AI's limited increment in efficiency for workforce productivity
In a recent study by job search engine Indeed, it was found that the use of generative AI, specifically ChatGPT, brings only minor efficiency gains for employees.
The survey included working adults as participants, who estimated time savings of less than three hours per week on average. Only eight percent of the surveyed working adults gained more than six hours of time savings per week.
The findings of the study suggest that while AI may help streamline tasks like paperwork and customer service, it does not lead to significant improvements in employee productivity.
Interestingly, the study found that employees who were open to discussing AI within their company saved more time compared to those who were reluctant to do so. Lack of time was a reason cited by 31.5% of the 501 respondents for their reluctance to communicate about AI.
The CEO of Indeed Germany, Frank Hensgens, stated that the mere availability of AI tools does not automatically lead to expected productivity increases. He emphasized the need for cultural and organizational changes to encourage open dialogue and experimentation with AI.
Regarding obstacles to AI discussions within companies, research from the Harvard Business Review highlights several challenges. Fear of being judged or penalized for using AI, lack of psychological safety to share and experiment with AI, and bias in performance evaluations signaling AI use are some common obstacles.
To overcome these obstacles, structured programs like '30 Days of GPT' or company-wide hackathons can foster psychological safety and reduce skepticism by showing how AI benefits all skill levels. Companies may also need to normalize AI conversations by creating a culture that supports experimentation and learning.
The study found that about one in five respondents mentioned tactical reasons for their reluctance, such as not wanting to lose their knowledge advantage or fearing additional tasks due to efficiency gains. This suggests that employees may need more training and support to fully embrace AI and its potential benefits.
In summary, while generative AI like ChatGPT delivers real workplace productivity gains, it requires cultural and organizational changes to encourage open dialogue and experimentation. The study found that about 70% of blue-collar workers report productivity boosts from AI, and about 20% are already using generative AI in their roles. However, the study did not find significant productivity increases from the use of generative AI.
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