The Great PlayStation Purge
Sony just delisted hundreds of low-quality PS5 and PS4 games from its store, including gems like "Jesus Simulator" and countless other shovelware titles that cluttered their marketplace. The move signals something bigger than gaming platform hygiene — it's a preview of the quality crisis every AI-powered platform will face.
The PlayStation Store had become a dumping ground for rushed, poorly-made games that degraded the user experience. Finding actual quality titles meant wading through pages of asset flips and cash grabs. Sony finally said enough.
This same pattern is playing out right now in AI customer service. The barrier to launching an AI agent has dropped to nearly zero. Every company can spin up a chatbot. But most of them are the "Jesus Simulator" of customer service — technically functional but ultimately harmful to the brand.
When AI Agents Become Shovelware
The rush to deploy AI has created a new class of customer service shovelware. These are the chatbots that:
- Can't handle basic follow-up questions
- Confidently provide wrong information
- Trap customers in conversation loops
- Force users to repeatedly ask for a human agent
Every business leader has used one of these AI agents. You know the experience — you ask a simple question, get a canned response that doesn't address your issue, then spend five minutes trying to escape the bot's grasp. It's the digital equivalent of being stuck in phone tree hell.
The problem isn't AI itself. It's the "ship it and forget it" approach that treats AI deployment like checking a box on a digital transformation roadmap. Companies see competitors launching AI agents and panic-deploy their own without asking the hard questions about quality, accuracy, and user experience.
The Quality Gap Nobody Talks About
Sony's purge reveals an uncomfortable truth: democratized access to technology always creates a quality problem before it creates a quality solution.
When game development tools became accessible, we got an explosion of games — most of them terrible. When YouTube launched, we got billions of hours of content — most of it unwatchable. When AI customer service became easy to deploy, we got thousands of chatbots — most of them frustrating.
The winners in each wave weren't the first movers or the fastest shippers. They were the teams who dove deep into the details of what makes quality experiences. Netflix didn't win streaming by having the most content. Spotify didn't win music by having the most songs. They won by obsessing over the user experience and recommendation quality.
The same dynamic is playing out in AI customer service right now. Having an AI agent isn't a competitive advantage anymore. Having an AI agent that actually works — that understands context, handles edge cases, and makes customers happy — that's the differentiator.
Three Questions Before You Ship
Before Sony's cleanup, their store was technically functional. Games loaded, payments processed, users could browse and buy. But "technically functional" isn't the same as "actually good."
Before you deploy your next AI customer service feature, ask these questions:
1. Does it handle the second question? Anyone can train an AI to answer FAQs. The real test is what happens when a customer asks a follow-up or adds complexity. Can your AI handle: "I need to change my shipping address, but only for items that haven't shipped yet, and also I think I was charged twice"?
2. Does it know what it doesn't know? The worst AI agents confidently make up answers. Quality AI agents recognize when they're out of their depth and route to the right resource. This isn't a limitation — it's a feature that builds trust.
3. Would you use it? Seriously. Would you, the person deploying this AI, actually want to interact with it as a customer? If you're building escape hatches for yourself to skip your own AI, your customers feel the same way.
The Coming AI Quality Wars
Sony's purge won't be the last. Every platform with low barriers to entry eventually faces this moment — the point where quantity has so degraded quality that aggressive curation becomes necessary.
We're approaching that moment in AI customer service. Companies that shipped fast and broke things are now dealing with the consequences: customer frustration, brand damage, and support teams that spend more time apologizing for AI mistakes than they did handling tickets manually.
The next wave of AI adoption won't be about deployment speed. It'll be about quality, reliability, and trust. The companies that win will be the ones who took ownership of outcomes rather than just implementing technology.
This means monitoring every conversation. Measuring not just resolution rates but customer satisfaction. Continuously training on edge cases. Treating AI deployment as the beginning of the work, not the end.
Build for Pride, Not Just Speed
Sony could have left those hundreds of shovelware games up. They technically worked. They generated some revenue. But they degraded the overall experience and made the PlayStation brand feel less premium.
The same calculus applies to your AI customer service. A bad AI agent technically works. It might even resolve some percentage of tickets. But it degrades your brand and makes customers trust you less.
The AI landscape changes daily, and the temptation to rush deployment is real. But the companies building AI workforces that actually scale customer service aren't the ones shipping fastest — they're the ones shipping quality.
Your customers can tell the difference between an AI agent built to check a box and one built to actually help them. They'll vote with their feet, just like gamers do when they see "Jesus Simulator" in a store.
Build something you'd be proud to use yourself. Everything else is just shovelware.