Even Apple Can't Stop the Flood of "AI Slop Apps"—How Merchants Can Protect Themselves in an Era of Exploding Apps

Series: Structural Changes in the Shopify App Market, Part 2 of 3

In this series, we'll explore the structural changes underway in the Shopify app market in the age of generative AI, focusing on three perspectives: "first-party-ization," where the platform itself integrates excellent features; the "AI slop" of low-quality apps generated by AI; and the reality and choices faced by creators confronting "imitation." This three-part column is for both merchants (store operators) who choose apps and developers who create them.

• Part 1: How to Choose and Create Apps in 2026, as Shopify Apps Become More "First-Party"
• Part 2: The Flood of "AI Slop Apps" That Even Apple Can't Prevent – How Merchants Can Protect Themselves in an Era of Exploding Apps (This Article)
• Part 3: Can Your Designs and Features Be Protected When They're Copied? The Reality and Choices Faced by Creators Confronting "Imitation"

With the dramatic evolution of generative AI, we've entered an era where ideas can be transformed into software in just a few hours. In 2026, with "vibe coding" (creating apps without writing code, or with minimal instructions) becoming commonplace, new structural challenges are emerging in the e-commerce industry.

This refers to "the explosion of apps and the accompanying fluctuation in quality" within the Shopify App Store.

This article analyzes phenomena that first appeared in Apple's App Store and the crowdsourcing market to examine the structural reasons why even platforms with advanced review systems cannot prevent low-quality apps. It then explains concrete self-defense measures for e-commerce businesses (merchants) to protect their stores and customer data.

Lessons from Precedent: The Flood of "AI Slop" and Market Exhaustion

What happens to a market when creation costs fall to the extreme? The answer is clear from precedents in other industries.

Chaos in the Apple App Store / Google Play

In the mobile app market, there has been a surge in apps with shallow functionality mass-produced using AI, and "clone apps" that merely imitate the appearance of popular existing apps. This is the so-called "AI slop app" problem. Users are experiencing severe fatigue in their selection process, finding that when they search, they mostly encounter similar low-quality apps, making it difficult to find truly useful ones.

"Trust Collapse" in the Freelance Market

A similar phenomenon occurred in major crowdsourcing and freelance platforms. A flood of applications with empty proposals written by AI overwhelmed the market, exhausting clients just by sifting through applicants. Ultimately, the clients' choice was not based on price or features offered, but solely on "reliability," such as "proven past achievements" and "identity verification/operational structure."

What both have in common is a structure where "the lowered barrier to creation results in low-quality products flooding the market, pushing the buyer's selection cost to its limit."

Platform's Endeavor and Structural Limitations of the "Review System"

One might think that strict platform reviews could eliminate these issues. Indeed, platform operators like Shopify invest significant resources daily to maintain the quality of their app stores and implement rigorous ecosystem management.

However, in an era where AI has drastically accelerated generation speed, even the most excellent review system will encounter structural limitations.

① Inconsistency between "Compliance (Form)" and "Usefulness (Value)"

Platform reviews primarily focus on the presence or absence of formal rule violations, such as whether an app crashes, adheres to security regulations, or engages in payment fraud.

Using AI, it is easy to create "apps that do not produce errors, have a clean appearance, and perfectly meet regulations." However, the review program cannot judge the intrinsic value of whether such an app is "truly useful for a merchant's business." As long as the regulations are met, there is no strong reason to reject it.

② Asymmetry between Generation Speed and Review Capacity

• Creators (AI): Can output dozens of apps or variations per day with a single prompt.
• Reviewers: Conduct human checks and advanced automated tests, but the resources that can be allocated per app are limited.

The review capacity is structurally unable to keep up with the sheer volume (force of numbers).

③ Review is "at a point (submission)" not "over a line (operation)"

To clarify, Shopify conducts regular automated scans and performance monitoring of apps listed in the store, and is a very advanced platform manager that detects and pre-emptively addresses problematic scripts and errors.

However, monitoring systems primarily detect "technical anomalies (errors or slowdowns)." It is difficult for the system to pre-emptively detect "human abandonment of operations," such as developers losing interest in their business and neglecting support inquiries, or failing to address complex business logic bugs. As a result, the risk of initially normal apps becoming "zombie apps" over time cannot be completely eliminated.

④ Guideline Hacking (Circumvention)

It's often misunderstood, but Shopify's app listing review is by no means lenient. Even diligent developers frequently experience rejections for minor violations in coding or UI, and the platform's efforts to maintain healthiness should be commended.

The problem is that some malicious AI developers have even learned these strict standards and are honing techniques to circumvent the guidelines. An ongoing game of cat and mouse occurs where they pass reviews as "new, separate apps" by slightly altering the UI or adding a dummy feature.

The "Gold Rush" Phenomenon Sweeping Shopify: A Desire for a Big Hit

This structural wave is rapidly expanding across the Shopify ecosystem as well.

