Published on February 29, 2024, 8:12 pm

Generative AI has been making waves in the tech world, especially since the buzz created by OpenAI’s ChatGPT in 2023. This technology has evolved significantly from its early stages of enhancing chat functions to now being utilized in various areas like content creation, translation, image processing, and even code writing. The potential of Generative AI goes beyond just improving business operations; it has the power to reshape entire industries and their competitive landscapes.

Businesses have already begun experiencing the impact of Generative AI on functions such as product innovation, supply chain management, and customer experience. Positive returns on investment (ROI) are being witnessed as companies deploy platforms and tools powered by generative AI.

To gauge the readiness of enterprises for successful implementation of generative AI, a survey was conducted involving 300 senior executives from different regions and industries. Insights from this survey, combined with expert interviews, shed light on the challenges companies face in adopting generative AI effectively.

A key finding from the research is that while many corporate leaders plan to leverage this technology to gain a competitive edge, they might be underestimating the hurdles they could encounter. A significant number of respondents believe that generative AI will disrupt their industries substantially in the next five years.

Interestingly, most executives view generative AI not as a risk but as an opportunity for innovation. They aspire to be disruptors rather than being disrupted themselves. Despite high expectations for change, only a few companies went beyond experimenting with generative AI in 2023.

Looking ahead to 2024, there are ambitious plans among businesses to expand their use of generative AI across various functions such as customer experience and strategic analysis. However, companies need to address IT deficiencies to avoid falling short of their deployment goals. Additionally, non-IT factors like regulatory risks, budget constraints, cultural barriers, and skills shortages pose challenges to maximizing the potential of generative AI.

In conclusion, while executives anticipate generative AI will bring about significant disruptions across industries, they must address both IT and non-IT challenges effectively to fully capitalize on the benefits this technology offers.


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