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Skills Atlas

Open Skills Atlas · 2026 candidates

Future human skills. Invented by people.

18 skills AI can't replace, found in 2026 research from top-100 universities. Built by students, tested by scientists, steered by humans.

Explore the atlasBuild your 2030 vector
candidate skills
18
skill families
6
research only
2026
the horizon
2030

The atlas

Tap a star. Meet a skill.

Each skill is a candidate until EIA faculty test it with their students.

JudgeSteer AIConnectInventGrowServeHUMAN2030FramingJudgmentChecking AIDelegationTrust in AIUnaidedEmpathyAuthenticityTeamingOriginalityTestingTasteLearningAdaptabilityAgencyEthicsOwnershipImpact
Framing & JudgmentCandidate

Problem framing

Turn a fuzzy goal into a precise ask.

Levels

  1. SparkSpot a vague ask and say what is missing.
  2. BuildRewrite the ask until the output fits the goal.
  3. LeadTeach your team to brief people and agents well.
AI's role
AI builds from your brief. You set the goal and fix the ask.
Kept by you
Weeks later, you brief a new case without help.
2020 → 2030
Doing the analysis Framing the problem
Built in
Week 1 · Build abroad

2026 source

When the AI model improved, about half of users' gains came from people rewriting their prompts.

Jahani, E. et al. (2026). Prompt Adaptation as a Dynamic Complement in Generative AI Systems. Information Systems Research. MIT

Evolution

Watch human skills evolve.

Drag through time. AI takes the routine. A new human skill grows in its place.

2020Before GenAI

People do the routine work.

  • Framing & Judgment

    Analysis

    Analysis.

  • Steering AI

    Using software

    Using software.

  • Human Connection

    Selling

    Selling.

  • Invention

    Brainstorming

    Brainstorming.

  • Growth

    Courses

    Courses.

  • Responsibility

    Compliance

    Compliance.

2027 and 2030 are EIA plans.

Your vector

Build your 2030 human vector.

Pick three skills. See your route through EIA.

Pick up to 3

Framing & Judgment

Steering AI

Human Connection

Invention

Growth

Responsibility

Your vector code

HV-····

Your vector appears here.

The EIA hyperloop

One loop. Every skill gets stronger.

Four stations, one direction. Entrepreneurs ride it to serve humanity.

1 / 4 · Riding the loop

Study abroad

Build skills in 3 weeks on a real startup.

LisbonRomeLondonBring a cohort

Passes onSkills built on a real startup.

Validate

Invented with students. Proven by scientists.

A skill joins the atlas as a candidate. It becomes real in five steps.

  1. CandidateFound in 2026 research.All 18 skills are here
  2. BuiltStudents build it in 3 weeks.
  3. TestedMeasured before and after.
  4. RetainedStill there weeks later. AI only steered.
  5. ValidatedTwo studies or a hiring link. Named Skill Author.

Sources

Every candidate. Its 2026 source.

One article per skill, each with an author at a top-100 university.

Framing & Judgment

  1. Problem framingJahani, E. et al. (2026). Prompt Adaptation as a Dynamic Complement in Generative AI Systems. Information Systems Research.MIT · QS 2026 #1
  2. Judgment with AIOtis, N. G. et al. (2026). The Uneven Impact of Generative Artificial Intelligence on Entrepreneurial Performance: Evidence from a Field Experiment in Kenya. Management Science.Harvard Business School and UC Berkeley · QS 2026 #5
  3. Checking AIShaw, S. D. & Nave, G. (2026). Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender. SSRN.University of Pennsylvania (Wharton) · QS 2026 #15 · working paper

Steering AI

  1. Delegating to AIZhu, K. et al. (2026). Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation. arXiv.Harvard University · QS 2026 #5 · preprint
  2. Calibrated trustDell'Acqua, F. et al. (2026). Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality. Organization Science.Harvard Business School · QS 2026 #5
  3. Thinking unaidedRani, A. et al. (2026). Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills. CHI '26.MIT (Media Lab) · QS 2026 #1

Human Connection

  1. Human empathyWenger, J. D. et al. (2026). People choose to receive human empathy despite rating AI empathy higher. Communications Psychology.University of Toronto (co-author) · QS 2026 #29
  2. Authentic voiceRaj, M. et al. (2026). The Artificial Intelligence Disclosure Penalty: Humans Persistently Devalue AI-Generated Creative Writing. Journal of Experimental Psychology: General.University of Pennsylvania (Wharton) · QS 2026 #15
  3. Human-AI teamingDell'Acqua, F. et al. (2026). The Cybernetic Teammate: A Field Experiment on Generative AI and Teamwork. Organization Science.Harvard Business School · QS 2026 #5

Invention

  1. Original ideasTerwiesch, C. et al. (2026). Artificial intelligence and its impact on creativity and diversity: An empirical study of large language model-generated product ideas. Production and Operations Management.University of Pennsylvania (Wharton) · QS 2026 #15
  2. Real-world testingAshokkumar, A. et al. (2026). Large language models can predict the results of social science experiments. Nature.Stanford University · QS 2026 #3
  3. TasteSi, C., Hashimoto, T. & Yang, D. (2026). The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas. ICLR 2026.Stanford University · QS 2026 #3

Growth

  1. Learning to learnMaier, S. et al. (2026). Designing Against Deskilling: Metacognitive Feedback Reduces Cognitive Offloading to LLM Assistants. arXiv.LMU Munich · QS 2026 top 60 · preprint
  2. AdaptabilityStephany, F. et al. (2026). AI Skills Improve Job Prospects: Causal Evidence from a Hiring Experiment. arXiv.University of Oxford · QS 2026 #4 · preprint
  3. Founder agencyKim, H. et al. (2026). Generative AI Fuels Solo Entrepreneurship, but Teams Still Lead at the Top. arXiv / AAAI Summer Symposium 2026.Seoul National University · QS 2026 #38 · preprint

Responsibility

  1. Moral judgmentLandes, E. et al. (2026). People defer to AI moral advice, but not blindly. Cognition.University of Oxford (co-author) · QS 2026 #4
  2. OwnershipLee, E. H. et al. (2026). Relying on AI at work reduces self-efficacy, ownership, and meaning while active collaboration mitigates the effects. Scientific Reports.Penn State (co-author) · QS 2026 #82
  3. Impact evidenceColonnelli, E. et al. (2026). Measuring the Impact of Impact Measurement. HBS working paper.Harvard Business School · QS 2026 #5 · working paper

Ranks: QS World University Rankings 2026. Some sources are preprints or working papers. All skills are candidates, not yet validated by EIA faculty.

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Future Skills Grant

$10,000 to research the skills AI can't replace

Bring 20 students, study one human skill they build in three weeks, and publish what you find.

Why 20? 20 is the smallest single-university cohort that gives a statistically meaningful before-and-after result.

$10,000 to you · paid for your article and skill entries

Reserve a research slotSee grant terms

1–2 page proposal. Your university's disclosure rules and IRB approval apply. Student participation is voluntary.

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