Marketers are constantly seeking new ways to engage their audience and stand out. 

One emerging tool is AI-generated video content. 75.7% of marketers now utilize AI tools in their workflows.

While this technology has potential, it has also sparked a range of reservations and objections from businesses and consumers.

As AI advances, the quality and realism of AI-generated video has improved dramatically. However, several common concerns remain, including worries about authenticity, ethical considerations, and limitations in capturing human emotion and expression.

This article will explore best practices for addressing these objections and equipping marketers with strategies to effectively utilize AI-generated video content in their marketing efforts. 

By understanding the root causes of these concerns and implementing proven techniques to overcome them, brands can take advantage of the transformative potential of this technology while building trust and engagement with their target audience.

Understanding the Objections: 3 Common Objections

Despite the rapid advancements in AI-generated video technology, there are several key objections that marketers and consumers have raised that must be addressed.

Chief among these are concerns over the authenticity and trustworthiness of AI-generated content, ethical considerations surrounding the deployment of this powerful technology, and limitations in the ability of current systems to capture the full depth and complexity of human expression.

Objection #1: Authenticity Concerns

One primary objection is the perception that AI-generated content lacks the 'human touch' and emotional resonance of human-created content. 

Consumers value authenticity and may see this type of computer-generated footage as inauthentic or misleading.

To address these authenticity concerns, it is critical for brands to approach the use of AI-generated video content with a high degree of transparency. 

This means clearly disclosing when AI technology has been employed in the creation of video assets, explaining the benefits and capabilities of this innovative approach, and fostering a sense of trust and openness with the audience.

By being upfront about the use of AI, brands can help alleviate fears and demonstrate that they are committed to ethical and responsible deployment of this powerful technology.

YouTube has outlined their policy on AI generated video here, where AI-generated content will require clear disclosure, especially when discussing sensitive topics like elections or public health.


Creators must label synthetic content, and non-compliance may result in penalties. YouTube will also allow requests to remove AI-generated content that mimics identifiable individuals or artists' unique voices, with specific criteria for removal decisions.

The integration of generative AI aims to foster new creative possibilities while maintaining the safety and integrity of the YouTube community.

Objection #2: Ethical Considerations

Another major objection revolves around the potential for misuse or abuse of the underlying AI technology. 

There are concerns about data privacy, algorithmic bias, and the broader ethical implications of using AI to create content that can impact attitudes and behaviors.

Brands must take these ethical considerations seriously and develop robust frameworks for the responsible development and deployment of AI-powered video content.

This includes investing in AI systems that prioritize privacy, security, and fairness and collaborating with experts to address potential biases and risks. 

Brands should also empower consumers with clear information about data usage policies and give them control over their personal data and preferences. 

By embracing a culture of continuous improvement and staying up-to-date with evolving ethical standards, brands can navigate these complex ethical challenges and build trust with their audience.

Objection #3: Technical Limitations

Some objections stem from concerns about the quality and realism of AI-generated output and limitations in capturing the full depth and nuance of human emotion and expression. While advancements have improved the fidelity of AI-generated video, there is still work to be done to truly replicate the richness of human-created content.

Here are some early AI-generated images that show the challenges of creating images with AI, but also how quickly the technology has developed. 


Addressing these technical limitations will require ongoing investment and innovation in AI research and development. 

As the underlying technology continues to evolve and improve, brands can expect to see ever-more-realistic and compelling AI-generated video content that can effectively engage and captivate their target audiences. 

By staying at the forefront of these technological advancements, brands can position themselves as leaders in the utilization of this transformative medium.

Addressing Authenticity Concerns

As marketers, we understand the importance of building trust and authenticity with our audiences. 

When it comes to the use of AI-generated video content, this challenge is particularly critical. 

Addressing the concerns around authenticity requires a multifaceted approach that combines transparency, the strategic incorporation of human elements, and a steadfast commitment to brand consistency.

Embracing Transparency

The foundation for addressing authenticity concerns is embracing transparency. Brands must clearly disclose the use of AI technology in their video content, leaving no room for ambiguity or deception. 

This openness helps build trust and demonstrates the brand's commitment to ethical and responsible deployment of the technology.

In addition to disclosing the use of AI, brands should also take the time to explain the benefits and capabilities of this innovative approach. 

By highlighting how AI-generated video can enhance the viewer experience, improve production efficiency, and unlock new creative possibilities, brands can help to shift the narrative away from fears of inauthenticity and towards an appreciation for the transformative power of this technology.

Ultimately, fostering a sense of trust and transparency with the audience is crucial.

Brands must be proactive in addressing concerns, answering questions, and demonstrating the thoughtfulness and care with which they are integrating AI-generated video content into their marketing strategies.

