US companies have allocated $35 billion to $40 billion towards generative AI projects, yet many remain in pilot stages, yielding minimal revenue impact. Only 5% of these initiatives contribute significantly to financial growth. Issues primarily arise from inadequate integration of AI into existing corporate workflows, not the quality of AI models. While companies often focus investments on sales and marketing, the most considerable returns come from back-office automation and enhancing internal processes. Successful firms typically purchase specialized solutions and form partnerships rather than developing AI capabilities in-house.
US companies have invested between $35 billion and $40 billion in generative AI projects, but most efforts remain in the pilot stage with little impact on revenues.
The main issue preventing revenue growth is not the quality of generative AI models, but rather a lack of integration with corporate workflows.
Investment in sales and marketing solutions yields minimal returns, while back-office automation and internal process streamlining offer significant benefits.
Companies achieving success in generative AI typically acquire specialized solutions and cultivate strategic partnerships instead of relying on in-house development.
Collection
[
|
...
]