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Week 8: Taking Action: Projects and Career Planning
Week 8: Taking Action: Projects and Career Planning
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Week 8: Taking Action: Projects and Career Planning

The AI×Animals future is in your hands. This final session distills all that we have learned over the past seven weeks into a concrete impact plan for you to carry forward after the fellowship. You will develop and receive targeted feedback on your project pitches and career strategies. Together, let’s build better AI futures for all sentient beings.

🧩 Central questions

  1. Major issues: Which specific challenges at the AI×Animals frontier are currently the most important, tractable, and neglected?
  2. Personal fit and synergy: How can individuals from diverse professional backgrounds (tech, policy, science, advocacy, etc.) uniquely leverage their existing expertise to advance positive AI-animal outcomes? What opportunities are there for high-impact transdisciplinary collaboration?
  3. Organizations: Who are the key organizations currently working on these high-stakes, high-leverage issues, and what defines their core strategy?
  4. Gaps and opportunities: Where are the most critical gaps and opportunities in this space?
  5. Resources: What are the most valuable informational resources, funding sources, connections, and events necessary to enter and succeed in this area?

🧭 Learning objectives

  1. Understand: Identify important, tractable, and neglected problems. Map the relevant ecosystem of organizations and stakeholders working on these issues, and pinpoint critical gaps and opportunities.
  2. Assess: Evaluate your own personal fit for working in this area through quick and easy tests for fitness. Identify areas of uncertainty and anticipate backfire risks.
  3. Reason: Apply evidence and principles to build a personalised post-fellowship impact plan (project pitch and/or career strategy).
  4. Next Steps: Execute the first steps of your impact plan. Establish strategic connections, explore leads, and learn more. Leverage the Sentient Futures Slack community for ongoing collaboration and support.
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Use the table of contents on the right to quickly navigate this page.

Resources

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Required readings

Please review all of these resources prior to your session.

There are less required readings this week. Instead, we recommend using this extra time to:

  • Develop your project pitches or career plans in the pre-session exercises
  • Revisit readings and explore the further readings appendices of your favourite sessions from previous weeks
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Estimated time: 1 hour

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We encourage you to spend more time focusing on the readings that most interest you.

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Playback audio and video resources at faster speeds (e.g. 1.25×) to save time.

It’s up to you

Become a Person Who Actually Does Things

Neel Nanda (2021) | 5 min read (5 min audio available)

The hardest thing about solving the world's problems is realizing there are no grown-ups in the room who will fix them. To be agentic is to be the opposite of a bystander.

For more on agency, check out 💼Week 8: Taking Action: Projects and Career Planning - Sustainably motivated: A healthy mindset in the further readings appendix.

Rowing, Steering, Anchoring, Equity, Mutiny

Holden Karnofsky (2021) | 22 min read (22 min audio available)

Imagine the world is a ship. How do we get the ship where it needs to be? Where even should we be going? Much like crewing a ship, there are different ways to make the world a better place, every one of which serves a unique function on the journey:
  1. Rowing: Accelerating progress on the current trajectory (e.g. scientific or technological research)
  2. Steering: Determining the destination and how to get there (e.g. macrostrategy, philosophy)
  3. Anchoring: Maintaining stability (e.g. defending key political institutions).
  4. Equity: Cultivating more fair and just relations among all on board (e.g. advocating for minorities)
  5. Mutiny: Challenging the ship’s fundamental systems and power structures (e.g. political, economic, or otherwise structural/systemic critique)

But proceed with caution

Ways People Trying to Do Good Accidentally Make Things Worse, and How to Avoid Them

Robert Wiblin and Benjamin Todd (2023) | 28 min read (26 min audio available)

The road to hell is paved with good intentions. This 80,000 Hours article outlines 7 guiding principles to mitigate backfire risks – making it more likely that your net impact will be positive – and helping you stay on the right path:
  1. Exclude options with severe downsides
  2. Consider multiple perspectives
  3. Practice intellectual humility
  4. Develop relevant expertise
  5. Match expertise to project difficulty
  6. Don’t naïvely optimize a limited set of metrics while ignoring implications in other areas
  7. Don’t make irreversible decisions without high confidence in the outcome

See also Max Dalton and Jonas Vollmer’s talk How to Avoid Accidentally Having a Negative Impact with Your Project.

Sentient Futures

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Join our topic channels to continue the conversation after the fellowship and meet collaborators!

#t-ai-values

#t-artificial-sentience

#t-farmed-animals

#t-genetics

#t-interspecies-communication

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#04-tools-resources

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#06-looking-for-work

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Our Substack is the best way to stay on top of high-impact opportunities related to the AI/animals intersection – as well as be the first to know about future fellowships, conferences, and other programs.

Recently, we’ve shared:

  • Scientific researcher openings at the Animal Pain Research Institute
  • Grad and postgrad positions at Walter Veit’s new lab at the University of Reading
  • A scholarship supporting technological innovation for farmed animal welfare

Upcoming networking events

Connect with other fellows from the first-ever AI×Animals cohort.
Connect with other fellows from the first-ever AI×Animals cohort.
Come meet and network with members of the broader Sentient Futures community. This social takes place right after the fellowship-only event.
Come meet and network with members of the broader Sentient Futures community. This social takes place right after the fellowship-only event.

