User-Generated Content at Crossroads as AI Use Grows

Creative expression has for the longest time been thought to be unique and not vulnerable to disruption by advancing technology. We have seen creators flock to different platforms over the last couple of years, with more of them creating, sharing and publishing their user-generated content.

The rise of generative artificial intelligence (AI) threatens to disrupt this flourishing industry and modify the way content is produced. Using artificial intelligence models and simple prompts, any person can produce high-quality audio, images, video and more. With content generated by artificial intelligence becoming more popular, it remains unclear what impact this will have on the creator economy.

Some expect it to result in enhanced creativity, with more content creators adopting artificial intelligence to improve their productivity and performance. A good example of a model that can do this is Copilot, a coding assistant developed by GitHub to help developers create code.

In this context, AI won’t be a threat to individuals in the creative industry but, rather, will support them in doing their jobs better.

Others hold the opinion that the use of AI may, in the future, lead to these models having a monopoly on creativity. In this context, human writers, designers, coders and other skilled professionals are likely to be overshadowed by artificial intelligence models that can work faster in comparison to humans.

From a business angle, getting AI models to replace costly human creators is more profitable. It does lead to the loss of the livelihoods of many, while also negatively affecting creativity. This is mainly because outputs from these models are based on already existing content.

Reproducing similar content based on data these models are trained on does nothing to boost creativity while also infringing upon the rights of others. Examples of how this may go wrong are the current suits filed against Uncharted Labs and Suno, both of which are AI music generators. These algorithms have been trained on millions of videos on YouTube, with most of their output infringing others’ copyrights.

This brings into doubt AI’s ability to come up with original content, while also highlighting how the tech could affect innovation. With originality being a problem for AI, others expect that consumers will attune themselves to original human works and shun synthetic output by AI algorithms. Of the three scenarios discussed, this one seems to be the most likely to occur, seeing as humans will never stop creating and producing original content while algorithms can only copy and reproduce already existing ideas.

Companies that are leading the pack in AI innovation, such as Microsoft Corp. (NASDAQ: MSFT), need to think hard about the direction that user-generated content is going to take in the wake of their inventions, so that any unintended consequences with far-reaching effects can be avoided.

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