When exploring the impact of AIGC (artificial intelligence generated content) on the business model, the article pointed out that AIGC's business model disruption to ToB (enterprise-to-business) enterprises is limited, and it is more about the optimization and restart of the business model. Although large models show great potential in data processing, the challenge remains the high cost of data classification and labor. The cost of large models is expected to drop sharply with advances in technology, but some industries may face the destruction of service models.
When combined with AIGC, it is crucial to focus on the utilization of algorithmic structure and professional data. Small models may have limited value because they are difficult to deal with large-scale and complex datasets. Nevertheless, the introduction of AIGC still presents new opportunities and challenges for various industries, especially in data-driven decision-making and automation processes.
Although AIGC has attracted widespread attention from various industries, the journalism industry believes that AIGC cannot completely replace its existence. The core value of journalism lies in in-depth reporting, fact verification and humanized narrative, which are difficult to completely replicate at current AIGC technology. Therefore, when facing AIGC, journalism regards it more as an auxiliary tool than a substitute.
In general, the impact of AIGC on the business model is multifaceted, with both opportunities for optimization and restart, as well as challenges and risks. When introducing AIGC technology, enterprises need to comprehensively consider their algorithm structure, the utilization of professional data and cost-effectiveness to achieve continuous innovation and optimization of business models.