Will AI Replace Medical Writers? What AMWA's New AI Position Statement Means for the Next Generation

Short answer: No. The American Medical Writers Association (AMWA) is clear about this in its new Position Statement on the Use of Artificial Intelligence in Medical Communication, approved by its Board of Directors on October 16, 2026. AI tools can support medical communication, but they can't replace the judgment, expertise, and accountability of the professionals who use them.

That answer has a consequence I don't think gets enough attention. If human judgment remains the standard, the profession needs a steady supply of people developing that judgment. AI doesn't reduce the need for new medical writers coming up through the field. It raises the bar for how we prepare them.

What does AMWA's AI position statement say?

AMWA builds its position around four commitments that apply to all AI-assisted medical communication:

1. People are responsible, not tools. In AMWA's words, "Responsibility for the content rests with people, not AI tools."
2. Disclose AI use as appropriate for the document type and in line with applicable guidelines.
3. Professional standards apply in full to AI-assisted work, including the duty to verify.
4. Responsible AI use is itself a professional skill, and AMWA commits to helping medical communicators build it.

The statement then explains what these commitments mean in practice, covering accountability and human oversight, transparency and disclosure, accuracy and verification, confidentiality and data protection, authorship, bias, intellectual property, AI literacy, and organizational quality systems. It's designed to complement AMWA's Code of Ethics, and AMWA plans to update it as technology and regulation evolve.

One detail I appreciated: in the acknowledgments, the writing team disclosed that they used Claude to help develop an initial draft and Copilot for text editing during review. The Board then reviewed, edited, and approved the final statement. That's the principle in action. AI helped, people stayed accountable, and the use was disclosed.

What does the "duty to verify" mean day to day?

If you've worked in regulatory writing, much of this will sound familiar, because it's how we already work. What's new is a clear professional standard for applying it when AI is part of the workflow:

• Defend every claim. You should be able to stand behind every statement and recommendation in the documents you contribute to. That responsibility can't be handed off to an algorithm, a software vendor, or an employer's AI policy.
• Check AI output against primary sources. AI can produce output that sounds right and isn't, so verification before finalization is not optional.
• Protect confidential information. Don't enter confidential material into an AI tool unless you've confirmed it meets your legal, contractual, and ethical obligations. Know the tool's data-retention and model-training policies, and ask your client or employer before processing sensitive material.
• Make bias review a deliberate step. AMWA recommends treating bias mitigation as a documented part of AI-assisted work, rather than assuming routine review will catch everything.
• Never list AI as an author. AI tools can't meet authorship criteria or be held accountable, so they shouldn't be named as authors, co-authors, or contributors.

In regulated work, these aren't abstract principles. A protocol, clinical study report, or submission document is only as trustworthy as the person who can explain and defend it.

Why does this mean we still need new medical writers?

Here's the part I want to emphasize. Judgment isn't installed. It's developed. Medical writers learn to spot an inconsistent number, a conclusion that goes beyond the data, or the gap a reviewer will find through years of practice, feedback, and mentorship.

Much of that learning has traditionally happened in early-career work: drafting sections, QC-ing tables, reconciling data across documents, and getting redlines back from a senior writer. As AI takes on more first-draft work, it's fair to ask where the next generation will build the judgment that AMWA says can't be delegated.

I don't think the answer is to keep new writers away from AI, or to stop bringing them into the field. The answer is to be intentional about how we develop them. AMWA's statement points in the same direction. It calls responsible AI use an emerging professional competency, and it notes that medical communicators in leadership and quality assurance roles are well positioned to design AI workflows with clear points of human oversight.

The leaders and quality reviewers of the next decade are today's early-career writers. If we don't invest in them now, we won't have the experienced professionals that AI-assisted workflows depend on later.

The future isn't fewer experts. It's better-equipped experts, and they have to come from somewhere.

What skills should aspiring medical writers build now?

If you're entering the field or thinking about it, AMWA's statement is a useful roadmap. I'd focus on:

• Scientific and regulatory foundations. AMWA is explicit that AI can't replace scientific knowledge, regulatory expertise, or therapeutic-area understanding.
• Critical appraisal and verification. Learn to check claims against source data and primary references, and to explain why something is right.
• AI literacy. Know what AI tools can and can't do, how to use them responsibly, and how to critically review their output.
• Confidentiality and data handling. Understand what can and can't go into a tool, and ask before you assume.
• Disclosure practices. Know when and how to describe your AI use to clients, employers, journals, and regulators.
• Quality systems thinking. Following SOPs, documenting your work, and understanding traceability are what make AI-assisted work defensible.

How is Writivate preparing the next generation?

This is why we built AI literacy into the Writivate Pre-Apprenticeship from the start, rather than treating it as an add-on. The program is designed to prepare participants to pursue Registered Apprenticeships, internships, and entry-level roles in medical and regulatory writing and related life-sciences fields.

The curriculum pairs responsible, human-in-the-loop AI use with scientific literacy, regulatory and quality readiness, and SOP fluency. One sample capstone deliverable asks participants to complete an AI-assisted communication assignment and then critically review the AI output, so they practice the duty to verify from day one.

The program was developed with support from a Massachusetts Division of Apprentice Standards GROW grant, and we're now accepting interest for our first cohort. Join the Pre-Apprenticeship interest list.

Frequently asked questions

Does AMWA allow medical writers to use AI? Yes. AMWA's position is that AI can support medical communication when it's used responsibly, with human accountability, verification, appropriate disclosure, and data protection.

Do medical writers have to disclose AI use? AMWA says medical communicators should disclose AI use as appropriate for the document type and applicable guidelines. Effective disclosure is specific about how AI was used, and obligations may extend to clients, employers, collaborators, journals, and regulatory authorities.

Can an AI tool be listed as an author? No. AMWA states that AI tools don't satisfy authorship criteria and shouldn't be listed as authors, co-authors, or contributors.

Is medical writing still worth pursuing? No one can guarantee any career outcome. But AMWA's statement makes clear that the profession's core skills, including scientific knowledge, regulatory expertise, critical appraisal, and quality review, remain essential. Writers who pair those skills with responsible AI use will be better prepared to adapt as the field evolves.

The bottom line

AMWA's position confirms what many of us in regulatory writing already believed: AI can accelerate the work, but people remain responsible for it. That makes the next generation of medical writers more important, not less. Our job is to give them pathways that build both the expertise and the AI judgment the profession depends on.

Read AMWA's full Position Statement on the Use of Artificial Intelligence in Medical Communication.

AI disclosure: This post was drafted with AI assistance and reviewed, edited, and approved by Jeanette Towles.