You have likely heard of generative AI, GPTs, and bots — tools that have quickly become prevalent in our digital landscape. Perhaps you have used ChatGPT to spark ideas for a sermon illustration or chatted with a religious Character.ai like the John Calvin bot to explore insights into Reformation theology.

Now a new wave of artificial intelligence is breaking: the agentic revolution.

In January, the news media reported that AI agents had created their own religion called Crustafarianism. This Moltbot incident caused waves of public concern and revealed that these tools are already making a significant splash — with potential religious implications. Although the creation of Crustafarianism was later shown to be a simulation primed by users’ prompts, it sparked fears that AI was beginning to move beyond human control and into the realm of religion.

Leaders are increasingly being called on by their congregations to provide advice and spiritual discernment about these tools. However, for leaders to provide guidance and assess when to use these technologies, they must first understand them.

What is agentic AI?

To navigate this future, we must distinguish between the tools we have come to know and the ones arriving now.

Generative AI, which rose to prominence over the last few years with tools such as ChatGPT and CoPilot, focuses on creating content — text, images or code — in response to user requests or prompts. It is defined by being generative and reactive. These tools respond to specific instructions to solve a task, much like a digital secretary awaiting a prompt.

Agentic AI, by contrast, might be thought of as a shift from writing to project management. While generative AI requires a human to input a prompt or ask it a question at each step, agentic AI can perform multistep reasoning and complete tasks on its own. It is defined by being automated and proactive.

AI agents, such as AgentGPT, Lindy or OpenClaw can make decisions, suggest plans and use external tools to achieve complex goals without continuous human direction.

For example, while a GPT (which stands for Generative Pre-trained Transformer) might draft an email, an agent with access to your email inbox can autonomously prioritize messages, write drafts and coordinate responses across different platforms. It seeks out the tools it needs to finish the job based on the permissions it is given.

Why the rise of agentic AI matters for religious leaders

It’s easy to feel overwhelmed by the rapid pace of technological developments. Yet ignoring such a shift is a disregard of pastoral duty that leaves a congregation navigating the new AI wilderness without a compass.

This transition from generative to agentic AI is reshaping how organizations view AI, structure their work and manage risk.

For a pastor, the difference is profound: Current generative AI helps you write a book summary or turn some notes into a newsletter. Agentic AI can not only plan an entire outreach campaign but also set up and manage all email communication for it. It can coordinate a disaster-relief response to a local crisis that recruits and schedules volunteers online without constant prompting.

Instead of a human using a bot to write committee reminders and then send them, an agent can personalize those emails, remind members of specific assignments, and report back on who has acknowledged them. This shifts AI engagement from performing tasks to creating new systems capable of planning and executing. This represents a fundamental change in how the church’s business is conducted.

Agentic AI’s promise: potential uses and impacts

The primary promise this AI offers congregations is reclaiming time and helping to shift staff focus from logistics to ministry. It enables leaders to automate administrative tasks that can become a stumbling block to serving others.

Agents can manage tedious operations such as creating bulletins, identifying facility issues or booking repairs with preapproved vendors.

It can also create pathways for proactive pastoring. AI agents can monitor people’s engagement patterns — such as a sudden drop in giving or missed services — and alert a pastor that a family may need someone to check on their welfare. It can even be leveraged to create new platforms for discipleship.

One example might be using an agent to design personalized “spiritual formation plans” that provide prayers, readings and resources tailored to the needs and struggles of members’ life stages, such as new parenthood, the empty nest or dealing with a death in the family.

Ethical and moral challenges of agentic AI

Yet giving AI more autonomy can also bring risks. Beyond hallucinations (AI fabricating facts), leaders must consider the theological implications of these tools, especially if they are employed in spiritual disciplines.

Since most AI models are trained on secular data, an agent might offer pastoral advice based more on pop psychology than spiritual teachings, or business advice focused more on generating productivity than building community.

This also raises important questions about setting limits on the digital surveillance of members’ data and activities. Agents used to predict pastoral needs may make members feel watched rather than cared for, potentially eroding community trust so essential in church life.

The shift from generative to agentic AI is a move from tools that talk to tools that act. Engaging with a John Calvin bot might offer pastors some interesting sermon illustrations. However, using an agent like a Moltbot to write a sermon may produce a homily with equal parts mix-and-match theology and secular self-help ideas, unless it is given highly detailed instructions and boundaries for the task.

Leaders must become aware of and understand these new tools to ensure that proactive agents are directed to serve the church’s mission without compromising its heart.