The Sentient Futures Summit (Luma)

SFS Bay Area | Feb 6-8th — Sentient Futures

Join us for a 3 day conference exploring technological progress for sentient nonhumans , including both biological and artificial.

www.sentientfutures.ai

SFS Bay Area | Feb 6-8th — Sentient Futures
A 3-day conference convening visionary thinkers and doers from academia, industry, advocacy, and beyond. The Sentient Futures Summit is a unique opportunity to learn about cutting edge issues at the frontier of nonhuman sentience and welfare and connect with collaborators.
  • Cowork with the Sentient Futures team in our office after the conference in the week leading up to EAG.
  • Fellows are eligible for 40% off tickets (see promo code in Slack and session docs). You can also apply to speak, volunteer, or receive a scholarship.
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Further readings (optional)

Even more resources to be added later– check back soon!

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Choosing a focus area

Want to Do Good? Here’s How to Choose an Area to Focus On.

Benjamin Todd (2023)

There are so many problems in the world. How to decide which to work on? This article lays out a guiding framework based on four features:
  1. Importance: The issue affects many individuals.
  2. Tractability: It’s plausible that we can make good progress on solving this issue.
  3. Neglectedness: There are few other organizations or individuals working on this issue.
  4. Personal fit: Your background and motivations equip you with a comparative advantage to working on this issue.

What are the Most Pressing World Problems?

80,000 Hours (2025)

In this article, 80,000 Hours ranks their most pressing cause areas, several of which involve nonhumans. More details can be found in their comprehensive problem profiles:
  • AI takeover
  • AI consciousness and welfare (”digital minds”)
  • S-risks (suffering risks)
  • Space governance
  • Factory farming
  • Wild animal suffering

What Should the Average EA Do about AI Alignment?

Raemon (2017) | 8 min read

There are many highly impactful ways to get involved – even if you don’t have a technical background.
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Pursuing a career

Which Jobs Put You in the Best Long-Term Position?

Benjamin Todd (2023) | 20 min read (from § Five components of career capital to § Should you wait to have an impact? only); 39 min audio available (7:40-46:28)

Making a difference in the world (or securing that dream job) is not easy. You need career capital: skills, connections, credentials, character, and runway. This chapter from 80,000 Hours’ comprehensive career guide introduces the crucial concept of career capital and how you can start building it today to make a difference tomorrow.

The 80,000 Hours Career Guide is available in both text and audio formats.

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(View excerpt)

The following text is excerpted from the reading.

§ Five components of career capital

By “career capital,” we mean anything that puts you in a better position to make a difference or secure a fulfilling career in the future.

We normally break it down into the following components, which you can use to compare your options in terms of career capital:

  • Skills and knowledge: What will you learn, how useful will it be, and how fast will you learn? A job will be best for learning when you are pushed to improve and get lots of feedback from mentors and colleagues. Ask yourself: “Where will I learn fastest?”
  • Connections: Who will you work with and meet? Will they include potential future collaborators on impactful projects, supportive friends and mentors, people who are influential, or people who will help you expand into new circles?
  • Credentials: We don’t just mean formal credentials like having a law degree, but also your achievements and reputation — or anything else that acts as a good signal to future collaborators or employers. If you’re a writer, it could be the quality of your blog. If you’re a coder, it might be your GitHub. If you’re interested in doing good, how can you show you’ve cultivated that interest?
  • Character: Will this option help you cultivate virtues like generosity, compassion, humility, integrity, honesty, good judgement, and respect of important norms? In particular, will you be able to work alongside people with good character (since that has a huge influence)? These traits are vital to being trusted, working with others, and not doing harm. They also determine whether, when faced with a high-stakes decision, you’ll be able to do what’s best for the world.
  • Runway: How much money will you save in this job? Your “runway” is how long you could comfortably live with no income. It depends on both your savings and how much you could reduce your expenses by. We recommend aiming for at least six months of runway to maintain your financial security, while 12–18 months of runway gives you the flexibility to make a major career change. It’s usually worth paying down high-interest debt before donating more than 1% per year or taking a big pay cut for greater impact.

§ How can you get the best career capital? Build useful skills.

If we were going to summarise all our advice on how to get career capital in one line, we’d say: build useful skills.

In other words, gain abilities that are valued in the job market — making it easier to bargain for the ingredients of a fulfilling job — as well as those that are needed in tackling the world’s most pressing problems.

Once you have valuable skills, you also need to learn how to sell those skills to others and make connections. This can involve deliberately gaining credentials, such as by getting degrees or creating public demo projects; or it can involve what’s normally thought of as “networking,” such as going to conferences or building up a Twitter following. So it’s true all these kinds of activities build your career capital too. But all of these activities become much easier once you have something useful to offer, which is why we put the emphasis on building skills first.

Getting good at something useful usually involves a combination of the following four ingredients:

  1. Choose useful skills to learn — we covered some broad skill types that we think are valuable for doing good in the previous article: organisation building, communicating ideas and community building, research, earning to give, and government and policy. We also have an article on which skills make you most employable.
  2. Find skills that are a good fit for you — those that match your talents and that you can learn fastest — which we’ll cover in the next article.
  3. Practice — getting good at most jobs takes years, if not decades. You shouldn’t expect to excel right away. This also makes it vital to find good mentorship, and to do something you can stick with for a long time.
  4. Increase your chances of being in the right place at the right time — for example, it’s much easier to get to the top of a brand new field that’s growing rapidly than an established area like law, since there are far fewer people to compete with. Likewise, being part of the right scene can be a huge factor, so if you’ve stumbled across a community, person, or organisation with momentum, sticking with that may pay off.

