What happened
Meta CEO Mark Zuckerberg said on Wednesday's earnings call that large language models (LLMs) are enabling the company to ship software faster. The company has recently launched several new standalone apps—including Forum (a Groups app), Seller (a Marketplace app), Instagram Instants, and others—and Zuckerberg stated he expects it to become easier to launch new apps going forward.
Why it matters
Meta has a history of failed app launches; earlier efforts like Creative Labs (which produced Slingshot, Rooms, and Paper before being shuttered in 2015) and the NPE Team (which tested apps including Bump, Aux, and Spark) saw none become breakout successes. AI-powered development could help the company finally break that pattern and test new ideas at a quicker pace, allowing it to use its recommendation systems to scale them.
What to watch
Threads, Meta's existing standalone app, now has 500 million monthly active users, and Zuckerberg has said he expects it to one day become the company's next billion-user app. The company is planning to build out more ideas and will have additional new products soon, according to Zuckerberg.
Summaries like this, in your inbox every morning.
Meta's announcement that AI is accelerating its app development process marks a significant shift in how the company approaches product launches after decades of unsuccessful standalone app experiments. The company's history reveals a persistent challenge: despite multiple dedicated internal programs designed to test new social concepts, none of those efforts produced sustainable hits. Creative Labs, which operated in Meta's earlier days, produced memorable failures like Slingshot and Paper before being shut down in 2015. The NPE Team, launched in the early 2020s, tested dozens of apps—from Bump to Spark to Tuned—but again, none achieved meaningful scale.
Zuckerberg's confidence that LLMs will change this dynamic rests on a specific claim: that AI allows Meta's teams to ship software faster and test ideas at a quicker pace, paired with the ability to leverage the company's recommendation systems to scale winning products. The example Zuckerberg pointed to is Threads, which reached 500 million monthly active users—modest compared to Meta's core platforms, but presented as proof that the new approach works. Whether the recent launches of Forum, Seller, Instagram Instants, and others will prove more durable than previous experiments remains an open question, but the company's willingness to accelerate experimentation signals it believes AI has solved a real constraint in its product development process.
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