S&P 500DowNASDAQRussell 2000FTSE 100DAXCAC 40NikkeiHang SengASX 200ALEXALKBOHCPFCYANFHBHEMATXMLPNVDAAAPLGOOGLGOOGMSFTAMZNMETAAVGOTSLABRK.BWMTLLYJPMVXOMJNJMAMUCOSTBACORCLABBVHDPGCVXNFLXKOAMDGECATPEPMRKADBEDISUNHCSCOINTCCRMPMMCDACNTMONEEBMYDHRHONRTXUPSTXNLINQCOMAMGNSPGIINTUCOPLOWAMATBKNGAXPDELMTMDTCBADPGILDMDLZSYKBLKCADIREGNSBUXNOWCIVRTXZTSMMCPLDSODUKCMCSAAPDBSXBDXEOGICEISRGSLBLRCXPGRUSBSCHWELVITWKLACWMEQIXETNTGTMOHCAAPTVBTCETHXRPUSDTSOLBNBUSDCDOGEADASTETHS&P 500DowNASDAQRussell 2000FTSE 100DAXCAC 40NikkeiHang SengASX 200ALEXALKBOHCPFCYANFHBHEMATXMLPNVDAAAPLGOOGLGOOGMSFTAMZNMETAAVGOTSLABRK.BWMTLLYJPMVXOMJNJMAMUCOSTBACORCLABBVHDPGCVXNFLXKOAMDGECATPEPMRKADBEDISUNHCSCOINTCCRMPMMCDACNTMONEEBMYDHRHONRTXUPSTXNLINQCOMAMGNSPGIINTUCOPLOWAMATBKNGAXPDELMTMDTCBADPGILDMDLZSYKBLKCADIREGNSBUXNOWCIVRTXZTSMMCPLDSODUKCMCSAAPDBSXBDXEOGICEISRGSLBLRCXPGRUSBSCHWELVITWKLACWMEQIXETNTGTMOHCAAPTVBTCETHXRPUSDTSOLBNBUSDCDOGEADASTETH

AI-Powered Phone Assistants Could Reshape Customer Interaction for Hawaii Small Businesses and Tourism Operators

·4 min read·👀 Watch

Executive Summary

New AI capabilities in Android phones can now automate complex, multi-step customer tasks like ordering and booking, potentially altering consumer expectations for service businesses across Hawaii. Small businesses and tourism operators should prepare for these shifts by monitoring AI adoption and adapting their interaction channels over the next 6-12 months.

Watch & Prepare

Medium PriorityNext 6-12 months

Businesses that rely on phone orders or ride-sharing may see shifts in customer interaction patterns and need to adapt their systems for new AI-driven ordering methods over the next 6-12 months.

Monitor consumer adoption rates of AI agents on new Android devices. Observe if AI-generated orders or bookings become a significant channel for your business. If direct AI-driven requests constitute more than 10% of incoming inquiries or orders within the next 12 months, evaluate current communication channels and consider integrating with platforms that support AI agent interactions.

Who's Affected
Small Business OperatorsTourism Operators
Ripple Effects
  • AI-driven order automation for restaurants → potential reduction in direct phone-in orders → need for businesses to integrate with AI platforms
  • Increased AI capability for booking travel → personalized, automated itinerary management for tourists → pressure on tourism operators to offer AI-compatible booking options
  • AI handling routine tasks → shift in demand for service labor → potential decrease in entry-level service jobs and increased demand for roles requiring complex problem-solving and guest experience management in Hawaii's hospitality sector
A digital representation of how large language models function in AI technology.
Photo by Google DeepMind

The Change

Google has announced that its Gemini AI will soon gain agentic capabilities, enabling it to perform multi-step tasks on smartphones, such as ordering food or hailing rides. This functionality is set to debut on upcoming Google Pixel and Samsung Galaxy devices. While similar features were previewed by Apple for Siri, their release has been delayed. The Gemini agentic features are expected to be available on select new Android phones starting in the near future, with wider adoption anticipated as new devices are released and updated.

This development signifies a move towards AI assistants that can proactively manage user requests, reducing the need for direct human interaction for routine transactions. For businesses, this means potential new avenues for customer engagement, but also the need to ensure their systems can interface with these AI agents.

Who's Affected

  • Small Business Operators: Restaurants, cafes, retail shops, and service providers will need to consider how AI agents might handle customer orders, bookings, and inquiries. Current reliance on direct phone calls or simple online forms may become less effective if customers expect AI-driven conversational interfaces to manage their needs.
  • Tourism Operators: Hotels, tour companies, and vacation rental agencies may see AI assistants begin to manage booking modifications, service requests (like room service or tour bookings), and initial inquiries. This could streamline some processes but also requires integration with booking systems and a clear communication strategy for AI-generated requests.

Second-Order Effects

  • Shifting Customer Interaction Channels: Increased reliance on AI agents for ordering and booking, potentially bypassing traditional phone lines or online forms. This could lead to reduced direct customer contact for small businesses, impacting opportunities for upselling or personalized service.
  • Demand for AI-Interoperable Systems: Businesses may face pressure to integrate their point-of-sale (POS) and booking systems with common AI platforms, leading to new technology adoption costs and potential vendor lock-in.
  • Visitor Experience Expectations: Tourists equipped with advanced AI assistants may expect seamless, automated service interactions, potentially favoring businesses that facilitate AI-driven bookings and requests, thereby influencing tourism operator competitiveness.
  • Labor Market Adjustments: As AI handles more routine transactional tasks, demand may shift towards roles requiring human empathy, complex problem-solving, and personalized guest experiences, particularly in Hawaii's service-oriented economy.

More from us