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The Impact of AI Video Makers on Instagram Content Creation
1. Introduction to AI Video Makers
AI video makers are applications that leverage machine learning and other technologies to automate the steps of creating video content. They can be of particular value to individuals and organizations whose main content creation platform is social media, such as Instagram. In functionality, these video makers can vary widely in terms of the complexity of the results, tailoring their features to the needs of casual users who want polished content and professional content creators who want to increase viewership and user engagement. Common video maker features include clip creation, video stylization, and smart subtitles. Some use machine learning algorithms to provide more targeted suggestions.
During the past decade, video makers became more focused on the creation of short videos that capitalize on the short attention span of social media platform users. Early AI features included automatically generated slideshows from a set of uploaded images, followed by clip editing and other basic video editing capabilities. Initially, these video makers were aimed at casual users who wanted basic content. As they became more popular, they evolved to address the potential needs of marketing professionals who need to cater to a variety of consumers. Over time, the amount of time and added complexity to be invested in the creation of the videos also increased, but the need to be highly engaging has always been the leading motivation for the introduction of AI features. Stakeholders saw these types of tools as a means to level the field and give everyone the capability to produce professional videos.
1.1. Definition and Functionality
An AI video maker is an online platform or software designed to create video content automatically, based on the user’s input. Some underlying algorithms and principles of machine learning are involved in these tools’ operations, making video creation processes straightforward. The creation of visuals and voice-overs, video editing, and additional feature customization are possible throughout the video-making process. These platforms provide features such as templates, editing via drag-and-drop, customization (color, text, and brand logos), and functionality like templates for demonstration and promotions, including regular or year-round promotions.
These platforms are web-based and provide the user with an interface to work on and export videos. The user interface (UI) is for handling the customization and rendering options, which let you upload and apply your customizations to the template video available. Types of video content produced by AI video makers include how-to guides, tutorial videos for beauty and wellness, recipes, online courses, content to share knowledge with students or professionals, personal greetings or invitations, marketing or promotional videos of services or businesses, and online videos for social networks or video platforms that represent the user’s interests. These platforms are already making waves in the media industry with their commercial advertisements and targeted ads. In terms of usability and design, these are key marketing points of AI video makers; no video creation knowledge or technical experience is required to get started, and it is also easy to understand how to create and use these platforms. Settings apply to professionals. Flexibility is one of the key marketing points of AI video makers. Users are not confined to the pre-made templates; the videos they create are flexible, allowing them to make personal videos as they wish. AI video maker players tend to have a wide reach on various social network platforms with the help of AI video maker engines. What they can create covers many social aspects of media, making it accessible to a broader audience. They should have reached a wider market, making these tools quite well-known. Exploring the features AI video makers offer would be an indicator in the content strategy.
1.2. Evolution and Adoption in Content Creation
The first verticals focusing on applied video creation using neural network technologies were founded in 2014, and commercial interest in the niche application developed shortly thereafter. AI video makers are specialized in combining different types of digital content using different AI/ML models to create a video that is used for marketing purposes, but the fundamental concept of digital editing and post-production was quite expensive to learn and implement by yourself for much of the 2000s. Early software guidelines, manuals, and other documentation suggested that users should alter and augment video files or modify certain settings manually in the hardware the user had to have, to their advantage. Video editing, at the time, was very complex, often involving managing a complex user interface that offered a limited number of features, as well as editing the video using visual information. In 2022, we have seen what was an early indication of development in the field of video editing software. Chart and layout productivity software have both historically varied in price, user market, and feature set.
However, technological innovations have given birth to new generations of productivity software that use AI to create charts and layouts that professional, expert content creators would typically have to create using other software packages. Much like the transition to phone cameras, the proliferation of video editing apps that made it simple to edit video content led to a decline in the market for traditional video editing reach. When a certain demographic or market of users adopted video editing best practices as a part of their business and/or personal plans, the tool then vanished from all mainstream discussions of existing industry practices and best resources to learn. The dynamic of the adoption has reached many age brackets; college and university courses that prepare literature, economics, and theater majors for career options are providing formal coursework in AI technologies. During the pandemic, many businesses pivoted to e-commerce and added DIY marketing packets to drive up regular traffic. These technological and social indicators indicate that AI technologies have merged in such a way that small business owners and individuals can use the tool through established networks and leading companies to create multimedia content for their personal and professional needs.
