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Interview

Balancing competing priorities | Career advisors Michelle Hutchinson & Habiba Islam (2022)

  • Team Expansion and Capacity

    • The 80,000 Hours one-on-one career advising team has grown significantly, hiring three new advisors including Michelle Hutchinson (returning), Habiba Islam (new), and Matt Reardon (upcoming).
    • The team's capacity to conduct conversations has increased; Habiba reports having conducted approximately 390 calls in the current year (averaging 2.5 per work day).
    • Service applications and details are available at 80000hours.org/speak, with the service remaining free for all users.
    • A new podcast feed, "80K After Hours," is being used to split content, featuring interviews, article readings, and team discussions to accommodate longer episodes.
  • Core Advice and Strategic Shifts

    • Cause Prioritization: The team emphasizes "cause prioritization" over traditional career mapping, urging advisees to start with the world's most pressing problems rather than their existing skill sets or degrees.
    • Non-Linearity: Advisers highlight that undergraduate backgrounds (e.g., physics, history, philosophy) do not preclude high-impact careers in unrelated fields; pivoting early is often beneficial.
    • The "Tail" of Impact: Advice often discourages "middle-ground" careers that attempt to hedge between impact and earnings; the team suggests specializing in either high-impact direct work or high-earning roles to maximize donations.
    • Mental Health Prioritization: Advisers explicitly encourage putting mental health first, utilizing an "oxygen mask" analogy to warn against burnout and self-sacrifice that reduces long-term career effectiveness.
    • AI Safety Roles: There is a specific push for software engineers to join AI safety teams as Machine Learning Research Engineers, a role often overlooked by those assuming only PhD research paths are impactful.
    • Government and Policy: The team encourages work in government and intergovernmental organizations (e.g., UN, Civil Service), noting that most global progress originates there, despite the perception that these environments are less mission-aligned.
    • Patient Philanthropy: There is emerging interest in "patient philanthropy" (e.g., Founders Pledge, EA Fund), advocating for funding approaches with longer time horizons for impact.
  • Job Market and Application Dynamics

    • The 80,000 Hours job board has expanded from 400 listings to approximately 800–900 roles.
    • Advisers frequently "nudge" candidates to apply for roles they previously deemed unattainable, citing cases where candidates were hired after receiving direct validation from an advisor that they were a strong fit.
    • The hiring process often functions as a "threshold system" where candidates who are not the best fit for a specific role may be retained for future openings or recommended via network effects.
    • Early Career Biosecurity Funding: The team encourages applicants to seek funding from Open Philanthropy's Early Career Fund to support pivots (e.g., Master's degrees in biosecurity).
  • Case Studies and Outcomes

    • Sophie: An undergraduate who pivoted from pre-med/pre-law to biosecurity, co-founding One Day Sooner to lobby for challenge trials; she is now pursuing a Master's in Health Security.
    • Jonas: A law PhD student who transitioned to run the Legal Priorities Project and completed a policy internship at Google DeepMind, filling a gap in legal research for long-termist impact.
    • Michael: A law student who overcame imposter syndrome to secure a researcher role at Giving What We Can after being encouraged to apply for "stretch" positions.
    • Neil: An intern at DeepMind and Jane Street who, after exploring AI safety and earning-to-give paths, secured a role at Anthropic following strategic planning on timing and flexibility.
    • High-Variance Outcomes: The discussion acknowledges the risk of high-impact careers failing; Sam Bankman-Fried is cited as a complex example of a high-risk "earn to give" startup path that initially succeeded but carries significant reputational and financial volatility.
    • Support for Failure: The community emphasizes the need to support individuals who switch careers and later revert or fail, ensuring they do not feel like failures for trying a high-risk path.
  • Motivational Frameworks for Long-Termism

    • Intuition vs. Reasoning: Michelle Hutchinson notes that while long-termism feels counterintuitive compared to helping the immediate poor, she relies on rejecting pure time discounting and the "injustice" of future generations being dependent on current choices.
    • Relational Justice: Michelle and Habiba identify "relational justice" (protecting the powerless) as a stronger motivator than abstract consequentialism; this includes the view that future people are powerless to defend themselves against existential risks.
    • Virtue Ethics: Habiba Islam cites non-consequentialist instincts, such as acting with kindness and preserving the "virtue" of the human species, as complementary motivations for reducing existential risk.
    • Prioritarianism: Habiba highlights the tension of the "prioritarian instinct" (helping the worst off) with long-termism, noting that future populations may be better off than current ones, requiring a focus on preventing the loss of the possibility of existence.
    • Community and Teamwork: Daily motivation is often sustained by team dynamics and immediate workplace goals rather than abstract moral philosophy; colleagues support each other in maintaining commitment to values.
  • Common Psychological Barriers

    • Perceived Competence: Many advisees, including those with high academic credentials (e.g., Cambridge Physics PhD), feel unintelligent enough to engage with global priority questions, a barrier the team actively works to dismantle.
    • Overpopulation Concerns: The team corrects common misconceptions about overpopulation, noting that higher population sizes can accelerate technological progress and fossil fuel consumption at similar rates, rather than simply worsening the situation.
    • Empathy Gaps: Advisers note that people are more motivated to solve diseases they personally know (e.g., cancer, Alzheimer's) than neglected diseases in poor countries (e.g., schistosomiasis), and that this visceral bias leads to neglected cause areas.
    • Planning Anxiety: Career planning is often viewed as arrogant or too detailed; the team promotes a "scaffold" approach that identifies uncertainties and next steps rather than a rigid decade-by-decade itinerary.
  • Forward-Looking Statements and Challenges

    • Upcoming Content: The team is developing episodes on the Russia-Ukraine conflict, great power escalation, and nuclear risks.
    • Advice Limitations: The team explicitly states they cannot provide directive advice on "the single best path," as career suitability is subjective and the best outcome for one person may not be for another.
    • Skill Gaps: Advisers note limitations in their knowledge of specific existential risk reduction fields outside of their core expertise, necessitating careful screening of advisees.
    • Future Growth: The advising team plans to continue expanding to meet demand, with a focus on maintaining the quality of the one-on-one experience through scheduling and peer support.