But adopting the technology is helping the company move forward, she says.
“We’re dedicated to being industry leaders in a really dynamic space,” she says. “And even if today it doesn’t really save us time, there will be a point where it’s necessary — and where others would just be starting.”
When it comes to gen AI, there’s a gap between what executives expect it to do and what the actual experiences of employees are, says Ashok Krish, head of advisory and consulting for AI at Tata Consultancy Services. After all, today’s generative AI tools are general-purpose, and in their early stages.
“What’s available today barely scratches the surface of what generative AI will do to transform knowledge work in the near future,” he says. “This is a necessary stage of adoption we all have to go through. It’s like the early stages of the internet where only a small group of engineers and tech enthusiasts knew how to get value out of it.”
So in the short term, employees will have to deal with getting used to a new, limited technology, and companies will have to deal with uncertain ROI. “Because if they don’t, they’ll be left behind when AI inevitably transforms all types of work in the coming years,” he says.
Still, there are some things companies can do to hurry things up.
“We’re seeing that the most productivity increases and ROI from generative AI come from highly targeted, industry-specific applications,” he says. It also helps, he adds, when companies get more employees involved and give them access to AI tools so they can develop their own ways to transform their jobs.
