Often pitched as an efficiency boon, AI has endured some harsh press lately as those promises run up against the hard realities of what the workforce is experiencing.

IT pros are finding the challenges of AI can, at times, outweigh the benefits—and even slow down workflows: Research from the Harvard Business Review in February revealed that, for all the promises of AI efficiency, actual deployment of the technology has led to an increase in task time.

Having to redo work originally created by AI is becoming a problem for IT teams—and looking for solutions is increasingly important for companies and organizations hoping to streamline operations.

Changing priorities. Part of why AI rework has become such a chronic problem is, paradoxically, the rise in automating tasks. As Nullify CEO Shan Kulkarni told IT Brew, removing human oversight of AI work in exchange for trusting the outputs means that staff often must step in to address mistakes that would have been caught earlier on. On the brighter side, it’s an evolution that may eventually smooth itself out.

Rework it, girl!—EH

Login failures, software snafus, and malfunctioning hardware may soon look like quaint problems to IT help desks in an increasingly AI-defined workplace.

The days of submitting a ticket for these relatively straightforward issues are making way for an era in which AI agents are embedded throughout workflows and employees are jumping on the vibe coding bandwagon (don’t even get us started on workslop).

As Saoud Khalifah, CEO and CTO of AI verification startup Ciphero, told us: “I feel sympathy for the IT desks.”

That’s because the humans operating those desks could face problems that are more difficult to untangle, thanks to the black-box nature of LLM-powered models—even as they’re on the front lines of helping workers learn the ins and outs of AI and seeing roles in their own departments become more automated.

The top down, over here.—JG

Observe and report—now with machine learning and automation.

Data platform Splunk, which uses AI to facilitate operations and security, plans to use technology from its parent company Cisco’s new acquisition of Galileo Technologies to give IT professionals more visibility into their tech stack and internal processes. Galileo produces an AI observability platform that monitors traffic and builds datasets from “synthetic, development, and live production data.”

Look. Visibility is an increasingly important concern for IT pros seeking to better observe their environments, particularly in hybridized systems. Raghu Nandakumara, VP of industry strategy at Illumio, told IT Brew in March that attackers are always looking for inconsistencies in monitoring.

“You want to have that consistent view so that you can then understand your risks in a consistent manner and address them,” Nandakumara said.

Search among the stars, but start right here.—EH

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