In a recent LinkedIn post, Linas Beliūnas delves into Elon Musk’s bold prediction that the traditional smartphone is on the verge of extinction. Beliūnas frames Musk’s vision not as a simple technological upgrade, but as a fundamental shift towards an AI-centric interaction model, moving away from apps and operating systems towards a seamless, predictive AI experience.
The Demise of the App and the Rise of the AI Node
Beliūnas highlights Musk’s assertion that in approximately five to six years, the devices we currently know as smartphones will transform into ‘AI edge nodes.’ This means the focus will shift from distinct applications to a singular, personalized AI that anticipates user needs.
“In 5-6 years, we won’t have phones in the traditional sense. What we call a phone will really be an AI edge node – no apps, no OS, just AI.”
According to Beliūnas, this future envisions a device that acts as a ‘window into a personal AI,’ capable of delivering information and performing tasks proactively. He elaborates on this concept by describing a scenario where an AI might present morning news, a gym plan, or commute information without any user input.
Technological Underpinnings of the AI Shift
Beliūnas points to advancements in edge computing as a key enabler of this predicted future. He notes the increasing capability of on-device processors to handle complex AI models, significantly reducing latency.
“Edge chips now run 13B-parameter models on-device, cutting latency by up to 70%.”
This technological progress, Beliūnas argues, is paving the way for the seamless integration of AI into our daily lives, making the concept of a device that ‘just thinks’ more plausible.
Implications for Risk, Finance, and the App Economy
Beyond the user experience, Beliūnas explores the profound implications of this shift for critical sectors like risk and finance. He suggests that a future populated by ‘always watching, always anticipating’ devices necessitates a heightened focus on security and compliance.
In Beliūnas’s view, this is where platforms focused on AI risk decisioning become crucial. He mentions:
“Because when the phone fades into an ‘AI window,’ your trust surface expands dramatically.”
Furthermore, Beliūnas discusses the potential disruption to the established app economy, estimated to be worth over $500 billion. He posits that if Musk’s vision materializes, major tech players like Apple and Google, along with countless developers, would need to fundamentally rethink their strategies, shifting from app development to creating ‘AI plugins.’
The Convenience-Privacy Conundrum
A significant aspect of this AI-driven future, as highlighted by Beliūnas, is the intensified convenience-privacy tradeoff. For an AI to truly anticipate every need, it would require unprecedented access to personal data.
“To anticipate your every need, your AI must see everything. Every search. Every movement. Every breath.”
Beliūnas frames this as the ‘convenience-privacy tradeoff goes nuclear,’ suggesting that the future holds either a radically convenient, albeit less private, experience or a more cautious approach, often debated as ‘Black Mirror’ scenarios versus Musk’s optimistic outlook.
Ultimately, Beliūnas concludes his post by emphasizing that the evolution of personal technology is moving towards an era where devices are more intelligent and integrated, potentially redefining our relationship with technology itself.
📝 About This Content
This article is based on insights shared by Linas Beliūnas on LinkedIn.
📅 Originally posted on November 5, 2025 | View original post on LinkedIn →