2. The Influence of AI on Instagram Marketing
AI has made a lot of headway in recent years, and AI video makers are transforming social media marketing. Instagram is one platform that has seen a significant impact from creators using AI video tools. These AI video makers vary in automation features and price points, allowing brands to invest in what best suits their unique marketing operations. The shifts in user engagement, authenticity, and competition have made personalized videos essential in Instagram marketing.
Brands often track content success in engagement metrics such as impressions, reach, and clicks. When a brand’s followers are tagged, the content will show up on the 'Followers' tab of those tagged in the post, significantly boosting engagement with that post. The benefits extend beyond reach to the creation of tailored content within Instagram’s segment: 'Following'. This segregates who on Instagram views the content as it is Instagrammers following your account. The 'Follower' distinction during segmenting is yet to support the research. All these shifts push brands into AI-generated social media content to remain competitive in their respective industries.
The prerequisite has changed for brands seeking a competitive advantage in social media co-creation strategies to enhance brand authenticity and thus relevance. Previously, brands sought human-produced content to tap into influencer credibility. However, a post-pandemic global marketplace pining for efficiency means producing low-cost, high-quality AI motion imagery. The study indicates that small and medium-sized brands have pivoted toward data-driven AI-generated tools and media kits over user-produced authentic, influencer-led posts. However, updating the Engaged Authenticity Model with the Brand Authenticity Plan reveals that 'Relevant Authenticity' is now the priority for brands to retain brand authenticity.
2.1. User Engagement and Reach
Engagement is key. At the end of the day, platforms use different algorithms to make people's content pop or flop based on the engagement they receive, and brands want that same content to have the maximum reach possible. In platform terms, engagement refers to any metrics related to the content created on the account profile, such as likes, shares, comments, and story replies. Also considering shares, reach calculates every person who saw the posts. As brands want to increase awareness so that potential clients will see the brand’s content, reach is the metric that the brands are concerned about more because it shows how many people were exposed to the post. It’s important to acknowledge that Instagram doesn't favor one format over another, but the highest reach comes from Reels.
All of the available formats directly result from actions taken by the people viewing the content, though they’re all available in the creative space of Instagram. In the case of a creator using artificial intelligence to create a brand video, the creator typically uses one of these formats to create a more entertaining, shareable video. As soon as there were enough unrevealed names to create a base of five thousand identities, twenty-five celebrities were created. Followers reportedly enjoy the increasing amount of personalization and are sharing content with friends and family, which is bringing added value for the company. Indeed, social media video created by AI as the main marketing strategy pointed to an increase in app downloads, registered users, and new paintings. Those interested were also more likely to watch AI-generated content over similar, human-made industry content. All in all, the creator was able to share what they had to offer with a broader and more effective audience.
2.2. Brand Authenticity and Image
Scholars have done extensive research about authenticity. In the brand context, authenticity can be simply described as the "real thing," which is itself free from dictates imposed by the market and marketing strategies. In brands, genuine authenticity is often tied to the founder and his or her life story, causality, and indeed, aesthetic. What audiences consume from influencers are attractive and double-upholstered versions of what brands are currently offering. Images of luxury, vulnerability, and influence are, in this sense, commodities. One of the biggest selling points of the stories of both influencers includes the veneer of personalization, even as the influencer-as-brand scale grows. Regardless of the level of personalization, the personal connection comes from the identity of the users, not necessarily the content. This personal interest within audiences blends muddily with the larger brand relationship. It is this custom-made content that can be lost when automated influencers produce videos for any brand at the click of a button. The leadership is typically the brand, promising to nurture the variety rather than giving up the name. One might argue that this automation has made sense in the current era because it must be done to maintain a competitive edge. The delivery of containers is only fierce if they fit in with the style and rhythm that the followers expect. While separating the content from the style, a category is catching and sometimes intersecting and strategizing. Surely, a company can design shoes, apparel, and accessories that will trend this year, but the followers are growing because they have built their brand and they operate in a certain organized way. Something like video content contributes to the quality of the brand, even in its category of content value. The aesthetic visual territory and ideology of a brand must be carefully managed to grow. In the digital age, products and services are not commodities but offer valuable experiences. These products and services are designed not based on functionality and performance but on the personal experiences of the consumers. These experiences are presented as brands by advertising and marketing sections and have much to say about positioning and image management.
