In this way , AI can give managers an insight into a site ’ s future requirements , which gives them a huge planning advantage .

AI and workloads , how will staffing levels be impacted ? Naturally , one of the consequences of increasing automation is , often , decreasing staffing levels .

Although one of the greatest benefits of AI is its ability to reduce the need for manual tasks , questions are being raised about how this will impact staffing levels .

In fact , when asked whether they believe that AI would reduce data centre staffing levels , Statista research revealed that 77 % of IT and data centre managers surveyed believed that this would be the case .

Of those surveyed , 34 % believed that there would be a reduction within the next five years , while 43 % also predicted a reduction , but not within the next five years .

But , AI ( as it stands , at least ) is far from possessing the ability to replace human teams altogether , meaning fears of a technological takeover are largely unfounded .

" Machines simply cannot replace humans in many respects , though there are certainly areas where machines are much better than humans ,” outlines Richard Boyd , the Co-Founder and CEO of Tanjo .

And , with the promise of more efficient workloads , enhanced safety procedures , flexibility and improved future forecasting all on the line , it ’ s hardly surprising that so many data centres are investing in AI technologies .

“ Incorporation of AI applications has been an ongoing trend for data centres , and we see no sign of this slowing down ,” Waite affirms . datacentremagazine . com 101