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Exploring the Future of Travel: AI and Seamless Journeys to Maui, Sicily, and Thailand by 2035

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Tuesday, July 1, 2025

As travel technology evolves, destinations like Maui, Sicily, and Thailand are paving the way for an entirely new travel experience. In a decade, travel could look drastically different, thanks to AI-driven platforms that prioritize convenience, emotion, and personalization. According to a recent report by Omio, a travel app and website that integrates bus, train, ferry, and air bookings, the future of travel will be transformed. This report, produced in partnership with The Future Laboratory, highlights how travel platforms will shift from transactional to transformational by 2035.

In this new era of travel, it won’t just be about getting from point A to point B. Instead, the focus will be on how the entire journey feels and adapts along the way. Martin Raymond, co-founder of The Future Laboratory, explains that by 2035, travel will no longer be merely about logistics. It will be about an experience tailored to individual needs and emotions.

AI-Powered Travel: More Personal Than Ever Before

By 2035, AI will play an essential role in shaping how travelers experience every aspect of their journey. The World Travel & Tourism Council predicts that travel and tourism will contribute over $17 trillion to the global economy by this time, with the next generation—Generation Alpha—leading the charge. This younger generation, born between 2010 and 2024, will be accustomed to growing up with mobile devices and expect seamless integration between technology and travel.

For instance, AI will curate travel itineraries based not just on popularity, but on personal interests. Whether you like a particular type of food or have a preferred seat on the plane, AI will be able to make suggestions based on your unique preferences. More importantly, AI will help optimize your travel experience by offering suggestions tailored to your budget, habits, and emotional needs.

Travel will no longer be about pre-planned itineraries or rigid schedules. Instead, travelers will book on the spot, sometimes even while enjoying content on social media or streaming platforms. Imagine enjoying an episode of a travel-themed show on Netflix, where a particular location captures your attention. With AI-powered platforms, a seamless transition to booking a flight or trip will be possible right in the middle of your binge-watching session.

Intermodal Travel: A Seamless Journey Across Multiple Transport Modes

The future of travel is not just about destinations, but also about how we move between them. Intermodal travel, which involves using multiple modes of transport for a single journey, will become more prevalent. This could include hopping on a bus, followed by a flight, and then taking a train to your final destination— all coordinated through a single travel platform.

Omio has already begun integrating intermodal travel into its system, allowing travelers to seamlessly book tickets across different transport modes. In addition, travelers will be able to use a single digital platform to track all their travel documents, receive updates, and make real-time changes as needed. As AI becomes more advanced, it will even optimize your route based on factors like weather disruptions or local strikes, ensuring your journey remains smooth despite unforeseen challenges.

In a world where everything is streamlined, packing light will also be encouraged. Travelers will be able to manage their luggage by using services that pre-deliver their clothes or accessories to their destination, reducing the need to carry extra baggage and cutting down on carbon emissions.

The Role of Entertainment in Shaping Travel Choices

Another trend that is already gaining momentum is the influence of entertainment content on travel decisions. The success of shows like HBO’s The White Lotus has led to a surge in travel bookings to locations like Maui, Sicily, and Thailand. With more people influenced by social media influencers and travel-themed shows, travel platforms will begin to integrate entertainment content into their services. This means that while you’re watching your favorite travel show, you’ll be able to book a trip to the featured destination directly from the platform.

In fact, platforms like YouTube have already become significant sources of travel inspiration, with users turning to them for travel tips and recommendations. As Roya Zeitoune, YouTube’s Head of Culture and Trends for Europe, the Middle East, and Africa, explains, raw, unpolished content is now more trusted by travelers, making it easier for brands to integrate travel booking options directly into the viewing experience.

The Rise of AI-Driven Customer Service and Smart Booking

As we move closer to 2035, AI-driven customer service will become a staple in the travel industry. The Hilton 2025 Trend Report shows that 78% of travelers prefer to book their travel online without interacting with someone directly. AI will make this possible by helping customers not only with booking but also with managing their entire journey, from checking flight status to rerouting due to delays.

Moreover, AI will play an essential role in dealing with potential disruptions like weather changes, helping travelers make informed decisions in real-time. The system could also predict potential problems based on historical data and adapt itineraries accordingly.

Future Outlook: The Seamless Travel Experience of Tomorrow

By 2035, we will be in the midst of a travel revolution. Maui, Sicily, and Thailand could be the hotspots, but it’s the technologies transforming the experience that will take center stage. AI, intermodal travel, and entertainment-driven bookings will work together to create an entirely new way of experiencing the world.

Whether you’re traveling for leisure, business, or a mix of both, the future promises smoother, more personalized, and seamless journeys. For Generation Alpha, who will have grown up with AI-powered travel systems, booking a trip could be as easy as swiping through a social media feed.

This is not a distant future— it’s one that is just around the corner. By 2035, your travel experience may feel less like planning and more like enjoying an adventure that unfolds effortlessly, tailored just for you.



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India’s Travel Revolution: How Map My Tour is Transforming Tourism with AI-Powered Personalization in New Delhi and Beyond – Travel And Tour World

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India’s Travel Revolution: How Map My Tour is Transforming Tourism with AI-Powered Personalization in New Delhi and Beyond  Travel And Tour World



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OpenAI Rolls Out ChatGPT Agent Combining Deep Research and Operator 

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OpenAI has launched the ChatGPT agent, a new feature that allows ChatGPT to act independently using its own virtual computer. The agent can navigate websites, run code, analyse data, and complete tasks such as planning meetings, building slideshows, and updating spreadsheets. 

