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Lorde Called AI Glasses 'Not Sexy' — And She Has a Point That Business Leaders Should Hear

Pop star Lorde made headlines by dismissing AI glasses as 'not sexy,' but her deeper concern about knowing what is real has serious implications for how businesses use AI in the real world.

Amanda Silberling//5 min read
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Lorde Called AI Glasses 'Not Sexy' — And She Has a Point That Business Leaders Should Hear

Pop star Lorde does not usually appear on the radar of enterprise technology analysts, but a comment she made onstage this week has cut through the noise in a way that a lot of corporate AI memos have failed to do.

Speaking at a public event, Lorde dismissed AI glasses with a pointed remark, calling them "not sexy." More importantly, she followed that up with something worth sitting with: "Increasingly in our world, it gets harder and harder to know what is real."

The comment was reported by Amanda Silberling at TechCrunch AI on July 14, 2026.

It is easy to dismiss this as celebrity commentary on consumer gadgets. But the underlying concern Lorde is articulating is one that business teams, HR departments, and operations leaders are quietly wrestling with right now.


Why the "What Is Real" Problem Is a Business Problem

AI glasses — the category that includes products like Meta Ray-Bans and the growing wave of competitors — are designed to layer artificial intelligence on top of lived experience. They can identify faces, transcribe conversations, translate languages in real time, and feed you information about whatever you are looking at.

That sounds useful. And in some contexts, it is. But the friction Lorde is pointing at goes beyond aesthetics. It is about trust and authenticity in human interaction.

For business teams, that friction shows up in a few very practical ways:

Consent and transparency in meetings. If someone walks into a client meeting or a job interview wearing AI glasses that are recording and transcribing in real time, the other people in the room may not know that is happening. That is not just an etiquette issue — in many jurisdictions, it is a legal one.

The erosion of authentic communication. When AI is quietly feeding you information, context, or talking points during a live conversation, the person you are talking to is no longer getting an unmediated version of you. Over time, that changes how relationships are built, how trust is established, and how teams actually function.

Verification fatigue. Once people know that AI-assisted interactions are common, they will start to question every interaction. Was that a genuine insight or something the AI surfaced? Did this person actually know the answer, or were they reading from a hidden prompt? That skepticism has real costs for organizational culture.


The Aesthetics Argument Is Actually Doing Some Work Here

It is worth pausing on the "not sexy" comment, because Lorde is not just being dismissive. Design and aesthetics are how technology signals its social role. When a device looks like surveillance hardware, it creates distance. When it looks like ordinary eyewear, it blurs the line between authentic presence and augmented performance.

That blurring is exactly what makes this category of technology socially complicated in a way that, say, a smartphone is not. Your phone sits on the table. Everyone knows it is there. AI glasses are designed to be invisible in a way that changes the social contract of a conversation.

For businesses thinking about adopting or permitting wearable AI tools, that social contract question deserves serious attention before the technology gets normalized by default.


What SMBs Should Be Thinking About Now

Small and mid-sized businesses are often the last to set formal policy on emerging technology, and the first to deal with the messy fallout when something goes wrong. A few practical considerations:

  • Set a wearable AI policy before you need one. Define what is acceptable in client-facing settings, internal meetings, and hiring processes.
  • Prioritize transparency as a competitive advantage. Teams and clients that trust you will work with you longer. That trust is harder to build if people suspect they are being monitored or augmented without disclosure.
  • Choose AI tools that keep humans visible. There is a meaningful difference between using AI tools for business to handle back-office tasks and using them to invisibly mediate your human relationships.

The businesses that get this right will not be the ones that adopt every new AI device the moment it ships. They will be the ones that ask the harder question first: does this make us more trustworthy, or less?

Platforms like WRRK.ai are built around that question — helping teams get the benefits of AI-powered productivity without sacrificing the transparency and accountability that make businesses worth working with.


Original reporting by Amanda Silberling, TechCrunch AI. Read the original story here.

Explore more on AI adoption strategies for teams.


Start building an AI-powered workplace your team actually trusts at WRRK.ai.


Frequently Asked Questions

It depends on your jurisdiction and the context. In many places, recording a conversation without the consent of all parties is illegal. Even where it is technically permitted, using AI glasses in professional settings without disclosure creates significant ethical and liability risks. Businesses should consult legal counsel before permitting their use in client or employee interactions.

What is the difference between wearable AI and other AI tools for business?

Most business AI tools operate on data and documents — they work behind the scenes on defined tasks. Wearable AI like smart glasses is different because it operates in real-time, live human interactions, often without the knowledge of the other people present. That distinction matters for trust, policy, and compliance.

How should companies set policy on AI wearables in the workplace?

The best starting point is a clear disclosure standard: any AI tool that records, transcribes, or augments a live interaction should be disclosed to all parties before the interaction begins. From there, companies should define which settings — client meetings, interviews, internal reviews — require stricter controls, and build that into their broader AI tools for business governance framework.

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