3. Benefits and Limitations of AI Video Makers for Instagram
AI video makers are a force in the ever-changing world of content creation. On one hand, tools claim to produce top-quality and professional clips much faster and for a lower budget compared to traditional video production and design firms. These AI-powered video editors deliver speed and efficiency to professionals and everyday users that need to churn out high-quality visual content for their social media, internal communications, or personalized video messages. Their offer is based on a diverse variety of video templates, animations, and effects to help create standout, contemporary visual stories.
However, the abundance of similar filter-altered content and similar editing styles produced by AI video editors may also hurt a business's visibility. Additionally, to a certain extent, AI video editors are only software pre-structured to deliver within a set of specific rules, pre-defined animations, and video editing styles. They may lack originality as their templates are based on worldwide and universal design trends and general themes that could be applied to any business. Moreover, AI copywriting and marketing tools are emotionally handicapped, and AI video making tools are no different. They are unable to tell touching, warm stories that bring out human emotions. They can optimize creativity, making it easier for people to engage with content in a short time frame, but the creative process itself comes down to human hands. For marketers creating content for Instagram, it is necessary, therefore, to look at the features provided by AI video editors through a marketing-focused lens—both what they can do and what they can't do when it comes to hitting marketing KPIs.
3.1. Advantages in Efficiency and Creativity
Our AI era has blessed us with many time-saving media tools that can help content creators on platforms like Instagram. In particular, there are various AI video makers and editors available that help contributors save time on video production. These tools facilitate the efficient creation of engaging video content that resonates with today’s trends and emotions. They save creators time and expand their horizons by automatically creating something they wouldn’t be able to come up with unassisted. Among the primary advantages of tools like this is the immense amount of time they save creators. Most AI video makers create video content automatically by filling in editable video templates with pre-existing stock footage, images, and video clips. An application generally runs on an AI engine and can complete video projects in minutes. All users have to do is customize and edit pre-existing marketing materials like text, colors, music, and transitions, and they’ll have a unique video to add to their Instagram feeds. Some AI video makers even offer a range of video templates and opportunities for experimenting and being creative. For those who might be artistically challenged, creativity might not come naturally or are just having a creative block, apps like these offer helpful suggestions based on weekly trends to help get their creative juices flowing.
Trademarks and popular brands have reported their success from using AI tools to reach a wider audience through Instagram and other digital platforms. They engaged consumers and saw an increase of around 2 million more bulk media views using AI. Big or small, tools like these can really help indie creators and small businesses stay competitive in a saturated market. The potential to reach more people by offering a personalized touch can lead to more followers and sales. Creativity is a wide open door, and it appears that the aid of AI tools does not diminish someone’s original input. The main ideas suggested on Instagram through analysis can be expanded upon as well. It is mentioned that there was an initially low engagement in one of their business ventures; after working with an AI video editing middleman, they were able to capture a larger crowd by following what kind of content exactly was trending. AIs are neutral and are designed with the intention to be as accurately non-biased as possible. This can provide new angles of thinking for creative individuals to tailor their work to.
3.2. Challenges in Originality and Human Touch
When taking into account the challenges of such AI-created material, the main concern is originality. As more creators rely on the same tools, the result may be the homogenization of visual content, and the resulting sameness will neither offer a distinct vantage point nor allow for authenticity through the presentation of personal idiosyncrasies—the centerpiece of fan studies literature. Even though sophisticated, an AI is, at the end of the day, programmed to reproduce and, as such, will automatically generate similar content limited to the same constraints of the established algorithm. With the focus on technical proficiency, AI-generated content lacks traces of personal storytelling, reinforced further through the mass availability of the product, or the suitable emotional resonance given the scarcity of significant moments in AI-generated content, as opposed to human-led material. Content is thus being produced according to strategies and numbers given by comparison tables of social media marketing, and although they may indeed be effective in terms of providing the proper numbers, efficient marketing strategies are not the same as building a fanbase.
