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More developers of AI products are considering how to implement viable business models, while workers become more comfortable using generative AI in their work. A year ago, most of the talk we heard was about the potential of Gemini and ChatGPT. Today we’re hearing more about actual use cases and case studies.
Still, there’s a long way to go before AI begins to truly mature. Partly, that’s because exactly how the technology fits into work is still a topic for gut feel and speculation.
According to Salesforce, workers increasingly trust AI to take a significant number of tasks off their plates, often without close supervision. Writing code, identifying data trends and drafting communications are examples of what they believe AI can do on its own.
Areas considered to be higher-touch remain the purview of human beings, not surprisingly. Onboarding, training and data security should still be overseen by people, the thinking goes. But, Salesforce points out, that’s bound to change as people learn more and gain more experience with AI. The more familiar the technology becomes, the more people will trust it. In
