Oct 22, 2025
3 min read
Nearly 80% of companies expect to "borrow AI" in the future, according to a new report from Asana, which surveyed more than 9,000 knowledge workers worldwide.
AI capabilities are advancing rapidly, and companies around the world are scrambling to keep up and implement AI tools, but sloppy execution has consequences.
In fact, 79% of global companies expect to introduce new AI products over 9,000 new hires over 9,000 experienced hires over 9,000, UK, Australia, Germany, Morocco.
The report notes that organizations are not ready and lack the necessary infrastructure and oversight to create smooth collaboration between human employees and autonomous AI agents.Unlike artificial AI, agents operate autonomously, can initiate actions and remember their previous actions.Some examples include OpenAI Operator and Anthropic's Claude.
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"Monetary costs can. They can also be lost with money. They can be expensive to implement. These are all costs of insufficient implementation," Hofmat.
The report notes that this could manifest as credit protection risks, poor data quality, low-impact AI agents that will waste time and resources for human employees, and management skills gaps.
Hoffman said it's not a burning list, and that "debt" could be AI-engineered code that doesn't work well or has nothing to offer.
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They had a few hours of work for people, $186 million was found in one month, in each study.
"There's a lot of investment going into this space right now, and ultimately the question is whether that investment will pay off," Hoffman said.
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"The chief technology officer or the head of innovation, the great people I've worked with, the people who I think put me in the best position to succeed, don't sugarcoat the price that this is going to take... Like any form of radical rework, you're going to have problems, you're going to have bumps in the road," Ajed said in an interview.
"It's not a magic silver bullet"
The Asana report found that by 2024, the level of digital burnout among jobs is increasing, from 52 percent to 70 percent by 2025.
Digital fatigue has increased to 84% in 2025 from 75% in the previous year, while unmanaged workloads have also increased to 77%, according to the report.
Mona Mourshed, founding CEO of Global of Generation, a US-based employment agency, said that despite companies offering AI tools and encouraging applications, workers are still struggling.
"The core reason they struggle, and we know this from even talking to our own alumni, is that the use case for how and why you should use this AI tool in the flow of your work is often missing," Mourshed said.
"If you don't have a clear understanding of what your use case is, you can make this particular task better, faster, cheaper...That's what leads to fatigue, because you don't know the intended outcome," he added.
Mourshed pointed out that companies are investing in artificial intelligence in the hope that the job can be done better, faster and cheaper overnight, but they are not providing the necessary training or guidance to enable improvements.
"It's not a magic silver bullet and all of a sudden it does everything you want it to do when you install it ... it's going to be a lot more painful to get the benefits than companies thought."
Experts who go for the right strategy must carefully analyze the use of the perfect threat and prepare for it.
"You don't just start using, you start a pilot, you start sandboxing these systems," he said.
This includes everything from proper training for employees to thinking about the type of AI model a business needs.It is very difficult to respond to mistakes or errors if there is no method.
"So I'm not saying you can't take risks when it comes to AI, but it has to be calculated and it has to be scaled," Ajder said.