The remaining concerns, including a high potential to create intellectual property issues, are generally derived from the same fears of losing the ability to access a level of originality by using AI when millions of other creators are using the same tools. AI work, regardless of its efficiency or professional outcome, does not offer a unique perspective or an idiosyncratic input. The resulting material will always be based on what has been generated by millions before. Taken together, it would be inappropriate to argue that AI-generated content cannot be efficient for an organization, but it is also necessary to acknowledge what this content offers and to consider if this level of originality could be sustained and adopted in creative industries such as the one in focus.
4. Best Practices for Utilizing AI Video Makers on Instagram
When utilizing AI video makers on Instagram, a good starting place is to internalize how customized videos can contribute to your overarching marketing strategy. Many successful AI video content creators have led with storytelling, connecting to real-world events or entertainment content. Make sure that your custom video content strategy is cohesive with other Instagram content best practices, such as being authentic, relevant, and creating highly shareable content. One of the most insightful moves creators can make is to build a solid content strategy grounded in data before you explore AI video creators. For markets that are looking to unlock premium AI features that haven’t been widely used yet, defining their approach and building a clear roadmap is crucial. Identifying your video’s goal, your target audience, and your video’s storyline should all take place well before you begin exploratory content planning. In terms of the rapid evolution of AI video makers, start by trialing things.
Embarking on this journey is a fun opportunity to enrich your content, reach new audiences, and remain adaptive in a market that’s always evolving. An example of a best practice for creating successful videos with AI tools is knowing when to ask for data and respecting it. One of the solutions allows an AI tool to collect data and apply this input into the video creation process. A user can request dynamic content personalization and content insights and make data-driven creative choices. The guest indicates that the more a data personalization tool evokes an emotional response, the more viewers engage and convert. Experimenting is more accessible when companies and consumers adjust to the collaborative abilities of an AI automated video tool. Personal preferences are attributed to the user. Educate and empower a target audience to feel comfortable sharing personal data for the greater good. As AI creates your video, be sure that you have a strong grip on your concepts, storytelling, video format, tone of voice, and visual elements. Ask for feedback and assess analytics through multivariate testing to adjust. While experimenting with this auto-generated content, creators should constantly review how the videos match their brand identity and revise how their custom watch experience engages consumers. Creating a consolidated strategy with an expected path leaves room for automation-related experimentation. Proactive AI planners may begin incorporating these AI tools for Instagram into their content plans. No matter where creators are on this spectrum, make the creative work behind the video your plan’s starting point and bring the automation on brand.
4.1. Content Strategy and Planning
Having a clear and pragmatic approach to establish the scope and direction of your project is paramount. Create a clear brief from the start. Try to answer questions such as: "Who is the target audience?" "What are the content objectives?" To encourage a longer look and ideally engagement, convey powerful and flexible messages coherently, in various posts or articles. A good place to start is content themes - brainstorm important points, strong messaging, and main topics of interest to an audience. Below are three key primary types of content that will work well by emphasizing the look, think, and do audience states. - Segment content to appeal to viewers at various stages of involvement (look, think, do). - Segregate a few simple subject areas that combine powerful, versatile messaging. - Consistency in thematic content helps to bring brands to life particularly well. It is also a good idea to create a content outline to plan the different clips. The outline should include a list of contents, their type, their status, themes, mailing dates, and must-use hashtag keywords. Creating a content schedule can also help maintain a regular production plan. Feedback loops in production and post-production allow some flexibility to check how a campaign is developing on social. Review data, watch for audience reactions, and establish what is and is not working. Schedule time and budget for a content update into the campaign if required.
4.2. Integration with Other Marketing Tools
We encourage you to integrate AI video makers with your other marketing channels and perform a complete content marketing strategy, which can encompass all of your actions to make and publish content for an audience. These other channels may include a social media management app you are already using for blogs, questionnaires, or promotional materials on other networks. Use your app to propose content gaps of interest in your blog visitors. To help monitor and support smoother content marketing activity orchestration, have the tools work together. Production of video content is intended in combination with SEO practices for discoverability of content.
