| Irrespective of industry, the rise of gen AI has reignited boardroom discussions about cloud strategies. While the potential is big, so are the complexities — especially for CIOs suddenly facing budget overruns, security risks, and tangled hybrid environments.
“Companies are trying everything, which leads to enormous costs,” says Juan Orlandini, CTO North America at Insight. “If you're running gen AI in the public cloud, the costs add up quickly. You get charged for everything — compute, storage, and all the network traffic.” Juan Orlandini, CTO North America, Insight Insight Those surging expenses reflect a broader reality. Gen AI workloads are unpredictable, data-intensive, and often experimental, according to Bastien Aerni, VP at GTT, a networking and security as a service provider. “CIOs often don’t know how successful a given initiative will be,” he says. “Overinvesting is risky, and underinvesting limits scalability and user experience.” |