The exact same phenomenon that saw the dream of "passive income of several million yen per month from a single hit" in the early days of mobile apps is now occurring in the current Shopify app market. The drastic reduction in development hurdles has led to a mass influx of two types of participants:

• "Gold Rushers aiming for a hit-and-miss approach" ― These are individuals who release a large number of copycat apps or simplistic apps using AI, thinking that if they create ten, one will likely be a hit and monetize. They operate under the assumption that if it hits, it's lucky, and if it doesn't, they'll abandon it, so they have no intention of long-term operation from the outset.
• "Hobbyist/Experimental Developers who stop at 'It works! This is fun!'" ― These are individuals who release apps because the experience of vibe coding itself is enjoyable. Their goal is "creating an app," and they lack the motivation for the tedious inquiry handling and bug fixes that follow.

[Addendum] The Reality of "Selection and Concentration" Even for Professional Development Companies

An important fact to understand here is that even leading domestic Shopify app development companies are shifting from the past approach of launching numerous apps to "selection and concentration" on their core applications.

Releasing an app is not the end. Significant ongoing costs (operation and maintenance costs) are incurred, such as keeping up with quarterly API version updates, adapting to Shopify's evolving platform infrastructure while maintaining backward compatibility, and training specialized CS staff and developing FAQs.

In a market where even specialized development companies must concentrate resources to maintain support and quality, apps released casually or with AI cannot possibly withstand long-term operation and maintenance.

Specific Damage and Risks Faced by Merchants

Carelessly installing "low-quality apps" that merely look impressive or "zombie apps" without operational support can lead to the following serious risks for store operations:

• Sudden support cessation and functional failure (the greatest threat) ― Individuals or hobbyist developers who hoped for a hit app lose enthusiasm within a few months if it doesn't succeed and abandon it. API deprecation by Shopify or unaddressed specification changes frequently lead to issues where the checkout or cart screen suddenly stops working.
• Decreased site speed and worsened conversion rate (CVR) ― Installing apps that generate poorly designed JavaScript or unnecessary external requests significantly slows down the loading speed of an e-commerce site. Delays in display speed directly lead to an increase in abandonment rates and a decrease in sales.
• Security vulnerabilities and data protection risks ― For apps that synchronize customer information and order data with external servers, weak security measures by the developer directly lead to the risk of data breaches.

Five Self-Defense Checkpoints to Identify "Zombie Apps" in the AI Era

To avoid low-quality apps or those at risk of abandonment and to identify apps that can be reliably used as your company's infrastructure, merchants should use the following checklist in order of priority:

① Does the developer have "substance," "operational capacity," and "security certifications" (highest priority)?

Before looking at the app's feature list, first verify "who created it." Check if the development company has a corporate website and if contact information and support response times (SLA) are clearly stated. Furthermore, meeting third-party certifications and standards such as ISO 27001 (ISMS certification) or SOC 2 reports as a company is a strong indicator of having a certain level of organizational capacity and security posture.

② Does it regularly keep up with platform updates?

Check the Shopify App Store update history to see if the app is regularly updated in line with the quarterly API version updates and major feature updates. Although there is a period for which backward compatibility is guaranteed, an app that has not been updated for a long time is a sign that the developer has lost interest and maintenance is lagging.

③ Are you discerning about the "quality" of reviews (countermeasures against fake reviews)?

Simply looking at the "number of 5-star ratings" can be misleading. Apps with many short 5-star reviews like "Great app!" or "Easy to use" might be boosted by early fake reviews. Refer to longer reviews that discuss "specifics of support" or "responses to issues."

④ Are security and data handling policies clearly stated?

For apps that handle customer information and order data, confirm that it is clear where the data is stored (country of server) and what encryption measures are in place. Personal development apps with vague privacy policies significantly increase the risk of security incidents.

⑤ Are the uninstallation cleanup process and data deletion procedure clearly stated?

In the event that you need to cancel the app, confirm whether the specifications ensure that unnecessary code is not left in the store and if a policy for safe deletion of retained data after a certain period (or manual deletion procedure) is clearly stated. Ensuring safety upon withdrawal is also a crucial selection criterion.

Conclusion: In the "Era Where Anyone Can Code," What Value Truly Remains?

In an era where the barriers to writing code and creation costs have drastically decreased, the value of "simply having a function" itself has plummeted.

Shopify's advanced platform monitoring and rigorous review processes are precisely why the App Store maintains such high quality. However, the final piece, discerning "long-term operational reliability," is entrusted to the merchants themselves.

This is a crucial guideline not only for merchants but also for developers genuinely committed to the Shopify ecosystem. The phase of competing with "superficial feature additions" is over; deep domain knowledge and robust operational systems are now the greatest barriers to entry (strengths).

In future EC app selection, merchants should not invest in "the number of features." Instead, they should invest in the reliability behind it: "the developer's domain knowledge," "security posture," and "the operational capacity to maintain and support the system long-term."

Moving beyond selection based on "it's been approved, so it's fine" and adopting selection criteria that define a partner for business growth is the most critical self-defense measure for maintaining store health and sales in the age of AI explosion.

In Part 3, we shift our perspective to the "creators." We will consider what can and cannot be protected when designs and features created with time and cost are imitated, based on our own experiences.

Disclaimer

• This article is based on publicly available information as of August 2026 and our company's views. The review and monitoring systems of each platform may change.