The Three Pillars: A Theory of Change for Groups (BC #14)

By gergo @ 2026-01-26T11:20 (+26)

Crossposted on Substack.

Introduction

I talk to many (prospective) organisers about strategy for running local and national EA and AI Safety groups, so I thought it would be worth writing down what I see as the core function of these organisations. I will call this the “Three Pillars”, referring to foundational field-building activities that not only produce immediate value but also allow organisers to upskill, so they can build even more impressive projects on top of their baseline activities.

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Overview of the theory of change

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Actions & target audiences

Spreading ideas

This is how you will get new members to your community. The way most groups do this is through running courses, which have a strong track record of introducing people to key ideas, based on which some of them will eventually take significant actions. I say ‘some of whom’ because the distribution of future impact from people who take these courses tends to be quite heavy-tailed, meaning that a small number of people will be responsible for most of the impact. My general base rate is that roughly 1–5 people will eventually transition into EA or AIS work for every 100 people who take an introductory course, depending on how selective you are.[1] 

Accordingly, it makes sense to focus on the most motivated and talented people who participate[2] in your courses, and to otherwise expect most others to slowly fizzle out of your community.[3] I think organisers often feel bad unnecessarily about low retention, or at least I know I have.

Hackathons are also a good way of getting people to engage with your ideas, and it’s possible that on average they attract people who are more ambitious. What’s difficult is that hackathons are more costly to run, especially if you have to rent a venue as well.

Providing support and advice for new and old community members

Speaking of those who are highly motivated, it is crucial that you follow up with people who seem talented and have been seriously engaging with your group’s ideas. I usually ask my course facilitators about whom I should reach out to. Having these 1-1s will be the first step in helping people join your community, so it’s good to be welcoming as well as providing them with useful advice on what to do next. If you come across an opportunity that would be a good fit for them, you should personally encourage them to apply.

It’s also important to keep in touch with your older members. I check on people every 4–6 months, depending on how much time I have and how big a priority I think it is to support them. One mistake I made in the past was assuming that once a community member got into a selective program (or even a job), they had “made it” and my work was finished. You can still provide a lot of value to these people, as they might feel stuck after the program ends or struggle in their supposedly high-impact role.

If you are just about to start a community, the very first thing you want to do is figure out if there are people already at your location who have engaged with AI Safety. The low-hanging fruit here is looking at public databases and writing to CEA’s events team to ask them to send you the names and emails of people who have attended an EAG(x) event from your country and consented to having their information shared. You can also be much more thorough in your search if you want to. Also see this great post on what some of the other checkboxes a new group should try to tick.

Facilitating networking

By now, you have mapped the whole community at your location and have a CRM of people who have consented to have their information stored. You should do your best to connect those with relevant goals and backgrounds so that they can support each other's career transitions. There are a couple of different ways to do this, but otherwise I won’t expand too much on them here:

What shouldn’t serve as a foundational pillar

Things that do not work well

Introductory talks

Many groups do this, and I have done a couple myself. This is a tangible way to expose people to your message, and one can feel a great sense of accomplishment if the talk goes well. Unfortunately, the effort spent organising the event and preparing for the talk is, in most cases, not worth the limited impact it achieves. This is because many people can watch a talk and be inspired by it, but then they will go on to live their lives as usual. I’m not saying you can’t get someone promising to come up to you after the talk, but if you are aiming to attract such people, there are more time- and cost-effective ways to do that.

An improved version of the usual intro talks is a framing where you are explicitly pitching your course, and much of the talk is about why it’s awesome, giving people an explicit call-to-action at the end to sign up. Most of the impact such a talk will achieve is getting people to come to your course. Still, based on the data we currently have about post-talk sign-up rates[4], they are not high enough to justify the effort behind these events.

Potential exceptions

Here are some cases where it could still make sense to do such intro talks:

Introductory calls

To clarify ahead of time, here I’m talking about giving career advice to people who are completely new to EA or AI Safety. You should absolutely provide career advice to those who have engaged with your course.

Some organisations put conscious effort into doing outreach behind their career advice towards people who haven’t really engaged with their content. This is tempting to do as it provides a lower bar for entry compared to asking people to commit to a multi-week course. Similarly to hosting a talk, it’s also quite tangible, so one can proudly mention this in their upcoming report. The problem is that the main value such a discussion provides is getting people to sign up to your intro course afterwards. This is because they will  have to engage with your content more deeply anyway if they are going to eventually transition their career. Unfortunately, most people you talk to this way won’t sign up for your course afterwards, especially if it’s 2+ weeks after you connected.

