How to Use AI Video Generator for TikTok

The State of AI on TikTok in 2025: Opportunity vs. Risk

The digital content landscape of 2025 is defined by a distinct paradox: while artificial intelligence has democratized high-fidelity video production to an unprecedented degree, the algorithmic and social appetite for "authenticity" has never been more voracious. For content creators, social media managers, and small business owners, this environment presents a precarious high-wire act. On one side lies the immense potential of AI to scale production, automate tedious editing, and visualize the impossible—essentially granting a solo creator the output capacity of a mid-sized production studio. On the other lies the growing "AI fatigue" among audiences and the increasingly sophisticated detection mechanisms employed by TikTok to filter out low-quality, automated "slop."

The era of simply typing a prompt and uploading the raw output to a passive audience has definitively ended. The strategy that dominates 2025 is the "Viral Hybrid Workflow"—a cyborg approach that leverages AI for heavy lifting (scripting, b-roll generation, preliminary editing) while rigorously injecting human oversight into the hooks, emotional pacing, and final polish. This report provides an exhaustive analysis of this landscape, detailing the technical workflows, platform policies, and creative strategies necessary to navigate the TikTok ecosystem in 2025.

Understanding the "AI Spam" Algorithm Update

In late 2024 and continuing into 2025, TikTok rolled out significant updates to its recommendation algorithm specifically targeting low-quality, mass-produced AI content. This shift was necessitated by the explosion of generative tools like Sora 2, Kling 2.6, and Runway Gen-3, which flooded the "For You" feed (FYP) with visually impressive but substantively hollow videos. The platform's response has been to deprioritize content that lacks "human signals" of engagement.

The algorithm now heavily weighs retention and interaction metrics that AI-generated content often struggles to sustain without human intervention. While AI tools can generate visually stunning 1080p or 4K clips, they often lack the narrative coherence and emotional resonance required to hold a viewer's attention past the first three seconds. Data suggests that channels relying 100% on automated workflows—where scripts, visuals, and voiceovers are all AI-generated without manual curation—are seeing plummeting reach compared to hybrid channels.

The penalty for "AI spam" is often invisible. Creators may not receive a formal violation notice; instead, their content is simply categorized as low-value inventory, effectively "shadowbanned" from the high-velocity FYP distribution that drives virality. This algorithmic suppression is driven by user feedback signals. TikTok has explicitly introduced tools allowing users to filter their feeds, a direct response to the "slop" phenomenon where users are inundated with nonsensical or repetitive AI-generated clips.

Furthermore, the definition of "originality" has tightened. The 2025 algorithm is adept at recognizing recycled synthetic footage. If multiple accounts use the same prompt-generated clips or stock AI avatars without significant transformative editing, the system flags these as unoriginal. This incentivizes the use of advanced features like "Elements" in Kling or "Character Consistency" in Sora to create unique, channel-specific assets rather than generic outputs.

Algorithmic Signals and Penalties

The algorithmic shift is not merely a penalty on "AI" as a category, but rather a penalty on the behavioral signatures associated with lazy AI production. These signatures include:

• Visual Repetition: The algorithm detects identical or near-identical visual hashes from stock AI generation. If 500 users prompt "cyberpunk city rain" on the same day and upload raw outputs, the algorithm suppresses the cluster to preserve feed diversity.

• Engagement Velocity Drop-off: AI content often has high "click-through" (due to clickbait visuals) but disastrous "retention" (due to lack of substance). The 2025 algorithm penalizes this specific disparity—high click/low watch time—more severely than in previous years.

• Passive Consumption: Content that generates passive scrolling rather than active commenting, saving, or sharing is deprioritized. Hybrid content that engineers "human moments" (controversy, humor, empathy) generates the interaction signals necessary to survive the filter.

The Mandatory Labeling Rule

Compliance is no longer optional. In 2025, TikTok formalized its stance on synthetic media with a mandatory labeling policy that carries severe consequences for non-compliance. The platform requires that any realistic AI-generated content be clearly disclosed to the viewer. This is not merely a suggestion but a Terms of Service requirement designed to combat misinformation and maintain user trust.

Mechanisms of Disclosure

TikTok provides a native toggle feature during the upload process that labels the video as "AI-generated." Additionally, the platform has integrated Content Credentials (C2PA) technology, which automatically detects metadata from major AI tools (like OpenAI’s Sora or Adobe Firefly) and applies the label regardless of the creator's action. This "invisible watermarking" means that creators cannot simply crop out a visible logo to evade detection; the provenance of the file is embedded in its code.