In short, try to maximise your rate of useful learning.

In the next section, we cover some concrete types of jobs that people we’ve worked with have often found useful for improving their career capital.

There’s also a lot you can do within your existing job to invest in yourself and improve your career capital. That’s so important that we cover it in a later article on personal development, which includes advice on building character, networking, saving money, and becoming more generally effective. We also cover how to sell your existing career capital effectively in our article on how to get a job.

What skills will be most valuable in the future?

Thinking of becoming an illustrator, legal clerk, or medical technician? These jobs might soon be gone.

Several decades ago, chess was held up as an example of something a machine could never do. But in 1997, Kasparov was defeated by the computer program Deep Blue.

A 2020 analysis looked at the effects of three kinds of automation on the labour market over the past few decades: standard software, robots, and AI. The author found that advances in IT and standard software have reduced the number of people working in highly routine or administrative jobs, while advances in robotics have replaced many manual jobs, but not those requiring social intelligence or creativity.

But it’s the rapid recent advances in AI — in particular machine learning — which we think could have the biggest impact on your career.

To date, machine learning has worked best when you can gather lots of data to train an algorithm on a specific test. So we’re already seeing automation in places like running power plants or analysing medical tests.

In the last few years, we’ve seen huge advances in far more general, and more creative, AI systems. The most advanced AI systems can pass complex academic exams better than most humans, generate extremely realistic images from text, and solve some difficult coding problems. None of this was possible even a year ago.

A paper from 2013, which we’ve written about in the past, speculated that tasks involving creativity would be among the hardest to automate, but generating ideas is one of the strengths of the latest AI systems. For instance, they can generate hundreds of images in the style of Dali crossed with Pollock nearly instantly, or endless ideas for attention-grabbing headlines.

The types of tasks that seem hardest to automate likely involve:

  • Decision making and problem solving. For example, choosing from a variety of AI-generated images, especially decisions where it’s important for a human (perhaps for legal reasons) to stay in the loop.
  • Social intelligence and relationship building.
  • Difficult motor skills. Robots are lagging behind generative AI systems, so jobs from plumbing to surgery are likely to be less affected (at least for now).
  • High-level expertise. AI systems are still not as accurate as top human experts within their area of expertise (though it’s not clear how long this will last).

It’s very hard to predict how this will affect the labour market over the next 10 years.

The 2020 analysis discussed above argued that jobs between the top 70th percentile and the 99th percentile in terms of income will be most affected by advances in AI, and are likely to see lower relative income. The list of jobs most likely to be affected includes chemical engineers, optometrists, and dispatchers. In contrast, the list of the least affected jobs includes entertainment performers, food preparation workers, and college instructors. (This analysis is just one model — so we shouldn’t fully trust it.)

It’s not that the jobs most affected by automation will see reduced employment or income. If each chemical engineer you hire can do the work that two could previously, that could lead to hiring half as many engineers, or it could lead to hiring more engineers, because now each produces twice as much value as before. It all depends on how the economics of the situation works out.

What’s clearer is that jobs will shift to involve more of the harder-to-automate tasks, and fewer of those that can be done by AI systems.

So this means that if you want your skills to stay relevant in the future, focus more on learning the hardest-to-automate skills (perhaps such as the ones above) and also focus heavily on learning how to use AI to augment your productivity. The workers who do best in the future will probably be those most able to make use of AI and automation to solve important problems.

Beyond the next 5–10 years, it becomes near impossible to know what will happen. Ultimately it seems like AI systems will be able to do basically all jobs better than humans, and who knows how the economy will look at that point.

For more, see our August 2023 interview with Micheal Webb on the impact of AI on the economy.

Concrete next steps for gaining career capital

To boost your career capital, our main advice is to build useful skills. To help you do that, we have a list of useful skills, with advice on how to assess your fit and how to get started learning them.

We recommend focusing on the skill that seems to be the best fit for you and then trying it for a couple of years.

To find your next step, ask yourself, which job would most help me learn this skill in the next couple of years?

Here are two other ways to figure out your best next step for career capital:

First, you can work backwards from where you most want to end up long-term. Ask yourself “if I want to end up here, what next step would most accelerate me in that path?” This can help you spot especially effective ways to advance. (We’ll talk about this more in the article on career planning.)

Second, here are some ideas for jobs you can do for a couple of years (or less) that we’ve found are often especially good for building your skills. Note down any that could be a good fit for you — you can add these to your list of ideas for next steps that we’ll make later in the guide.

1. Work at a growing organisation that has a reputation for high performance in your path

If you’ve just graduated, you’re probably not very good at doing real work.

In college, you’re told to answer well-defined problems with clear answers over short timeframes, which are possible to master. In the world of work, much of the challenge is working out what the problem is in the first place and prioritising what to work on. Projects don’t (automatically) have well-defined scopes or success criteria. Great performance might not be possible, or could take many years.

You probably don’t know how to do the basics, like run a weekly check-in meeting, read financial statements, give good presentations, or speak to a boss.

So, often one of the most useful things you can do after college is to go and work with any high-performing, high-integrity team, where you can be mentored in the highly useful skill of generally getting stuff done at work.

If the organisation also has a good reputation, then you’ll also get the credential of saying you’ve worked there. And you’ll probably be able to meet lots of other ambitious people, building your connections.

