Instinct founder said more than 50% of transactions on the platform are travel-related

The ubiquitous demonstration of artificial intelligence tools often features users engaged in a seemingly endless back-and-forth with an assistant to secure travel arrangements. This recurring scenario isn’t merely a creative choice; it reflects the profound reality that booking flights, hotels, and other travel components remains one of the most frequent and complex use cases for AI assistants. The emergent viral AI agent, Instinct, is a prime testament to this trend. According to Noah Shinn, the company’s founder, an overwhelming majority – over 50% – of all transactions processed on the Instinct platform are related to travel. This striking statistic was revealed during Shinn’s appearance on a recent podcast, underscoring the platform’s burgeoning success in a sector ripe for digital disruption.

In his candid conversation with prominent investor Patrick O’Shaughnessy, Shinn further elaborated on Instinct’s rapid ascent. He disclosed that the invite-only platform is on the cusp of achieving an astounding annual transaction volume of one billion dollars. While Shinn did not provide the precise methodology behind this impressive valuation, the sheer magnitude of the figure speaks volumes about the platform’s adoption and the value it’s generating. This milestone positions Instinct as a significant player in the evolving landscape of personal AI agents, a space that is rapidly attracting substantial investment and intense competition.

Shinn articulated the core value proposition of Instinct by contrasting it with traditional methods of travel booking. "People who are not on Instinct use travel agencies (or sites) to book hotels or flights," he explained. "What’s the benefit of that interface? They properly unify different hotel chains, airlines, and services, and present them in a nice way for users, who have the option to check out immediately." This statement highlights the fragmentation and often clunky user experience inherent in existing online travel agencies. Shinn then presented the alternative offered by Instinct: "I think there is a better experience with Instinct or other interfaces where users can say, ‘Hey, I need to be in New York tonight; it’s urgent.’" This powerful example encapsulates the essence of an AI agent’s potential – to understand nuanced, time-sensitive requests and act with immediate efficacy, a capability that traditional interfaces struggle to replicate.

The growth trajectory of Instinct appears nothing short of explosive. Shinn revealed that the platform is experiencing a remarkable daily growth rate of 10%, with transaction volume mirroring this accelerated expansion. Such rapid, compounding growth is a rare phenomenon and signals strong product-market fit and significant user demand. This sustained momentum has undoubtedly contributed to the recent significant financial backing the company has secured.

Beyond its success in travel, Shinn’s commentary on the podcast also touched upon a more controversial aspect of Instinct’s ambition: the reinvention of restaurant reservations. This discussion, however, drew considerable scrutiny and criticism. Shinn suggested that current first-come, first-served reservation systems employed by most restaurants fail to acknowledge or accommodate special occasions. He posited that an AI agent could theoretically monitor restaurant websites every five seconds, identifying and securing available slots. More controversially, Shinn hinted at a broader company vision to "reinvent reservations and give users preferential treatment."

Delving deeper into this vision, Shinn elaborated, "If you take restaurant reservations from scratch, from the user’s end, they want the reservation for a significant life event that they might have. And on the restaurant end, they just want interesting people. They want special occasions. They want to cater to those rather than, maybe, the local [person] who keeps, you know, taking up a table once a night [sic], and there’s no sort of special event there." This perspective ignited a firestorm online, with observers accusing the company of promoting a system that could lead to dishonesty and a disregard for loyal local patrons.

The backlash was swift and vocal. Several observers pointed out the potential for users to simply lie about anniversaries or other special occasions to secure coveted reservations through an AI agent. Critics argued that such a system could be easily gamed, undermining the integrity of reservation platforms. Furthermore, a counter-argument emerged suggesting that many restaurants actually value local patrons, recognizing them as regulars who provide consistent business and foster a community atmosphere. This debate highlights the ethical complexities and potential unintended consequences of leveraging AI to optimize access to desirable services.

Despite the controversy surrounding Shinn’s remarks on reservations, Instinct’s underlying business fundamentals appear exceptionally strong. The company recently announced a colossal $1 billion in Series C funding, a testament to its perceived potential and market traction. This funding round, reportedly led by prominent venture capital firms Sequoia Capital, Benchmark Capital, and Coatue, values the 14-member startup at an impressive $10 billion. This substantial valuation, particularly for a lean startup, underscores investor confidence in Instinct’s AI agent technology and its disruptive capabilities.

The competitive landscape for personal AI agents is intensifying, with Instinct now positioned alongside formidable players. The company is vying for dominance in this nascent market against established tech giants and well-funded startups. Among its key competitors are Meta’s Muse, a product from one of the world’s largest technology companies, and Wajo, a Khosla-backed venture. The presence of such high-profile competitors indicates that the personal AI agent space is viewed as a significant frontier in the evolution of human-computer interaction and a lucrative area for future growth.

The emergence of agents like Instinct signifies a potential paradigm shift in how individuals interact with digital services. While the travel sector has clearly demonstrated its immediate value, the broader implications for other service industries, such as dining, are still being explored and debated. The ability of AI agents to understand complex, context-dependent requests and execute them efficiently promises to streamline many aspects of daily life. However, as the restaurant reservation debate illustrates, this promise is intertwined with significant ethical considerations. The challenge for companies like Instinct will be to harness the power of AI to create truly beneficial and seamless user experiences without compromising fairness, transparency, or existing community dynamics.

The success of Instinct, evidenced by its rapid growth and substantial funding, suggests that consumers are indeed seeking more intelligent, proactive, and personalized digital assistants. The platform’s ability to handle over half of its transactions for travel bookings indicates that AI agents are moving beyond simple chatbots and becoming powerful tools for complex task completion. The ongoing development and deployment of such agents will undoubtedly reshape industries and redefine user expectations for digital interaction in the years to come, prompting ongoing dialogue about the responsible and equitable application of artificial intelligence. The company’s valuation and funding suggest that investors believe Instinct is at the forefront of this transformative wave, poised to capture a significant share of a rapidly expanding market.