Consequences of Non-Compliance

Ignoring the labeling rule is a high-risk strategy. Accounts that repeatedly fail to disclose realistic AI content face a tiered system of penalties:

1. Content Removal: Videos may be taken down for violating community guidelines regarding misleading content.

2. Reach Reduction: Unlabeled AI content that is detected by the algorithm is often suppressed, receiving zero distribution outside of the creator's existing follower base.

3. Account Strikes: Persistent violations can lead to permanent account bans, particularly if the content mimics public figures or realistic news events.

However, the "manage topics" feature introduces a new dynamic. Users now have the power to actively reduce the amount of AI content in their feeds via their settings. This means that even properly labeled AI content faces a narrower audience than human-generated content, reinforcing the need for the Hybrid Workflow. If a creator’s content is indistinguishable from mass-produced AI, it is liable to be filtered out by users who have opted for a "low AI" diet. The only way to bypass this filter is to produce content so engaging and high-quality that users do not perceive it as "spam," even if it carries the mandatory label.

The "Manage Topics" Filter and Reach

The introduction of the "Manage Topics" feature in late 2025 allows users to customize their content consumption preferences. Specifically, users can choose to see "less" AI-generated content. This feature puts direct power in the hands of the audience to curate their experience. For creators, this means the potential audience for AI content is variable and potentially shrinking among certain demographics that value "raw" authenticity. Conversely, specific niches like "Digital Art" or "Science Explainers" may see increased engagement from users who explicitly opt-in to see more of this technology-driven content.

The Sociology of "Algorithm Fatigue"

A critical, often overlooked aspect of the 2025 landscape is "Algorithm Fatigue." Users have become hyper-aware of the synthetic nature of their feeds. The novelty of AI-generated visuals—which drove massive engagement in 2023 and 2024—has waned. This is similar to the "CGI fatigue" seen in cinema; audiences are no longer impressed by spectacle alone.

Expert perspectives from social media strategists highlight that this fatigue necessitates the "Hybrid" approach not just for algorithmic safety, but for psychological survival. Users crave connection. A purely AI-generated video feels sterile. When a user detects that a video is "slop," they scroll immediately. This rapid scroll signals to the algorithm that the content is irrelevant. Therefore, the "Hybrid" workflow is essentially an empathy injection—adding the human flaws, voice inflections, and specific cultural references that AI models, trained on generalized datasets, invariably miss.

Choosing Your AI "Tech Stack" (Categorized by Goal)

In 2025, the market for AI video generation has matured into a complex ecosystem of specialized tools. There is no single "best" tool; rather, the most effective creators build a "stack" tailored to their specific content strategy. The following analysis categorizes the leading tools based on their primary utility for TikTok creators, moving beyond simple feature lists to discuss workflow integration.

For Faceless Channels (Text-to-Video)

Faceless channels—accounts that rely on voiceovers, stock footage, and motion graphics—have been revolutionized by the "Big Four" video models of 2025: Sora 2, Kling 2.6, Runway Gen-3 Alpha (and Gen-4), and Veo 3.

Sora 2 (OpenAI)

Best For: High-end cinematic storytelling and surrealism. Technical Analysis: Sora 2 is often described as a "world simulator." Its understanding of physics and object permanence is superior to most competitors, allowing for complex shots where characters interact with their environment realistically. It also features integrated audio generation, creating synchronized sound effects that match the video's action. This "native audio" capability reduces the need for external foley work, streamlining the workflow for atmospheric content. Workflow Fit: Ideal for channels that focus on "What If" scenarios, sci-fi concepts, or historical visualizations where realistic physics (e.g., water simulation, cloth movement) are crucial for immersion. Limitations: Access can be restricted or expensive, and strict safety filters may limit certain creative concepts. The "uncanny valley" effect can still be present in human close-ups, necessitating careful prompting or editing.

