Some travel advisors use artificial intelligence to speed planning and grow bookings

Some travel advisors are using Artificial Intelligence to cut research and email time, increase capacity, and focus on relationship-driven perks that technology cannot replace.

Decades after online booking platforms shifted control to consumers, another technological shift is under way as travel advisors begin integrating artificial intelligence into daily workflows. Some advisors, particularly in the luxury segment, say the tools help them generate high-level route ideas, draft client communications faster, and free time for marketing and client outreach. Athena Livadas, who runs Páme Travel and books five-star trips, reports roughly 40% business growth when comparing a six-month period before and after adopting these tools, and credits time savings with enabling her to take on more clients.

Adoption is uneven, and many advisors remain skeptical or offended by the notion that a model can plan travel. Still, companies that supply advisors are embedding Artificial Intelligence into platforms. Fora, a digital travel agency, began rolling out AI-powered features in fall 2023 and integrates them into advisor workflows for drafting proposals, formatting rate displays to be more client-friendly, and building itineraries. Fora also trained a chatbot called Sidekick on proprietary trainings, help articles, and hotel and destination data; the tool is used by about 25% of advisors each month and by 35% of newly onboarded advisors. Rita Carton, a Fora advisor, estimates that using the platform and standalone tools such as ChatGPT halved her planning and response times, tripled bookings year over year, and let her handle nine simultaneous itineraries in a quarter versus two or three previously.

Despite these productivity gains, advisors argue the sector´s competitive edge rests on relationships and local knowledge that technology struggles to reproduce. A Deloitte study found generative tool use for trip planning doubled from 8% to 16% between October 2023 and October 2024, signaling growing consumer reliance on machine-generated research. Yet advisors point to bespoke touches as the enduring value proposition: tailored off-the-beaten-path recommendations, personal calls to hotel managers that secure upgrades, and curated arrival surprises. In short, advisors are using Artificial Intelligence to amplify capacity and efficiency, not to replace the human interventions that deliver privileged experiences and long-term client loyalty.

66

Impact Score

How Artificial Intelligence is reshaping financial services oversight

Financial services regulators are largely treating Artificial Intelligence as another technology governed by existing rules rather than building new securities-specific frameworks. History suggests that clearer expectations will emerge through examinations, enforcement, and supervisory guidance.

Nvidia faces gamer backlash over Artificial Intelligence shift

Nvidia is facing growing frustration from gamers as memory supply is steered toward data center chips and DLSS 5 becomes more central to game performance. The dispute highlights how far the company’s priorities have shifted toward enterprise Artificial Intelligence.

Executives see limited Artificial Intelligence productivity gains so far

Corporate enthusiasm around Artificial Intelligence has yet to translate into broad gains in employment or productivity, reviving comparisons to the long lag between early computing breakthroughs and measurable economic impact. Recent surveys and studies show mixed results, with strong expectations for future benefits but little consensus on present gains.

Nvidia skips a new GeForce generation as Artificial Intelligence chips dominate

Nvidia is set to go a year without a new GeForce GPU generation for the first time since the 1990s as memory shortages and higher margins in Artificial Intelligence hardware reshape the market. AMD and Intel are also struggling to capitalize because the same supply constraints are hitting gaming products across the industry.

Where gpu debt starts to break

Stress in gpu-backed infrastructure financing is emerging around deals that lack the structural protections seen in the strongest transactions. Oracle, the Abilene Stargate project, and older CoreWeave debt illustrate different ways residual risk can surface when contracts, collateral, and counterparties fall short.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.