Why brand trust is at risk in the gen AI era


Welcome back to Neural Notes, a weekly column where I look at how AI is affecting Australia. This week: a recruitment post from Microsoft’s Xbox division has thrown the risks of brand safety and trust into the spotlight. 

Earlier this week, a senior Xbox leader shared a LinkedIn job ad accompanied by an AI-generated image of a person coding. This would have been innocuous if it wasn’t for the code being displayed on the back of her monitor. 

It was a visual blunder that quickly went viral, raising questions not just about oversight but about the way generative AI is increasingly shaping public-facing communication.

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The timing of this incident made it especially charged. Just a few weeks ago, Microsoft announced thousands of layoffs, many of them affecting creative and technical roles.

The layoffs were widely interpreted as part of Microsoft’s acceleration toward a more AI-driven business model. So when the new recruitment campaign leaned on flawed generative AI artwork, the internet didn’t just see a humorous mistake.

Social media reaction was immediate on LinkedIn and other social media platforms such as X and Reddit. Some observers pointed out the disconnect between Xbox’s heritage as a leader in creative technology and this very public blunder.

“Do you think this image communicates ‘this is a company where we value people who can make stuff look good?’,” wrote one Microsoft team member underneath the original post.

A Ubisoft employee referred to the image as “embarrassing” and “AI gutter-slop”.

“Posting this days after MS laid off 9,000 folks in gamedev, while including an AI-generated image wherein the monitor is backwards… like, dude, read the room,” an employee at Meta said.

Some LinkedIn users floated the possibility the post was made on purpose to highlight the need for graphics professionals. However, the fact that the post has now been deleted suggests otherwise.

Even if this were the case, it certainly didn’t land. And this isn’t surprising considering the sheer prevalence of AI-generated everything from companies right now — disclosed or otherwise.

At a time when the layoffs were still front of mind, the post risked sending the message that efficient, AI-driven processes were prioritised ahead of quality and brand consistency.

Generative AI and erosion of quality and trust

For many long-time Xbox customers, fans, and even potential recruits, the incident felt telling. Brands in the gaming industry aren’t just purveyors of entertainment. They’re supposed to stand as cultural icons, representing high standards of quality, artistry, and community engagement.

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When a brand built on creative prowess appears to stumble in its own hiring campaign, the repercussions reach far beyond a single post. It signals a larger risk to its audience: that the company may now value efficiency and cost-savings over the unique relationship it has built with its community.

The Xbox incident is, sadly, not an isolated incident. In recent years, other major brands have faced backlash after embracing AI a bit too quickly and without sufficient transparency. 

Google found itself criticised after its AI image tools produced historically inaccurate or inappropriate artwork. 

Similarly, Sports Illustrated suffered a credibility crisis when it was revealed the magazine published AI-generated stories under fabricated author personas.

More recently, the Belgian editions of Elle and Marie Claire admitted to publishing AI-generated articles attributed to non-existent authors, raising fresh questions about editorial ethics and trust in the media.

These failures gained traction precisely because consumers are now acutely aware of how automation, if not thoughtfully implemented, can undermine not only brand safety but also the sense of authenticity that underpins modern consumer trust.

Lessons for Xbox and all brands navigating AI

What Xbox’s stumble illustrates, more than anything, is how every decision about automation is now on public display and subject to instant feedback. 

What might once have been a minor lapse in judgment is now amplified and dissected in real time across social networks, news articles and industry columns – like this one.

Brands, particularly those whose reputations rest on their creative or technical prowess, must recognise that deploying AI carelessly endangers far more than their internal workflows. It puts years of hard-won trust and loyalty on the line.

We are in a time when any company intent on integrating generative AI into its business model, especially in customer-facing contexts, must strike a careful balance between convenience, efficiency, and actual quality. 

The allure of faster, cheaper content or automation cannot outweigh the fundamental need to maintain rigorous standards and an authentic brand voice. 

If the pursuit of efficiency starts to eclipse quality, trust will inevitably be eroded, and reputation damaged, often in ways that are difficult and – ironically – costly to repair.

This isn’t just about keeping humans in the loop or adding another layer of review, though those things should clearly be non-negotiable. 

It’s about understanding automation and efficiency should never come at the expense of a brand’s core identity or the relationship it has built with its community.

With a landscape increasingly rife with AI automation, consumers expect brands to be transparent about when and how automation informs their processes. They want to see that expedience doesn’t trump the values or standards those brands have pledged to uphold, often alongside a fresh AI announcement.

As more companies integrate AI into products, hiring, communications, and customer experience, they would do well to remember that the stakes have shifted. 

Even seemingly small errors can undo years of careful reputation-building and turn a routine post into a catalyst for brand-wide distrust. 

In an era defined by rapid technological change and heightened audience vigilance, authenticity, transparency and the consistent delivery of quality are more imperative than ever for protecting trust and sustaining long-term brand value.


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