Aravind Srinivas : Perplexity CEO Aravind Srinivas gives three reasons why and how AI does not matter for iPhone and Apple fans

The market implication is less about whether AI creates a new handset category and more about who owns the control point for identity, payments, and daily authentication. That favors the incumbent ecosystem over standalone AI hardware: any device that depends on a separate login, a new trust framework, or a new payment relationship is fighting a steep adoption curve. For AAPL, the moat is not just hardware share; it is the switching cost embedded in the user’s digital identity layer, which makes AI an augmenting feature rather than a substitution threat.

Second-order, the real beneficiaries of on-device AI are likely Apple’s silicon and component partners, while cloud-only AI infrastructure faces a relative headwind at the margin. If more inference moves locally, it compresses the addressable spend on external GPU cycles for consumer tasks, even if enterprise AI demand remains intact. That creates a subtle rotation risk: consumer-AI monetization expectations may be too high for pure-play AI hardware names, while premium smartphone ASPs and upgrade cycles can stay resilient because AI becomes an added utility, not a replacement catalyst.

The contrarian point is that the consensus may be overstating the pace of product disruption and understating the durability of trust-based ecosystems. However, the medium-term risk to AAPL is not displacement but complacency: if AI features become table stakes and do not lift upgrade rates, the stock can de-rate from narrative expansion even while the franchise remains intact. The key time horizon is 6-18 months, when investors will test whether AI is driving incremental engagement or merely preserving the status quo.