How AI is Changing Workforce Requirements
How AI is Changing Workforce Requirements
AI is shifting the workforce from manual creation to curation, direction, and high-level judgment. Rather than wholesale job elimination, organizations are augmenting roles, redesigning daily workflows, and reducing entry-level hiring, which requires employees to continuously learn and adapt. Workers act less as creators from scratch and more as directors and reviewers of AI outputs, digital agents, and co-pilots.
Experiential Workplace Learning
Development, Workforce
& Strategy consultant
Many employers increasingly expect workers to acquire AI skills through hands-on experience, mentorship, and self-directed learning. Ted Abernathy, Founder and Managing Partner of Economic Leadership, an economic development and strategic planning consultancy, referred to this as “the YouTube model,” suggesting that experiential workplace learning is the most likely path forward, with a small percentage involved in classroom-style training.
“Experiential workplace learning is the best learning anyway, and that’s the way they’re going to learn this, so companies need to set those very clear rules, regulations, and expectations for their employees,” Abernathy said.
At the same time, organizations are increasingly focused on establishing guidelines and regulations for employees surrounding the use of AI. AI is in its infancy and is still capable of errors, such as pulling data from unreliable sources. Therefore, it is important to maintain a record of where and when AI was used within business processes, and check every piece of data for accuracy and completeness.
“What it does is aggregate information that is already there, and some of that’s not right, hasn’t been vetted, hasn’t been authenticated,” Abernathy said. “So, companies need to set parameters for how they would accept AI use and they need to set rules, but they also need to set expectations.”
As organizations adopt AI tools, clear policies become essential not only for risk management but also for building confidence in AI-driven business processes and maintaining customer trust.