Meta Hires Apple AI Chief Amid Talent War Surge
Meta’s formation of a “superintelligence” team is no longer rumoured; it’s a visible force disrupting the AI landscape, particularly within the telecommunications sector. The latest development: Ruoming Pang, formerly Apple’s top AI executive and head of its foundational models team, has joined Meta in a deal reportedly worth tens of millions of dollars per year.
According to Bloomberg sources, Meta secured Ruoming as part of a broader campaign to attract elite AI talent, with CEO Mark Zuckerberg personally courting top candidates at his homes in Silicon Valley and Lake Tahoe.
The move highlights Meta’s aggressive posture in shaping the next generation of AI, with significant implications for telecom providers who rely on foundational models for customer service, network optimisation and generative automation.
High-stakes recruitment in a competitive AI landscape
Ruoming is not the only heavyweight joining Meta’s AI offensive. It has brought together AI luminaries, including Scale AI’s Alexandr Wang, former GitHub CEO Nat Friedman and Daniel Gross, co-founder of Safe Superintelligence.
OpenAI researcher Yuanzhi Li and Claude expert Anton Bakhtin have additionally leapt.
The unprecedented hiring spree follows Meta’s restructuring of its AI teams in June, with a focus on developing superintelligence, AI that can perform tasks at or above human-level capability.
It’s a clear signal to the industry: the competition for AI leadership and innovation has entered a new phase and telecommunications businesses should take note.
Meta’s ambitions are matched by significant investment. Reports suggest that it will spend tens of billions of dollars on AI in 2025, much of it on infrastructure such as hyperscale data centres and custom AI chips.
For telecom operators, it points to a future where foundational AI becomes not just a support tool but a strategic differentiator in network performance and customer experience.
Apple’s internal AI struggles surface
At Apple, Ruoming led a 100-person team known as AFM (Apple Foundation Models), responsible for the core LLMs powering Apple Intelligence across its operating systems. The models support features like Genmoji, Priority Notifications and natural language summaries of content.
Apple’s June announcement to open its models to third-party developers marked a significant step forward. However, the internal momentum appears to be faltering. New leadership has begun exploring external models—reportedly from OpenAI and Anthropic—for future Siri versions, a decision that has eroded morale within the AFM team.
Ruoming’s departure could trigger a broader exodus. His deputy, Tom Gunter, left the company last month and others are reportedly preparing to follow suit.
One telecom insider commented, “It’s a cautionary tale when internal strategy lacks clarity, leadership and IP walk out the door.
"That’s not just Apple’s issue. It could affect any operator leaning into AI without a stable vision.”
Restructuring signals shifting power at Apple
Following Ruoming’s exit, the AFM team will now report to Zhifeng Chen, supported by a decentralised leadership structure. It contrasts with Ruoming’s direct management style.
Meanwhile, the overall AI strategy at Apple has shifted to Craig Federighi, Senior Vice President of Software Engineering and Mike Rockwell, known for his work on Apple Vision Pro.
John Giannandrea, Senior Vice President of AI, now focuses primarily on research and has been sidelined from key operational components, such as Siri and Core ML, reflecting broader unease within Apple’s AI trajectory.
The leadership shuffle comes on the heels of lukewarm reactions to Apple Intelligence and continued delays in delivering meaningful Siri enhancements, like its ability to access user data across apps.
Implications for telecommunications providers
The telecoms sector sits at the crossroads of AI deployment, both as a service enabler and as a user of AI for operational efficiency.
With Meta consolidating talent and Apple’s foundational AI under stress, telecom providers must assess their dependencies on large tech platforms and consider building or reinforcing in-house AI capabilities.
In an environment where one executive move can shift industry momentum, agility and clarity of vision are now critical. As one senior telecom strategist noted: “AI isn’t a bolt-on anymore. It’s infrastructure. And whoever controls the models controls the market.”
Telecoms players must act decisively. Whether partnering, investing, or building AI capabilities internally, the window for securing competitive advantage is rapidly narrowing.
