Insight

As AI tools begin to enter businesses' daily operations in large numbers, many teams are thinking about the same thing: how to generate more content through AI?
From social media posts, EDMs, and press releases, to customer service replies and business presentations, AI is indeed changing the way businesses work.
However, in the process of communicating with businesses, we discovered an interesting phenomenon.
The first problem many companies encounter after implementing AI is often not that the AI cannot produce content, but rather—the content produced by the AI does not match the brand's tone.

In the past, consumers had to spend a lot of time gathering information before making decisions: searching for brand information, checking product reviews, comparing different options, and even seeking recommendations from friends to reduce the risk of purchase decisions.

Currently, people can access a vast amount of information and advice within minutes, from search engines and social media platforms to generative AI tools. On the surface, information appears to be more transparent. However, consumers are also facing new dilemmas. When every company can quickly build a professional image, share industry insights, and produce a large volume of content, the market becomes saturated with voices, making it increasingly difficult to discern and make judgments.

More and more companies are starting to use AI tools to handle brand and marketing content – feeding product data, brand strategies, and customer FAQs into AI to help generate copy, respond to inquiries, and create presentations. The efficiency has clearly improved, but have you ever wondered where the data you uploaded goes?

In the past year or two, AI tools have infiltrated the daily work of almost every marketing team. Social media posts, EDM campaigns, product copy, and business presentations can all be generated rapidly. Efficiency has indeed increased, but another problem has emerged: as the volume of output grows, it becomes increasingly difficult for "brand" to be remembered.

Insight [Brand-to-Revenue] How Precise Brand Communication Drives Enterprises: We've Done the Branding, Why is On-the-Ground Execution Still...

In the past year or two, AI tools have infiltrated the daily work of almost every marketing team. Social media posts, EDM campaigns, product copy, and business presentations can all be generated rapidly. Efficiency has indeed increased, but another problem has emerged: as the volume of output grows, it becomes increasingly difficult for "brand" to be remembered.

In the past year or two, an increasing number of companies have been actively adopting AI tools. From content creation and social media management to customer service responses, AI has infiltrated the daily work of marketing teams. However, a phenomenon worth deep consideration is that as all brands leverage AI to accelerate content production, the distinctiveness and communication differentiation between brands are becoming increasingly blurred.

The global big health and medical economy reached a historic high of $6.8 trillion in 2024 and is expected to approach $10 trillion in 2029. This isn't news. What's truly noteworthy are the structural shifts happening behind this figure.