The feature is now rolling out to Pro, Plus, and Team users, with access for Enterprise and Education users expected in the coming weeks.

The agent integrates previously separate features like Operator and Deep Research, combining their capabilities into a single system. Operator allowed web interaction through clicks and inputs, while deep research focused on synthesis and summarisation. 

The new system allows fluid transition between reasoning and action in a single conversation.

“You can use it to effortlessly plan and book travel itineraries, design and book entire dinner parties, or find specialists and schedule appointments,” OpenAI said in a statement. “ChatGPT requests permission before taking actions of consequence, and you can easily interrupt, take over the browser, or stop tasks at any point.”

Users can activate agent mode via the tools dropdown in ChatGPT’s composer window. The agent uses a suite of tools, including a visual browser, a text-based browser, terminal access, and API integration. It can also work with connectors like Gmail and GitHub, provided users log in via a secure takeover mode.

All tasks are carried out on a virtual machine that preserves state across tool switches. This allows ChatGPT to browse the web, download files, run commands, and review outputs, all within a single session. Users can interrupt or redirect tasks at any time without losing progress.

ChatGPT agent is currently limited to 400 messages per month for Pro users and 40 for Plus and Team users. Additional usage is available through credit-based options. Support for the European Economic Area and Switzerland is in progress.

The standalone Operator research preview will be phased out in the coming weeks. Users who prefer longer-form, slower responses can still access deep research mode via the dropdown menu.

While slideshow generation is available, OpenAI noted that formatting may be inconsistent, and export issues remain. Improvements to this capability are under development.

The system showed strong performance across benchmarks. On Humanity’s Last Exam, it scored a new state-of-the-art pass@1 rate of 41.6%, increasing to 44.4% when using parallel attempts. On DSBench, which tests data science workflows, it reached 89.9% on analysis tasks and 85.5% on modelling, significantly higher than human baselines.

In investment banking modelling tasks, the agent achieved a 71.3% mean accuracy, outperforming OpenAI’s o3 model and the earlier deep research tool. It also scored 68.9% on BrowseComp and 65.4% on WebArena, both benchmarks measuring real-world web navigation and task completion.

However, OpenAI acknowledged new risks with this capability. “This is the first time users can ask ChatGPT to take actions on the live web,” the company said. “We’ve placed a particular emphasis on safeguarding ChatGPT agent against adversarial manipulation through prompt injection.”

To counter these risks, ChatGPT requires explicit confirmation before high-impact actions like purchases, restricts actions such as bank transfers, and offers settings to delete browsing data and log out of sessions. Sensitive inputs entered during takeover sessions are not collected or stored.

The new system is classified under OpenAI’s “High Biological and Chemical” capability tier, triggering additional safeguards. The company has worked with external biosecurity experts and introduced monitoring tools, dual-use refusal training, and threat modelling to prevent misuse.



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Lovable Becomes AI Unicorn with $200 Million Series A Led by Accel in Less than 8 Months

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Stockholm-based AI startup Lovable has raised $200 million in a Series A funding round led by Accel, pushing its valuation to $1.8 billion. The announcement comes just eight months after the company’s launch.

Lovable allows users to build websites and apps using natural language prompts, similar to platforms like Cursor. The company claims over 2.3 million active users, with more than 180,000 of them now paying subscribers. 

CEO Anton Osika said the company has reached $75 million in annual recurring revenue within seven months.

“Today, there are 47M developers worldwide. Lovable is going to produce 1B potential builders,” he said in a post on X.

The latest round saw participation from existing backers, including 20VC, byFounders, Creandum, Hummingbird, and Visionaries Club. In February, Creandum led a $15 million pre-Series A investment when Lovable had 30,000 paying customers and $17 million in ARR, having spent only $2 million.

The company currently operates with a team of 45 full-time employees. The Series A round also attracted a long list of angel investors, including Klarna CEO Sebastian Siemiatkowski, Remote CEO Job van der Voort, Slack co-founder Stewart Butterfield, and HubSpot co-founder Dharmesh Shah.

Most of Lovable’s users are non-technical individuals building prototypes that are later developed further with engineering support. According to a press release, more than 10 million projects have been created on the platform to date.

Osika said the company is not targeting existing developers but a new category of users entirely. “99% of the world’s best ideas are trapped in the heads of people who can’t code. They have problems. They know the solutions. They just can’t build them.”

Lovable is also being used by enterprises such as Klarna and HubSpot, and its leadership sees the platform evolving into a tool for building full-scale production applications. 

“Every day, brilliant founders and operators with game-changing ideas hit the same wall: they don’t have a developer to realise their vision quickly and easily,” Osika said in a statement.

Osika also said on X that he has become an angel investor in a software startup built using Lovable. 

In another recent example, Osika noted that a Brazilian edtech company built an app using Lovable that generated $3 million in 48 hours.

Lovable’s growth trajectory suggests increased adoption among both individual users and enterprise customers, positioning it as a significant player in the growing AI-powered software creation market.



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