3/10/2025
The American corporate system is driven by one’s productivity. Often referred to as the corporate ladder, individuals race to become the best in their respective industries. Reaching the top is no simple feat. It requires relentless effort and long hours, frequently at the cost of an individual’s mental and physical well-being. A study by Moodle, an open-source Learning Management System (LMS), found that 66% of American employees are facing some sort of burnout.
Artificial intelligence (AI) has the potential to reduce employee burnout by streamlining workflows and optimizing resources through automation, data analysis, improved communication, and personalization. By 2030, it is estimated that the integration of advanced technologies, particularly AI and information processing, will increase by 86%. Current surveys show that employees are already utilizing some form of AI in the workplace, with over 50% of American employees using it to complete mandatory training and 20–40% using AI to complete daily tasks.
A new form of AI will only further the technology’s use in corporate America: AI teammates. These virtual assistants help accelerate productivity, amplify creativity, and reduce workload. They will manage mundane operational work, allowing humans to take care of more complex and time-intensive tasks. The engineering and healthcare sectors are currently undergoing the process of embedding these AI teammates into their workforce.
Engineers tackle complex projects under tight deadlines to develop innovations that profoundly impact society. In many cases, onboarding additional engineers is seen as costly and inefficient. As a result, remaining team members take on greater responsibility and pressure, often leading to burnout. Utilizing AI teammates is viewed as the best solution to this issue, as it automates routine tasks, improves incident management, facilitates self-service, enhances resource allocation, and bridges knowledge gaps, all of which allow large-scale projects to be managed by a smaller team.
In healthcare, AI teammates are increasingly seen as valuable assistants to clinicians. They leverage real-time patient tracking data and medical history to suggest informed decisions. These semi-autonomous systems help ensure continuous patient care, allowing healthcare workers to focus on critical emergencies.
While AI teammates hold great promise in terms of boosting productivity and reducing burnout, it is critical to understand their larger impact. Although the technology was made to assist humans, its implementation has resulted in smaller workforces, reducing job opportunities across many sectors. In addition to job loss, the integration of AI teammates has revealed that current regulations for their use in fields related to public safety and data privacy are largely unclear. This makes cybersecurity a massive issue as AI systems handle sensitive information and are responsible for critical decision-making processes. Before integrating these technologies on a larger scale, a clear framework or set of guidelines must be established to ensure they serve the greater good rather than merely maximizing corporate profits at the expense of public well-being.