AI Fluency Is Now Essential – But Expertise Still Matters

The integration of ChatGPT, Claude, and similar generative artificial intelligence (AI) tools into everyday work has changed the baseline for professional productivity. Employees who use AI responsibly can research, analyze, draft, and communicate far faster than those who ignore it.

In many roles, competing without AI is becoming increasingly difficult. A professional supported by AI may summarize a regulation, compare contracts, prepare a presentation, draft computer code, and respond to correspondence in the time another employee needs to complete only one of those tasks.

AI Changes the Productivity Baseline

Healthcare organizations should encourage responsible AI use. Revenue cycle, reimbursement, compliance, finance, coding, and health information management (HIM) professionals can use these tools to organize large amounts of information, identify inconsistencies, improve writing, automate repetitive processes, and develop better questions for investigation. Experienced professionals can also use AI to explore unfamiliar issues before consulting the appropriate specialist.

Polished Work is not Necessarily Correct

The same technology that makes knowledgeable employees more productive can make inexperienced employees appear knowledgeable. ChatGPT and Claude can produce confident explanations containing technical terminology, calculations, citations, and recommendations. A staff member with limited understanding of Medicare reimbursement, coding, clinical documentation, statistics, or information technology can therefore create work that looks authoritative.

Appearance is not competence.

AI Should Extend Expertise, not Conceal its Absence

An incorrect interpretation can affect claim submission, coding, payment, patient liability, or regulatory compliance.

AI should help qualified employees work faster and examine more possibilities. It should not authorize unqualified employees to make decisions outside the scope of their training, credentials, or assigned authority.

Verification is the New Core Competency

A general AI policy is not enough. Managers should identify which tasks may be performed with AI assistance, which conclusions require independent verification, and which decisions must remain under the control of experienced or credentialed professionals. Employees should retain primary sources, document important assumptions, check calculations, and disclose meaningful AI use.

Organizations also need firm rules for protected health information, confidential business information, attorney-client communications, and proprietary data. Information should not be entered into an AI system unless the organization has approved the platform and confirmed that appropriate privacy, security, and contractual protections are in place.

Training should emphasize verification, not merely prompting. Employees must learn how to test citations, compare AI answers with primary authorities, identify omitted facts, challenge assumptions, and recognize when a question exceeds their knowledge. Supervisors should evaluate the reasoning and evidence behind the work, not merely the polish of the final product.

The Competitive Professional

AI will not eliminate the need for expertise. It will make genuine expertise more valuable, because experts are best positioned to recognize when the AI is wrong. The competitive employee of the future will be neither the person who avoids AI nor the person who blindly accepts its answers. It will be the professional who combines AI’s speed with experience, skepticism, accountability, and judgment. In healthcare, that distinction may determine whether AI becomes a powerful productivity tool or merely a faster way to make expensive mistakes.