80000hours.org

80,000 Hours is a research organization that helps people use their careers to solve the world's most pressing problems. You can start by exploring its free career guide, podcast, and advisor resources, then decide whether to skill up first or look for a role right away. The site's current focus is on reducing risks from advanced AI, so much of its guidance is aimed at people who want to work on making AI go well — including those without technical backgrounds.

What 80,000 Hours offers

The organization describes three main ways to engage with its work:

• Research — a decade of analysis on AI and other global risks, plus a career guide that walks through how to compare problems and paths.
• Podcast — conversations with people working on high-impact problems, useful for understanding what the work actually looks like.
• Advisors — one-to-one career advice. The site states its team has given personal career advice to thousands of people.

All of this advice is presented as freely accessible. You can either sign up to hear from the organization or read the material directly without an account.

Step 1: Understand the framing before you pick a path

80,000 Hours argues that the problem you work on is probably the largest single factor in how much difference you can make. Its suggested filter for choosing a problem has three parts:

The organization presents its ranking of pressing problems as uncertain rather than definitive. Its current list includes loss of control over powerful AI, extreme power concentration, engineered pandemics, great power conflict, and factory farming.

Step 2: Decide whether to skill up or apply now

The site explicitly frames two routes for people who want to contribute:

1. Skill up — build expertise, credentials, or technical ability before moving into the field.
2. Find your role right away — apply for existing positions if your current skills already fit.

Which route makes sense depends on your background and how close your existing skills are to what current roles require. The site notes that far more people are needed, with both technical and non-technical backgrounds, so a lack of AI-specific expertise is not automatically disqualifying.

Step 3: Match yourself to a specific problem

Once you have a sense of the problem areas, the practical next move is to figure out where you fit. The site's own framing of this step is: understand AI and the key risks, then work out where you fit, then either skill up or find your role.

A concrete way to do this:

• Pick one problem from the list that you can plausibly contribute to.
• Read the dedicated page for that problem (each entry on the site links to a "Read more" page).
• Identify the job functions that problem needs — for AI risk, the site stresses that both technical and non-technical roles are in demand.
• Compare those functions against your current skills to choose between the skill-up and apply-now routes.

Why the AI focus matters for your planning

80,000 Hours states that many experts believe there is a roughly 1-in-10 chance (or worse) that AI could cause human extinction, and that this is why its mission centers on helping people find jobs focused on making AI go well. If your goal is to follow the organization's own highest-priority recommendation, AI risk is the area its current guidance points to first. If you are drawn to another problem on the list — pandemics, power concentration, conflict, or factory farming — the same three-part filter and the same two routes still apply.

A reasonable first session

If you want a single sitting that gets you to a decision:

1. Read the career guide overview to absorb the scale/tractability/neglected framework.
2. Skim the pressing-problems list and note the one or two that you could realistically work on.
3. Read the detail page for your top choice.
4. List the roles that problem needs and mark which ones your current skills already cover.
5. Based on that gap, commit to either a skill-up plan or a set of roles to apply for.
6. Optionally, sign up for updates or listen to a podcast episode featuring someone in that field to test whether the day-to-day work appeals to you.

The organization's advice is free to read, so there is no cost barrier to starting — the main constraint is your own time and how honestly you assess your fit.

If you're new to Ahrefs and want to run your first SEO audit, the fastest path is: open Site Explorer, enter your target URL, review the Overview for a health snapshot, then dig into Organic Keywords, Top Pages, and Site Audit to find specific problems. From there, build a short prioritized to-do list instead of trying to fix everything at once.

This tutorial walks through that workflow using a realistic starting scenario, explains what the numbers mean, and shows how to turn findings into actions.

Before You Start: Pick a Narrow Scope

A common beginner mistake is auditing an entire large website on day one. The reports become overwhelming, and you can't tell which issues matter.

Instead, choose one of these starting points:

• A single important page (your homepage or a key product/service page)
• A small site (under ~50 pages, e.g., a personal blog or small business site)
• One section of a bigger site (e.g., /blog/)

For this tutorial, assume you're auditing a small business site with about 30 pages. The same steps scale up later.

You'll need an Ahrefs account to follow along. Ahrefs offers paid plans, and pricing and feature limits change over time, so check the current Pricing page for what's included in each tier before committing.

Step 1: Enter Your Target in Site Explorer

Site Explorer is Ahrefs' core tool for analyzing any website or URL.

1. Open Site Explorer from the top navigation.
2. In the search box, paste your domain (e.g., example.com).
3. Choose the Exact URL or Domain mode depending on scope. For a full-site view, use Domain or Prefix; for a single page, use Exact URL.
4. Press Enter.

You'll land on the Overview report. Don't try to absorb everything — focus on four numbers first.

Reading the Overview Snapshot

Important caveat: Ahrefs' traffic and keyword numbers are estimates based on its own data. They won't match Google Search Console or your analytics exactly. Treat them as directional, not absolute.

