GENAI MULTIPLE: THE INFLUENCE OF GENERATIVE AI COMPONENTS IN BUSINESS MODELS ON COMPANY VALUATION
This article analyzes the influence of multiple generative artificial intelligence (GenAI multiple) components on business models and company valuation. The main aspects of using GenAI multiple are considered, such as process automation, reducing operating costs, improving forecasting accuracy and improving customer interaction. Special attention is given to the study of synergistic interactions between multiple artificial intelligence models for process optimization, which opens up new opportunities for companies in industries like finance, marketing, retail, and manufacturing. The article also discusses how GenAI multiple contributes to the growth of intangible company assets, such as data and intellectual property, thus increasing their market value. Examples of successful implementation of GenAI multiple by companies like Accenture and Bain & Company are provided.
Institutions
- Lomonosov Moscow State University (RU)
- Moscow State University (TJ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-18
- DOI
- https://doi.org/10.5281/zenodo.13951893
- Primary Topic
- Historical Influence and Diplomacy
- Type
- article
- Field-Weighted Citation Impact
- 0.00