Sub-shift
“SOMEONE, NOT SOMETHING”
For some purchases, customers will choose the person who stays involved.
An important decision rarely ends with the first good answer. Plans change. An exception appears. The customer discovers something they did not know to ask. At that point, having someone who remembers the situation and can act on it may be worth more than another perfectly phrased response.
Over the next one to three years, we expect some consumers to choose services partly for that continuing human involvement. They may welcome automation for routine work while looking for a named adviser, specialist or case owner for the parts that matter most to them. Others will prefer speed, privacy or a lower price.
“SOMEONE, NOT SOMETHING” follows the value of a consequential human role in a commercial relationship. Simply adding a person to a queue will not create it.
Choosing a source is different from rating an answer
Experiments by Joshua Wenger, C. Daryl Cameron and Michael Inzlicht illustrate why a more highly rated response does not settle what people want. Participants tended to choose human empathy even when they rated AI responses more favourably. In an October 2026 interview, the researchers emphasized that their exchanges lacked the context of an ongoing personal relationship. The findings do not establish willingness to pay for human service. [54] [116]
Applied to commercial relationships, the question becomes specific: when does the customer's choice include a person who can exercise judgment, rather than only the answer they supply? An adviser who knows the history may notice a change in priorities. A specialist may be able to make an exception. A continuing contact can save the customer from rebuilding the relationship each time.
Those are possibilities to earn through service, not qualities guaranteed by a human job title. Someone reading the same script without authority can add delay. An automated service may resolve the issue more effectively and make the interaction easier for a customer who would rather avoid a call.
Sell the involvement you can deliver
If human continuity is part of your offer, make clear what the person can do. Will they review an unusual situation, change a plan, follow through after a decision? Can they question the system's recommendation? These are tangible reasons a customer might choose a relationship with your business.
AI could strengthen that offer by preparing the history and removing repetitive administration. The customer would receive the benefit of both: less work explaining the problem, and a person with enough time and authority to help. Whether they value that combination must be tested at real prices and against the quality of the alternatives.
Keep essential recourse available. Resolving a problem your company caused should not become an upsell to a more attentive tier. The wider opportunity is in relationships people voluntarily choose for consequential decisions—and choose again because the promised person remained involved.
Early signs of change.
by TrendWatching
1 closely related example from the Innovation Database. Each helps explain an aspect of the shift. None establishes that the whole forecast will happen.
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
Dates distinguish launches, announcements and substantial updates. Examples with a more indirect connection are labelled.
See the full selection for “PROOF OF HUMAN”THE SOURCE NOTESFollow the thinking 2 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.
Source choice and response ratings diverged. Decontextualized exchanges do not establish long-term relationship outcomes or willingness to pay.
Actual interview read. Higher response ratings do not imply source preference; authors distinguish decontextualized exchanges from sustained relationships. Not a fresh product launch or payment study.
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.