AI agents: The next shift in consumer technology
From apps to autonomous AI agents, the future of consumer tech is evolving rapidly.
1The rise of AI agents
AI agents are autonomous software systems that perform tasks on behalf of users, such as booking cabs or making restaurant reservations without requiring app interactions. Meta's Muse Agent topped Apple's App Store within two weeks of launch, while Google Gemini has reached 1 billion monthly active users with a sevenfold year-over-year increase in token usage. This suggests AI agents may soon replace mobile apps as primary interfaces for digital services.
2Enterprise to consumer shift
While AI agents have been primarily tested in enterprise settings for customer service, coding, and data analysis, consumer applications are now emerging. Qualcomm's Durga Malladi notes this represents a fundamental shift in device interaction, where users increasingly communicate directly with AI agents rather than through traditional app interfaces. The success of Muse and Gemini indicates consumer readiness for this transition.
3Hardware implications
The shift to agentic AI requires new chipset designs to handle computational demands. Qualcomm's new Snapdragon 8 Elite Gen 6 and Extreme Gen 6 chips signal this transition, enabling personalized AI that understands context, remembers conversations, and builds private knowledge graphs. These capabilities will allow agents to provide nuanced responses and handle complex personal tasks.
4Privacy and trust challenges
AI agents require access to sensitive personal data like emails and bank accounts to perform tasks autonomously. Qualcomm CEO Cristiano Amon identifies trust and convenience as critical prerequisites for adoption. The technology must guarantee security and privacy while maintaining ultimate user control, addressing concerns about data access and agent reliability.
5Behavioral shift in progress
Malladi predicts a gradual change in consumer behavior where agents become primary interfaces, with apps receding to secondary options. While full transition isn't immediate, the utility of apps is diminishing relative to agents. This mirrors how AI already operates invisibly in current devices, like computational photography in smartphone cameras.
6Enterprise vs consumer AI
Enterprise AI focuses on operational efficiency, while consumer AI must seamlessly integrate into daily life. Malladi emphasizes that consumer AI's value lies in becoming an invisible yet powerful tool. The metric for consumer AI success differs from enterprise - measured by convenience and productivity rather than workflow optimization.
7The invisible AI future
Malladi envisions a future where consumers use AI agents so frequently they forget about the underlying technology. This mirrors current experiences where users benefit from AI without recognizing its presence. The distinction between enterprise and consumer AI applications highlights different adoption paths and success metrics for the technology.
8Industry transformation
The rapid adoption of AI agents signals a fundamental shift in consumer technology. As Qualcomm and other tech giants develop supporting hardware and software, we're witnessing the early stages of a transition from app-centric to agent-centric digital experiences. This evolution will redefine how consumers interact with technology in their daily lives.
Original article: Technology | The Indian Express — AI agents: The next shift in consumer technology