Exceptions

Organising retreats

I think most local communities shouldn’t prioritise retreats for reasons I outlined in this short post. 

Connecting with Academia

I suspect some organisers will disagree with me on this, but I’m sceptical of the value behind networking with academics who don’t already engage with AI Safety. The promise behind this is that if you can influence a professor to change their research direction towards AI Safety or EA-adjacent topics, that would have a huge impact. And it probably would. The problem is that there are a lot of different incentives pulling these researchers into different directions, such as what they can get funding for, having already committed years to another research direction, where they can publish, academia politics etc. This makes it really hard to counterfactually influence this group.

Another thing one can try to push for is integrating an AIS course into the university curricula. I’m also sceptical of this for the following reasons:

Exceptions

Collaborating with civil society

This is an unfortunate one.

I’m recommending that you stay more inward-focused and prioritise your own programmes rather than trying to co-create initiatives with other NGOs in your city. The reason is simple: most local NGOs are ineffective. If they weren’t, we wouldn’t need EA in the first place.

They also tend to prioritise talent much less than your group does, and there is also often significant inferential distance between you and them.

A concrete example is co-organising hackathons with multiple tracks. Existential risk reduction will usually sound strange or abstract next to something like AI in healthcare. Participants naturally gravitate toward what feels familiar, where they think they have a better chance of doing well or winning a prize. Groups that have tried this kind of setup (including my own) were unhappy with the outcomes.

In principle, you could try to bridge this gap with introductory talks or framing sessions, but I’ve already argued above why those approaches tend not to work well.

Exceptions

Some organisations genuinely optimise for talent. If you can connect with civil society groups that work with talented individuals (e.g. organisations running academic camps for math competition winners) it’s worth exploring whether there’s a way to expose that group to your ideas. I have seen some discussions around outreach to MENSA groups, but I’m not sure any groups have had success with this.

Things that are outside of scope

Many of the projects I list below can be great depending on your network, skills, and location. The reason I don’t see them as part of the foundations is that these take more experience and context to run well. You also already need a strong track record to get funding for them.

Many prospective organisers tell me that they want to run such programs, and I love that they are thinking big! But let’s learn to walk before we start running!

If you are new to fieldbuilding or haven’t done adjacent work, I recommend spending at least half a year doing things that have already been “tried and tested” by the community.

This is to build experience and understanding of the local landscape. I doubt that you will have the same idea about what ambitious project to run after 6 months of organising, compared to when you just started out.

Exception

If you already have a strong track record in fieldbuilding (which people most often get from organising university, city, or national groups), you can start off with a different project instead of doing local CB. A good example of people at Impact Academy, which has already built a strong track record in Sweden before turning their eyes to India to run a highly-selective fieldbuilding program.

On lobbying and advocacy work

This is worth clarifying explicitly, since people running AIS groups often want to do it. Funders such as Coefficient Giving, Kairos, or EAIF don’t consider this kind of work to be fieldbuilding, so you can’t use their money for it. Groups such as LTFF, SFF or Non-linear might fund it, but you want to be explicit about what you are doing, and that it’s not fieldbuilding.

Conclusion

Taken together, the Three Pillars framework describes a way of building capacity over time. Running courses, supporting people as they progress, and facilitating networking reliably produce value while helping organisers develop the skills, judgment, and local context needed for more complex projects later.

Many of the activities discussed above can be impactful in the right circumstances, but they tend to work best once these foundations are in place. If you’re unsure what to prioritise, defaulting to the pillars is a robust starting point that helps you learn what works in your context and what to try next.

Related readings

  1. ^

    Though it’s worth noting that we don’t have robust data on how to do selection well; we only have data on selecting for engaged participants. The latter claim  is from BlueDot, but I couldn’t quickly find the link on their blog.

  2. ^

    I say “participate” instead of “graduate” because sometimes people will drop out who are otherwise really motivated. It’s crucial to follow up with these people in a 1-1 call.

  3. ^

    You will occasionally encounter people who aren’t taking these ideas seriously but are keen to stick around “for the vibes.” Usually these people drop off eventually, but sometimes you’ll need a difficult conversation with them.

  4. ^

    In marketing terms these are called conversion rates, but let’s avoid that label because people are often tempted to paint our communities as cults. (:

  5. ^

    Apart Research is doing this with hackathons already, and it seems to be working well.

  6. ^

    This is just an anecdote, but I heard from someone at a top university that, despite the TAs having a good understanding of x-risks, the course didn’t produce many highly engaged students—the students generally didn’t engage deeply.