Deploying Generative Artificial Intelligence: How Organizations Are Changing Their Businesses

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2024 has represented a turning point in the implementation of Artificial Intelligence (AI), particularly in the field of Generative AI (Gen AI). According to McKinsey's most recent global survey on AI, 65% of respondents say their entities make frequent use of this technology, a percentage almost double that of the previous survey conducted ten months ago. This increase in adoption is evidence of a major transformation towards the acquisition of true corporate value from the AI gene, with the anticipation of a significant or revolutionary effect in different sectors in the coming years. 

Realizable Advantages of Generative Artificial Intelligence

Entities that have incorporated generative Artificial Intelligence have begun to see significant material benefits. These results are manifested in both decreased costs and increased revenues in business units that apply this technique. The McKinsey survey also provides clarity about the dangers associated with the use of artificial genetics, inaccuracy being one of the most salient. However, rising best practices are showing that these challenges can be mitigated and the potential value of AI genetics can be captured.

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Increase in AI Deployment on a global scale

The growing attention to generative Artificial Intelligence has resulted in widespread and growing interest in a wide range of AI-related skills. This phenomenon reflects a significant shift in how organizations around the world are approaching and adopting these technologies.

  • In the last six years, approximately half of all organizations had adopted Artificial Intelligence. This shows a consolidated growth but has now experienced a remarkable increase to 72% this year.

  • This interest and adoption of Artificial Intelligence is global, with a diffusion of the technology that has left no region behind. By 2023, no region had reached a level of adoption higher than 66%.

  • Against current data, this year more than two-thirds of respondents in most regions say their organizations are already implementing AI technologies.

  • Within industries, professional services has shown a more prominent increase in the use of Artificial Intelligence. This sector is leveraging AI capabilities to improve efficiency and innovation.

  • The responses obtained from organizations indicate that AI is now being employed in a wider number of operational areas. This reflects a trend towards deeper and more diverse integration of AI into daily business practices.

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Functional Transformation through Gen AI

The implementation of gen AI is most prevalent in tasks where it can generate significant value, highlighting several key areas in its application:

  • Widespread Adoption: Sixty-five percent of respondents indicate that their companies routinely use gen AI in at least one corporate function, up from one-third adoption in the previous year.

  • Main Areas of Use: This technology is mainly used in the areas of marketing and sales, as well as in the creation of products and services. Previous studies have indicated that these areas are the ones that can obtain the greatest benefits from the application of the AI gene.

  • Significant Increase in Marketing and Sales: Since 2023, we have seen a significant increase in the use of gen AI in marketing and sales, with a doubling in adoption, signaling a growing interest in these areas to maximize return.

2024 marks the beginning of a new era for generative AI, where its incorporation into organizations is not only changing internal operations, but also reshaping the perception of work at the individual level. As organizations continue to incorporate this technology, it is anticipated that the financial benefits and efficiency gains will continue to increase, provided the challenges are managed correctly. The future of Artificial Intelligence looks bright and its potentially revolutionary effect will undoubtedly shape industries in ways that are just beginning to emerge. Entities that manage to balance the potential of the AI gene with efficient risk management will be in a better position to lead this new technological landscape.


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