Most senior enterprise leaders count on synthetic intelligence to result in workforce progress and job redesign moderately than widespread redundancies, in accordance with new international analysis from industrial actual property agency JLL. The corporate’s 2026 Way forward for Work Survey, based mostly on responses from greater than 2,200 C-suite executives and company actual property leaders throughout 21 nations, discovered that 60 % of respondents count on their organisations to extend headcount over the approaching years, whereas the identical proportion imagine AI will reinvent current roles moderately than substitute them. The findings problem what JLL says are widespread issues about AI-driven job losses, though the report acknowledges that some roles are nonetheless anticipated to vanish as organisations undertake the know-how.
In line with the survey, organisations which are additional superior of their use of AI usually tend to recruit full-time workers, spend money on entry-level expertise and redesign jobs so that folks work alongside AI programs moderately than being changed by them.
Regardless of these expectations, the analysis suggests that almost all organisations stay at an early stage of AI adoption. Whereas 78 % of respondents imagine AI will considerably affect their actual property technique, solely 31 % are actively making ready workplaces to help collaboration between individuals and AI, and simply 15 % say they’ve reached what the report describes because the optimisation stage of AI adoption.
As a substitute, many organisations stay within the planning section. Round 46 % are monitoring developments in AI, whereas 40 % are analysing its potential impression on their company actual property operations earlier than committing to important office modifications.
Neil Murray, chief government of actual property administration companies at JLL, mentioned the general public debate had targeted closely on potential job losses, whereas many companies had been taking a unique view. “The general public dialog round AI has been dominated by its impression on jobs and our analysis reveals that almost all firms are targeted on the alternatives that include AI,” he mentioned. “Most forward-thinking leaders aren’t simply shopping for know-how; they’re investing of their individuals. They’re pursuing a method of human-machine enhancement to create further roles, increase productiveness and drive sustainable progress.”
The report additionally identifies abilities shortages as a major impediment to wider AI adoption. Greater than a 3rd, 36 %, of respondents cited gaps in AI, analytics and rising know-how abilities as their greatest problem over the subsequent three to 5 years. Different boundaries included restricted change administration experience, organisational silos and difficulties measuring the impression of AI investments.
Know-how-related dangers additionally characteristic prominently within the findings. Cybersecurity and knowledge privateness had been recognized because the main concern by 47 % of respondents, adopted by financial volatility and finances pressures at 43 %, AI and know-how disruption at 41 % and uncertainty about AI’s long-term impression on workplace house at 40 %.
The survey suggests productiveness has develop into the dominant precedence for office funding. Superior know-how and AI help had been recognized by 46 % of respondents as crucial think about enhancing worker productiveness, adopted by dependable know-how infrastructure at 44 %. By comparability, adaptable workspaces had been chosen by 31 % and wellbeing facilities by 24 %.
JLL argues that this shift is creating rigidity between organisations’ ambitions and the price of delivering AI-enabled workplaces. Rising vitality prices, funding in know-how infrastructure and AI-driven automation had been all recognized as important monetary pressures.
Peter Miscovich, JLL’s international future of labor chief, mentioned organisations main in AI adoption had been more and more integrating office, know-how and other people methods. “We’re seeing a elementary shift in what defines a high-performing firm,” he mentioned. “Main organisations are demonstrating deeper integration between actual property, HR and know-how to help their enterprise methods.”
The report suggests organisations are responding to those pressures in several methods. Some are prioritising operational effectivity and delaying transformation due to value constraints, others are outsourcing parts of office supply, whereas essentially the most superior organisations are investing in new abilities, change administration and nearer collaboration throughout enterprise capabilities to help long-term AI adoption.
