Agentic AI has become the hot topic of 2025, for example. Yet, even though a large percentage of employees use AI agents, there appear to be a few significant hiccups, according to project management platform Asana. “Workers already hand 27% of their workload to agents, rising to 34% in a year and 43% within three years, signaling the biggest shift in how work gets done since the arrival of the PC.” However, “62% of workers say agents are unreliable; 59% report they confidently share wrong information, and 57% say they ignore feedback. Instead of reducing work, many agents are creating more rework for 58% of employees,” Asana comments. To make things even worse, when agents make mistakes, “a third of workers (33%) say no one is responsible, while others scatter blame between IT, end users, or the agent’s creator. With no clear ownership, companies risk accumulating massive ‘AI debt’ and eroding trust.” Finally, approximately 82% of employees agree that “proper training is essential to use agents effectively, yet fewer than four in 10 companies provide it, leaving workers eager but unprepared to delegate beyond basic admin tasks.” So are AI agents really useful? If we look at the way they’re currently being implemented across workplaces, the short answer is no. But if we apply a digital transformation strategy and change management (which includes training), that’s when we will see the real ROI of agentic AI.