The Golden Age of Travel Is Back — and AI will Power It

For decades, language has remained one of the final obstacles to truly immersive travel. Although low-cost airlines and online booking platforms have made the world more accessible than ever, most English travellers, because we are notoriously language-lazy, still experience foreign countries through a filter, relying on guidebooks, pre-translated menus, or the ability to speak louder in English to make the locals understand us.

That barrier is now beginning to dissolve.

Google’s newly announced real-time translation experience, which delivers live translations directly through everyday headphones, offers a glimpse into a future where understanding your surroundings abroad becomes effortless, immediate, and human.

When combined with emerging wearable devices like Meta’s smart glasses, AI translation is poised to fundamentally reshape how people explore the world, as not only will we be able to hear foreign language in English, the same glasses will capture our English replies and project them from our phone’s speakers in the local language so that whoever we are chatting with can understand what we are saying back.

At the moment, the tech is just in its infancy, but the rate of progress is jaw-dropping

From “Getting By” to Truly Understanding

Most travellers have experienced the quiet anxiety of not understanding what’s being said around them. Is that announcement important? Is the waiter explaining something I should know? Am I missing cultural nuance?

Google’s beta feature turns any pair of headphones into a real-time, one-way translation device. Crucially, by preserving tone, emphasis, and cadence, the technology doesn’t just translate words; it conveys meaning. You hear how something is said, not just what is said.

This is a major shift enabled by AI. Language is emotional and contextual. Sarcasm, warmth, urgency, and humour are often lost in traditional translation apps that rely on text or robotic audio. By maintaining vocal nuance, AI translation allows travellers to follow conversations more naturally and confidently, even when they don’t speak the local language.

The result isn’t just convenience; it’s inclusion.

The Rise of “Invisible” Translation

The real breakthrough isn’t translation itself, it’s where translation now lives.

Instead of pulling out a phone, typing phrases, or awkwardly holding a screen between two people, translation is moving into wearables: headphones today, smart glasses tomorrow. This makes language support ambient and almost invisible.

Imagine walking through a local market in Tokyo, hearing stallholders’ calls translated softly in your ears. Or inter-railing around Europe, understanding announcements in real time without scanning for English signage. Or attending a local festival, lecture, or guided tour while abroad, fully present, without constantly switching between listening and translating.

When paired with smart glasses, this experience could extend even further: subtitles appearing discreetly in your field of view, translated street signs, or contextual explanations layered onto the physical world.

Travel becomes less about decoding and more about experiencing.

Empowering More People to Travel Confidently

One of the most positive impacts of AI translation tools is who they empower.

For older travellers, solo travellers, or those who feel intimidated by unfamiliar languages, these tools reduce friction and fear. You no longer need to “know enough” of a language to feel safe or capable. That confidence alone can open up destinations that previously felt inaccessible.

And for families travelling together, AI translation becomes a shared safety net, allowing children, parents, and grandparents alike to engage more fully with the world around them.

Cultural Curiosity, Not Cultural Replacement

A common concern with translation technology is that it may discourage people from learning languages. In reality, the opposite is already happening.

Google’s expansion of its language-learning tools, enhanced with Gemini’s ability to understand idioms, slang, and cultural context, shows how translation and learning can reinforce each other. When travellers hear accurate, contextual translations in real-world settings, language becomes less abstract and more alive.

Hearing that “stealing my thunder” isn’t about theft, but about overshadowing someone, teaches culture as much as vocabulary. These moments spark curiosity, not complacency.

AI translation doesn’t replace cultural effort; it lowers the barrier to entry.

Could this launch a new Golden Age of Travel?

Google’s rollout remains in its early stages and is limited to certain countries and devices, but the trend is evident. AI translation is progressing from a basic tool to a travel companion, empowering holidaymakers to explore distant destinations with greater confidence and travel more frequently. Many will become “digital nomads”, using Zoom and other platforms to work while experiencing different cultures and warm climates around the world.

The social and economic impact of AI, which continues to advance rapidly, remains very concerning, with 20% unemployment expected within five years and a high probability that the rich will get richer while the poor get poorer. However, there is nearly 100% agreement among experts that we will all have more leisure time, with a four-day workweek likely.

Combine this extra time with the ability to travel freely because language barriers have been removed, and you can understand my profound hope that we are actually standing at the dawn of the Golden Age of Travel.

Agentic AI in the Browser: A Time-Saver or a Google stranglehold over travel.

