Automation is no longer novel—it’s practical. Artificial intelligence (AI) is already so integrated into our lives that we take it for granted—although we do appreciate its always-on availability, efficiency, and accuracy.
Not surprisingly, many organizations are looking to implement AI in IT and data scenarios, where there’s an alluring promise to increase capacity and productivity—without increasing headcount. AI has the power to both augment and replace roles, but for database administrators (DBAs) and IT professionals, is automation really a threat?
What’s the Perceived Threat?
“Optimists say that machines will free human workers to do higher-value, more creative work. Pessimists predict massive unemployment or even an apocalypse in which humans merely serve robots. Of course, both the optimists and the pessimists are partially correct and partially wrong.” Ravin Jesuthasan, Reinventing Jobs
The benefit to the bottom line is hard to dispute: When IT organizations are being asked to do more all the time, often with limited resources, AI can help them save money, drive innovation, and optimize operations.
Automation is definitely going to take certain tasks from humans—technology has been doing this for decades. But concern bubbles up when you start delegating the bulk of a workflow to AI. What’s leftover