Enhancing the "Human Touch"

While the technical capabilities of AI-generated video content continue to improve, there is still a perception that it lacks the genuine "human touch" that audiences crave. To combat the perception that AI-generated content lacks the 'human touch,' brands should strategically incorporate live-action elements or human narration. 

This blend of artificial and authentic can create a more well-rounded and emotionally resonant viewing experience.

Brands should also focus on personalizing their AI-generated content through unique storytelling and visual styles.

By infusing the content with a distinct personality and creative flair, brands can imbue it with a sense of authenticity and human connection.

Ultimately, the goal should be to emphasize the human context and emotional connection that underpins the video content, regardless of whether it was generated by a human or an AI system.

Maintaining Brand Consistency

As brands explore the use of AI-generated video content, it is crucial that they maintain a steadfast commitment to brand consistency. 

The AI-powered assets must seamlessly align with the brand's established visual identity, tone, and messaging in order to preserve the overall authenticity and trustworthiness of the brand.

To achieve this, brands should develop clear guidelines and best practices for the creation and deployment of AI-generated video content. 

These guidelines should cover everything from color palettes and typography to motion graphics and overall stylistic elements. By ensuring a high degree of consistency, brands can instill confidence in their audiences and reinforce the authenticity of their AI-powered marketing efforts.

Fun Tip:

To detect AI-generated videos, observe the phenomena closely, including background actions. 

Look for inconsistencies with the laws of physics, such as objects behaving unnaturally. Trust your instincts; if something feels off or uncomfortable, it might indicate the video is AI-generated. 

This discomfort is often due to the uncanny valley effect, where human-like simulations appear slightly unnatural.

Here’s an example from OpenAI’s Sora to see this: 

Navigating Ethical Considerations

As the use of AI-generated video content continues to grow in the marketing industry, it is crucial that brands approach this technology with a strong ethical framework. 

Navigating the complex ethical considerations surrounding AI requires a multi-faceted approach that prioritizes responsible development, empowers informed consent, and embraces a culture of continuous improvement.

Prioritizing Responsible AI Development

At the heart of addressing the ethical concerns around AI-generated video content is the need to establish clear guidelines and oversight for the usage of this technology. 

Brands must invest in AI systems that prioritize privacy, security, and fairness, ensuring the personal data and preferences of their audience are respected and protected. 

Collaborating with experts can help identify and mitigate potential risks. 

By bringing together cross-functional teams to establish robust ethical frameworks, brands can demonstrate their commitment to the responsible deployment of this powerful technology and build trust with their customers.

Empowering Informed Consent

Another critical component of navigating the ethical considerations surrounding AI-generated video content is empowering consumers with clear information and control over their personal data and preferences. 

Brands should provide transparent and accessible information about their data usage policies, allowing viewers to make informed decisions about how their information is being used. 

Offering users the ability to manage their personal data and customize preferences can foster a deeper sense of trust and ethical integrity.

Embracing Continuous Improvement

As ethical AI development continues to evolve, it is essential that brands adopt a mindset of continuous improvement. 

Staying up-to-date with the latest best practices, industry standards, and regulatory changes is crucial to ensuring that the brand's approach to AI-generated video content remains aligned with the highest ethical principles.

This commitment to ongoing learning and refinement should be reflected in regular reviews and updates to the brand's AI-generated video processes. 

By fostering a culture of continuous improvement, brands can demonstrate their willingness to adapt and respond to the ever-changing ethical considerations surrounding this transformative technology.

Ultimately, by prioritizing responsible AI development, empowering informed consent, and embracing a culture of continuous improvement, brands can navigate the complex ethical field and use the power of AI-generated video content in a way that builds trust, enhances customer relationships, and drives sustainable long-term success.

Industry-Specific Applications of AI-Generated Video Content

AI-generated video content is impacting marketing across various industries, offering unique solutions to sector-specific challenges. 

Here are some examples of how different industries are leveraging this technology:

  1. E-commerce:
    • Product demonstrations: AI can create personalized product videos showcasing items in different contexts or colors.
    • Virtual try-ons: AI-generated videos allow customers to see how clothing or makeup would look on them.
    • Dynamic pricing announcements: Automated videos can update customers on sales and promotions in real-time.
  2. Education:
    • Customized learning materials: AI can generate explanatory videos tailored to individual student needs and learning styles.
    • Language learning: AI-powered videos can create immersive scenarios for language practice with different accents and contexts.
    • Interactive tutorials: AI can produce step-by-step video guides that adapt based on student responses.
  3. Entertainment:
    • Personalized trailers: AI can create movie or game trailers that highlight scenes most likely to appeal to individual viewers.
    • Character creation: AI-generated characters can be used in animated content, saving time and resources.
    • Live event recaps: AI can quickly generate highlight reels from live events, customized for different audience segments.
  4. Real Estate:
    • Virtual property tours: AI can create walkthrough videos of properties, even for buildings still in the planning stage.
    • Neighborhood overviews: AI-generated videos can showcase local amenities and lifestyle features of different areas.
  5. Healthcare:
    • Patient education: AI can produce informative videos explaining medical procedures or conditions, tailored to patient demographics.
    • Treatment visualizations: AI-generated content can help patients understand proposed treatments or surgical procedures.

