Artificial intelligence is inevitably entering the workplace. And at least some they fear that technology may replace employeesAI industry leader says employees shouldn’t worry about what’s up-to-date tools replacing them – they should worry about the people who know how to do it exploit their.
Almost half Senior managers surveyed by Deloitte said their companies are currently training and upskilling employees to prepare for integrating AI into the workplace, acquiring other companies already using AI tools, and hiring for AI-focused positions. In a up-to-date study released Tuesday, forty percent of executives said they were preparing to do the same.
“No matter what you do today, artificial intelligence will be a tool you will exploit,” Beena Ammanath, U.S. Technology Trust ethics leader at Deloitte, said in an interview. “Artificial intelligence will impact and improve every role and every job. I don’t think AI will take your job. It will be the people who know artificial intelligence and can exploit it effectively that will take your job.”
Ammanath said employees need to have basic knowledge of AI – for example, understanding various terms such as gigantic language models or LLMs that support chatbots like ChatGPT. She said workers need to know what artificial intelligence tools are available in their industry that can boost productivity and efficiency.
“I think upskilling is no longer a choice,” Ammanath said. “Everyone needs to fundamentally understand the basics of AI and how AI can facilitate them do their jobs better.”
As companies integrate AI into the workplace, their attention will also shift to the ethical and responsible exploit of AI, Deloitte research has found. Of the surveyed managers, 86% said that their organization is preparing or has already implemented policies regarding the ethical exploit of artificial intelligence. More than 50% of surveyed leaders said that focusing on the ethical exploit of AI is crucial to revenue, with 47% citing brand reputation and market trust as reasons. Managers focus on revenue, Ammanath said, because AI mishaps related to fairness and bias can impact a company’s bottom line and its trust in customers.