If it’s rapidly growing, you’ll have more opportunities for promotions, morale will be better, and your future achievements will be more impressive.

It’s hard to meet all of these criteria in one job, but they’re all worth looking out for. Here are some more considerations in choosing where to work:

Should you work in the private sector or at a nonprofit?

The private sector might actually be a better place to learn productivity, because the clear feedback mechanism of profit weeds out ineffective work faster. Our impression is that many conventional nonprofits are pretty dysfunctional, which is one reason why nonprofit leaders often recommend training up elsewhere.

Another big factor is there are far more jobs in the private sector, and the higher pay can help you build up your runway.

That said, there are lots of great organisations and teams across all sectors, including nonprofits, government, and academia.

Even putting impact aside, working in an organisation with a social mission can offer major advantages, such as getting to learn about a pressing global problem, meeting and being around other people who want to do good, and more motivation and meaning.

Should you work for a small or large organisation?

In smaller organisations, you can usually learn a wider variety of skills and potentially get more responsibility faster. Larger organisations are usually more well known, so offer good credentials for your CV, and have roles with lower variance, and often have more capacity for training and mentorship.

More speculatively, small organisations may have better feedback loops between performance and success, while succeeding in large organisations becomes more about navigating politics and bureaucracy (though those can be valuable skills too!).

If you want to work in the nonprofit sector longer term, many of the organisations are small, so working at a smaller organisation may give you more relevant skills. However, if you want to work in government and policy, large organisations could be better preparation.

What will the people be like?

There’s a lot of cultural variance between organisations, and even between teams within the same organisation.

If your goal is career capital, you should prioritise working somewhere you’ll get good mentoring and feedback on your work. It’s hard to learn without good teaching or role models. Likewise, the character of the people you work with will rub off on you.

Which concrete options seem best?

One option to especially consider is working in a promising tech startup, which can potentially combine many of the benefits above: high-performing teams with strong incentives to produce results, rapid growth, and the opportunity to gain a generalist skill set. If the startup succeeds, you’ll also get a good credential and money. Bonus points if you can find a company where you can learn skills relevant to a top global problem.

Of course, a lot of startups are terribly run, and likely to fail. But you can take steps to increase your chances of working at a good one. See more in our career review on startup jobs.

Another option to consider is working at top AI labs such as OpenAI or DeepMind. These are high-performing organisations that can let you learn about and make connections within AI research, while also gaining great backup options. This would ideally be in a role directly working on AI safety or policy, as simply boosting the development of AI capabilities could easily be harmful, due to their potential risks — we don’t recommend taking harmful roles to gain career capital. However, not all experts agree — read more in our full article where experts give anonymous advice on whether you should steer clear of roles that advance AI capabilities.

There are many other options that could fall in this category. For organisations especially relevant to our pressing problems, see our list of recommended organisations. (Though bear in mind, not all of these will be good places to gain career capital.)

Within the private sector, some options people commonly consider include working in big tech, top financial firms, consulting (which can also let you experience several industries), professional services (like working at one of the Big Four accounting firms), and law. You should eliminate options you think are harmful and focus on those where you might have the best fit.

2. Go to graduate school in carefully chosen subjects

People often drift into expensive graduate programmes that don’t offer good backup options even if they’re not sure about academia. This is often not a good move.

Bilal did a research project in cosmology at the end of his undergraduate degree. Continuing into a PhD just seemed like the natural next step. But once he started his PhD, he concluded that it wouldn’t be good for teaching him much except how to do academic cosmology — and he didn’t think a career in academic cosmology would be an especially good way for him to make a difference. While it would have been easy to simply continue with the path he was on, he decided to leave early, and retrain in a different skill.

However, some graduate school programmes can boost your career a lot. If we had to pick, the most attractive grad programmes might be economics or machine learning PhDs:

  • Almost all economics and machine learning PhDs can get jobs involving economics or machine learning if they want, which is not the case with most doctorate degrees.
  • Machine learning is directly related to one the world’s most pressing problems — risks from artificial intelligence — while economics prepares you to work on a variety of important problems, including AI policy, global priorities research, international development, and many more.
  • You can go from economics into the rest of the social sciences or into important positions in policy. Likewise, machine learning skills can be applied in many other fields of study.
  • They both have high-earning backup options.

But there can be many other good options.

If you’re interested in graduate school as a next step, here are some tips on picking:

What's the best graduate programme for you?

Criteria for comparing graduate subjects

  • Personal fit — will you be good at the subject? If you’re good at the area, it’s more likely that you’ll be able to pursue work in that area later on, you’ll enjoy it more, and you’ll do the work more quickly.
  • Relevance to your long-term plans — does it take you towards the options you’re most interested in? Lots of people are tempted to do graduate study even when it doesn’t particularly help with their longer-term plans. For instance, potential entrepreneurs are tempted to do MBAs when they’re not particularly helpful to entrepreneurship; lots of people are tempted to do a random master’s degree when they’re not sure what to do; some people consider doing a law degree when they’re not confident they want to be a lawyer.
  • Back-up options — does it give you flexibility to change course, both inside and outside academia? If you’re uncertain about academia, watch out for programmes that mainly help you with academic careers (e.g. philosophy PhD, literature PhD). And if you do a maths PhD you can transfer into economics, physics, biology, computer science, and so on, but the reverse is not true. Also, some graduate programmes give you better odds of landing academic positions (e.g. more than 90% of economists can get research positions, whereas only about 50% of biology PhDs do).

