with human-led personality and narrative.

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This blog post was created with the help of an AI tool, which speeds up Born Social’s publishing process. A digital marketing specialist has reviewed this content before it was published. You may report any errors to info@bornsocial.co.