Explore the transformative impact of AI on live streaming.
AI anchors, propelled by the wave of digitalization, have slowly come into their own and, thanks to their special advantages, have revolutionised the live broadcast industry. The primary rationale for this is to save expenses and boost productivity, giving brand merchants hitherto unheard-of commercial potential.
AI anchors are making it possible to provide live broadcast services that run continuously around the clock without the need for elaborate live broadcast facilities or human actors. With the help of this technical advancement, AI anchors can now react to queries from viewers instantly and have “one-to-one replica” interactions with actual humans. The financial benefit of AI anchors over conventional anchors is clear. A live broadcast room needs at least three or four anchors, and an average anchor makes at least 120,000 yuan a year. Props, lighting, and other expenses might drive up the monthly cost to 70,000–80,000 yuan. The annual cost of digital human live broadcasts is just 50,000 yuan, and as technology advances, the cost will continue to decrease.
Even Nevertheless, there are still only a few application cases for AI anchors, despite their superior effectiveness in cutting costs and boosting productivity. The introduction of standardised commodities, such as department stores, fast-moving consumer goods, and local life group purchases, is currently the primary emphasis of AI anchoring. AI anchors can fully utilise their great efficiency and stability in these regions to offer customers a convenient shopping experience. However, there is still a slim chance that AI anchors may replace actual people in the live broadcasting industry when it comes to topics like beauty and attire, which have significant emotional connections.
This is due to the fact that emotional communication is the fundamental component of live broadcasting, which is grounded in human nature. By interacting with the audience, the anchor builds an emotional field and a connection on an emotional level. AI anchors find it challenging to replace this emotional bond. Even though artificial intelligence (AI) technology can recognise and assess users’ emotional states through sentiment analysis, natural language processing, and other techniques, it still lacks the intuitive and quick emotional response between people, empathy, and other sophisticated emotional utilisation capabilities.
The audience’s acceptance of AI anchors is another issue that must be taken into account. While some viewers have been interested in some intriguing kinds of AI communication, the majority of viewers still prefer to engage in emotional conversations with actual anchors. The emotions evoked in the live broadcast room will undoubtedly be substantially diminished when the viewer realises they are watching a machine.
This does not negate the potential for advancement of AI anchors, though. As technology develops further, artificial intelligence (AI) anchors will resemble actual humans more and more in terms of look, voice, behaviour, etc., which will increase the range of applications for them in the live broadcasting industry. Simultaneously, AI anchors can complement human anchors and provide their distinct benefits in certain situations. For example, AI anchors can suit consumers’ purchasing needs by providing continuous live broadcast services throughout times like the night or holidays, which are hard for real anchors to cover.
In conclusion, AI anchors have a lot of room to grow as the newest preferred method of cutting expenses and boosting productivity in the live broadcasting industry. However, AI anchors still have a lot of difficulties when it comes to emotional communication. Future relationships between AI anchors and real anchors will be more harmonic and symbiotic, jointly encouraging the prosperity and expansion of the live broadcast industry, as a result of ongoing technological advancements and changes in consumer cognition.
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