Kling 2.6 (Kuaishou)

Best For: Character consistency and longer narrative sequences. Technical Analysis: Kling has emerged as a favorite for narrative creators due to its "Elements" feature, which allows for robust character consistency across multiple shots—a critical requirement for storytelling. It supports longer video generations (up to 60+ seconds) and offers "Motion Brush" for precise control over movement within the frame. The ability to upload a reference image and have the AI animate it while retaining facial features is a game-changer for serialized content. Workflow Fit: Perfect for "Storytime" channels, serialized fiction, or mascots where the same character must appear in different locations. The "Elements" feature allows you to build a digital actor that acts as the face of the channel. Weaknesses: As a Chinese platform, interface localization and payment gateways can occasionally be friction points for Western users, though the quality often justifies the effort.

Runway Gen-3 Alpha / Gen-4

Best For: Abstract visuals, style transfer, and precise camera control. Technical Analysis: Runway remains the tool of choice for "artistic" or highly stylized faceless channels (e.g., horror, sci-fi, abstract loops). Its "Motion Brush" and camera control parameters are highly granular, allowing creators to act as directors of photography. It excels at adhering to specific prompt structures for lighting and texture. The "Director Mode" allows for specific camera moves (pan, tilt, zoom) that are essential for the dynamic editing style of TikTok. Workflow Fit: Ideal for music visualization, aesthetic mood boards, and background visuals for text-heavy videos (e.g., "Stoic Quotes" or "Psychology Facts").

Veo 3 (Google)

Best For: High-resolution rendering and integration with YouTube Shorts. Technical Analysis: Veo 3 offers 1080p+ resolution and is increasingly integrated into the broader Google/YouTube ecosystem. It excels at photorealism and understanding complex prompts. Its integration with YouTube Shorts suggests a future where cross-posting between TikTok and Shorts becomes seamless via this tool.

For Personal Brands (AI Avatars)

For creators who want a "face" for their brand without the need to film daily, AI avatars have crossed the threshold from robotic to nearly indistinguishable from reality.

HeyGen

Focus: The "Digital Twin" leader. Analysis: HeyGen dominates the personal brand space in 2025 due to its "Instant Avatar" and "Interactive Avatar" features. It allows creators to upload a short sample of themselves to create a digital twin that mimics their micro-expressions and voice intonation with startling accuracy. Its translation features also allow creators to output content in multiple languages, expanding global reach. The "Lifestyle" avatars in HeyGen are designed to look casual (hoodies, t-shirts) rather than corporate, fitting the TikTok aesthetic perfectly. Pricing: Competitive entry-level plans make it accessible for individual creators.

Synthesia

Focus: Corporate and educational polish. Analysis: While HeyGen leans towards social media agility, Synthesia remains the gold standard for corporate or educational content. Its avatars are incredibly stable and high-resolution, though they can sometimes feel slightly more "formal" or stiff compared to HeyGen's lifestyle-oriented models. It is ideal for "news anchor" style accounts or educational explainers where authority and clarity are paramount.

For Repurposing Long-Form Content

The strategy of "clipping" long-form podcasts or YouTube videos into viral TikToks remains highly effective. In 2025, AI tools have moved beyond simple trimming to intelligent curation and reformatting.

OpusClip

Focus: The "Virality Score" standard. Analysis: OpusClip is widely regarded as the leader for automated repurposing. Its proprietary AI analyzes long videos to identify hooks, emotional peaks, and "viral moments," assigning a virality score to each clip. It automatically reframes horizontal content to vertical (9:16), keeping the speaker centered, and adds dynamic captions. The 2025 update includes "B-roll insertion," where the AI listens to the context (e.g., "I drove a Ferrari") and overlays relevant stock footage automatically. Key Feature: Its ability to detect context means it rarely cuts a speaker off mid-sentence, a common issue with lesser tools.

Vizard

Focus: Editorial control and layout flexibility. Analysis: Vizard offers a balance between automation and manual control. It excels at multi-speaker layouts (e.g., split screens for podcasts) and provides a text-based editing interface where deleting text deletes the corresponding video frames. This is ideal for creators who want to polish the AI's rough cuts.

Munch

Focus: Trend-jacking and keyword analysis. Analysis: Munch differentiates itself by analyzing current TikTok and social media trends to select clips that are topically relevant now. It extracts keywords and hashtags based on the video content, helping with SEO optimization. If "Crypto" is trending, Munch will find the crypto segment of your podcast first.

