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Ads have entered the chat

Advertisers are crowding into the next digital frontier.

It’s official. Chatbots have entered their ads era.

OpenAI has begun showing ads in ChatGPT and is in talks with The Trade Desk to expand the effort. Google already runs ads across its AI search products, and Adweek recently reported that Google plans to bring them to Gemini this year. (Google has since pushed back on the idea, but it’s extremely hard to imagine Google, which makes the vast majority of its money from ads, abstaining forever.) Most recently, The Information reported that Amazon, which is experimenting with ads inside its AI shopping assistant, Rufus, is also exploring licensing that technology to others.

Startups are all over the space, too. AI ad marketplace Koah, which recently raised $20 million, is placing ads inside everything from coding copilots to AI pediatricians to meal-planning chatbots.

Why?

AI chatbots are the innovation du jour, popping up inside companies and apps of all stripes — and launching as businesses in their own right. They’ve also been around long enough that the bills are coming due. Running large language models is expensive. As chatbots proliferate across the web, their creators are looking for ways to offset those costs — and, in some cases, build entire business models.

While many including ChatGPT are trying subscription models, there’s a ceiling to how many people will opt to pay for those and how much. Advertising, on the other hand, can grow alongside chatbots’ rapidly expanding adoption. It’s the obvious solution.

“Right now everybody’s not caring about revenue too much because they have hundreds of billions of dollars of venture funding to burn,” Koah founder Nic Baird told Sherwood News. “Eventually they have to actually make unit-economics-positive decisions.”

Advertisers, meanwhile, see opportunity. Users don’t just scroll in AI chats; they ask questions and spell out exactly what they’re looking for. That could make conversational AI more valuable than traditional web ads. Users also spend significantly more time on chatbots than in traditional search. For advertisers, that kind of sustained attention is hard to ignore.

The potential market is enormous, and some analysts think it could rival search. Roger Beharry Lall, research director at IDC, estimates that over time, the roughly $300 billion to $400 billion spent annually on search ads could shift toward AI, with one market cannibalizing the other.

“The vast majority of the internet today is ad-sponsored,” he told Sherwood.  “You’re going to see the exact same thing happen in AI.”

That may not be a hard sell to consumers. Despite how expensive LLMs are to run, many people view them the way they view news sites or social media: free. About two-thirds of consumers say advertising is an acceptable way to monetize AI, according to IDC research — including ads embedded in prompt responses.

Still, ads are only just arriving in AI chats. Consumer sentiment could shift once people see what they actually look like.

What ads in chatbots are like now

We’re in the very early innings. As it stands, ads showing up through Koah and in ChatGPT are based on information shared within the chat itself, rather than data scraped from elsewhere on the web.

Both Koah and OpenAI say ads won’t influence the information provided in responses — a separation they argue is essential to maintaining trust. If you ask about running techniques, you might see an ad for sneakers, but the ad won’t cause the chatbot to steer its answer toward that particular brand.

OpenAI executives have previously expressed skepticism about ads in AI assistants, warning that monetization could distort incentives. But the economics appear to be winning, as evidenced by ChatGPT’s entry into the space.

Anthropic, for its part, has so far resisted advertising altogether, positioning itself as more cautious about commercial influence — even as it advertises on the very big ad platform of the Super Bowl.

The ads within each AI chatbot are native to the platform, but labelled as sponsored and visually distinct from the conversation.

“The format design is really a huge part of it. It takes a ton of work to figure out how to make a great sponsored experience,” Baird said. “You could just take a standard display ad and shove it in there, but that hurts the experience and that really hurts user engagement.”

For now, Koah is mostly working with text ads, though Baird says those could evolve into generative video and more dynamic formats.

A mockup of what an ad from Koah’s two-sided ad marketplace would look like within a chatbot.
Koah

IDC’s Beharry Lall expects chatbot ads to start out resembling traditional internet ads, but become more personalized and interactive over time.

“There is a huge opportunity with generative AI and AI technology to be much more refined,” he said.

The frequency with which users see an ad will depend on the chatbot’s owner, but Baird says it could eventually be one ad every three or four queries.

Koah takes a 30% cut of the ad revenue generated through its marketplace. OpenAI, whose ad business Evercore ISI’s Mark Mahaney estimated could generate $25 billion a year by 2030, is charging $60 per thousand views.

Of course, for AI chats to become a major ad channel, the ads have to actually work — and that’s far from proven.

“ The data matters, the time spent matters, the inventory matters, but also the targeting matters, the self-service advertising platform matters, the price matters,” Nate Elliott, an eMarketer analyst who specializes in AI and advertising, said. “A lot of things will have to click for these ads to be useful.”

Will they be more valuable than the search ads they’re replacing?

“They just launched two weeks ago and they’ve got a lot of work to do,” he said. “Anyone who gives you an answer to that is just guessing.”

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Just days after Google announced a monster $85 billion upsized equity raise, the extremely profitable Meta is seeking to sell “tens of billions of dollars” in stock, according to a new report from the Financial Times.

Meta is planning on spending between $125 billion and $145 billion on AI capital expenditure this year alone.

Shares dropped more than 5% on the news.

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FT: Anthropic staff helping the NSA use Mythos for offensive cyberattacks

Anthropic’s Mythos AI model was deemed too dangerous to release to the public, with the company citing its ability to orchestrate novel cyberattacks.

And that’s just what the National Security Agency is doing, with the help of Anthropic staff embedded at the agency, according to a report from the Financial Times.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

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Longtime Tesla bear JPMorgan upgraded Tesla and raised its price target to $475 from $145

For more than a decade, JPMorgan was Wall Streets most stubborn Tesla skeptic, anchored by auto analyst Ryan Brinkman’s strict focus on traditional car fundamentals and near-term delivery numbers.

But JPM recently handed coverage of the stock to a new analyst, Rajat Gupta, who is throwing that playbook out the window. In a note Friday, the firm upgraded Tesla to neutral from underweight and raised its price target 228% to $475 from $145. (The analyst consensus on FactSet is $403.) Instead of focusing on the company’s struggling vehicle business, the new analyst is orienting himself more toward Tesla’s idea of the future, now modeling Tesla’s physical AI and robotaxi fleets all the way out to the year 2040.

Here are the main reasons for the capitulation:

  • Looking past the car lot: Gupta argues that Tesla is at the forefront of physical AI, entering uncharted TAMs” and therefore deserves the benefit of the doubt to be valued on LT earnings potential rather than near-term speed bumps.

  • Unmatched vertical integration: Teslas control over everything from battery cells to custom silicon gives it a massive moat. JPM notes this starting point advantage is unmatched at an industrial level scale” and “still somewhat under-appreciated and misunderstood.

  • The AWS flywheel effect: Deploying Optimus robots inside its own factories should not only lower COGS for the base automotive business, but more importantly, help validate the product at an industrial scale.” Gupta called it “a classic flywheel effect, somewhat analogous to AWS and Kiva at AMZN.

For Tesla bulls who have argued for years that this is an AI company and not a carmaker, JPM’s sudden $3.9 trillion valuation model is the ultimate validation.

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