If you are already investing resources in generating video, integrate it into the blog for a more holistic content approach. Bloggers often rely on analytics monitoring for multiple key performance indicators such as traffic and bounce rates, and if also promoting the blog to view their video conversion rates. To further optimize the production of video assets and improve analytics, use information drawn from multiple tools, such as website and video metadata. We outline the importance of synthesizing information from tables and data to update the AI tools and video-directed scripting to enhance content resonance and engagement optimization. Considering the information garnered about the audience in this method and the use of the AI video makers in the production of content, this approach reflects a broad and comprehensive use of an all-encompassing strategy for content creation.
5. Case Studies of Successful AI-Generated Instagram Videos
The following is a collection of five case studies that showcase different brands' unique ways of utilizing an AI Video Maker for Instagram. From launching new collections and positions to maximizing reach and visibility, the following case studies will provide real-world examples of how AI video makers can be utilized for a wide variety of Instagram purposes.
Kanes Dolce is a site to purchase Israeli cosmetics of all kinds, from beard care to makeup. Their agency started using the AI video maker in their consistently branded visuals, showing the process of creating exquisite makeup. Kanes Dolce's AI video featured a flawless presentation and had the pleasing-in-the-feed format that is made for maximum reach. In terms of content, the agency recognized that Kanes Dolce's Perach Night collection helps their jewelry shine and is also suitable for getting ready for an event. Last but not least, the product doesn't speak for itself here because it's a new invention for Kanes Dolce that renews the product, though it already exists as the brand is reaching new customers. The response was fantastic: the on-carousel footage posted organically converted 6.3% of profile visitors, selling out the limited perfume edition. It also convinced five users to follow Kanes Dolce. The AI video as a Stories portrait got twice as many website clicks as the same footage used in the organic newsfeed, leading to a CTR of 6.36%.
FiTZ Amsterdam is a cosmetics brand catering to Gen-Z and young millennials. Their application is me-first '90s internet aesthetics, and AI videos are used to show the people behind the brand. The Instagram strategy's main goal with the AI video footage was for traffic ads to lead to their link in bio, and for carousel snippets to generate high reach and post engagements to increase visibility. Historically, the takeoff from carousel ads to websites is low compared to Stories or campaigns: brands have already primed the customer and convinced them to convert by the time they click through. They did see, however, that traffic ads are cheaper than conversion ones. Furthermore, spending multiple thousands of euros on IG traffic ads gets the video shown to a large audience on the explore page, which likely should produce some organic lift. Branded studies are a minimum of eight article carousels by Instagram. Funded by the brand, featuring an array of user-generated content to help and inspire their community, branded exhibits can also significantly improve reach.
5.1. Analysis of Top-Performing Campaigns
5.1. Analysis of Top-Performing Campaigns: This paper provides an in-depth analysis of the top-performing campaigns. Success in marketing is measured as the viewer's engagement with it, be it through views, retention time, and shares. Importantly, success can also be measured through the amount of marketing revenue it generates. The objectives of the campaigns will be explored through a separate analysis, but the same video can be used and have different effects. Adding a brand name to the video creates a certain viewer expectation regarding the quality and use case of the pen. When launching the campaign in 2016, the results were solely viewed as the campaign's KPIs, which reached approximately 30 million points of contact. This press release focuses on the outcome of the recent version of the videos. In the press release on Spanish media, the objective of the campaign is solely an engagement-driven campaign, with the sole aim to reach as many points of contact as possible to strengthen their brand. The results for the press release on the English media do take the brand's ultimate goal into account; this was to make the video across social media viral and to act as a sales driver. The objective was set to add the cost of the video to a sale made, such as a drink or meal. It led to engagement-driven conversations, achieving significant extra reach with shares, outreach by bloggers, and in traditional media. Product sales online and in-store went beyond our expectations. All in all, the goal was to make the video across social media go viral and therefore act as a sales driver. The objective was to strengthen social search across the region to increase brand awareness. In pursuit of their marketing goals, these brands used social media to find ways to interact with their audience. They used AI video makers for the personalization of the content in their campaign strategies. While widely used, sometimes brands faced difficulties, as it was the intense interactivity that hindered the initial reaction to their posts from their followers. Campaigns, therefore, did not do as well as expected or hoped, with one brand even having to pull their ad. Similarly, individuals were included as both intern and influencer in three of four campaigns. The papers not only provide the background and an overview of the campaigns' personalization and AI but also delve into the creative awareness. Lastly, the papers provide lessons for the managers and influencers of tomorrow, as well as suggested improvements for the video generation platforms. It is through this section that the paper makes its unique contribution.