Comparison Table: AI Video Tools for TikTok (2025)

Step-by-Step: The "Hybrid Viral" Creation Workflow

The "Hybrid" workflow acknowledges that AI is excellent at structure and spectacle but poor at nuance and empathy. This workflow assigns tasks accordingly to maximize efficiency without sacrificing the human connection that drives the algorithm. It is a "sandwich" method: Human Strategy -> AI Production -> Human Polish.

Phase 1: AI-Assisted Scripting & Hooks

The biggest mistake creators make is asking ChatGPT to "write a viral TikTok script." The output is almost always generic, riddled with clichés (e.g., "In the world of..."), and lacks a true hook. The Hybrid approach uses AI to structure the script based on proven viral frameworks.

Prompt Engineering for Trends

Instead of generic requests, use "Role-Based" and "Framework-Based" prompting. You must act as the "Director" giving instructions to a junior writer.

The "Who Hurt You?" Trend Prompt:

• Concept: A trend where someone shares a hyper-specific, traumatic, or dramatic story that implies a backstory of resilience or chaos.

• Prompt Strategy:

  "Act as a viral TikTok screenwriter. I need a 30-second script based on the 'Who hurt you?' trend. The niche is. The tone should be. Structure: 1. A visual hook showing a disastrous client result. 2. A specific, overly detailed dialogue line from the 'villain' of the story. 3. A deadpan reaction shot. Do not use hashtags or emojis in the dialogue."

The "Day in the Life" Prompt:

• Concept: Authentic, behind-the-scenes look at a routine.

• Prompt Strategy:

  "Write a 'Day in the Life' script for a in 2025. Use the 'Contrast' framework: Alternate between the 'Instagram vs. Reality' perspective. For every glamorous shot (e.g., coffee shop aesthetic), provide a 'Reality' shot (e.g., debugging code for 4 hours). Keep sentences under 7 words for fast pacing."

Key Insight: Use AI to generate variations of hooks. Ask for "10 variations of the first 3 seconds," then use your human judgment to pick the one that triggers the strongest emotional reaction (curiosity, outrage, relatability). The AI provides the volume; the human provides the selection.

Phase 2: Visual Generation & Style Transfer

Visual consistency is the hallmark of a professional channel. Random AI clips look like spam. A curated visual identity looks like a brand.

Character Consistency (The "Kling" Workflow)

For narrative channels, maintaining a recurring character is essential for building a parasocial relationship with the audience.

1. Create the Master Asset: Generate your protagonist in Midjourney or Kling using a detailed prompt. Save this image.

2. Use "Elements" or Reference Images: In Kling 2.6, upload this master image into the "Elements" or "Character Reference" slot.

3. Prompt for Action: "A running through a neon city, --cref [Link to Master Image]." This ensures the face and clothing remain consistent across different videos.

4. Sora Character: Similarly, Sora 2 allows for a "Custom Character" ID. Once a character is generated and approved, you can reference their unique ID in future prompts to summon the exact same model.

Style Transfer for B-Roll

If you are mixing real footage with AI footage, use style transfer to bridge the gap. Tools like Runway or DomoAI can take your rough "selfie" footage and apply a consistent anime or cinematic filter, blending it seamlessly with your fully generated clips. This creates a unified aesthetic that looks intentional rather than cobbled together.

Phase 3: The "Human Layer" (Crucial Step)

This is where the "Cyborg" strategy differentiates itself. You must insert human elements to bypass the "uncanny valley."

1. The Voiceover: While AI voices (ElevenLabs, CapCut AI) are excellent, a human voiceover still outperforms in terms of retention. If you must use AI, use "Speech-to-Speech" features where you record the script yourself (even badly) and the AI creates a polished voice using your inflection and timing. This preserves the emotional "acting" that text-to-speech models often miss.

2. Manual Overlays & Trending Audio:

Never rely on the AI video generator's background music. It is usually generic and lacks cultural relevance.

• Action: Mute the AI video. Go to TikTok's "Trending" audio tab. Select a track that fits the mood.

• Volume Mixing: Set the trending audio to 5-10% volume so it doesn't overpower the voiceover but still registers with the algorithm as utilizing trending metadata. This is a crucial signal for the recommendation engine.

3. The "Millennial Pause" Removal: AI video often has a "boot up" sequence where the subject is still for a fraction of a second. Manually trim the first 0.5 seconds of every AI clip in CapCut to ensure movement starts immediately. This micro-editing prevents the subconscious "this is fake" trigger in the viewer's brain.