Agentic AI is rapidly moving from theory to practice. Instead of merely answering questions, these systems can now act on a user’s behalf by booking flights, comparing prices, filling out forms, or making purchases, which will significantly impact how travel products are booked.

The ease of use will allow users to bypass both travel agents and OTA sites to purchase non-ATOL bonded packages curated by Google, with Agentic AI guiding them through the complex booking process in minutes using pre-stored booking preferences and credit card details.

Google’s recent explanation of how Chrome will secure its upcoming agentic AI features provides a glimpse into how this future might operate at scale.

At first glance, the consumer benefits appear convincing and provide initial steps toward creating the “Digital Shopping Twin” that I have long forecast will alleviate much of the shopping hassle for users.

Travellers who are accustomed to navigating an average of 72 sites before booking their holidays to compare prices and read reviews often experience tab overload, decision fatigue, and repetitive online tasks. Agentic AI offers a form of digital delegation. However, as these agents become integrated into browsers, arguably the most commercially significant layer of the internet, because they control product access, crucial questions around trust, control, and commercial neutrality arise, as let’s be honest, Google don’t have a good track record here.

Google’s approach to agentic security is sophisticated, layered, and thoughtfully designed. Yet it also highlights a deeper tension: when the same company that controls the browser, the AI model, the ad ecosystem, and the marketplace is acting “on your behalf,” how confident can users be that convenience won’t quietly blur into influence based on who pays Google the most?

Why Google Agentic AI is a major threat to the UK Travel Trade.

The promise of agentic AI lies in time compression. Tasks that currently require dozens of micro-decisions: searching, filtering, logging in, and comparing options, can be reduced to a single voice instruction. “Book me the best-value Flight ticket from Manchester in May 2026 to Majorca for a 7-night duration, combined with the best-reviewed 4-star hotel costing less than £200 per night on a bed and breakfast basis in Alcudia with a private taxi transfer from the airport”.

In terms of productivity, this is transformative. For less tech-confident users, it could also be empowering, reducing cognitive and technical barriers to booking holidays online and posing a significant threat to the traditional role of travel agents and OTAs.

Forget hallucinations and silly errors: Google’s Architecture prevents these.

Google’s outlined safeguards demonstrate a strong understanding of the risk of AI hallucinations and mistakes. Central to this is a multi-model oversight system in which one AI plans actions, and another, called the User Alignment Critic and powered by Gemini, assesses whether those actions genuinely align with the user’s stated goal.

This separation is important. It mirrors patterns found in safety-critical systems, where execution and oversight are purposely separated, reducing the likelihood that Google Travel tools will mistakenly book incorrect items or fail even if the rest of the travel industry hopes they will and jump on any mistake to harangue them or disparage the reputation of AI Tools.

Equally important are Agent Origin Sets, which clearly define where an agent can read data and where it can act. Read-only zones may enable price comparisons on a travel site, whereas read-write zones limit interactions to authorised buttons or form fields and prevent items from being booked without explicit user approval.

Layered on top are URL monitoring systems to prevent unsafe navigation, the explicit requirement of user consent for sensitive actions such as payments and strict separation of password data. In short, Chrome’s agentic AI is not given free rein; it operates within a tightly constrained sandbox when processing customer travel requests.

The Big Risk: Commercial Bias Driven by Convenience

However, security is only part of the story. The more complex issue is alignment, not just with user intent regarding which holidays they prefer, but also with user interests in finding the best value provider, not merely the one suggested by Google because of the highest commission.

Most travellers still do not realise that the top of the Google search page is not dominated by the best providers but by those willing to pay the highest click costs to attract customers to their sites.

Google is in a unique and dominant position. Chrome manages access to the web. Gemini interprets intent. Google Shopping, Ads, Flights, and Search already facilitate commercial discovery. When a Google AI Travel Agent chooses which product to buy, which option is “best,” or which site is trustworthy, those choices are clearly influenced by Google’s commercial interests rather than the customers.

Even if no explicit manipulation occurs, defaults matter. Ranking logic matters. Training data matters. Over time, an agent that consistently chooses Google-affiliated services, preferred partners, or ad-optimised outcomes could quietly reshape user behaviour without users’ knowledge.

Unlike search results, which users can scan and override, agentic decisions are made on the user’s behalf. That efficiency and time saving are the key drivers, but it also reduces visibility.

