Published on December 8, 2023, 6:29 am
A recent study conducted by Slack has shed light on a significant gap between the perceived importance of implementing generative AI tools in the workplace and the actual adoption of such technology. The study, which surveyed approximately 10,000 workers globally, also highlighted differences between countries, with the UK leading the charge in terms of urgency perception compared to the US.
According to the findings, around three in five British workers (61%) see a high or existential need to incorporate generative AI into their work. This compares to around two in five American workers (44%) who share a similar sentiment. However, despite this expressed desire for AI tools, only one in five UK employees (19%) have actually used them at work. This figure is noted as being the lowest among all countries included in the survey.
It is worth noting that fewer British workers also reported experiencing increased productivity from using AI tools compared to their counterparts in other countries such as the US and Australia. Slack acknowledged that these figures may be less reliable due to fewer workers having had access to and experience with these tools.
Emphasizing the potential for improving worker productivity through AI utilization, Slack shared additional key findings from their study. They suggested that two hours per day spent in meetings acts as a tipping point for optimal productivity. Beyond this threshold, time spent in meetings can hinder overall efficiency.
The study also revealed that nearly half of UK and US workers (45%) rarely or never take breaks during their workdays. Furthermore, many consider the period between 3-6pm, referred to as the post-lunch slump, as unproductive time.
Commenting on these findings, Deirdre Byrne, Slack’s Head of UK & Ireland, emphasized that building trust around AI tools could lead not only to an AI revolution but also a productivity revolution.
In conclusion, while there is a perceived urgency among workers regarding the integration of generative AI tools into their workflows, actual implementation seems to be lagging. However, as more employees gain trust and familiarity with AI tools, the potential for a productivity revolution looms on the horizon.