Wonder & Worry
A lone oak on a rise above a valley of fog. The left half of the picture is lit by dawn and the right half by dusk.

Hold the
wonder.
Hold the
worry.

The risks and the possibilities of AI, side by side, with every number traced to its source.Move across the picture and the light follows.

Most plants require both light and dark to meet their furthest growth potential.

So it is with us.

Some people look at AI and feel dread. Some feel hope. Most of us feel both on the same day. Here the evidence for each sits next to the other, so you can carry them together.

I am worriedI am hopefulI make things

Why I made this

I use AI in my work and in my art. I also see the anger and the fear around it, and how it has split people who make things into camps. That division has weighed on me.

I do not see AI as good or bad in itself. There are serious concerns... for our livelihoods, for the planet, for the artists whose work was used without asking, for where all of this is heading. There is also real good already growing. I wanted one place where the two could sit together.

So I gathered the evidence with AI's help and had every number checked against its source. Where the evidence is thin, the page says so. The site itself was built with AI, and How this was made names every tool and who did what.

I do not have this figured out. My hope is that if we keep people first, share what we make with love and kindness, and keep learning our craft, some of the fear can soften and we can find each other again.

Michael Hummel

Nine areas of life that AI touches

Think of a tree cut across. Each ring is a year the tree lived through, good and hard alike. These nine rings are the places AI reaches into a human life.

Every area holds a wonder and a worry. Each one has many more aspects than the few shown here.

  1. Ethical AI, consent and likeness
  2. Economic AI, jobs and pay
  3. Environmental AI, energy, water and climate
  4. Educational AI, learning and skill
  5. Emotional AI companions and mental health
  6. Epistemic AI, deepfakes and trust
  7. Equity AI, bias and access
  8. Expressive AI in art and music
  9. Existential AI safety, power and the long view

How to read the evidence

Every figure on this site names its source and its kind. A survey tells us what people believe. It cannot tell us how likely an event is. So each number carries one of five labels:

  • Measured counted or experimental data
  • Survey what people report or believe
  • Estimate a judgment or model, often a company's own
  • Forecast a projection of the future
  • Reported a company's, agency's or journalist's own account

Press a small number like this one to see where a figure comes from.

The nine areas, each lit two ways

A fingerprint pressed into wet clay

Ethical

Wonder

consent that works

30,000+

artists take part in one opt-in licensing program that now shares 25% of net revenue with them. Reported

Worry

consent, honesty, likeness

73%

of adults in an 8-country survey say it is unethical for AI firms to use copyrighted music without the artist's approval. Survey

Both sides of ethical

A workbench with an unfinished violin and hand tools

Economic

Wonder

shared prosperity

11 more hours

a week of creative work reported by artists in Ireland's basic income pilot than by a lottery control group. Measured

Worry

livelihoods

26% and 36%

of illustrators and translators who answered a UK survey said they had already lost work to generative AI. Survey

Both sides of economic

A river bending through a misty meadow with distant pylons

Environmental

Wonder

a better-watched planet

97.2%

of 1,320 forecast targets on which an AI weather model beat the leading conventional ensemble forecast. Measured

Worry

energy and water

1.5%

of the world's electricity went to data centers in 2024. Use is projected to more than double by 2030. Estimate and forecast

Both sides of environmental

An open notebook and a seedling on a windowsill

Educational

Wonder

a patient teacher for all

Over double

the median test gains with a well-designed AI tutor, against an active-learning class, in a randomized trial of 194 Harvard physics students. Measured

Worry

learning and skill

+48%, then 17% worse

Students using plain GPT-4 for math practice scored 48% better in practice, then 17% worse than classmates on an exam without AI. A tutor with guardrails largely avoided the harm. Measured

Both sides of educational

Two cups of tea on a small table with two chairs

Emotional

Wonder

connection and care

19.6%

higher on an automated empathy measure: peer supporters' replies written with AI feedback. It was 38.9% for those who said support was hard. Measured

Worry

relationships and mental health

72%

of US teens have tried an AI companion, and 52% use one at least a few times a month. Survey

Both sides of emotional

A pond reflecting trees, half of it rippled

Epistemic

Wonder

truth and common ground

About 20%

drop in belief in a chosen conspiracy theory after a conversation with an AI, among 2,190 believers. It lasted at least two months. Measured

Worry

truth and trust

55.5%

is how often people correctly identify deepfakes, which is not reliably better than chance (50%). Measured

Both sides of epistemic

A long table set outdoors with many different bowls

Equity

Wonder

access for everyone

200 languages

translated by one model released free for non-commercial use, many with few written resources. Measured

Worry

who bears the cost

27.5% vs 15.4%

of working-age people used generative AI in the Global North vs the Global South in early 2026, and the gap is widening. Estimate

Both sides of equity

A guitar, brushes and a small canvas in a studio corner

Expressive

Wonder

more voices, new forms

10.7%

more novel: stories by less-creative writers who were offered up to five AI ideas. Measured

Worry

sameness and flooding

Up to 8%

more novel is how stories were rated when writers were given AI ideas. The stories also became measurably more alike. Measured

Both sides of expressive

Tree rings with a small green shoot

Existential

Wonder

longer lives, a wiser hand

29% more

cancers found by AI-supported mammography (6.4 vs 5.0 per 1,000) in a randomized trial of 105,934 women, with no rise in false positives and 44% less reading work. Measured

Worry

control, power, meaning

5%

is AI researchers' median guess at the chance that AI causes human extinction or severe disempowerment (2023, 15% response rate). Survey

Both sides of existential

You do not have to choose.

