Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Conversational Design ›› How Conversational AI Is Shaping The Future of UX 

How Conversational AI Is Shaping The Future of UX 

by Jurgen Gravestein
3 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

The article discusses the transformative impact of conversational AI on UX design, emphasizing the need for user-centric approaches and the emerging societal changes driven by AI technology.

According to Nielsen Norman Group, AI and conversational interfaces are shaping up to be the first new UI paradigm in 60 Years. For people who haven’t been completely immersed in the space, this may come as a surprise. Why are we seeing AI assistants everywhere? Why now? And how should we think about these new technologies going forward?

A shift in the locus of control

Since the invention of personal computing in the 80s, there has been a gradual shift in the way we interact with technology. In the beginning, we had to talk to computers in their language, directly via the command line. Better programming languages helped us do that more efficiently.

Over time, we developed graphical user interfaces (GUIs). We witnessed the birth of UX design. Smartphones and tablets introduced new modes of interaction, like swiping, scrolling, and tapping. And with these new affordances also grew the need for dedicated experts: the UX designer.

The most recent shift has been towards conversational AI. We can now interact with technology in our own language and in doing so we’ve reversed the so-called ‘locus of control’. Instead of having to learn how to talk to computers, we taught computers how to talk to us. We came full circle.

The human and the artificial brain

This new way of interacting with technology requires us – again – to rethink how to design these interfaces. It brought about new skill sets and workflows, and the role of the conversation designer emerged.

Conversation design is the art of facilitating meaningful exchange between humans and computers. It’s challenging because the human and the artificial brain work so differently. Computers need structured data, like intents, entities, and variables, whereas humans understand language intuitively. The conversation designer bridges that gap, drawing knowledge from behavioral psychology, linguistics, and technology.

Psychologically, humans are wired for speech. Research has shown that we respond very positively to computers that mimic human conversation. The goal is never to pass the system off as a human, but to make conversations flow as naturally as possible, akin to speaking with another human.

The UX of AI is conversation design

It’s clear that conversational AI, especially with the emergence of large language models, is opening up a lot of new possibilities. However, as with all new technology, it also comes with unique challenges and limitations. 

As it turns out, AI is suffering from a massive UX-shaped hole. Similar to the early days of the web, it is predominantly technical people – developers, and engineers – that drive the development of these new products and services. Smart folks that know everything there’s to know about AI, but not necessarily about design. They think technology-first, not user-first. 

It’s one of the reasons why adoption is slow. If you ask me, AI is nothing without good UX and the UX of AI is conversation design.

What the future holds 

Gazing into the future, we should also consider the long-term impact. Modern phenomena like AI companions and voice clones are poised to change society. In the workplace, AI has led to at least two new breeds of workers: centaurs and secret cyborgs.

Centaurs, named after mythical creatures, are people who outperform workers that don’t use AI by getting more stuff done, faster. Secret cyborgs are people in your organization who use AI without the boss (or you, for that matter) knowing about it. 

Paradoxically, at least some of the value comes from people not knowing. AI-generated content that passes as human-written is great, but only if people think it is coming from an actual human. A heartfelt apology means a lot less when written by ChatGPT. 

Like it or not, anything from emails to news reports to social media posts can be the product of AI without you realizing it. If that’s not the definition of social disruption, I don’t know what is. 

What’s certain is that we stand on the brink of a new era in UX design. For the first time in human history, we can talk to our computers and our computers can talk back at us. The journey into this new frontier is just beginning, and as a UX designer, the future is yours to design.

post authorJurgen Gravestein

Jurgen Gravestein
Jurgen Gravestein is a writer and conversation designer. He was employee no. 1 at Conversation Design Institute and now works for the strategy and delivery branch CDI Services helping companies drive business value with conversational AI. Feel free to subscribe to his newsletter Teaching computers how to talk.

Tweet
Share
Post
Share
Email
Print
Ideas In Brief
  • The article discusses the transformative impact of conversational AI on UX design, emphasizing the need for user-centric approaches and the emerging societal changes driven by AI technology.

Related Articles

Hiring is automated. The tools built to help you keep up are making it worse. There’s another way — one that puts your data, your drafts, and your decisions back in your hands.

Article by Pavel Bukengolts
Job Search Terminal: A Local-First Tool for an AI-Shaped Job Market
  • The piece argues that most AI job search utilities deal with the wrong problem: they only lower barriers for candidates and perpetuate existing power imbalances.
  • It contends that the choice of local-first, people-centered tools is a political position on professional data ownership, not simply a technical decision.
Share:Job Search Terminal: A Local-First Tool for an AI-Shaped Job Market
5 min read

For researchers, AI tools are making the move from advising to building easier than ever. But the real obstacle was never technical. Meet the researchers who allowed themselves to create — and what the cost was.

Article by James Lang
The New Makers
  • The article says that becoming a maker as a researcher is less about learning new tools or skills and more about giving yourself a new identity, and that without fixing the internal permission structures that define your swim lane, even the most democratized AI tools won’t turn a researcher into a maker — you don’t have a founder; you have a frustrated advisor with a prototype.
Share:The New Makers
20 min read

Learn why shipping AI features is the easy part and what it takes to get people to trust them.

Article by Anina Botha
Making the Invisible, Visible: 6 Months of Diving Deeper into AI
  • The piece states that building AI features is easy. But building them on purpose, turning invisible human behaviors like trust and bias into deliberate design choices, is where the work lives.
Share:Making the Invisible, Visible: 6 Months of Diving Deeper into AI
4 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Get Paid to Test AI Products

Earn an average of $100 per test by reviewing AI-first product experiences and sharing your feedback.

    Tell us about you. Enroll in the course.

      This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and