Based on these criteria, which graduate subjects seem best?

As above, two we’d especially highlight are:

  • Economics PhD
  • Machine learning PhD

Some other useful subjects to highlight, given our list of pressing problems, include:

  • Other applied quantitative subjects, like computer science, physics, and statistics
  • Security studies, international relations, public policy, or law school, particularly for entering government and policy careers
  • Subfields of biology relevant to pandemic prevention (like synthetic biology, mathematical biology, virology, immunology, pharmacology, or vaccinology)
  • Studying China (or another emerging global power like India or Russia)

Of course, many people should study options that aren’t on this list. For instance, we’ve written about how we’d like to see more of our readers study history, and many of the team at 80,000 Hours have a background in philosophy. However, these subjects are more competitive and have worse backup options, so require a higher degree of personal fit.

And other options can make sense depending on your situation (e.g. doing an MBA if you’re in the corporate sector).

Which subjects are best also depends on your longer-term career goals. We aim to discuss which kinds of graduate study are most useful to particular longer-term paths within our career reviews and problem profiles.

Which programmes are best within a subject?

There’s a huge amount of variation between schools and specific programmes within a subject. Ask yourself:

  • Will you get good mentorship? Learning how to do good research is a craft that gets passed down mainly via hands-on training, so this is vital. Getting good mentorship helps hugely with motivation and your future opportunities in academia. It often comes down to the specific person you’ll be working with and your fit with them.
  • Will the particular university be an environment where you can flourish? For example, in terms of location and culture?
  • What’s the reputation of the professor and university? Your supervisor’s reputation in the field will impact your future opportunities in academia. Being at a well-known university is useful for opportunities outside of academia (e.g. as a communicator or in policy).
  • Will you get funding?

It could easily be better to do a subject you think offers fewer options in general if you find a particular opportunity that’s strong in these criteria.

Should you do graduate study?

It’s not a decision to be taken lightly. In particular, PhD programmes are often demoralising and people doing them often struggle with mental health or don’t complete them, and master’s degrees can cost a lot of money. Both take substantial time.

It’s also not a question we can answer in the abstract — it depends on your other options.

For now, if any graduate school options seem plausible, add them to your list of ideas for next steps. Then later in the guide we’ll come back to narrowing them down. (Or if you want to think about it now, you could compare graduate school to your best other options using our career decision process.)

Also see our article on why to consider applying to graduate school right now.

3. Take an entry-level route into policy careers

As we saw in the previous article, careers in government and policy can be very high impact. There’s also a very wide range of roles in this area, which often share common entry routes. That means these entry routes can open up a lot of impactful options, while potentially also giving you a general professional training, knowledge and connections in the policy world, and credentials.

The options differ slightly depending on the country you’re in.

Some of the main options in the US include:

  • Executive branch fellowships and leadership schemes
  • Working for a politician
  • Working on a political campaign
  • Think tank research roles
  • Entry level roles in the executive branch

We focus on the US because it’s the country where we have the largest number of readers — but there are often similar options available in other countries.

Whether these are good options for building career capital depends on the specific job and people you’ll be working with: Will you get good mentorship? What’s their reputation in the field? Do they have good character? Does their policy agenda seem positive? Will the culture be a good fit for you?

Some people we know have entered promising policy positions, but later felt like the culture was a terrible fit for them. There’s also a risk of doing harm if you get things wrong. So it’s especially important to think about the specifics of the opportunity and your fit.

Read more about how to get started in policy in our article on how to build policy and political skills.

4. Do anything that lets you develop a concrete skill

Any next step that gives you a provable, useful, transferable skill can be a good move.

This could mean things like:

  • Going to a bootcamp to learn programming
  • Joining a great marketing team to learn digital marketing
  • Going to China and taking Chinese classes
  • Being the research assistant of a great communicator or researcher

For more, see our list of useful skills and click through to see more on how to learn them.

Some concrete options here include (in no specific order):

  • Software engineering
  • Machine learning and applied AI
  • Management
  • Information security
  • Data science and applied statistics
  • Marketing
  • Sales and negotiation
  • Develop expertise in China or another important emerging economy

5. Do anything where you might excel (even if it’s a bit random)

We came across someone who had a significant chance of becoming a magician and maybe landing a national TV show in India, and was deciding between that and… consulting. It seemed to us that the magician path was more exciting, since the skills and connections within media would be more unusual and valuable for work on the world’s most pressing problems than those of another consultant.

A common mistake is to think that building career capital always means doing something that gives you formal credentials, like a law degree, or is prestigious, like consulting.

It’s easy to focus on “hard” aspects of career capital, like having a well-known employer, because they’re concrete. But the “soft” aspects of career capital — your skills, achievements, connections, and reputation — are equally important, if not more so. The very best career capital comes from impressive achievements.

You can build these “soft” aspects of career capital in almost any job if you perform well. Doing great work builds your reputation, and that allows you to make connections with other high achievers. If you push yourself to do great work, then you’ll probably learn more too.

This is why doing something less conventional, like starting a new organisation, can sometimes be the best path for career capital. If you succeed, it’ll be impressive. But even if you don’t succeed, you’ll learn a lot and meet interesting people.

Doing anything that will give you a concretely visible project that seems impressive can also be helpful, such as writing a successful blog or doing a project that appears in the media.

For someone who wants to make a difference, it can even be worth doing something that seems a bit random, if you’re going to be great at it. (See more on this theme in our podcast with Holden Karnofsky.)