You can be worried about where this is going and still be moved by what it can do. Carrying both is harder than picking a side... and it leaves more room for other people.

A cross-section of soil with roots and a seedling

A Shared Ethic for AI in art and music

Eight commitments that an artist who refuses AI and an artist who uses it could both sign.

  1. Human first
  2. Consent
  3. Credit and pay
  4. Say how it was made
  5. Keep the craft alive
  6. Purpose before profit
  7. Use energy with intention
  8. Respect

Read the eight commitments

Where each of us can start

  1. Choose tools and makers that ask, credit and pay.
  2. Say how your work was made.
  3. Keep practicing your craft, and teach it.
  4. Share what you can, and support pay and security for those who cannot yet.
  5. Ask of every new use whether it brings people closer together.

Source 41

King A. LANDR Fair Trade AI program. Digital Music News, 14 Jul 2026. digitalmusicnews.com/2026/07/14/landr-fair-trade-ai-program-indie-artists/ ; MusicTech, 13 Jul 2026. musictech.com/news/music/landr-fair-trade-ai-advance-program/

See all sources

Source 1

Deezer/Ipsos. Survey of 9,000 adults in 8 countries on AI music. Deezer Newsroom, 12 Nov 2025. newsroom-deezer.com/2025/11/deezer-ipsos-survey-ai-music/

See all sources

Source 43

Department of Culture, Communications and Sport (Ireland). Basic Income for the Arts: two-year report, and Alma Economics cost-benefit analysis. gov.ie, Sep 2025.

See all sources

Source 4

Society of Authors. AI survey results (n=787, Jan 2024), via European Writers' Council. europeanwriterscouncil.eu/soa-survey-uk-ai-2024/

See all sources

Source 45

Price I, et al. Probabilistic weather forecasting with machine learning. Nature 637:84-90, 2025. doi:10.1038/s41586-024-08252-9

See all sources

Source 8

International Energy Agency. Energy and AI. Apr 2025. iea.org/reports/energy-and-ai/executive-summary

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Source 48

Kestin G, et al. AI tutoring outperforms in-class active learning. Scientific Reports 15:17458, 2025. doi:10.1038/s41598-025-97652-6

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Source 13

Bastani H, et al. Generative AI without guardrails can harm learning. PNAS 122(26), 2025. doi:10.1073/pnas.2422633122

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Source 50

Sharma A, et al. Human-AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support. Nature Machine Intelligence 5:46-57, 2023. doi:10.1038/s42256-022-00593-2 (300 peer supporters, non-clinical)

See all sources

Source 16

Common Sense Media. Talk, Trust, and Trade-Offs: How and Why Teens Use AI Companions. Jul 2025 (n=1,060). commonsensemedia.org/research/talk-trust-and-trade-offs-how-and-why-teens-use-ai-companions

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Source 52

Costello TH, Pennycook G, Rand DG. Durably reducing conspiracy beliefs through dialogues with AI. Science 385(6714), 2024. doi:10.1126/science.adq1814

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Source 19

Diel A, et al. Human performance in detecting deepfakes: a systematic review and meta-analysis of 56 papers. Comput Hum Behav Rep 16:100538, 2024. doi:10.1016/j.chbr.2024.100538

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Source 54

NLLB Team. Scaling neural machine translation to 200 languages. Nature 630:841-846, 2024. doi:10.1038/s41586-024-07335-x

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Source 22

Microsoft AI Economy Institute. Global AI Diffusion, Q1 2026. May 2026. microsoft.com/en-us/research/wp-content/uploads/2026/05/Microsoft-AI-Diffusion-Report-2026-Q1.pdf

See all sources

Source 26

Doshi AR, Hauser OP. Generative AI enhances individual creativity but reduces the collective diversity of novel content. Science Advances 10(28), 2024. doi:10.1126/sciadv.adn5290

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Source 58

Hernström V, et al. Screening performance and characteristics of breast cancer detected in the MASAI trial. Lancet Digital Health 7(3):e175-e183, 2025. doi:10.1016/S2589-7500(24)00267-X

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Source 59

Gommers J, et al. MASAI trial, interval cancer results. Lancet 407:505-514, 2026. doi:10.1016/S0140-6736(25)02464-X

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Source 28

Grace K, et al. Thousands of AI Authors on the Future of AI. J Artif Intell Res 84, 2025. arxiv.org/abs/2401.02843

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