Navigating Job Loss Anxiety with Your New AI Co-Workers

Corliss
Feb 3
3 min read

AI is reshaping the workplace and job search activities at a rapid pace. According to a recent Pew Research Center article Pew Research Center, 52% of working Americans, which translates into approximately 84 to 85 million people, now have Artificial Intelligence (AI) related job loss anxiety. Because AI has changed job roles, responsibilities, who does what, when, where, and how.

So, what can we do about it? Start by understanding that when AI gets it wrong, a human will still be held accountable. Automation doesn’t eliminate liability—it concentrates it by perpetuating inaccuracies and biases at scale.

The Concern:

AI-related Job-loss anxiety is the concern. Though it is a natural response to the employment uncertainty many Americans are facing. It is getting worse because no one wants to address it. But recognizing this anxiety is the first step forward, towards managing it effectively. Your new AI co-workers are here to stay. Addressing the feelings of Anxiety and coming up with a winning strategy to either keep the jobs we have or develop the skills that help us to become re-employed very quickly is the solution.

AI systems will continue to be deployed at an accelerated rate. That is not going to change. Employees will continue to be displaced without regard for the impact on their lives. This is unlikely to change either.

With minimal standards for quality, compliance, and ethics, good, hardworking people will continue to be pushed out of the workplace prematurely, as AI replaces them. The biggest frustrations are not just being displaced, but also the loss of income, dignity, and the ability to provide for one's family, and the challenge of learning to succeed in this new AI economy.

The Strategy:

As humans-in-the-loop (HITL), we can start the process of winning by understanding the following:

AI didn't cost us our jobs; trusting AI blindly did.
When AI fails, our bosses, the executives, won't blame the algorithm.
Not having a system to evaluate AI performance will become the primary issue.
With regulatory standardization being hindered, how can we minimize ethical, financial, and legal risks associated with AI performance?

In the meantime, becoming the AI human-in-the-loop expert that your company needs is key:

Be the AI Air Traffic Controller (the person who minimizes risk of catastrophe)
- AI issues without HITL oversight are already being flagged in audits
- When we can’t prove competent oversight, negligence will be alleged

Final Thoughts:

If your AI co-worker can't explain how it made the errors, it's making. Learn how to explain it, and tie unreviewed AI inconsistencies to documentation, medical coding, billing, reimbursement, and financial risks.

Demonstrate, as the HITL expert, that you have the proficient skill level to convert AI liabilities into assets. Using your critical thinking and creative problem-solving talents to do what AI is incapable of doing!

Because every AI system being deployed and used without human-in-the-loop oversight is flying blind, FedScoop | AI Governance.

Issue resolution management (IRM) combined with achieving client success metrics will always be a winning strategy.

You can become the AI Audit defensibility infrastructure the company is seeking!

About the Author

Corliss Collins, BSHIM, RHIT, CRCR, CCA, CAIMC, CAIP, CSM, CBCS, CPDC, serves as the Principal and Managing AI Consultant at P3 Quality™, a Healthcare Tech company specializing in Epic and Cerner AI for Revenue Cycle research, development, and issue resolution management. She also serves as a subject-matter expert and a member of the Volunteer Education Committee at the American Institute of Healthcare Compliance (AIHC). She is a Member of the Professional Women's Network Board (PWN).

Disclosures/Disclaimers:

Navigating Job Loss Anxiety with Your New AI Co-Workers. This analysis draws on research, trends, and innovations in AI for Revenue Cycle Management (RCM). Some of the blog content is generated by AI. Reasonable efforts have been made to ensure the validity of all materials and the consequences of their use. If any copyrighted material has not been appropriately acknowledged, use the contact page to notify us so we can make the necessary updates