Companies with annual revenues of at least $500 million (50 Crores) are more rapidly embracing Artificial Intelligence (AI) compared to smaller companies, according to a report by McKinsey.

The report indicates that these organizations are starting to establish the frameworks and procedures necessary for deriving significant value from generative AI.

Although still in the nascent stages, companies are reorganizing workflows, enhancing governance, and addressing more risks, the report noted.

Additionally, the report states that overall AI utilization—including generative AI and analytical AI—is gaining traction.

More than 75 percent of survey participants claim that their organizations implement AI in at least one business function, according to the report, which also mentions a swift increase in the application of generative AI specifically.

The survey responses reveal that companies typically deploy generative AI in areas such as marketing and sales, product and service development, service operations, and software engineering.

 

The survey results also provide insights into how organizations are organizing their AI deployment strategies.

The report points out that in terms of risk and compliance along with data governance, organizations frequently utilize a fully centralized model, like a center of excellence.

In contrast, for technology talent and the implementation of AI solutions, respondents most commonly indicate a hybrid or partially centralized approach, where some resources are managed centrally while others are spread across functions or business units.

However, respondents from organizations with revenues below USD 500 million are more inclined than others to indicate full centralization of these components, the report added.

As emphasized in the report, many organizations are intensifying their efforts to manage risks associated with generative AI.

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It further notes that respondents now show a greater likelihood than they did in early 2024 of stating that their organizations are proactively addressing risks related to inaccuracy, cybersecurity, and intellectual property violations.