The Aging Workforce and AI’s Role in Combating Age Bias, According to Tim Sackett, SCP 🟦

In a recent LinkedIn post, Tim Sackett, SCP 🟦 discusses the significant trend of an aging workforce and its implications for hiring practices, particularly concerning age bias in high-volume roles. Sackett, a recognized expert in talent strategy, highlights how the average age of new hires has increased and urges organizations to confront inherent biases.

The Shifting Demographics of the Workforce

Tim Sackett, SCP 🟦 opens his post by pointing out a seemingly “outrageous” statistic: the average age of a new hire has risen significantly. This observation leads him to several key conclusions about the modern labor market.

“We have a rapidly aging workforce!”

As Sackett, SCP 🟦 elaborates, this demographic shift means that “new hire” does not necessarily equate to “entry-level hire.” This distinction is crucial for understanding the evolving composition of teams and the experience levels entering organizations. He emphasizes that companies must recognize this reality to adapt their recruitment and onboarding strategies effectively.

Addressing Age Bias in High-Volume Hiring

A core concern raised by Sackett, SCP 🟦 is the prevalence of age bias, especially in roles that have high hiring volumes. He argues that this bias is often unconscious but can significantly hinder a company’s ability to build diverse and experienced teams.

“If we are hiring for High-Volume roles, the biggest bias we have is around age! And we need to combat that!”

Sackett, SCP 🟦 suggests that combating this bias requires a proactive and systematic approach. He points out that simply being aware of the issue is not enough; organizations must implement strategies to mitigate its impact on the hiring process.

The Potential of AI in Mitigating Bias

In addressing how to combat age bias, Tim Sackett, SCP 🟦 proposes that Artificial Intelligence (AI) can play a pivotal role. He advocates for the use of AI-powered tools in the initial stages of the application process to ensure fairness and equity.

“Using AI conversational apply from tools like Paradox, A Workday Company, and AI apply – allows every applicant regardless of age a fair entry into your process!”

According to Sackett, SCP 🟦, AI can help level the playing field by providing a consistent and unbiased initial screening mechanism. This allows all candidates, irrespective of their age, to enter the hiring pipeline on equal footing. He believes this is a critical step in overcoming the inherent biases that can creep into human-led screening processes.

The Role of Data and Coaching

While AI can address initial entry points, Sackett, SCP 🟦 stresses that the responsibility doesn’t end there. He highlights the importance of ongoing monitoring and human intervention to ensure long-term success in mitigating age bias.

“After that, it’s on us to track the data and coach the hiring managers who are making age-related hiring decisions!”

In Sackett’s view, organizations must establish robust systems for tracking hiring data to identify patterns related to age. This data should then be used to provide targeted coaching to hiring managers. By educating managers and holding them accountable for their decisions, companies can foster a more inclusive hiring culture that values experience and potential over age.