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Generative AI was once hailed as a transformative technology, with forecasts suggesting it could add $7 trillion to global GDP by 2033. However, recent observations indicate a lack of substantial growth or job displacement linked to these technologies, raising questions about their actual impact. Despite significant investments, many companies find that generative AI is delivering minimal value, leading to skepticism about its revolutionary potential.
The slow adoption of generative AI in business settings is compounded by fears of legal repercussions and employee resistance. Companies like Microsoft are struggling to convince customers to invest in AI tools like Copilot due to performance issues. For generative AI to fulfill its promise, a 'killer app' must emerge, providing compelling reasons for widespread use beyond simple tasks like overcoming writer's block.
• Goldman Sachs predicts generative AI could add $7 trillion to GDP by 2033.
• Companies are hesitant to deploy AI due to fears of legal issues.
The article discusses its potential to revolutionize productivity but highlights current limitations in delivering value.
The article mentions concerns about AI hallucinations leading to legal issues for companies deploying these technologies.
The article emphasizes the need for a killer app in generative AI to drive widespread adoption.
Goldman Sachs forecasts significant economic contributions from generative AI, suggesting its transformative potential.
Microsoft faces challenges in promoting its AI-powered Copilot due to performance and cost concerns.
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