Half of Generation Z confirms it: AI is devouring their brains.

46% of workers belonging to Generation Z believe that their over-reliance on AI is eroding their capabilities.

AI is reportedly saving employees more than two hours of work per day. However, behind these impressive statistics lies a plethora of nuances that ultimately diminish its brilliance. While AI makes workers faster, it also makes them more prone to doubting their own abilities. This tension is becoming a major challenge for organizations, and the truth is that most are not adequately prepared to address it.

According to a recent global study by GoTo and Workplace Intelligence, 50% of the 2,500 employees interviewed confessed to relying too heavily on AI in their work. Furthermore, 30% admitted they cannot do without this technology to complete tasks that overlap with their job responsibilities. And 39% believe their over-reliance on AI is eroding their skills and ultimately making them less intelligent. This proportion climbs to 46% for Generation Z workers.

It seems, therefore, that the adoption of AI in the workplace has been extraordinarily rapid, and the consequences (which are not necessarily positive) are now clearly emerging.

It is also worth noting that 60% of employees feel pressured to use AI tools to boost productivity, regardless of whether the task at hand actually requires it. Needless to say, this pressure, if not accompanied by adequate training and clear policies on AI use, leads workers to misuse this technology. And the numbers clearly demonstrate this.

AI is commonly misused in the workplace.

70% of employees admit to having used AI for sensitive tasks, to make decisions that would have required emotional intelligence, and to perform actions that necessarily involved confidential information. And it is precisely in these areas where human judgment becomes absolutely irreplaceable, and where mistakes can potentially be more costly. Moreover, the problem seems to be worsening over time, as just a year ago, the percentage of workers who reported misusing AI was only 54%.

In the same way that «AI slop,» or digital garbage, is severely polluting the internet, the so-called «AI workslop» is also wreaking havoc in the workplace. 43% of workers say they have used AI-generated content for professional purposes even while suspecting it was of low quality or contained errors. Given this figure, it is hardly surprising that 77% of employees confess that reviewing AI-generated work takes more time than reviewing work created by human beings. Furthermore, 66% of workers also complain that having to work on their colleagues’ AI-generated content ultimately translates into extra work.

In this sense, even though the efficiency stemming from AI is real, that efficiency is also largely diluted by the massive influx of tasks executed with the support of this technology that require review.

The GoTo and Workplace Intelligence report also reveals a significant disconnect between employees and leaders when it comes to using AI. 84% of employees indicate that their employer could do much more to promote the responsible use of AI. However, only 48% of IT leaders share this view.

Leaders should lead by example when it comes to the responsible use of AI.

It is equally concerning that only 44% of IT leaders confirm that their company has a clear policy regarding the use of AI. And among those companies that do have a policy on this matter, 77% of employees emphasize the need for improvements. Along the same lines, 80% of workers and 60% of AI leaders admit that most employees are not adequately trained to use AI appropriately.

The inappropriate use of AI is not a technological or generational problem, nor is it a challenge that will self-correct as the technology evolves. The problem is that if employees misuse AI, it’s not due to laziness or a lack of faith in the technology, but because they’ve been given a powerful tool without the necessary context or training to use it effectively. Furthermore, they are explicitly or implicitly expected to deliver results.

To solve this problem, the research suggests that the first priority is to implement effective AI policies that are directly focused on the technology and must be accompanied by appropriate training. The second priority is for companies to invest in developing uniquely human skills such as creative thinking and emotional intelligence. And third, leaders should become role models for the responsible use of AI within their organizations.

Source: www.marketingdirecto.com