Earlier in the guide we talked about how it’s possible to have a big impact through communicating ideas, community building, and donations. This means that excelling at almost any path can set you up to have a big impact, since it’ll give you connections, influence, money, and credibility, which can be used to support pressing problems.

So if you want to build career capital, it’s worth considering any area where you have a good fit, even if it doesn’t seem like a good option in general.

6. Do what contributes

When I (Benjamin) founded 80,000 Hours, we hadn’t yet come up with the concept of career capital. But if we had, it’s likely I would have concluded working in finance would have been better career capital than starting a nonprofit. But I think that would have been a mistake. I gained better career capital from working at 80,000 Hours, because I learned more, achieved more, and met great people.

Learning by doing is often the most effective way to learn. Most people can’t see a route to having a significant positive impact right at the start of their career, but if you do, just pursuing that might well be your best option for career capital.

This could look like joining a startup social impact project you think could succeed over 5–10 years, or it could mean directly entering one of the career paths you think are most impactful. If you succeed, it’ll be impressive, benefiting your career capital. And if you’re someone who cares about doing good, you’ll probably find it more motivating to work on something meaningful, making you more likely to succeed.

In addition, if you want to tackle pressing global problems, then at some point you need to learn about those problems, and meet others who want to work on them too. This is usually easier to do if you work in those areas than if you (for instance) work in a random corporate job.

And of course you might have a positive impact! Although career capital should probably be your top priority early on, any positive impact you can have early in your career matters too.

All these pros can make up for other weaknesses of this path (e.g. often you’ll receive less training).

Whether to take the plunge and try to do something impactful early on is a difficult decision. It’ll depend on the chances of success of the project, who you’ll be working with, what kind of training you might get, and so on. But if you can see a way to significantly help with one of the most pressing global problems right away, it’s certainly worth considering — even just from the perspective of gaining useful skills, achievements, and connections.

As we saw in our article on job satisfaction, doing what contributes is a good strategy both for helping others and being personally satisfied. But also, if you try to do what’s most important for the world, it can sometimes be the best strategy for career capital too.

Transferable vs specialist career capital

One tradeoff you might face is between the following two types of career capital:

  • Transferable career capital is relevant in lots of different options. For example, social skills, productivity and management skills (which are needed by almost every organisation), or achievements that are widely recognised as impressive.
  • Specialist career capital prepares you for a narrow range of paths, like knowledge of malaria or information security.

Which should you focus on?

All else equal, when you’re earlier in your career, you should focus more on transferable career capital. At the start of your career you’re more uncertain about what’s best, so it’s more useful to have flexibility. And more generally, the more uncertain you are about what roles you want in the longer term, the more you should focus on transferable career capital.

Unfortunately, however, all else is often not equal. While specialist career capital gives you fewer options, it’s often necessary to enter the most impactful jobs, so it’s still probably worth focusing on at some point.

💼

Happy with where you are now? Check out 80,000 Hours’ articles on doing good in your current job.

80,000 Hours Job Board (below)

This job board has more than just jobs. The 80,000 Hours Job Board is also a great place to find training programs, internships, courses, volunteer roles, and more.
  • Filter results based on your interests, career stage, desired salary, geographic region, and other details.
  • Set up alerts to be notified right away when new opportunities match your filters.
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Key organizations

80,000 Hours

40 hours a week. 50 weeks a year. 40 years. How will you spend these 80,000 hours? The eponymous organization publishes comprehensive yet accessible resources helping individuals to find fulfilling, high-impact careers.

Their podcast features in-depth interviews with experts working on pressing cause areas.

The sections below compile major organizations working on the biggest cause areas at the intersection of AI and animals.

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🕊️ Advocacy today and tomorrow

Hive

This bustling Slack community is a central hub for animal advocates to connect, with an expansive repertoire of dedicated channels.

Farmed Animal Strategic Team (FAST)

Subscribe to the FAST mailing list for updates on

Check out their resource hub for useful references on jobs, funding, training, tools, and opportunities.

Animal Advocacy Careers

Focused more on near-term animal welfare.

Anima International

Anima organizes the annual Conference on Animal Rights in Europe (CARE).

Animal and Vegan Advocacy International (AVA)

Every year, AVA convenes summits in different countries around the world.

Animal Charity Evaluators (ACE)

ACE rates animal charities in terms of their effectiveness.

Animal Rights Map

Browse advocacy groups around the world in this interactive map.

Vegan Hacktivists and Violet Studios

These organizations provide pro bono website design and other services for promising new advocacy orgs.

See the wild animal suffering informational website assigned in week 7 for an example of their work.

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🐖 Precision livestock farming

Animal Welfare Indicators at the Slaughterhouse (aWISH)

A major EU-funded project aiming to evaluate and improve broiler and pig welfare across Europe through the use of novel sensor technologies and AI to track animal-based welfare indicators at slaughterhouses, providing real-time feedback to farmers and other stakeholders. This serves as a large-scale, real-world example of developing PLF systems with an explicit focus on welfare monitoring and accountability.
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💬 Interspecies communication

Earth Species Project (ESP)

A nonprofit using AI to decode communication across various species. Join their Discord community and access their open-source tools on Github.

Project CETI (Cetacean Translation Initiative)

An interdisciplinary initiative applying machine learning to decipher sperm whale “codas”. Marine biologists and linguists collaborate to create a translation interface, with potential implications for cetacean rights & conservation. Access their open-source tools on Github.

