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With companies investing heavily in artificial intelligence, many leaders are skeptical about the impact on corporate productivity. Despite advances in generator AI, there is a huge gap between its potential and real-world implementations. Writer CEO May Habib shared insights on why AI adoption is slower than expected and how businesses can bridge this gap and unlock real value.
Habib discusses enterprise adoption of generation AI with Bloomberg’s Caroline Hyde, highlighting that many business leaders feel that AI is not providing the productivity gains they expect. A survey of Fortune 500 executives found that 71% were disappointed with the AI initiative. Habib attributed this to an outdated development approach, creating solutions that the team could not meet their business needs. However, the author of her company is building AI tools that effectively integrate with enterprise workflows, highlighting IT and business unit collaboration.
She explained that AI models require more than raw computing skills. To function efficiently in an enterprise configuration, it must be combined with structured and unstructured data. Unlike many AI companies that focus on inference models, writers prioritize self-evolution models that update in real time based on user feedback rather than require extensive retraining. She argued that this approach is essential to achieving advanced AI capabilities.
Habib also discussed workforce challenges, acknowledged the continuing talent shortage, urging writers to expand internationally in new offices in London and Singapore. She also noted that the AI startup market is busy and many people struggle to secure enterprise clients. Writers are exploring acquisitions to improve the platform by integrating innovative solutions for small and medium-sized businesses.
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