By leveraging AI-generated video content, these industries are enhancing customer experiences, improving engagement, and streamlining their marketing processes.

As the technology continues to evolve, we can expect even more innovative applications across various sectors.

Integration with Other Marketing Tools: Maximizing Impact of AI-Generated Video Content

AI-generated video content can be seamlessly integrated with social media marketing strategies, allowing marketers to create personalized video ads for different platforms and audience segments, while also leveraging social listening tools to rapidly generate content based on trending topics and conversations.

These AI-generated videos can significantly boost engagement by embedding eye-catching video thumbnails in emails to increase open rates, and by creating personalized video messages tailored to different subscriber segments, thereby enhancing the overall effectiveness of email campaigns.

Here are some specific use cases that can benefit from AI-generated videos: 

Content Management Systems (CMS) can be enhanced through integration with AI video generation, enabling the automatic creation of video summaries for blog posts or articles, thus providing a more diverse and engaging content mix for website visitors.

Customer Relationship Management (CRM) systems can inform AI video creation by utilizing customer data to tailor content to individual preferences and lifecycle stages, while also enabling the generation of personalized video follow-ups based on specific customer interactions, thereby strengthening customer relationships and improving retention rates.

Search Engine Optimization (SEO) efforts can be bolstered by using AI to generate video content around trending keywords, as well as automatically creating video sitemaps and optimizing video metadata, thus improving overall search visibility and ranking potential.

Programmatic advertising can be revolutionized by integrating AI-generated videos, allowing for the creation of dynamic, personalized video ads that can be served to the right audience at the right time, maximizing ad relevance and effectiveness.

Marketing automation systems can be enhanced by triggering AI-generated videos based on user behavior or specific touchpoints in the customer journey, creating a more responsive and personalized marketing experience that adapts to individual customer needs and preferences.

Analytics and data visualization can be made more accessible and engaging through the use of AI to create dynamic video reports of marketing performance metrics, as well as generate explanatory videos of complex data insights for stakeholders, thereby improving data comprehension and decision-making processes.

Chatbots and conversational AI can be elevated by integrating video responses into interactions, providing a more engaging and informative customer service experience that combines the efficiency of AI with the visual appeal of video content.

Augmented Reality (AR) and Virtual Reality (VR) experiences can be enriched by using AI to generate video content, creating immersive marketing campaigns that captivate audiences and provide unique, memorable brand interactions.

Personalization engines can be supercharged by combining AI video generation capabilities with advanced targeting algorithms, creating hyper-targeted video experiences across all customer touchpoints and delivering truly individualized content at scale.

Embracing the Future of AI-Generated Video Content

As we reach the end of our exploration of addressing common objections to AI-generated video content, it is clear that this transformative technology holds immense potential for marketers and brands willing to navigate the challenges with care and foresight. 

At the heart of our discussion lies the critical need for transparency, authenticity, and responsible development. 

By embracing a proactive approach to disclosure, incorporating human elements to enhance the "human touch," and maintaining strict brand consistency, brands can build trust and alleviate concerns about the authenticity of their AI-powered video assets.

Similarly, by prioritizing ethical guidelines, empowering informed consent, and fostering a culture of continuous improvement, brands can navigate the complex ethical field and position themselves as leaders in the ethical deployment of this groundbreaking technology.

While the road ahead may seem daunting, the potential rewards of effectively utilizing AI-generated video content are vast. 

This innovative approach can unlock new creative possibilities, drive greater engagement and conversion rates, and ultimately strengthen the connection between brands and their audiences.

The AI video production market is projected to experience a compound annual growth rate (CAGR) of 22% by 2028. By staying at the forefront of these technological advancements and adopting a responsible, customer-centric mindset, brands can use the transformative power of AI-generated video content to captivate their target markets and achieve unprecedented success.

The future of marketing is undoubtedly intertwined with the evolution of AI-powered video technology. 

We encourage you to explore the opportunities presented by this cutting-edge tool and to continue innovating in this rapidly evolving field. 

Sign up for a free trial of Pipio today and start unlocking the full potential of AI-generated video content for your brand.

Turn text to video,
in minutes