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

The burgeoning field of artificial intelligence, once a theoretical concept, is rapidly manifesting in practical applications that are reshaping everyday consumer behavior. Among the most ubiquitous demonstrations of AI’s prowess is the seemingly endless sparring match between users and their digital assistants to orchestrate travel plans. This recurring use case is not merely a convenient demo; it reflects a fundamental shift in how individuals approach booking flights, hotels, and accommodations. The viral AI agent, Instinct, stands as a testament to this trend, with its founder, Noah Shinn, revealing in a recent podcast appearance that over half of all transactions processed through the platform are dedicated to travel. This insight, shared during an interview with investor Patrick O’Shaughnessy, underscores the profound reliance users are placing on AI for complex logistical tasks.

Instinct, currently operating on an invite-only basis, is reportedly on the cusp of achieving a remarkable milestone: one billion dollars in annual transactions. While Shinn did not elaborate on the precise methodology behind this projection, the sheer scale of the figure speaks volumes about the platform’s rapid ascent and market penetration. He articulated the core value proposition of interfaces like Instinct by contrasting them with traditional travel agencies and booking websites. “People who are not on Instinct use travel agencies (or sites) to book hotels or flights. 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,” Shinn explained. This highlights the inherent friction and fragmentation that often plague the existing travel booking ecosystem.

However, Shinn posits that Instinct offers a superior, more intuitive user experience. “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,’” he elaborated, emphasizing the agent’s ability to handle time-sensitive and complex requests with a level of urgency and efficiency that human agents or clunky websites struggle to match. This is a critical differentiator in a world where spontaneous travel and last-minute needs are increasingly common.

The platform’s growth trajectory is nothing short of explosive. Shinn revealed that Instinct is experiencing a remarkable 10% daily growth rate, with transaction volume escalating in lockstep. This exponential expansion suggests that the AI agent is not only gaining traction but is also becoming an indispensable tool for a growing user base. This rapid adoption rate, if sustained, positions Instinct as a formidable player in the competitive AI landscape.

Beyond its primary success in travel, Shinn also touched upon the company’s ambitions to revolutionize other service sectors, specifically restaurant reservations. His comments on the podcast, however, sparked considerable debate and drew criticism from some observers. Shinn proposed that AI agents could significantly enhance the restaurant reservation experience by circumventing the often-frustrating first-come, first-served systems. He argued that such systems fail to acknowledge and accommodate special occasions, a sentiment he believes is central to the user’s desire for a memorable dining experience. “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,” Shinn stated.

He suggested that an AI agent could continuously monitor restaurant websites, checking for available slots every five seconds, and proactively inform users about openings that align with their needs. This vision extends to the restaurant’s perspective, where Shinn implied a desire to prioritize patrons celebrating special events over potentially less lucrative, regular customers. The implication is that AI could act as a sophisticated arbiter, matching patrons with desired experiences to establishments seeking to cultivate a particular clientele. Shinn further hinted at the company’s broader goal to "reinvent reservations and give users preferential treatment."

This particular stance ignited a firestorm on social media platforms. Critics pointed out the potential for AI agents to fabricate special occasions, such as anniversaries or birthdays, simply to secure a coveted reservation, thereby undermining the integrity of the system. Some observers argued that this approach could lead to a form of digital deception, where the AI prioritizes the user’s immediate desire over genuine circumstances. Furthermore, a counterargument emerged emphasizing the value of local patrons. Some restaurants, it was noted, indeed prefer regulars who contribute consistently to their business and foster a sense of community, rather than infrequent visitors who might only book for a single, albeit "special," occasion. This highlights a potential disconnect between Shinn’s envisioned ideal and the practical realities of restaurant management and customer loyalty.

Adding to the narrative of Instinct’s rapid growth and ambitious vision, the company recently secured a significant funding round. Instinct raised a staggering $1 billion in Series C funding, achieving a valuation of $10 billion. The funding was led by prominent venture capital firms Sequoia Capital, Benchmark Capital, and Coatue. This substantial investment underscores the confidence that major financial players have in Instinct’s technology and its potential to disrupt multiple industries. The startup, remarkably lean with only 14 employees, is now positioned to aggressively compete in the burgeoning personal agent space. Its rivals include Meta’s Muse and the Khosla-backed Wajo, indicating a crowded but highly lucrative market segment.

The emergence of AI agents like Instinct represents a paradigm shift in how we interact with technology and services. While the initial focus has been on practical applications like travel booking, the ambition to reshape experiences in areas like dining suggests a broader aspiration to create a more personalized and perhaps more stratified digital ecosystem. The controversy surrounding Shinn’s comments on restaurant reservations highlights the ethical considerations and societal implications that accompany such advancements. As AI becomes more sophisticated and integrated into our lives, the debates around its deployment, fairness, and impact on human relationships will undoubtedly intensify. The success of Instinct, coupled with the significant capital it has attracted, signals that these AI-powered personal assistants are not just a fleeting trend but a foundational element of the future digital landscape. The journey from booking a flight to securing a prime table at a restaurant, all orchestrated by an AI, is a future that is rapidly unfolding, bringing with it both immense potential and complex challenges.