4. Interactive Stickers: Use TikTok's native interactive elements like "Add Yours" stickers or Polls. These cannot be generated by AI and must be added during the upload process. They invite active participation, which is the "human signal" the algorithm craves.

Advanced Prompt Engineering for Vertical Video

TikTok's 9:16 aspect ratio presents unique challenges for AI models trained primarily on horizontal cinema or square images.

Prompting for the 9:16 Aspect Ratio

Most beginner mistakes involve generating square images and cropping them, resulting in low resolution and poor composition (e.g., the top of the head is cut off). To achieve professional quality, you must force the model to render natively in vertical format.

• Midjourney/Niji: Always append --ar 9:16 to the end of your prompt. This forces the model to compose the image vertically from the start, ensuring the subject is framed correctly within the tall canvas.

• Sora/Kling: These models now support native aspect ratio prompting. Use keywords like "Vertical video," "Portrait mode," or "9:16 aspect ratio" at the beginning of the prompt to prime the composition engine.

Subject Framing:

When prompting for a speaking subject in 9:16, explicitly state: "Subject centered, medium shot, headroom included." This prevents the "extreme close-up" issue where the chin or forehead is cropped when the video is rendered.

Simulating User-Generated Content (UGC)

The "glossy" look of early AI video (smooth, hyper-realistic, slow-motion) is now associated with low-effort spam. To succeed in 2025, you must engineer "imperfection" into your prompts to mimic authentic UGC. The goal is "Lo-Fi Luxury."

Keywords for "iPhone Quality":

• "Shot on iPhone 15 Pro Max"

• "Vertical phone footage"

• "Snapchat quality"

• "Harsh flash photography"

• "Slight camera shake"

• "Poor lighting" / "Bedroom lighting"

The "Messy Room" Aesthetic:

AI tends to generate perfect, sterile environments (the "IKEA showroom" effect). To make content relatable, prompt for clutter and imperfection.

• Prompt Example: "A messy teenage bedroom, unmade bed in background, piles of clothes on chair, dim LED strip lighting, shot on handheld camera, shaky footage, realistic grain, --ar 9:16".

Motion Prompts:

Avoid "smooth cinematic pan." Instead, use:

• "Handheld camera movement"

• "Quick whip pan"

• "Selfie mode camera drift"

• "POV shot" This "simulated amateurism" signals authenticity to the viewer, lowering their guard against "commercial" or "bot" content.

Optimizing AI Content for the Algorithm (SEO & Retention)

The TikTok algorithm is fundamentally a search engine. Your video must be machine-readable to be distributed to the right audience.

Using AI for Captioning and Keywords

Silent scrolling is prevalent. Captions are mandatory. But in 2025, captions are also your primary SEO metadata.

• Tools: Submagic, Descript, and CapCut's auto-captions are the industry standards. They offer "Karaoke style" animations that keep eyes on the screen.

• Keyword Injection: Do not just caption what is said. Use AI tools to rewrite your captions to include SEO keywords. If your video is about "Skin Care," but you don't say "Acne Treatment" in the audio, use an on-screen text overlay that says "Best Acne Treatment 2025" for 2 seconds. The algorithm reads this text (OCR) and indexes your video for that search term. This is a critical hack for expanding reach beyond your immediate follower base.

Retention Hacking with AI Editing

Retention (watch time) is the primary ranking factor. The "Hybrid" editor uses AI to artificially inflate retention by manipulating the visual pacing.

• The 3-Second Rule: Use tools like OpusClip or CapCut to insert a visual change every 3 seconds. This resets the viewer's attention span.

• Dynamic Zooms: Use AI "smart crop" or "dynamic zoom" features to slowly zoom in on the subject's face during intense dialogue, then cut to a wide shot for the punchline. This subtle movement prevents the "static AI stare" that often bores viewers.

• B-Roll Injection: Use "Match Media to Script" features in editors like CapCut. If the script says "I was feeling overwhelmed," the AI automatically inserts a clip of a chaotic environment or a stressed person. Manually review these to ensure they aren't generic stock footage—replace generic clips with your custom-generated "consistent character" clips for better branding.

Ethical Considerations & Monetization

Navigating the financial and legal landscape of AI content is as important as the creative process.

Copyright and Ownership

As of the 2025 US Copyright Office (USCO) reports, the legal standing of AI-generated content remains complex.

