Meta Made Muse Spark 1.1 Paid: How Software Automation and Replacing Moderators with AI Will Hit Facebook Ads
Routine automation in affiliate marketing has always depended on software. Scripts on ZennoPoster or BAS help perform repetitive actions, but they regularly break if the ad account interface changes or at least one button moves. With the release of the new Muse Spark 1.1 model from Meta, the approach to software creation may change, because this AI has learned to manage pages without pre-written steps.
At the same time, Meta is immediately making access to the model paid via API. Mark Zuckerberg needs to recoup billions of dollars spent on the neural network race, and currently, the company depends almost entirely, by 98%, only on advertising revenue. By offering paid access to third-party developers, the company expects to monetize the technology and find a new source of profit.
Working with Interfaces Instead of Rigid Templates
The main feature of Muse Spark 1.1 lies in its ability to navigate unfamiliar websites and personal accounts. The AI itself evaluates the page and chooses how to complete the task faster: write code to automate the process or simply simulate human actions on the screen.
For creators of affiliate software, this means that it is now possible not to write an algorithm for each action manually. A paid API with an element recognition feature allows linking different programs together.
The model will be able to launch an antidetect browser, open a payment service, issue a card, copy the details, and bind it in the Facebook Ads account by itself.
AI Moderation and Risks to Account Stability
In parallel with selling access to developers, Meta is implementing the same algorithms into its own moderation. By the end of 2026, the company plans to replace about 90% of live moderators and support staff with its AI tools.
However, trusting checks to robots is currently risky, as vulnerabilities in AI logic have not yet been resolved. For example, the recent launch of automated support in Instagram ended in a major glitch: hackers were able to bypass protection using specially crafted text prompts and hijacked about 20,000 accounts.
Meta is still rushing the transition to algorithms, and for media buyers, this means new technical problems. While neural networks learn by checking ads, bans will start arriving for no apparent reason, creatives will hang in moderation more often, and passing reviews may drag on for days.
