An excellent result may no longer tell customers what they want to know about its making.
A gift can be valuable because somebody went to the trouble. A piece of music can matter because of the person who wrote it. An adviser can be worth returning to because they remember the decision you made together and are prepared to question it.
Consumer value has always included things that are difficult to see in the finished product. AI makes some of those distinctions more consequential. Accomplished words, images and responses can be produced without the human experience a customer might once have assumed was behind them.
Over the next one to three years, we expect some consumers to become more specific about the human contribution they want to buy. They may gladly choose a generated image for one purpose and seek a particular artist for another. They may welcome automated service while choosing an adviser who will stay with an important decision. The same person can value both.
“PROOF OF HUMAN” follows this separation of an impressive outcome from the participation behind it. For businesses, it creates a reason to explain who contributes, how their contribution changes the offer and why a customer would care.
What drives this
People buy more than functional performance. They buy a relationship to a maker, a story they want to pass on, evidence of attention given to them. In research first published online in 2011, psychologists George Newman and Paul Bloom found that original art's perceived value involved its creative history and connection to its maker, beyond its appearance. Those experiments used hypothetical objects; they do not establish a price premium for human work in today's AI market. [53]
What is changing is how little an accomplished surface may reveal about that history. A fluent response does not tell a customer who considered their situation. A beautiful picture does not reveal which decisions its maker made or how it was produced. Where those contributions matter, customers need another way to recognize them.
That creates opportunities for makers and service providers who can explain their involvement clearly. It also creates a temptation to sell a vague human-made promise without saying much about the work. Consumers could become more demanding about the distinction, particularly when the origin was part of the reason they bought.
The person behind the page
This October, 18 German-language children's and young-adult publishers introduced a shared “Von Menschen” label. Announced on 5 October for the Frankfurt Book Fair, it describes books written, designed and editorially checked by people. The publishers can use it in print and digital information; AI assistance with processes or research is not generally excluded. [115]
The commitments cover the writing, the visual work and the publisher’s editorial review. A parent choosing a book is being offered information about its creation and the people responsible for checking it. Whether that information changes purchases remains to be seen. The launch establishes a choice the publishers want to make visible, rather than proof that readers will pay more.
Taste will not always favour human production. A 2025 study found that university participants preferred the selected AI-generated images when choosing between unlabelled, stylistically paired artworks. The sample and images limit the conclusion, but the result is a useful reminder: origin and enjoyment can pull in different directions. [57]
What does your customer's choice include?
Start with the part of your offer where a person's involvement makes a meaningful difference. A maker's revisions could help a buyer understand why the finished object is the way it is. An adviser with authority could provide continuity that a sequence of pleasant replies cannot. A creative tool could help its user describe the contribution they feel proud of, even when much of the execution was assisted.
Avoid assuming that more manual work means more value. Time, price, accessibility and quality still count. A customer using assistance may have put considerable thought into an outcome; another may simply want the quickest dependable answer. Neither needs a moral lesson at checkout.
Where human participation is worth choosing, make the promise concrete enough to judge. What did this person contribute? What can they decide? What will remain their responsibility after purchase? Answering those questions could become a much more useful distinction than putting “human” on the packaging.
Early signs of change.
by TrendWatching
3 selected innovations from the Innovation Database. Each helps explain an aspect of the shift. None establishes that the whole forecast will happen.
Music registry records disclosed AI involvement
SIQA operates a registry for music provenance and disclosed AI involvement.
A registry distinguishes types of AI involvement in submitted music; it is not universal detection or proof of ownership.
Why this example is here
Registry fingerprints registered tracks and classifies disclosed involvement. Not universal AI detector, legal ownership proof or industry consensus.
Original sourceEditorial selection · reviewed 1 Nov 2026
Beverage assistant offers a route to human advice
Boir is Colruyt Group’s Belgian online drinks retailer.
Human sommeliers remain available for complex questions; a willingness to pay extra for human attention is not established.
Why this example is here
BelgianBOIR catalogue guidance. Complex questions can go via customer service to sommeliers; not guaranteed named-owner continuity or paidhumanpremium. Weak supporting human-escalation signal only.
Original sourceEditorial selection · reviewed 1 Nov 2026
A book cover can carry an account of human authorship
British certification organisation Books By People
Human contribution is made explicit at purchase.
Why this example is here
Certification applies the scheme’s standards to reviewed evidence; its own terms say it is not an absolute guarantee of human authorship. Registration does not mean government verification of each book. A blanket absence of AI assistance and a consumer price premium have not been established by this review.
Original sourceEditorial selection · reviewed 1 Nov 2026
Dates distinguish launches, announcements and substantial updates. Examples with a more indirect connection are labelled.
Explore the sub-shifts
These more specific changes show how the main shift could play out in everyday life.
“PROVENANCE PURCHASING”
People gain a clearer choice about whose work they are buying.
“EFFORT AS STATUS”
The finished result says less about the work. Some people will want their contribution to show.
“SOMEONE, NOT SOMETHING”
For some purchases, customers will choose the person who stays involved.
“STILL MINE?”
People need a way to take honest pride in work made with assistance.
THE SOURCE NOTESFollow the thinking 3 sources · what they show and where their limits lie
Sources and further reading
These sources inform the article. A product announcement describes an offer, not how widely people use it. Arguments and imagined futures are kept separate from observed results.
Participants assessed hypothetical original and duplicate objects. Creative history and connection to the maker affected value, but this does not establish that today’s buyers pay more for human work because of AI.
Full four-page release read. Mark covers human-written text, human illustration/design and editorial review; publisher process/research assistance is not generally prohibited. Participating publishers may use mark digitally and in print. No sales, adoption or independent verification claim.
University participants preferred selected unlabelled AI images. Restricted stimuli and sample; no purchase or universal preference inference.
About this research edition
This article draws on selected sources and our interpretation of their implications for consumers. The wider collection contains 50 articles and original illustrations. We have not read everything by everyone on the reading list, calculated the probability of each future or established worldwide adoption. The collection is not exhaustive.
The illustrations are AI-generated, with a visual approach informed by TrendWatching’s 2024 and 2025 reports. They depict ideas rather than observed events. If an article’s central idea changes, its image needs another look. Small edits need not mean a new illustration; automatic replacement is not active.
Each innovation has a source, a review date and an explanation of its relevance and limits. Some are early signs of the change; others offer a useful comparison. None proves the forecast. Monthly monitoring and automatic selection of new examples are not running.