6. Ethical Considerations in AI-Generated Content on Social Media
Content marketing is a large part of Instagram marketing, and companies regularly use both photographs and videos to appeal to their audiences. AI-generated deepfake content has many risks associated with it, including the increase of misinformation. When using deepfake content in marketing, there are also concerns about how to keep privacy intact. There will be a need to collect data in order to make the content more authentic, which carries its own ethical questions. During the creation of the AI, tons of real people's faces were used as data points to create a databank. The use of this data is subject only to the same privacy policies as any other data with Instagram. Some of the biggest decisions social media companies have to make are how to handle deepfake media: whether to ban it, keep it, or have some version of it living on the platforms. There is a way to use the technology for ethical marketing.
There is a bright future for using the new video-making AI on social media, including Instagram, for advertising. Despite the downsides, artificial marketing ethics will cause marketers a competitive disadvantage if ethical practices are not implemented. It is important for media and marketing to be honest and forthright and live up to their promises. Marketers need to be transparent in order to create successful, trustworthy relationships between consumers and brands. Brand trust is more important than ever with all of the misinformation thrown at us daily. It is important that brands do not use the AI brand generator consistently in order to increase added realism to all video elements. In large part, this AI video content generator is simply a more advanced stock photo system designed to make marketing materials pop in the endless void of other marketing content, which can seem very powerful for brands trying to make their mark. Ethical marketers should use the AI sparingly and infrequently. Ethical marketers will make these decisions carefully and based on societal expectations of use in order to avoid a major dip in society. Nowadays, such tech companies, especially the major ones, are trying to tap into bigger phenomena. These companies are trying to leverage AI to meet societal expectations. Taking a balanced approach is one of the reasons a company can ethically leverage that branding component. They train the AI to be ethical by maintaining incomplete data sets. It also helps if the AI's creators are transparent about their methods, even a little, just to cut down on misinformation.
6.1. Privacy and Data Security Concerns
In order to function effectively, many AI-driven solutions require a lot of information about user behavior, their lifestyle, interests, socio-economic status, etc. This could, in fact, be taken as a reason to believe that the use of AI will necessarily lead to more privacy-invasive data gathering and processing. Although AI-powered generators do not need the same kind of user information to work as personal virtual assistants or algorithmic recommendations, they need some user-specific data in order to generate any target-related content. While creating appealing video content, an AI would require a detailed analysis of the target’s preferences and the available footage to be shown in the content. In this process, AI tools may carry out junk data analysis in order to validate some hypotheses about each single target person or their preferences. However, privacy could be undermined when using AI-generated solutions since limiting the user’s freedom of choice goes against the right to self-determination, which regulations provide in the form of consent of the user when their personal data are processed. Data protection and security of identifiable personal information about private individuals is a significant collective value. Personal data, which allow for ready identification and represent private information of a citizen, are of great importance in that they enable the individual to exercise their rights and to participate in decision-making processes affecting them and, ultimately, to protect their overall well-being as a member of a given society. The high level of protection afforded to personal information stems from the vital necessity of fundamental rights and freedoms in modern democratic societies. The principal conviction underlying information privacy regimes is that individuals have rights and corresponding remedies to define their relationship to informational technologies, data collection policies and practices, and decision-making procedures in a digital society. Data privacy would improve ad conversion per marketing costs. However, improving the personalization versus privacy versus trust trade-off can reduce operational risks. In short, as real-time personalization practices override privacy through personally identifying consumers, their stamped preferences can be offered without further checking authenticity. Misjudgment and malfunction of operations often snap, and failures can be very costly. Thus, while the use of historical data rather than real-time exemptions in commercial use does mean bad for stakeholders and investors, it means the much-pursued personalization mark does not use the unnecessary level of detail required to accomplish the customization/differentiation of the content concerning other pick-and-choose variables, without jeopardizing trust and managerial accounting information and revealing all similarly structured personal information privacy concerns. The latter, we argue, is bound to prevail over time, and more firms are likely to opt for it.