A Powerful Tool That Demands Ongoing Scrutiny

Agentic AI in Chrome could save users significant time and mental effort when booking a holiday, and, bluntly, it’s tough luck for the travel industry if it replaces some of our jobs. However, although Google has discussed at length its technical safeguards, it remains silent on the clear ethical conflict of potentially recommending not the best travel options for customers, but those that generate the most revenue for Google.

It also triggers the age-old ATOL debate. Why should dynamically packaging retailers bear the substantial burden of “Principal” status when Google can offer precisely the same services without any bonding?

Both the UK Government as a whole and the Civil Aviation Authority must thoroughly examine Google’s plans for Agentic AI in travel and determine whether these constitute responsible activity or an abuse of a dominant market position.

To be entirely clear, I support customers’ right to choose, and using AI in the travel booking process will make holiday arrangements much simpler, but transparency of recommendations needs to be a legal requirement imposed on Google ASAP.

The Travel Sector Shake-Up: Who Survives the AI Storm?

At the recent AITO conference, I was asked the intriguing question of “Which Travel Sector is most threatened by the rollout of AI?”

Honestly, it’s easier to flip this question and look at what protections the travel industry has against AI. For example, “Asset” holders like airlines, cruise lines, and hotels aren’t threatened just because customers will always need them, and they can’t be “disintermediated”. Therefore, companies such as Tui, Easyjet, and Jet2 Holidays are likely to see AI as a way to improve efficiency and will use it to open new distribution routes.

However, “Online Travel Agents” (OTAs) face two significant and imminent threats.

Over the past 20 years, Google has dominated holiday search, and its algorithms, which reward higher click volumes with lower average costs, have established a fairly “locked-in” hierarchy primarily shared among Love Holidays, On the Beach, and booking.com for most holiday search terms. This is now being seriously disrupted by the introduction of Google AI search mode powered by Gemini, which has taken 30-40% of the traffic that used to flow to the top-positioned advertisers and redistributed it in a completely different way based on the best match to a customer’s request.

This trend is only going to be exacerbated as competing AI search tools such as ChatGPT and Perplexity rapidly increase their market share in the UK.

At the same time, Gemini and the other LLM (Large Language Model) search engines are all launching “Agentic AI” solutions for travel. These enable customers to either type or use voice activation to make complex, detailed travel requests, which then open new windows with the “Agentic AI Agent,” which mimics a human and uses relevant travel sites like Skyscanner to identify the best flight options before combining them with hotel options from booking.com.

This new age “Dynamic Packaging” avoids the extensive costs and restrictions of ATOL bonding and therefore offers customers lower cost options, threatening to undermine the OTA’s core offering of range and lowest price.

Some customers will still seek “Principal Status” and ATOL protection, but I doubt this will be the majority, which puts Love and OTB’s market share at real risk. However, nobody should ever dismiss this innovative business, as they could simply pivot to using AI to develop their offering while leveraging their established brand recognition.

Travel Agents also face a significant threat, but ironically, it’s not from being replaced by AI but from more agents joining the hunt for customers and “Super Agents” hoovering up a much larger share of the market.

We have already seen 37,000 agents join the sector under the umbrella of “IntelleTravel”, but this figure is set to rise dramatically as “Agentic AI” tools mean nearly anyone can book travel with minimal training. Add to this the extensive product knowledge available at their fingertips from AI tools, and the “Agency” battle shifts to how cost-effectively agents can attract customers and on what scale.

I believe there will be a new wave of “Influencer agents” using TikTok, Instagram, and Facebook to promote inspiring destination content, generating leads that they then either pass on to third-party price-comparison sites or book themselves using agentic AI tools.

Even within traditional homeworking channels, top sellers can grow even faster by delegating all their back-office booking and research tasks to AI, while using their freed-up time to leverage their human sales skills to handle 2-3 times more customers per year. These “Super Agents” will logically gain increased market share, forcing weaker agents to go part-time or leave the sector.

It will also be fascinating to see what new travel brands are created using the new “Model Context Protocol” (MCP) technology. MCP is a simple standardisation wrapper that LLMs are forcing suppliers to put around their API feeds to turn them into “Standardised Bricks” accessible by AI coding teams to create new “Travel Super Stores”.

Using MCP tools from suppliers significantly simplifies the creation of price-comparison sites and innovative packaging tools, such as “Event Trip,” a new spin-out soon to be launched by Neural River Incubator.

The established travel order is set for a significant shake-up, not in the next 10 years as some commentators predict, but rather within the next 2 years, in my opinion, as the wave of AI change is now accelerating rapidly, with even the slow-moving travel sector beginning to engage first gear.