Step 2: See What You Already Rank For

Go to Organic Keywords in the left sidebar. This shows queries where your site appears in search results.

Sort by Traffic (descending) to see which pages bring the most estimated visitors. Then look for:

• Keywords ranking in positions 4–15 — these are often the easiest wins. A small content or on-page improvement can push them onto page one.
• Keywords with high volume but low position — potential opportunities if the topic is relevant.
• Irrelevant keywords — if you rank for something off-topic, it may signal thin or mismatched content.

Write down 5–10 of the position 4–15 keywords. These become your first optimization targets.

Step 3: Find Your Best and Weakest Pages

Open Top Pages. This ranks your URLs by estimated organic traffic.

Look for two things:

1. Your top performers — understand what topics and formats work. Can you create more content like this?
2. Pages with traffic but poor rankings — these may need on-page fixes (title, headings, internal links).

If a page gets zero traffic and targets a topic you care about, it's a candidate for a rewrite or consolidation.

Step 4: Run a Technical Site Audit

Now move to Site Audit. This crawls your site and flags technical and on-page issues.

1. Click Site Audit → New project.
2. Enter your domain and set crawl settings (default is usually fine for a small site).
3. Start the crawl and wait for it to finish.

Once complete, you'll see a Health Score and a list of issues grouped by category.

Which Issues to Fix First

Not all issues are equal. Prioritize in this order:

Ignore low-impact warnings (like minor meta description length) until the big items are handled.

Step 5: Turn Findings Into a To-Do List

You now have raw data. Convert it into a short, actionable list. Example:

1. Fix 3 broken links found in Site Audit.
2. Rewrite title tags on 5 pages with duplicate titles.
3. Improve 4 pages ranking in positions 6–12 by adding missing subtopics and internal links.
4. Remove or update 2 thin pages with no traffic.

Keep the list to 5–10 items max for your first audit. Finishing a short list beats starting a long one.

Common Beginner Mistakes

• Chasing every red flag. Site Audit flags many minor issues. Fix what affects rankings and users first.
• Trusting estimates as exact numbers. Ahrefs data is modeled, not measured from your analytics.
• Auditing a huge site too early. Start small to learn the interface.
• Ignoring search intent. A page can be technically perfect but still fail if it doesn't match what searchers want.
• Forgetting to re-crawl. After fixes, run Site Audit again to confirm improvements.

Where to Go Next

Once your first audit is done:

• Compare with competitors using Site Explorer's Competing Domains and Content Gap reports.
• Track keyword rankings over time with Rank Tracker.
• Explore backlink opportunities in the Backlinks and Link Intersect reports.
• Set up recurring Site Audit crawls so new issues surface automatically.

Your first audit isn't about perfection — it's about building a repeatable habit: enter a target, read the key reports, pick the highest-impact fixes, and act. Do that once a month and your site's health compounds.

80,000 Hours focuses on AI risk because its research concludes that helping AI go well is currently one of the highest-impact ways to spend a career. The site states that many experts believe there is a 1-in-10 chance (or worse) that AI could cause human extinction, and that far more people — with both technical and non-technical backgrounds — are urgently needed to work on the problem. If you accept that premise, the practical question becomes where you fit: understanding the risks, finding a role, or building skills first.

The reasoning behind the focus

80,000 Hours frames career impact around the problem you work on, which it calls probably the largest factor in how much difference you can make. It selects problems using three criteria:

• Scale — how many people (or how much of humanity's future) is affected
• Tractability — whether additional effort can actually make progress
• Neglectedness — whether the issue is unduly ignored by the rest of society

AI risk scores highly on all three in their assessment, which is why it sits at the top of their mission. The site also notes that some problems may threaten humanity's future, making them especially high priority.

What 80,000 Hours says the risks are

The site presents an uncertain ranking of global problems where additional people can have the most impact. The AI-related entries are:

Other problems in their ranking include engineered pandemics, great power conflict, and factory farming — so AI is presented as a leading priority, not the only one.

What you can actually do

80,000 Hours describes three things its research, podcast, and advisors are designed to help you do:

1. Understand AI and the key risks — build enough familiarity with the arguments to judge them yourself rather than taking the 1-in-10 estimate on faith.
2. Figure out where you fit — match your existing skills and background to a role, whether technical or non-technical.
3. Skill up, or find your role right away — either prepare for a future position or apply for something available now.

The site says it has researched AI for the last decade and given personal career advice to thousands of people, and that you can access all of its advice for free. It also invites visitors to sign up to hear from it as a starting point.

How to decide whether this applies to you

This framing is most useful if you are choosing what problem to work on and are open to AI safety or governance as a career focus. It is less directly relevant if you have already committed to a different cause area, or if you disagree with the underlying probability estimates — the site itself labels its problem ranking as uncertain, so treat it as an argument to evaluate rather than a settled fact.