7. Future Trends and Innovations in AI Video Makers for Instagram
A number of different technologies are on the horizon that will continue to enhance video production. The first that came to mind was computer vision, particularly in how it intersects with augmented and virtual reality. Particularly in the VR space, where it is generally difficult to create engaging video content because the experience is so personalized, real video has the potential to be a technological breakthrough. Real video can be created from static camera feeds or through the use of simple cameras in VR headsets. Machine learning advances will also allow us to create video with a more intense level of personalization. New algorithms are coming that can do highly detailed voice imitation or create a video from elements that did not previously connect. These types of machine learning-generated videos will likely increase user retention and viewer engagement metrics. New technological advances will also change the video marketing focus towards collaborations with users and away from giant influencer partnerships.
As far as predictions, I think the better question is how soon rather than "if." Video will start playing a more immersive and storytelling role in social media as VR, AR, and machine learning video creation continue to advance. If machines are revolutionizing the video creation process, what does this mean for the average person wanting to turn their family photos or fun event content into videos? There are already a plethora of smartphone apps that offer auto-editing features, and we think this is also the direction AI video will progress. Especially with the recent drive toward user-generated content in video marketing and social media. Marketers and other professionals using video will have to constantly update best practices for engaging storytelling and memorable content to keep up with the times.
7.1. Emerging Technologies and Applications
Technology has been advancing to help users create, edit, and publish their creative and unexpected plans in various ways. Nowadays, many video editing applications are available and have been provided to utilize freely, with most of them offering quick and real-time content creation, including live video editing. Not only that, some applications also include captioning and subtitle features that can be automated video creation budget-friendly for business and processed based on what the speaker is saying. Massive developments in IoT, Big Data, and AI have addressed some underlying issues in the concept of CO and the inevitable decision-making involved in the process of creating and providing better content on Instagram. Big Data Analytics allows this data to be analyzed and provides insights as well as recommendations for the direction and strategy used in application content as the value-added product of the results.
The technology development mentioned above is indicated by the emergence of applications that allow users to create unexpected and variable videos with the support of cutting, editing, subtitling, and some special effects. Since the application can be controlled remotely by the users, another physical limitation-based experience has been bypassed, and users no longer have to stay still and can be part of the creative process by appreciating the video content. Considering the power of IoT-based applications, allowing users to take control of the video content produced will facilitate their experience with next-generation applications in new and surprising ways. The future technology development expected in IG includes the application of IoT devices and the big collaborations between IoT and AI, as well as advanced technology, which will enable users to interact with the content provided. The IoT technology will provide a massive amount of information and data, as data from IoT applications are always connected with each other, and the data will be directly synchronized and accessible to determine the right type of content and recommendations on Instagram. 5G technology is also expected to prioritize massive content creation and fast uploads for the next user experience. The fast upload technology is required in the case of multiple photos being uploaded and the process to synchronize the captions so the content will be good to display on the Instagram application. The technology development of Instagram is moving in the direction of strong collaboration between 5G, advanced technology, and AI for daily use. Big Data Analytics allows this data to be analyzed and provides insights as well as recommendations for the direction and strategy used in the application of the content and products provided by the system.
In summary, the technology feature development stated above has given an indication of the reshaping of future content creation progress; most of these are already apparent in video editing and user experience evolution on Instagram. Content creators with limited additional knowledge and experience in software editing could face issues that restrain the video editing process.
It is expected that in the future, the capabilities of the video maker's features and technology will progress to fit the increasing number of users who want to participate in Instagram and to match their experience in producing high-quality video content. Overall, these technologies will reshape the moving image field, such as the making of videos as a direct result, and can also promote and collaborate to create a user experience in digital creativity and improvisation by establishing unique and personalized content accordingly.