The adoption of generative artificial intelligence (AI) tools among employees is on the rise, but there’s a hesitancy among workers to openly acknowledge their use, according to new data.
A recent Work Trend Index Annual Report, jointly released by Microsoft and LinkedIn, reveals a significant uptick in the use of GenAI tools like ChatGPT among knowledge workers worldwide. In just the past six months, usage has nearly doubled, with 75% of respondents admitting to using such tools.
However, despite the widespread adoption, a majority of users (52%) are reluctant to disclose their use for important tasks. Additionally, 53% express concerns that relying on AI for critical tasks may make them appear dispensable.
Interestingly, the trend of “bring-your-own-AI” (BYOAI) is not limited to younger generations. Workers across all age groups are embracing this trend, with Gen Z, millennials, Gen X, and even baby boomers contributing to the growing use of AI tools in the workplace.
The surge in AI adoption is primarily driven by its time-saving benefits, as reported by 90% of users. However, a significant portion of workers (68%) cite struggling to keep up with the pace and volume of their workload as a key driver.
Despite the efficiency gains, the reluctance to openly discuss AI usage poses a significant risk to company data security. With cybersecurity and data privacy topping the list of leadership concerns, maintaining secrecy around AI use could potentially expose sensitive data to breaches.
Leah Cooper, chief digital officer at Sedgwick, emphasizes the need for employers to address this challenge. As AI becomes increasingly accessible outside the workplace, employees may be tempted to leverage these tools for expedited processes. However, ensuring data security remains paramount, requiring companies to strike a balance between enabling technological advancements and safeguarding sensitive information.
Establishing robust AI governance and security protocols, adaptable to evolving regulations, is essential for protecting company data, mitigating risks, and fostering a culture of responsible AI usage among employees.
