For mission-based publishers, AI is not just another technology trend. It touches the very things that make this segment distinctive: trusted authorship, theological integrity, close reader relationships, and a responsibility to serve communities rather than simply chase attention and dollars. That makes AI both promising and sensitive for mission-based publishers.
The Opportunity
Many mission publishers operate with lean teams, complex lists, and long backlists. AI helps teams work more productively without reducing the gravitas. This is true in many areas of the company, from editorial and marketing, rights and licensing, customer service and operations.
However, for mission publishers, the biggest promise may not be efficiency. It may be reach. They should begin with vocation. This was the basis of Jason Malec’s June 2026 presentation to the Association of Catholic Publishers, on the question of using AI in mission=based publishing. The question is not simply “What can AI do?” but “What kind of publishers will we become as we use it?” Malec’s broader work around AI and values-aligned technology points to this important issue for faith-based publishers: AI does not merely answer questions; it mediates meaning. If a tool is used for Bible study, spiritual advice, or theological education, the publisher must ask whose lens is embedded in the answer.
AI is a perfect tool to extend the life of content into more languages, formats, reading levels, and ministry contexts. A backlist title that once sat quietly in the database might become discoverable as a devotional series, small-group resource, pastoral training aid, children’s adaptation, rights opportunity, or licensed opportunities. In that sense, AI can support the mission, not by replacing human judgment, but by helping good content travel farther.
The Risks
The risks are equally serious. The first is trust. Readers come to mission publishers because they expect theological care, editorial discipline, and alignment with a particular tradition or worldview. If AI-generated material is published without human oversight, or if AI tools introduce errors, fabricated citations, insensitive language, or worse, the damage is not merely reputational. It undermines the publisher’s relationship with their trusting partners.
The second risk is authorship and transparency. Publishers need policies that distinguish between AI-assisted work and AI-generated work. Using AI to brainstorm subject lines or summarize sales data is very different from asking it to draft a chapter, create a devotional, or translate Scripture commentary. Partners and readers increasingly expect discipline and transparency. Who created the work? What tools were used? Was it reviewed by a human expert? What is being disclosed internally, and publicly?
The third risk is rights leakage. Mission publishers often hold valuable copyrighted content such as theology, Bible studies, devotionals, pastoral resources, children’s content, and denominational materials. That content is attractive to AI companies because it is structured, authoritative, and values-specific. But if publishers license content without proper controls, they lose visibility into usage, weaken author relationships, or give away long-term value. A useful framework for AI licensing asks all the “c’s” – consent, compensation, controls, credit, clarity, and confidence. In plain terms: publishers and authors should know what content is being used, by whom, for what purpose, under what limits, with what attribution, and who gets paid.
The fourth risk is operational chaos. AI cannot fix disconnected systems. If rights data lives in one spreadsheet, royalty terms in another, author information in email, metadata in a separate database, and sales history in yet another system, AI will simply expose the fragmentation. It may produce faster answers, but probably not reliable ones. Mission publishers should therefore treat AI adoption as a data and process issue, not just a tool-selection issue. The more connected the publisher’s rights, contracts, royalties, metadata, editorial, production, finance, subscriptions, and customer data are, the more useful and accountable AI can become.
Governance Before Experimentation
The practical path forward is neither fear nor hype. Mission publishers should begin with governance. Define acceptable and unacceptable uses of AI. Create author and contributor disclosure language. Review contracts for AI rights, derivative uses, translation, audio, and licensing. Decide beforehand when human theological or editorial review is mandatory. Establish rules for entering confidential manuscripts, contracts, donor data, or customer information into AI tools. Create a cross-functional group that includes editorial, rights, legal, marketing, technology, and finance. AI decisions should not sit just with IT or marketing.
Then publishers should experiment where the risk is lower and the value is visible. Areas such as metadata enhancement, market research, internal search, sales analysis, campaign drafts, meeting summaries, rights discovery, and customer-service support are often safer starting points than theology-sensitive content. Over time, publishers can move toward more strategic uses: backlist mining, content licensing, learning pathways, and AI-supported discovery.
Mission-based publishers can lead this conversation because their constraints are strengths. They already understand stewardship. They already value trusted voices. And they already know that content is not just “data”; it carries meaning, authority, and responsibility. AI will test the systems, policies, and convictions behind the mission. The publishers that thrive will be those that combine boldness with caution, are willing to use AI to extend their mission, and organized enough to make technology serve trust rather than erode it.