The increasing use of artificial intelligence in the workplace has led to a surprising finding: while AI can make workers faster, it doesn't necessarily translate to increased productivity. In fact, a recent survey by Upwork found that nearly 80% of workers using generative AI reported that it added to their workload and hampered their productivity.
One of the main reasons for this is that workers are spending more time reviewing or moderating AI-generated content and learning how to use AI tools. This increased workload can lead to frustration and burnout, particularly when employees are unsure how AI tools can improve their work. According to the survey, 47% of employees are unclear about the benefits of AI, which can exacerbate the problem.
The lack of training and unclear expectations are also significant contributors to the productivity slump. Only a quarter of companies have AI training programs, and just 13% have strategies to achieve productivity gains. Without proper training and guidance, employees are left to figure things out on their own, which can be time-consuming and inefficient.
Experts suggest that companies can mitigate these issues by providing clear guidance on how to use AI tools, offering real-world examples of AI applications, and giving employees space to learn. Fostering a culture of feedback is also crucial, where employees feel encouraged to share their concerns and ideas for improving AI implementation.
Ultimately, the impact of AI on productivity will vary across industries and job roles. While AI can automate routine tasks and enhance decision-making, it also requires significant investment in training and infrastructure. As companies continue to adopt AI solutions, they must prioritize employee upskilling and develop strategies to maximize the benefits of AI while minimizing its drawbacks.