A reasonable first step is to read the "loss of control" and "extreme power concentration" pages, then ask whether your current skills map onto any of the roles the site describes. If they don't yet, the skill-up path is the intended entry point.

80,000 Hours is a nonprofit research and advice organization that helps people use their careers to work on what it considers the world's most pressing problems, with a current emphasis on reducing risks from advanced AI. The name refers to the roughly 80,000 hours in a typical full-time career. It is aimed at people who want their work to have a large positive impact — including both technical and non-technical backgrounds — and its core advice is available for free.

What the site is for

The organization's stated mission is to answer the question: how can you best use your career to help solve the world's most pressing problems? Its homepage frames the central concern bluntly: "The world faces urgent risks from AI. What can you do about it?"

To that end, 80,000 Hours says it has researched AI for the last decade and given personal career advice to thousands of people. Its content is organized around three goals for readers:

• Understand AI and the key risks
• Figure out where you fit in
• Skill up, or find your role right away

What you'll find there

The site states that all of its advice can be accessed for free, and offers a sign-up to hear from the organization.

How it decides which problems matter

A central idea on the site is that the problem you work on is probably the largest factor in how big a difference you can make. It suggests focusing on issues that are:

• Large in scale
• Tractable — solvable in practice
• Unduly neglected by the rest of society

Issues that threaten humanity's future are treated as especially high priority. The site presents an explicitly uncertain ranking of global problems where additional people can have the most impact:

1. Loss of control (over powerful AI)
2. Extreme power concentration
3. Engineered pandemics
4. Great power conflict
5. Factory farming

The reasoning behind the top entry: we may develop very powerful AI systems before adequate control mechanisms exist, and if such systems accumulate power while misaligned with human values, the result could be catastrophic. On extreme power concentration, the site notes that AI could accelerate efforts to seize and hold power — surveillance, persuasion, and control technologies could let small groups or authoritarian leaders entrench their rule.

Who it's for

The site explicitly says that far more people are urgently needed, with both technical and non-technical backgrounds. That makes it relevant whether you are an engineer, a researcher, a policy specialist, a communicator, or someone earlier in your career trying to choose a direction.

Is it worth your time?

It's likely worth browsing if you want a structured, research-driven framework for choosing a career based on social impact rather than salary or prestige alone. The site is most useful if you are open to its underlying premise — that some problems are far more pressing than others and that career choice is a major lever for addressing them. If you already have a specific cause in mind, the most efficient entry points are the career guide and the problem rankings; if you want to explore broadly, the podcast and research sections give a sense of how the organization reasons before you commit time to the guide.

80,000 Hours is a career advice organization whose stated mission is to help people find work that makes a difference, with a current emphasis on making AI go well. It argues that the problem you choose to work on is probably the single largest factor in how much difference you can make, and it ranks global problems using three criteria: scale (how many people or how much value is affected), tractability (how solvable the problem is with additional effort), and neglectedness (how few other people are already working on it). Problems that threaten humanity's long-term future are treated as especially high priority. The organization explicitly labels its ranking as uncertain.

The screening criteria, explained

Before looking at the list, it helps to understand why these three criteria matter together:

• Large in scale — the problem affects a great deal of value, potentially on a civilizational level.
• Tractable — additional people and resources can plausibly make progress on it.
• Unduly neglected — the problem receives less attention than its scale would justify, so an extra person can have more marginal impact.

A problem that is huge but hopeless, or huge but already crowded with talent, scores lower than one that is huge, solvable, and understaffed. This is why 80,000 Hours frames its list as a ranking of where additional people can have the most impact, not simply a list of the worst things in the world.

The most pressing problems on its list

Based on the organization's own ranking, the priority problems are:

The organization presents this as its "(uncertain!) ranking," and the ordering above reflects the sequence it gives, with loss of control over AI at the top.

Why AI dominates the current framing

80,000 Hours states that many experts believe there is a roughly 1-in-10 chance (or worse) that AI could cause human extinction, and that this is why its mission is to help people find jobs focused on making AI go well. It notes that far more people — with both technical and non-technical backgrounds — are urgently needed.

This explains the structure of the list: several of the top entries (loss of control, extreme power concentration) are AI-related risks, while engineered pandemics and great power conflict are treated as related civilizational threats. Factory farming appears as a separate, non-existential priority.

What this means if you're choosing a career focus

• Treat the ranking as a starting point for your own reasoning, not a verdict — the organization itself flags uncertainty.
• The criteria (scale, tractability, neglectedness) are reusable: you can apply them to a problem the list doesn't cover.
• The list is explicitly about where an additional person can add the most impact, so a crowded field can rank lower even if the problem is severe.
• The organization says its research, podcast, and advisors exist to help people understand AI and key risks, figure out where they fit, and either skill up or find a role right away.

If your goal is to compare your own options against this framework, the practical move is to score each candidate problem on the three criteria and check whether the field is already well-staffed — then weigh that against your personal fit, since the ranking is a claim about impact, not about what any individual should do.