50% Will Not Cut back Headcount as a Results of Agentic AI within the Subsequent Two Years
NLX, the AI platform powering superior conversational experiences for the world’s most admired manufacturers, immediately introduced the outcomes of a commissioned survey of U.S. executives in corporations with 5,000 or extra workers. The survey was carried out by QuestionPro, an unbiased on-line analysis, insights, and expertise firm.
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With agentic AI being the most recent matter of dialog in enterprise circles, NLX is occupied with when executives in giant organizations expect agentic AI to ship a optimistic return on funding. The survey outcomes present an extended horizon for ROI than NLX would anticipate and way more muted expectations than media and investor hype round agentic AI would recommend.
“It’s true that we’re early days implementing and scaling agentic AI, besides, return on funding ought to occur inside 12 months for enterprise organizations,” mentioned Andrei Papancea, co-founder and CEO of NLX. “If it takes longer than that, corporations are selecting the unsuitable issues to resolve.”
Apparently, whereas 57% of executives say they are going to have customer-facing agentic AI experiences in 2025, most aren’t anticipating the expense to offset the advantages for not less than three years, and most don’t plan to scale back headcount for not less than two years.
The biggest cohort of executives, 45%, imagine that agentic AI will ship a return on funding inside three to 5 years. Twenty-two % are extra optimistic, anticipating a payoff inside two years. Apparently, 33% of executives are considering agentic AI gained’t ship a return for not less than 5 years, with 18% saying 5 to seven years, and 15% seven years or extra.
The sentiment on ROI on agentic AI aligns with expectations on decreasing headcount, with 30% anticipating to switch people with agentic AI within the subsequent two years, 50% saying they gained’t scale back headcount in that point, and 20% being uncertain.
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“Selecting to deal with fixing small issues with AI usually appears safer, however on the finish of the day, the enterprise impression isn’t there, so it’s a failure,” continued Papancea. “It’s really higher to decide on a big downside that’s properly suited to be solved utilizing AI. You possibly can nonetheless deploy the applying in a means that minimizes threat, however the enterprise impression will likely be there.”
Methodology
This survey was carried out by QuestionPro in February 2025 of workers of U.S.-based corporations. Of the 100 responses, 45 workers labored at corporations with 5,000 to 10,000 workers, and 55 at corporations with 10,000 or extra workers. The entire respondents had a director-level title or larger.
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