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Travelers increasingly turning to AI for leisure trip planning

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Leisure travelers worldwide are increasingly turning to social media and artificial intelligence (AI)-powered sites, with use particularly prevalent in emerging markets, according to research from global consulting firm BCG.

The study included responses from approximately 5,000 travelers across Australia, China, India, Indonesia, Germany, Mexico, Nigeria, Saudi Arabia, the United Kingdom, the United States and Vietnam—all countries with populations that travel frequently or are expected to do so in the future. The company also analyzed travel patterns from 2014 through 2024 across 68 countries and developed forecast data through 2040.

The report highlighted opportunities in the expanding leisure travel sector, stressing the need for those in the industry to embrace AI. According to survey findings, leisure travel is expected to triple—from $5 trillion to $15 trillion—by 2040, with more of the “next wave” of travelers coming from emerging markets such as China, India, Saudi Arabia, and Vietnam, as opposed to more traditional destinations like Germany, the U.K. and the U.S.

Travelers from emerging markets are actively embracing technology, logging the most browsing touchpoints, per BCG’s findings. At the same time, however, they were the most likely to report experiencing information overload.

And while AI and large language models (LLMs) are only expected to become more integral to travel planning, especially with the rise of agentic AI, human interaction is still key to the overall travel planning experience.

Illustrating this, China (65%), India (59%), Vietnam (51%) and Indonesia (58%) had the highest percentages of travelers using AI-powered tools or chatbots in travel planning, but they were also among those with the highest percentage of travelers who said human touch is still important.

“Smart integration and handoffs between technology and the human touch will best meet travelers’ needs. Winning platforms will combine AI-powered simplicity with personalization, cultural relevance, and hybrid engagement,” the report reads.

According to Mike Coletta, senior manager of research and innovation at Phocuswright, BCG’s data is in line with Phocuswright’s findings—and the intersection of human interaction and AI is an area of interest.

“I found the correlations between the higher numbers of travelers relying on both AI and humans for travel planning in APAC countries particularly thought provoking,” Coletta said.

“The balance between digital interactions and the human touch is something Phocuswright will continue to explore with the overarching goal of shedding light on the evolution of how discovery translates into bookings for travelers globally.”

Generative AI

Phocuswright’s “Chat, Plan, Book: GenAI Goes Mainstream” report found that generative AI, specifically, is becoming more common for trip planning, with leisure travelers from the U.S., the U.K., France and Germany reporting a three- to four-point increase in usage.

Additionally, Phocuswright looked at how much confidence travelers have in new tech, with only one-third of respondents reporting that they “fully trust answers” from generative AI tools. However, between 25% and 37% still expect travel sites to offer generative AI chat options, while a third to a quarter of travelers are interested in booking within one of these platforms or letting an AI assistant book for them.

Considering its survey results, BCG predicted that generative AI could actually “pose an existential threat to travel companies” by “bypassing traditional aggregators” and directing users to relevant offers.

“The pace of change remains uncertain, but companies should begin adapting,” the report reads.

How travel companies can adjust

With increased use of tech-enabled platforms and channels, BCG said personalization and flexibility will be paramount.

“Companies should make sure that travelers seeking information and booking opportunities through AI-powered channels can discover their companies and book with them,” the report reads.

“They should ensure that they can be found via LLM search, watch out for LLMs that might be entering their business space and start investing in their own AI chatbots. These bots should be able to communicate with travelers and help them easily book trips right at the travel company’s site to improve the user experience and at social media sites to attract and convert new customers.”

When it comes to destination marketing, BCG highlighted efforts from Qatar, where travel businesses use SMS and WhatsApp marketing to reach travelers, as well as augmented and virtual reality to give travelers the opportunity to explore before they book.

Qiddiya, a planned city in Saudi Arabia, is also developing the Play Life Connected Experience, described as an “advanced digital platform” integrating AI, data analytics and cloud technology to facilitate “personalized and seamless visitor interactions.”

“The travelers of tomorrow look different—who they are, who they travel with (or without), what they expect and how they make decisions,” said Lara Koslow, a BCG managing director and senior partner and a coauthor of the report. “To stay relevant, travel companies will need to get ahead of these shifts—or risk being left off the itinerary.”



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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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