More Than Human Rights (MOTH)

An interdisciplinary initiative at NYU advocating for the welfare and rights of nonhumans.

Interspecies Internet

A think tank of over 4,500 scientists, artists, philosophers, and more working to advance interspecies communication. Join their Slack community & subscribe to their events calendar.

Coller Dolittle Prize

A $10 million award offered to research that significantly advances two-way interspecies communication. Finalists of the 2024 competition include work on nightingales, marmosets, dolphins, & cuttlefish.
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🧬 Genetic welfare

Screwworm Free Future

This initiative supports the use of CRISPR-based gene drives to eliminate an economically devastating parasite that also causes severe suffering to affected livestock.

The Far Out Initiative

The Far Out Initiative was a public benefit corporation conducting research into the biological foundations of pain.

To read more about the Far Out Initiative’s work, see Alexander (2024).

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⌛ Improving the long-term future

Effective Altruism (EA)

A philosophical and social movement that uses evidence and reason to determine the most effective ways to benefit others, often focusing on issues that are great in scale, severely neglected, and highly tractable (solvable).

Forethought

A research nonprofit focused on how to navigate the transition to a world with superintelligent AI systems.

Rethink Priorities

A non-profit “think-and-do tank” that provides foundational analysis and data across several major cause areas, including influential work on estimating the scale and nature of wild animal suffering.
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🐾 Wild animal welfare

Animal Ethics

An international organization dedicated to raising awareness and promoting research into the situation of wild animals and how to help them, as well as addressing other highly neglected areas of animal advocacy.

Check out their resource library on wild animal suffering, as well as short videos published on YouTube.

Wild Animal Initiative

A nonprofit addressing the most pressing scientific research gaps in wild animal welfare. WAI is one of only four organizations to receive Animal Charity Evaluators’ highest rating, and the only one to focus on wild animals.

Check out their extensive resource library including peer-reviewed articles on wild animal welfare.

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⚠️ Preventing worst-case outcomes (massive suffering risks)

Centre for Reducing Suffering (CRS)

A research center founded by Tobias Baumann and Magnus Vinding that researches how to best reduce suffering (rather than maximize happiness), considering all sentient beings and the longterm future.

Center on Long-Term Risk (CLR)

A research institute that investigates ways to encourage cooperation and avoid conflict dynamics between powerful AIs in order to mitigate worst-case risks.

Macroscopic Ventures

A nonprofit making grants and investments with a focus on reducing catastrophic AI misuse, promoting cooperation and avoiding conflict, and advancing AI welfare.
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🤖 AI safety, ethics, and governance

The lay of the land

AISafety.comAISafety.com
(above)

This website collects resources to supercharge your career in AI safety. It also includes the AI Existential Safety Map, an interactive map of major organizations in the world of AI safety organized into different “territories” corresponding to focus or approach.

See especially the Career Castle to the south!

AI Governance Map (below)

This second interactive map displays major organizations in the world of AI governance, separated into 5 broad areas:
  1. Policy
  2. Research
  3. Advocacy
  4. Forecasting
  5. Industry standards and regulations

Careers

BlueDot Impact

A leading nonprofit providing high-quality courses on AI safety, governance, and other topics, such as:
AGI Strategy
Technical AI Safety
AI Governance

80,000 Hours (below)

Preparing society for AGI is among the top priorities of this nonprofit dedicated to supporting career development.

Research, policy, and funding

Foresight Institute

A nonprofit which funds and supports high-impact research across such areas as nanotechnology, safe AI, longevity, and space. Their existential hope program supports optimistic futurism.

Forethought

A research nonprofit dedicated to carefully navigating the transition to a world with superintelligent AI systems.

Future of Life Institute

A nonprofit whose mission is to steer transformative technologies away from catastrophic risks and towards benefiting life.

Check out their list of recommended references on the benefits and risks of AI.

Epoch AI

A nonprofit focused on forecasting the trajectory and societal impact of AI with a view to informing decision-making and strategy. Their work – which some policymakers have referenced – aims to bring more scientific rigor to debates about when transformative AI might arrive, how fast AI capabilities will grow, and what economic and governance implications arise from those trends.

Model Evaluation and Threat Research (METR; formerly known as ARC Evals)

A nonprofit research organisation that assesses potentially dangerous capabilities in state-of-the-art AI models. Their work includes building evaluation suites to measure general autonomous capabilities, developing red-line threat tests, and releasing regular research updates on AI capabilities.

Coefficient Giving (formerly Open Philanthropy)

A major philanthropic funder that supports high-impact work across a broad spectrum of cause areas – including transformative AI.
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Sustainably motivated: A healthy mindset

Agency Begets Agency

Richard Ngo (2023) | 5 min read (8 min audio available)

This proactive worldview requires three mindset shifts:
  1. Definite optimism: A positive outlook with an emphasis on taking action
  2. A positive-sum focus: Reframe competitive situations by looking for win-wins
  3. Belief in a heavy-tailed world: Recognize that opportunities for extreme impact are tough – but they are everywhere.

Musings on Teaching Agency

Chana Messinger (2022)

Notes, links, and other useful resources on cultivating a proactive mindset.

Why I Find Longtermism Hard, and What Keeps Me Motivated

Michelle Hutchinson (2021) | 9 min read (12 min audio available)

Working on longtermist causes is psychologically difficult. Present-day suffering is vast and hard to ignore. Whereas, future suffering seems abstract and speculative. This blog post lays out actionable techniques for dealing with these mental barriers.

