Consumers are going to gravitate toward applications powered by the buzzy new technology, analyst Michael Wolf predicts
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People seeking information online will increasingly go first to TikTok, ChatGPT and other applications powered by generative artificial intelligence, instead of using traditional search engines, said Michael Wolf, co-founder and chief executive of consulting firm Activate.
Today, about 13 million U.S. adults begin their web searches by using generative AI, Activate data show. Wolf predicts that will grow to more than 90 million by 2027 because generative AI is capable of providing results with far greater precision and customisation.
“Generative AI fundamentally changes the model for search because the results are no longer links,” said Wolf, who gave a presentation of Activate’s findings at The Wall Street Journal’s Tech Live conference on Tuesday. “It serves up your information totally packaged and ready to use.”
Applications rife with customer data will benefit the most from this shift, Wolf said, as they will be better equipped to serve their users with personalised information. He expects TikTok to lead in this area because Activate estimates that its users already spend an average of more than 54 minutes a day on it, compared with 49 minutes daily on YouTube, 33 on Instagram and 31 on Facebook.
Amazon and other major e-commerce platforms have also embraced generative AI to better recommend products for users based on their past behaviour, along with many music- and video-streaming apps, Wolf said.
For example, Spotify earlier this year introduced AI DJ, a feature that offers a curated lineup of music alongside commentary around the tracks and artists that the app thinks users will like. “Choices are being made for you,” Wolf said.
Google and other search engines are also taking advantage of generative AI, yet Wolf said they might not remain the first stop or default option for most people. People are devoting more of their time to social media, entertainment platforms, online videogames and other utility apps that are also embracing the technology.
According to Wolf, domination within the $100 billion search industry is “up for grabs” and large, established companies aren’t necessarily going to outmuscle startups. The rise of open-source AI models is paving a pathway for smaller entrants to potentially make a big impact, he said.
Adoption of generative AI is being driven by a significant increase in the amount of time people spend online—behavior boosted by the pandemic, Activate data show. With people spending more time online, they are becoming adept at using multiple applications at once, enabling them to accomplish more in a single day than would otherwise be possible. Today, the average U.S. adult spends 13 hours daily multitasking among video, audio, games, social media and various technology and media activities.
“AI is making everybody into a metaverse creator,” Wolf said, referring to extensive online worlds where people interact via digital avatars.
Generative AI is poised to disrupt the internet in other ways besides search, such as content creation, Wolf said. By typing simple text prompts into applications featuring the technology, anyone—not just tech-savvy folks who know how to write code—will be able to make videogames, artwork, music and even entire virtual worlds on their own.
More predictions from Wolf’s presentation:
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AI-powered travel agents are challenging online booking platforms, but Airbnb’s exclusive listings and direct customer relationships could give it an edge. Its next challenge: turning repeat guests into loyal customers through stronger rewards and innovation.
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AI agents like Muse can already find you the cheapest hotel room in Paris. But they can’t locate a cheaper version of that Catskills cabin you’ve been eyeing, because it might only be available on Airbnb ABNB -1.43%decrease.
Investors should pay attention to that distinction. When Meta Platforms META 3.38%increase launched its Muse agent last month, travel stocks including Booking Holdings BKNG -1.19%decrease, Expedia and Airbnb all fell sharply.
Airbnb, though, has a real chance to emerge as a winner from the upheaval. The catch: Its stock already reflects above-industry growth. To justify its valuation, Airbnb will need to turn repeat customers into loyal ones.
Online travel companies make much of their money by simplifying search and collecting fees on bookings. AI agents threaten that model.
But not all travel marketplaces are equally exposed. Booking and Expedia largely sell hotel rooms that travelers can also book directly or through competing sites. If an agent can find the same room elsewhere, it has little reason to favor either Booking or Expedia.
Booking and Expedia also sell sponsored listings that steer travelers toward particular properties. Wells Fargo estimates those will account for about 8% of Expedia’s revenue and a much higher percentage of profit next year.
Airbnb has more ways to adapt. More than half its listings are available only on its platform, and more than 90% of its traffic comes directly to its app or website.
The customer relationship doesn’t end after booking, either. Bernstein analyst Richard Clarke notes that 90% of Airbnb guests go on to message their hosts about arrival times, keys or local taxes, giving Airbnb a connection to both sides of the transaction.
How the companies have responded to the possible agentic future is telling.
Expedia quickly signed on as a Muse partner. Airbnb hasn’t, and Chief Executive Brian Chesky says AI chatbots have so far been a boon, sending customers to Airbnb’s website.
Chatbots might work for buying paper towels, he quipped at a Skift conference last month, but people enjoy planning trips. He argued that browsing dozens of homes isn’t something a text-based chatbot is well suited for.
Still, the AI jitters arrived just as Airbnb was persuading investors it deserved its pricey multiple. For years after its 2020 initial public offering, the stock—which trades around 25 to 30 times forward earnings—went nowhere. Investors saw a mature operator trading at a growth premium.
This year, Airbnb growth seems to be accelerating. The stock jumped in August after the company raised its full-year revenue-growth guidance with its second-quarter results. Wells Fargo analyst Ken Gawrelski credits a run of product improvements under a revamped leadership team.
Among the changes: letting guests reserve now and pay later, adding hotels, and a redesigned home page and app. Investors were also betting on what comes next, including thousands more hotels, car rentals and, eventually, advertising.
The irony is that some of those growth drivers push Airbnb closer to the kind of business Booking and Expedia run—the kind of business AI agents could threaten. Even if AI agents capture a large share of travel planning and booking, Airbnb would capture the demand. But it and others would slowly lose control over how customers find and choose properties.
That would undermine the advertising opportunity investors are counting on. The bigger point for Airbnb and other marketplaces is that losing control of customer acquisition could mean surrendering some of their pricing power and margins.
To bulletproof itself, Airbnb might look to another e-commerce giant that has so far kept AI agents at arm’s length: Amazon.
Like Amazon, Airbnb has a loyal customer base and hard-to-match supply. But it has nothing like Prime membership to make customers think twice before taking their business elsewhere.
That is where loyalty comes in. Business travelers stick with Hilton or Marriott because enough nights earn them perks. Leisure travelers rarely accumulate stays with one chain. Airbnb has millions of listings and plenty of repeat customers, but no broad rewards program. It has begun experimenting with credits on hotel stays, but it should make loyalty a priority, not just a promotion.
Airbnb also plans to launch its own AI agent next year. But travelers using an agent might still want it to search Airbnb, Vrbo, Booking and hotel websites alike, rather than limit itself to one company’s inventory.
Eventually, Airbnb might have to strike deals with agent makers, using its unique homes as leverage to negotiate favorable terms, says Gawrelski. Such deals, along with rewards for loyal guests, could over the long term eat into the company’s roughly 13% take rate, he adds. But if they bring in enough additional bookings, the trade-off could be worthwhile.
History offers a reason not to panic. The shift from desktop to mobile unsettled investors in Alphabet and Amazon, but both emerged as major beneficiaries. Companies with valuable assets can come out of a platform shift stronger, if they adapt quickly enough.
Airbnb has homes the bots can’t easily replace. Now it needs to give guests a reason to insist on booking them there.
