On Friday, May 22, I posted a 'Plea to the Laid-off' on LinkedIn, leveraging my voice as a former Googler. With tremendous support from the community, I got 27 inbound calls in 24 hours & received a small Rapid Grant from BlueDot to fund the post as a Linkedin ad for 12 days.

Note: While I’ve been funded by Coefficient Giving for my EA SF efforts, this specific project was on my own accord and outside my grant period.

Some stats from the article (as of June 2, 12 days post)

• 2.2k views
• 423 social engagements (269 reactions)
• 118k Impressions (# of times content appears in front of a user’s screen)
• 105 saves & 8 sends
• 120 followers gained (and about that many connection requests)

Actual engagement

• 27 inbound calls
• 13 airtable intake submissions (after removing my calendar after Day 1)
• ~10 Linkedin messages w/ varying degrees of engagement
• BlueDot/80k/AI in Context Re-directs: ?
  • Lesson: Link tracking is your friend

Sankey of airtable and real-time coaching calls

I categorized people into various stages:

• 1 - No background of AIS
• 1.5 - Adjacent background (but not quite GCR/AIS) incl. Trust & Safety, Philosophy & Ethics
• 2 - Read an AIS book (The Alignment Problem, Superintelligence), 80k article, or video
• 3 - Applied to BlueDot
• 4- Applied to 80k roles

Due to no shows & cancellations & future calls, I have had ~11/27 calls so far. We’ll cap this as the pilot scope. 12 of these are sitting in the Airtable intake form as my capacity calibrates for impact. 

Expectations vs Reality

I expected to be having conversations with people in Stage 2,  people who are fully AIS-pilled. From here, I can work with their convictions and guide them to the next steps, weed out the good-fit signal from the noise: programs/fellowships to pursue, local community engagement, pathways discussions, or warm introductions.

Instead, many of the calls entailed introductions or calibrations to the AI Safety field overall.

• Lesson: Intake forms sooner would have helped filter & sharpen my audience.

This became an experiment that took a different angle. I got to interact with people who haven't yet found an on-ramp through BlueDot, Successif, or SteadRise. People at varying stages of readiness for the AIS ecosystem, but people we desperately need to engage in order to influence policy and public will (i.e., the upcoming Alex Bores Democratic Primary in NYC).

• High Impact Plug: Have you reached out to your friend in NYC to get their vote in a neck-and-neck race for June 23?

Observation 1: What even IS AI Safety?

Many people came into the call with either their own perspective on AI Safety or a general understanding that AI could cause harm.

• Specifically, individuals from a T&S background came into calls with an understanding that was an extrapolation of T&S.

“AI safety is this — two lenses to that, right? How users would abuse AI, and how AI internally would generate content that is non-compliant…”

“For example, let's say I generate a creative and … somehow I have introduced some form of a resemblance to some satanic symbols... and motivating people towards some sort of a cult — then it could be a safety issue”

“I'm a dad, and…I had read about this story of a teenager committing suicide. And it broke my heart. So that being said, how can we do a better job to kind of capture the harms or failure modes that these models create?"

I think it’s hard to get someone AIS-pilled (to the level of conviction hiring organizations may want) without a longtermist/EA lens.

Making the case for GCR is really similar to making the case for EA cost-effectiveness. Asking someone to consider longer-term sci-fi-esque intangible outcomes as opposed to the issues that AI is posing now and soon (job displacement, T&S).

Observation 2: Paradox of Choice -  AIS resource guides are too much for a low-context individual to navigate.

In my guide, I’ve linked resources; while walking a technical SWE through potential destinations in AIS, I pulled up the guide and realized that it is indeed too much information for a low-context individual to navigate without insight into what the journey actually looks like.

So, I ended up creating my own as a conversation piece/framework with the caveat that research is competitive but everything else is desperately needed!   

On another call, I was talking to a senior Product professional on potential outcomes and navigated to the 80k job board, filtered by Seniority level, and realized that this is also difficult for a new individual to navigate and find relevant information/prospects.

Lesson: We can’t just send people guides or job boards: understanding the field & potential outcomes/destinations appears to require high-context guidance.

Outcomes & Impact

Like the value of an EAG, it only takes a few impactful ones to make it worth it.

From these calls, I came away with:

2 Bronze tier individuals: Keep in touch as opportunities arise.

• One is a Business Systems early professional - a role I see openings for at MATS or Constellation somewhat consistently. I think there would be a lower bar to entry for them to find a role in the ecosystem.
• One is a parent with a philosophy background working on their own AI evaluations. They could be an interesting candidate for AIS incubators.

1 Silver tier individual: Online check-in

I had the gracious Jonathan Calenzani (EA NYC Organizer) included on the call for an NYC-based individual. This individual got plugged into events at the Collider. I may reach out to check in on how they’re doing next month.

"... money is not really the most important thing anymore. And I do want to do something that's a little bit more fulfilling, maybe doing something that's a little bit more for the common good, hopefully."

"I know obviously I have a pretty robust background in data science but I know this is a different kind of role too. So it doesn't kind of automatically make me qualified. I'm also thinking about how to sort of frame my experience."

2 Gold tier: Monthly check-ins and active coaching

My follow up emails. 

To a Berkeley-based self-motivated Senior individual in Stage 2:

To a London-based individual in Stage 4:

Some conclusions, hypotheses, and questions I don’t have answers to:

Mission Alignment & Longtermist Thinking

• Resonating with EA principles significantly increases an individual’s likelihood of AIS mission alignment.
  • Alternative ways to attain mission alignment without resonating with EA: parenthood, self-motivated interest in AIS books.
• In which roles is mission alignment absolutely critical vs in which roles is it a nice-to-have?
  • Ranking: Research - Policy - Program Management - Hard Ops/Systems
  • Interestingly, this ranking somewhat mirrors talent scarcity in each track.
  • If someone is highly skilled and generally cares, do they have to be GCR-pilled in order to have a place in the AIS ecosystem?

Value of 1-1 Conversations & Coaching

• How valuable is it to have an AIS conversation with an individual where the outcome is passive interest/awareness?
  • Perhaps this sector should mainly be reached by scaled initiatives like Frame Fellowship content, not 1-1 conversations.
• Is there a need for regular monthly coaching for people in-between fellowships and roles? Between BlueDot and tangible impact?
  • Successif, Steadrise, and other coaching outlets appear to be at limited capacity with specific intake criteria.

Talent ecosystem & user journey needs help

• Generalists in the AIS ecosystem remain confused about where they fit.
  • Even technical individuals are confused. There is not a like-for-like for “here is what your job title was in Tech” & “here is what your job title is in AIS”.
  • First, there's the friction of getting up to speed on the field, then there's the separate friction of figuring out where you actually fit.
• What indeed is the impactful place for an individual with a Trust & Safety background? These individuals are indeed mission-driven and close to the technology. Perhaps Policy?

Additional resources I’ve found helpful for understanding the talent ecosystem 

• AI Safety's Biggest Talent Gap Isn't Researchers. It's Generalists
• AI Safety's Talent Pipeline is Over-optimised for Researchers
• AI Safety Talent Needs in 2026: Insights for Field-Building Organizations
• Talent Constraints in AI Safety: What We Know and What We Don't