My Experience with Imposter Syndrome — and How to (Partly) Overcome It

Luisa Rodriguez (2022) | 27 min read (44 min audio available)

“I believe I am both terrible at my job, and excellent at the skill of seeming great at it.” This is a hallmark expression of impostor syndrome. Persistent feelings of inadequacy and self-doubt despite clear evidence of competence and success can lead to systematically under-ambitious decision-making and self-sabotage – undercutting your true impact potential. Overcoming impostor syndrome requires adopting a scientific approach to understanding your own strengths and weaknesses.
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Why We Get Burned Out – and What Helps

Laura González Salmerón (2024)

Burnout is not just a matter of working long hours. Other factors, like value misalignment, work culture, and ambiguous expectations can also play a significant contributing factor. Preventing burnout requires regular reflection and a holistic approach.

Pre-session exercises

This week's exercises are designed to help you synthesize your learnings into actionable personal strategy – no matter where you are in your career.

Please complete both if you would like feedback on both your project proposal and career plan. Alternatively, you may choose to focus on either one or the other depending on which would be most useful for you to receive critical feedback on during our final session.

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The more detail you provide up front, the better feedback you will receive.

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At the same time, make sure you are able to communicate your ideas briefly and clearly to people who may not have thought about the issue as much as you!

  • Leave at least one comment on somebody else’s response.
  • Submit your responses in the weekly Slack thread created by your facilitator in your channel at least 24 hours before your regularly scheduled meeting.
  • You can write your responses in bullet point format if that’s easier.

Pitch a project for the Sentient Futures Project Incubator Fellowship

[400 words] Translate your learning into impact in our upcoming Project Incubator Fellowship. Starting in January, you will have the chance to work with experienced mentors on impactful projects over the course of two months.

Topics can be anything related to nonhuman sentience and welfare, including (but not limited to):

  • Impact of AI on animals (e.g. PLF, interspecies communication, AI-powered advocacy)
  • Longtermism and future suffering risks
  • Wild animal suffering
  • Neglected and future farmed animals
  • Transition to post-AGI society
  • Artificial sentience/Digital minds
  • Space governance
  • Macrostrategy and cause prioritization

Follow the template below to design a pitch to share and receive feedback on during our final session.

🔔

Mentee applications for the Project Incubator Fellowship will open soon– stay tuned!

1. The problem statement

  • Identify the specific, narrow problem you aim to solve.
  • Why the problem is important (e.g. welfare implications, scale, stakes) or neglected

2. The solution & deliverable

  • What is the concrete, feasible output you will produce in 2 months? (e.g., literature review, policy brief, technical demo, pilot study design, grant proposal, survey, etc.).
  • What methodology will you use? (e.g. research, coding, case studies, expert interviews, etc.).

3. High impact potential

  • Define the impact: How will the successful completion of this 2-month project significantly move the needle on the problem outlined above?

4. Personal fit & next steps

  • Why are you the right person? How does your current background, skills, or specialized knowledge uniquely position you to execute this project?
  • How does this project fit into your post-fellowship impact journey? (e.g. career capital, connections, project portfolio, upskilling).
  • What is the immediate next step for the project after the fellowship concludes (the "launch plan")? Think about a rough 8 week timeline.

Mapping your impact journey

[400 words] How has the AI×Animals Fellowship prepared you to amplify your own career impact? In this exercise, you will chart your own path ahead by developing a concrete, prioritized strategy. Start by defining your ultimate goal and then, working backward, “reverse engineer” it into specific milestones, including immediate steps.

This exercise is designed to be valuable whether you are planning a full career switch or aiming to maximize your influence within your current professional role/field.

3-5 years (long-term goals)

  • Specific actions: Define a specific, ambitious career impact achievement (e.g. “develop a welfare certification and monitoring scheme for PLF chickens”, “transition to full-time work as an AI policy advisor”, etc.).
    • If applicable, list 2-3 organizations that represent this ideal impact target. (Hint: browse in the further readings appendix.)
  • Rationale: How does this goal serve nonhuman welfare in a high-stakes cause area (e.g. PLF, interspecies communication, etc.)?

6-24 months (mid-term goals)

  • Specific actions: Build foundational expertise. List 2 concrete, long-term commitments (e.g. degree, research affiliation, etc.).
  • Rationale: Which types of career capital (expertise, network, publications) are required to achieve your 3-5 year long-term goals? How do these activities build that career capital?

0-6 months (immediate next steps)

  • Specific actions: Secure next position/training. List up to 3 high-priority next steps you can take to enable your midterm goals (e.g. connections to make, project ideas, conferences to attend, roles/internships/courses to apply for, etc.).
    • Test of fitness: Identify a quick and easy way to test your suitability for this trajectory before fully committing (e.g. completing a project internship or course, publishing a forum post, joining a reading group, directly reaching out to individuals from orgs working on related issues).
  • Rationale: How does this action directly address a skill gap or leverage a new connection to enable your 6-24 month mid-term goals?

Targeted feedback

  • Identify 1-2 specific areas of uncertainty where you need expert input (e.g. "Am I overlooking backfire risks of strategy X?" or "Which PhD program is best for pursuing this research?").
  • Identify 1-3 individuals or orgs who you can reach out to clarify these matters
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