when AI is more capable of tackling the easy ones?
Posted: Thu Feb 13, 2025 4:35 am
When generative AI burst into mainstream awareness, the question on everyone’s lips was: “Is AI coming for my job?”
I’m all for a little bit of drama, but this exaggerated view of AI is a myth. AI is not coming for your job, it’s coming to your job. As data scientists and technology experts, we’ve been using tools indonesia whatsapp number data like predictive models, decision engines, and fraud detection for years with fantastic results. Generative AI is the final piece of the puzzle that will pair up with these other intelligent tools and help businesses achieve real digital transformation.
But lurking below the surface, there’s another myth to bust about the practical application of AI in the workplace.
Given AI’s powerful capabilities, everyone wants to set AI tools to the task of solving super-complex problems. But why start with the hard problems
Generative AI has proven to be capable of taking on the administrative burden of humans in the workplace, but it can’t make judgement calls for the business – and it likely never will. Generative AI won’t automate everything because humans need to be there to make informed, solid decisions.
A true win for generative AI in the workplace is setting the models to the task of handling all the low-hanging fruit on employees’ to-do lists, leaving employees to focus on the tasks that require judgment calls, decision-making, and a sensitive, human touch.
I’m all for a little bit of drama, but this exaggerated view of AI is a myth. AI is not coming for your job, it’s coming to your job. As data scientists and technology experts, we’ve been using tools indonesia whatsapp number data like predictive models, decision engines, and fraud detection for years with fantastic results. Generative AI is the final piece of the puzzle that will pair up with these other intelligent tools and help businesses achieve real digital transformation.
But lurking below the surface, there’s another myth to bust about the practical application of AI in the workplace.
Given AI’s powerful capabilities, everyone wants to set AI tools to the task of solving super-complex problems. But why start with the hard problems
Generative AI has proven to be capable of taking on the administrative burden of humans in the workplace, but it can’t make judgement calls for the business – and it likely never will. Generative AI won’t automate everything because humans need to be there to make informed, solid decisions.
A true win for generative AI in the workplace is setting the models to the task of handling all the low-hanging fruit on employees’ to-do lists, leaving employees to focus on the tasks that require judgment calls, decision-making, and a sensitive, human touch.