10 Sep, 2026
Anthropic's Economics team has published a model of how AI could reshape the economy by 2030, and buried inside it is the clearest argument against the resume I have ever read. The model, laid out in Economic Scenarios for Transformative AI (Korinek et al., 2026), does not treat a job as a single unit. It treats every job as a bundle of tasks.
That one design choice quietly destroys the logic the resume is built on.
I am Riten, and I run Fueler, a platform where people get hired through their work instead of their CV. I have argued for skill based hiring for years, mostly from what I see on the ground. Anthropic has now given the argument an economic foundation, and I want to walk through why that matters for anyone who hires or anyone who is trying to get hired.
Anthropic builds its model on the US Department of Labor's O*NET taxonomy, which lists the tasks that make up each occupation. Then it asks what AI does to each task. Four outcomes are possible. The task stays untouched. The task gets augmented, meaning AI helps a human do it better or faster. The task gets automated entirely. Or a completely new task appears that did not exist before.
The report uses a nurse to make it concrete. She does rounds, draws blood, triages patients, charts vitals and orders supplies. AI cannot bathe a patient, so that task stays. AI helps her draft discharge instructions and monitor patients remotely, so those get augmented. AI may fully take over charting vitals and ordering supplies. And new tasks appear, like checking how well an AI triaged a patient.
Her job title never changes. She is still a nurse. But the bundle underneath the title has been reshuffled completely.
Now look at a resume. A resume records the title and the dates. "Nurse, 2022 to 2026." It carries no information about which tasks were in the bundle, which ones moved to software, which ones the person kept, or which new ones they picked up.
The report even notes this happens naturally over time. Hardly anyone hand writes paper charts anymore. Thirty years ago nobody monitored patients remotely. The bundle has always been moving. AI is just moving it faster.
The resume was a decent proxy when bundles changed slowly. It is a bad proxy now.
If jobs are bundles of tasks, then hiring on titles is hiring on a summary of a summary. Here is what should change.
Hire for the task list, not the job title. Two people with the same title can have completely different bundles. One video editor spends most of her time on colour grading and story structure. Another spends it on subtitles and rough cuts. AI touches those bundles very differently. The title hides the difference. Only the work reveals it.
Ask what the candidate still does themselves. The most useful interview question in 2026 is not "what tools do you know." It is "walk me through what you personally decided on this project." Anthropic's model shows augmentation growing across the economy. Augmented output looks the same on the surface. The judgment behind it does not.
Treat AI usage as a skill to assess, not a red flag to catch. In the substantial scenario, AI is capable of half of all knowledge work by 2030 and still most of it is done without AI. Adoption lags capability. Candidates who have already closed that gap are more valuable, not less. Screening them out is a mistake companies will regret quickly.
Test with assignments instead of relying on credentials. A task based economy needs task based evidence. An assignment shows the bundle directly. A degree shows what somebody studied years before the bundle changed.
Watch for the new tasks. The report says historically new technology creates new tasks. Reviewing AI output, directing AI systems, checking AI work for errors. These roles are appearing faster than job titles can be invented for them, which means job boards will keep missing them. Portfolios will not.
Why It Matters
This is not a small process improvement. It affects money.
Anthropic's model finds that average wages rise across all three of its scenarios, but the increase is concentrated in occupations outside knowledge work. In the substantial scenario, wages for knowledge workers are essentially flat. In the extreme scenario, they fall by more than 10% by 2030.
Flat or falling pay for knowledge work means the argument for your value gets harder to make. When output becomes cheap to produce, the person who cannot show what they contribute gets priced against the machine. The person who can show it does not.
There is also a hiring cost on the other side of the table. The report notes that changing occupations is difficult and slow, and that in the substantial and extreme scenarios more workers have to switch. Those switchers arrive with resumes that say the wrong thing. A former call centre agent moving into a new field has years of relevant capability and a CV that advertises none of it. Companies hiring on titles will pass on good people for four more years than they need to.
Anthropic is upfront about what the model leaves out, and I respect that. No policy responses, no business cycles, no hyper capable robots, no financial market disruptions. It does not track individual workers, so it cannot say much about what displacement feels like to one person. Several reviewers disagreed with the authors, some saying the extreme scenario is better read as a thought experiment, others saying the modest scenario understates what is already visible today.
I will say the practical version plainly.
If jobs are bundles of tasks, then your portfolio should be a record of tasks, not a gallery of finished pieces. Most portfolios fail here. They show the polished output and say nothing about the work that produced it.
Here is what I tell people to do instead.
Write the process, not the caption. For every project, describe how you approached it, what you tried, what you rejected, which tools you used and what you learned. This is the single highest leverage change most people can make. It is also the core of what makes a proof of work portfolio work step by step.
Name your AI stack openly. If you used AI for research, drafts, edits or variations, say so and say how. On Fueler you can add your AI stack to a project and show the exact workflow. Companies are trying to figure out who actually knows how to work this way. Tell them.
Show the boring parts. The tasks nobody photographs are often the ones that prove the most. Client calls, revisions, constraints you worked around, a deadline you saved. Designers who understand this build much stronger cases, which is why how designers build their portfolio matters more than which tool they use.
Do not wait for a job to start proving. If you have no work experience, build the evidence anyway. Real projects, real problems, documented properly. The student guide to building your first portfolio covers how to do this without a client.
If you want a simple structure to follow, the 6 step portfolio formula is the shortest path from blank page to something a hiring manager can actually evaluate.
The resume is not evil. It was a reasonable shortcut for a world where job titles carried stable meaning. Anthropic's model shows that world dissolving. Tasks are moving between humans and machines constantly, and the title on top of the bundle no longer tells you what is inside it.
Skill based hiring is not a trend or a nice idea. It is the only method that still matches how work is actually structured.
I built Fueler on that belief, before I had an economic model to point at. Now there is one. Jobs are bundles of tasks. Hire the bundle.
If you are a candidate, stop polishing your CV and start documenting your work. Go build a career portfolio that actually gets jobs, and make the tasks visible. That is the version of you that survives the next five years.
What is skill based hiring?
Skill based hiring evaluates candidates on demonstrated ability rather than credentials, job titles or years of experience. It usually involves assignments, work samples or portfolios that show what a person can actually do, which is a closer match to how Anthropic's model describes jobs as bundles of individual tasks.
Is the resume becoming useless because of AI?
The resume is becoming a weaker signal rather than a useless one. It records job titles and dates, but AI is changing the tasks inside those titles rapidly. Two people with identical resume lines can now have very different actual capabilities, which a resume has no way to show.
Why is skill based hiring better than resume screening?
Resume screening filters on proxies like title, degree and tenure. Skill based hiring looks at evidence of the work itself. It surfaces capable candidates from non traditional backgrounds and it handles career switchers far better, which matters because Anthropic's model expects more occupation switching in its more transformative scenarios.
Should I mention AI tools in my portfolio?
Yes, and in detail. Explain which tools you used, at which stage, and what you decided yourself. Anthropic's model shows adoption lagging behind capability, so candidates who can demonstrate real AI workflows are ahead of most of the market rather than behind it.
How do I build a portfolio if I have no work experience?
Create your own projects that solve real problems, then document the full process including your thinking, constraints and revisions. Self initiated work counts as proof as long as the reasoning behind it is visible and honest.
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