YouTube creators face backlash after promoting Higgsfield’s AI video tools

Prominent YouTube filmmakers Matti Haapoja and Sam “Kold” Kolder are facing backlash after posting what many viewers saw as promotional videos for AI video platform Higgsfield, underscoring how quickly creator audiences can turn when generative AI endorsements look like hidden ads.

The controversy erupted after both creators published polished demonstrations of Higgsfield’s newly added Seedance 2.5 capabilities, prompting accusations that they were helping the company market AI-generated video tools without clearly labeling the content as sponsored.

What happened, and why did it spread so fast?

The immediate spark was a pair of high-production videos from two well-known filmmaking creators, each framed as a showcase of what Higgsfield can do. But within hours, the tone around the posts shifted from curiosity to suspicion as other creators began circulating screenshots that appeared to show partnership outreach from PR firms working on Higgsfield’s behalf.

That combination — flashy creator demos, possible undisclosed compensation, and already fragile public sentiment around generative AI — created a fast-moving backlash. To many viewers, the videos did not read as neutral tutorials or independent experiments. They looked like marketing.

Neither creator publicly clarified whether the posts were paid partnerships, and the company did not respond to questions about the nature of the collaborations. That silence helped fuel the assumption that the videos were part of a broader attempt by Higgsfield to borrow trust from popular creators in order to soften resistance to AI-generated video.

Who are Matti Haapoja and Sam “Kold” Kolder?

Both creators built their reputations around filmmaking, editing, and visually ambitious storytelling, which is precisely why the response has been so sharp. Their audiences tend to see them not just as entertainers, but as working creatives whose judgment carries weight in the broader video production community.

Haapoja has long been known for creator-focused filmmaking content and production breakdowns. Kolder, meanwhile, has built a following around travel, cinematography, and cinematic editing. For viewers who admire them as human storytellers, a close association with AI-generated imagery can feel less like a product demo and more like a betrayal of the values that made them popular in the first place.

Why their audience reaction matters

The anger is not just about one ad campaign. It reflects a deeper tension in the creator economy, where trust is often the core product. When a creator’s brand is built on craftsmanship, authenticity, and artistic taste, a paid AI endorsement can seem like an attack on the very identity that made the audience care.

What did the videos show?

Both videos positioned Higgsfield and Seedance 2.5 as tools that could reshape video production, especially in entertainment and social-first filmmaking. But they did so in very different styles.

Haapoja’s video was structured like a glossy explainer and at times resembled an infomercial. It walked viewers through the making of Cully Hill Boys, a feature-length AI project from Higgsfield that used likenesses of YouTubers Mikyle “N3on” Rafiq and Matt Kiatipis. The video also showed Haapoja placing a version of himself into a series of science-fiction scenes using AI-generated manipulation.

Kolder’s post took a more cinematic route. Titled AI is replacing me, it begins with his real-world background in video production before turning into a fictional narrative in which he travels through Mauritania alongside a robot, in a sequence that recalls science-fiction films such as Chappie. The result mixes actual footage, synthetic imagery, and heavily stylized transitions.

In both cases, the line between content and advertisement blurred. The videos were visually impressive, but many viewers felt they were also carefully constructed sales pitches for generative AI technology.

How did fans and other creators respond?

The backlash was loudest on Threads and in YouTube comments, where creators and viewers argued over whether the posts were genuine creative experiments or paid endorsements in all but name.

Haapoja drew especially heavy criticism. One of the most visible complaints came from creator Marques Brownlee, who challenged Haapoja’s comparison of generative AI to the Canon EOS 5D Mark II, a DSLR that helped make high-quality 1080p video more accessible to independent filmmakers. Brownlee’s objection was not just about the comparison itself, but about the moral difference between a physical camera and a model trained on vast amounts of human-made work.

Marques Brownlee argued that unlike a camera such as the EOS 5D Mark II, generative AI systems are trained on existing human-created material without direct credit or permission from the people whose work helped build them.

Kolder’s reception was more divided. His YouTube comments included praise for the editing and visuals, but they also featured comments accusing AI tools of displacing creative talent. The split response suggests that some viewers are willing to accept AI-assisted storytelling as long as it is framed as art. Others, however, see any celebration of the technology as a line they do not want their favorite creators to cross.

Why did Haapoja get hit harder?

Haapoja’s video triggered more immediate anger because it felt more explicitly like a product pitch. The structure, tone, and framing were closer to a marketing presentation than an artistic short, leaving less room for viewers to interpret it as neutral experimentation.

By contrast, Kolder’s video was more ambiguous. It was still promotional in effect, but its fictional narrative and stylized approach gave some viewers a reason to focus on the craft rather than the commercial message.

Was this really an ad campaign?

All signs point to a coordinated promotional push, even if the posts were not clearly labeled as advertisements. Screenshots shared by other creators appeared to show outreach from PR firms representing Higgsfield, and the timing of the videos aligned with the company’s efforts to highlight its Seedance 2.5 feature.

Haapoja’s and Kolder’s posts also carried the hallmarks of influencer marketing: polished production, enthusiastic product framing, and in Kolder’s case, what looked like an affiliate link offering a 30 percent discount on an annual subscription.

That matters because disclosure is the line many viewers expect creators to respect. When a video resembles a commercial but is presented as regular content, audiences may feel manipulated even if no formal rule is broken.

Why are AI endorsements especially risky for creators?