• No Copyright for Pure AI: Content generated entirely by AI with no human intervention is not copyrightable. You cannot own the rights to a raw Sora output.

• Human Authorship Required: However, the USCO has clarified that human-modified AI content can be protected. This reinforces the Hybrid Workflow. If you write the script, edit the footage, add voiceovers, and overlay text, the final video is a derivative work with sufficient human authorship to be copyrighted.

• Platform Rights: TikTok's terms grant them a license to use your content, but monetizing "stolen" or "infringing" styles remains a violation.

Monetization on TikTok Creator Rewards Program

The 2025 Creator Rewards Program has strict "Originality" criteria that can be a trap for AI creators.

• The Trap: Many creators are disqualified for "Unoriginal Content" because they upload raw AI clips that others have also used (due to similar prompts). The algorithm sees the same visual hash and flags it.

• The Fix: To remain eligible, your AI content must be "significantly modified."

  • Never upload raw AI video.

  • Always add a human voiceover (or unique AI voice generation).

  • Always use high-density editing (cuts, overlays, music).

  • Appeal Strategy: If flagged, appeal by showing your workflow (screen recordings of you editing the video). This proves "human effort" and often reverses the automated ban.

Avoiding the "Deepfake" Trap

Strict policies prohibit the use of AI to mimic the likeness of real people (celebrities or private citizens) without consent.

• Policy: TikTok will ban accounts using unauthorized deepfakes of public figures, even for parody, if not explicitly labeled and within narrow "public interest" exceptions.

• Ethics: Use "Generic" avatars or your own "Digital Twin." Do not use AI to make a celebrity say something they didn't say. This is the fastest way to a permanent ban.

• Ethical Sourcing: The backlash against AI "stealing" artist styles is real. To mitigate this, consider using "Ethically Sourced" AI tools like Adobe Firefly, which is trained on Adobe Stock images where the original creators are compensated. Mentioning this in your bio ("Art created with ethical AI") can actually be a brand asset, signaling to your audience that you respect the creative community.

FAQ: Common AI TikTok Myths Debunked

Q: "Will TikTok ban me for using AI?" A: No. TikTok provides tools to use AI (like Symphony and AI effects). They will not ban you for using AI; they will penalize you for hiding it or posting low-quality spam. Proper labeling and high engagement metrics act as a shield against suppression.

Q: "Can AI videos go viral in 2025?" A: Yes, but rarely "by accident." Viral AI videos in 2025 are either technically groundbreaking (showing something never seen before, like Sora 2 physics) or narratively strong (using the Hybrid workflow where AI is just the visualizer for a great human script). The "faceless motivation channel" using stock AI clips is a dying niche; the "storytelling channel" using consistent AI characters is the rising star.

Q: "Does the 'Manage Topics' filter mean my AI content is dead?" A: It means your lazy content is dead. Users who filter out AI are filtering out "slop." If your content is entertaining enough, users will engage with it regardless of the "AI-generated" label. Furthermore, niche audiences (tech, sci-fi, art) are opting in to see more of this content.

Q: "Is it better to use a human voice or AI voice?" A: Human voice is safer for retention and trust. If you are uncomfortable recording, use "Voice-to-Voice" AI (like ElevenLabs' speech-to-speech) to act out the script yourself and have the AI polish the timbre. This preserves the human cadence—the pauses, breaths, and emphasis—that keeps listeners hooked.

Q: "What about Shadowbanning?" A: The "Shadowban" debate is heated. User reports on Reddit and Twitter suggest that labeling content as "AI" can lead to an immediate reach reduction of 20-30%. However, not labeling it can lead to a 100% reduction (takedown). The consensus among experts is that the "compliance penalty" is the lesser of two evils. The strategy is to accept the labeled reach but compensate with higher quality to win the algorithm's favor through retention signals.

Conclusion

The "Viral Hybrid Workflow" of 2025 is not about replacing the creator; it is about augmenting them. The tools available—Sora 2 for world-building, Kling for characters, OpusClip for curation—are powerful, but they are merely instruments. The algorithm, and the human audience behind it, still demands a conductor. By respecting the new rules of labeling, mastering the technical art of 9:16 prompting, and injecting a rigorous human layer into every piece of content, creators can harness the scale of AI without losing the soul of social media. The future of TikTok is not Human vs. AI; it is Human plus AI.