Why AI leaders keep getting the public conversation wrong

AI companies have become very good at explaining themselves to investors. They talk about scale, productivity, efficiency and disruption. In a pitch deck, that language makes sense. It suggests growth, ambition, productivity and commercial opportunity. But to the wider public, it can sound very different.

 

Efficiency often means fewer people doing the same amount of work. Automation can mean a job disappearing. Disruption may excite a venture capitalist, but it is less appealing to someone wondering whether their role will exist in five years.

 

This is where many AI founders mis-speak. The problem is not simply that people are frightened of new technology. It is that the industry often speaks about profound economic and social change in language that feels detached from the people who will experience it.

 

The public keeps being told that AI will transform industries, unlock productivity and create new opportunities. At the same time, they are reading stories about layoffs, restructuring and companies using AI to reduce headcount. It is hardly surprising that the promise and the reality do not feel well aligned.

 

Founders need to understand that this is not just a messaging problem, but a question of trust.

 

 

The language is part of the problem

Some AI leaders still communicate as though they are speaking on stage at a funding conference.

 

They describe their products as replacing inefficient processes, removing repetitive work and allowing companies to do more with less. All of that may be commercially accurate. The difficulty is that “doing more with less” usually leaves one obvious question unanswered: less what? Usually, people assume it means fewer employees.

 

That does not mean founders should avoid talking about efficiency. It means they need to be clearer about what is actually changing. Which tasks are being automated? Which roles are likely to evolve? Where will people still make the decisions? Who is accountable when the technology gets something wrong?

 

These are basic questions, but they are often answered with broad claims about augmentation and the future of work. The word “augmentation” has become particularly convenient. It allows a company to sound reassuring without having to say exactly what its technology will do inside a workplace.

 

People are not necessarily opposed to tools that help them work faster or make better decisions. What they dislike is the suspicion that a company is describing replacement as support because it sounds less threatening.

 

 

Job-loss stories require a different response

The risk becomes much greater when an AI company is linked directly to redundancies. In that situation, the founder’s first instinct is often to create distance. They may say the customer made the decision, that the technology is neutral or that AI was only one part of a wider restructuring programme. Those points may be true, but they do not make a convincing public response on their own.

 

When people have lost their jobs, beginning with a defence of the technology makes the company appear cold. The first step should be to recognise the human impact. After that, the founder can explain what role the product played, what it was designed to do and what decisions remained with the employer.

 

Specificity matters. A company should be able to say whether its tool automates administrative work, supports decision-making, reduces the need for a particular process or removes a role altogether. It should also be able to explain what safeguards are in place and where responsibility sits. Vague reassurance is usually worse than an uncomfortable but honest answer.

 

Founders also need to stop treating public concern as proof that people do not understand technology. In many cases, people understand the issue perfectly well. They know that AI may create new forms of work over time, but they are concerned about what happens in the meantime, who absorbs the disruption and whether the benefits will be shared fairly.

 

Dismissing that as resistance to progress is an easy way to lose credibility.

 

 

Reputation is built before the difficult headline

The worst time for an AI founder to start talking about responsibility is when the company is already under pressure.

 

By then, journalists and the public will look at what the founder has said before. If the public record is full of claims about replacing workers, cutting costs and overturning entire industries, a sudden emphasis on responsible innovation will not carry much weight. A more credible position has to be built in advance.

 

That means talking openly about the limits of the product, not simply its potential. It means explaining where human judgement remains essential and where the company would not want its technology to be used. It also means being prepared to discuss the trade-offs involved, rather than presenting every development in AI as an uncomplicated step forward.

 

Founders are often encouraged to sound certain. Certainty reassures investors and customers. But in public, too much certainty can look like arrogance, particularly in an area developing as quickly as AI.

 

There is nothing weak about admitting that a technology creates difficult questions. In fact, a founder who recognises those questions is more likely to be trusted than one who appears to have an answer for everything.

 

 

The industry now has to earn trust

AI companies have spent the past few years proving that their technology can do impressive things. That is no longer enough.

 

The next test is whether the people running those companies can show that they understand the consequences of what they are building. The founders who handle this well will be those who speak plainly, answer difficult questions and avoid hiding behind fashionable language.

 

They do not need to abandon ambition or apologise for innovation. They do need to explain who benefits, who may lose out and what responsibility they are willing to accept.

 

Public trust will not be won through louder claims about the future. It will be won by showing better judgement in the present.

 

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Richard Morgan-Evans is CEO at Sapience Communications

 

Main image courtesy of iStockPhoto.com and Motortion