Meta pulled its AI image generation feature after three days amid privacy backlash from users and SAG-AFTRA. The incident raises questions about its AI rollout as it plans $115B-$135B in 2026 capex.
Alpha Score of 57 reflects moderate overall profile with weak momentum, weak value, strong quality, moderate sentiment.
Meta pulled an artificial intelligence image generation feature three days after launching it, following a wave of privacy complaints from users and the actors' union SAG-AFTRA.
The tool, introduced July 7, let anyone create an image of another person by typing that person's public Instagram username into a prompt. Public accounts were included by default unless the account holder navigated to a settings page to opt out. By July 10, the feature was gone.
“Our intent was to provide a useful creative tool and to give people control over whether their public content could be referenced in this way,” Meta said in a statement shared by Reuters. “We’ve heard the feedback that this feature missed the mark, so it’s no longer available.”
The opt-out did not apply retroactively. Images generated before a user turned off the setting remained in the system. Meta's own policy states that users “will not be notified about content created using AI features at Meta,” as PYMNTS reported last week.
SAG-AFTRA, which represents actors and other media professionals, urged its members and other Instagram users to opt out of the feature before it was removed. The union called the default opt-in “an utter miscalculation of public sentiment regarding the obvious dangers and harms inherent in such use.” After Meta's decision, a union spokesperson welcomed the move, calling it “the responsible thing to do.”
The episode comes as Meta faces mounting pressure to show that its AI investments are generating revenue. The company in April forecast AI capital expenditures of $115 billion to $135 billion for 2026, nearly double last year's spending. The quick reversal on a consumer-facing AI product raises questions about how the company balances speed of deployment with user privacy expectations, particularly as regulators in multiple jurisdictions examine the same issues.
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