AI endorsements are riskier than typical brand deals because generative AI has become a cultural flashpoint. For many artists, editors, animators, writers, and filmmakers, the technology is not just another tool. It is a direct challenge to labor, originality, and compensation in creative work.

That means creators who normally benefit from audience trust are taking on extra exposure when they align themselves with AI companies. Their followers are not just judging the product. They are judging the creator’s values.

How trust gets damaged

Once followers believe a creator is willing to promote a controversial technology for money, the relationship changes. Viewers may start questioning future recommendations, creative opinions, and even the authenticity of past work.

For filmmakers and visual storytellers, the stakes are even higher. Their audiences often admire them for their eye, their taste, and their human-made craft. If they appear to endorse machine-generated alternatives to that craft, they can end up weakening the very identity that made them influential.

• Audience trust can erode quickly when sponsored content is not clearly disclosed.
• AI products already face skepticism over authorship, labor, and originality.
• Creator reputations are especially vulnerable when their brand is built on human creativity.
• Brands may gain short-term visibility, but the creator can absorb the reputational hit.

How does this compare with earlier OpenAI backlash?

The Higgsfield episode echoes a similar backlash that hit OpenAI earlier in the month, when the company invited influencers to a luxury retreat in New York and filled social feeds with posts about branded swag and a polished “Summer Club” experience.

Those creators did not publish long promotional videos, but the optics were enough to frustrate many followers. The lesson, in both cases, is that AI companies can use creator partnerships to project cultural legitimacy, but that strategy can backfire if audiences believe the creators have been enlisted to normalize a technology they do not trust.

The OpenAI example showed the softer version of this dynamic: elite access, branded hospitality, and influencer posts that felt more like lifestyle marketing than serious reporting. Higgsfield’s case went further because the content itself directly showcased the product and appeared to be designed to persuade.

Why do AI companies keep leaning on creators?

AI companies need human messengers because most people still do not relate to models, benchmarks, or software updates on their own. They relate to creators they already watch, especially creators who can translate technical products into emotional or visual stories.

That makes the creator economy an ideal distribution channel for AI firms. A recognizable filmmaker can make a new tool feel less abstract, less threatening, and more inevitable.

But that same strategy creates a paradox. The more a creator is trusted, the more painful it becomes when followers think that trust has been monetized to sell a product they dislike. In AI, the messenger often becomes the story.

What is Higgsfield trying to sell?

Higgsfield is presenting itself as a platform for AI-driven video creation, with Seedance 2.5 positioned as a major new capability. The company’s pitch is that creators can generate ambitious visual sequences faster, cheaper, and with fewer technical barriers than traditional production methods require.

That promise fits neatly into a larger industry narrative: AI will make cinematic content more accessible. Supporters argue that tools like these can democratize filmmaking by letting smaller teams produce striking visuals without large budgets or crews.

Critics counter that the industry tradeoff is not just about speed or affordability. It is about whether the new workflow depends on labor that was not properly credited, and whether viewers are being sold a future in which human performance and human authorship are quietly devalued.

What makes Seedance 2.5 controversial

The controversy is less about the software update itself than about what it symbolizes. A tool that can place real people into synthetic environments, generate convincing sequences, and automate large parts of the creative process sits directly at the center of the debate over what counts as filmmaking.

For fans, that may raise fears about synthetic slop and the flattening of artistic style. For companies, it is a chance to market a bold new workflow. For creators, it becomes a test of whether their audiences will accept them helping sell that future.

How much damage has been done?

It is too early to know whether the backlash will meaningfully affect Higgsfield’s growth, but the reputational cost to the creators may already be real. Public reaction suggests that some viewers now see Haapoja and Kolder less as independent artists and more as participants in an AI marketing push.

That does not necessarily mean their audiences will permanently abandon them. Creator-fan relationships are often resilient, especially when the audience believes the creator’s core work still speaks for itself. But the episode does highlight a new kind of reputational risk in digital media: being perceived as a spokesperson for AI, even when no one explicitly calls you one.

For Higgsfield, the outcome may be more complicated. Negative attention can still produce awareness, and awareness can help a startup. Yet the kind of attention the company is getting now is the sort that can harden resistance rather than soften it.

What this says about the creator economy and AI

The broader lesson is that creator marketing is not neutral. It depends on trust, and trust is shaped by values as much as by reach. When a creator’s audience believes the creator and the audience share an ethical worldview, commercial deals can feel acceptable. When that worldview appears to shift, backlash follows fast.

AI companies are discovering that this tension is especially intense with creators whose public image is tied to artistry. The more a creator is associated with human skill, the more suspicious their audience may become when they promote machine-generated alternatives.

That does not make AI endorsements impossible. It just makes them far more delicate. Clear disclosure, honest framing, and a willingness to acknowledge the technology’s controversies may matter just as much as the product demo itself.

Timeline of the backlash

The reaction unfolded quickly over just a few days, from polished launch-style content to public criticism and debate.

What happens next?

The next phase will likely depend on whether Higgsfield, Haapoja, or Kolder chooses to address the criticism publicly. A straightforward explanation about sponsorship, if one exists, could calm some of the anger. Silence, on the other hand, may allow the perception of stealth advertising to linger.

More broadly, this episode is a warning to any creator considering an AI brand deal. The paydays may be tempting, but the audience costs can be immediate and highly visible. In a crowded creator economy, trust is hard to build and easy to lose.

For now, the Higgsfield controversy stands as another sign that the public debate over generative AI is no longer confined to policy, research, or product launches. It is now showing up in the comments sections, timelines, and reputational calculus of the creators people watch every day.