Shortly after ChatGPT hit the market last year and instantly captured headlines for its ability to appear human in answering user queries, digital marketing veteran Shane Rasnak began experimenting.
As someone who had built a career in creating online ad campaigns for clients, Rasnak saw how generative artificial intelligence could transform his industry. Whether it was coming up with headlines for Facebook ads or short blurbs of ad copy, Rasnak said, jobs that would have taken him 30 minutes to an hour are now 15-minute projects.
And that’s just the beginning.
Rasnak is also playing with generative AI tools such as Midjourney, which turns text-based prompts into images, as he tries to dream up compelling visuals to accompany Facebook ads. The software is particularly handy for someone without a graphic design background, Rasnak said, and can help alongside popular graphic-editing tools from Canva and Adobe’s Photoshop.
While it’s all still brand new, Rasnak said generative AI is “like the advent of social media” in terms of its impact on the digital ad industry. Facebook and Twitter made it possible for advertisers to target consumers based on their likes, friends and interests, and generative AI now gives them the ability to create tailored messaging and visuals in building and polishing campaigns.
“In terms of how we market our work, the output, the quality and the volume that they’re able to put out, and how personalized you can get as a result of that, that just completely changes everything,” Rasnak said.
Rasnak is far from alone on the hype train.
Meta, Alphabet and Amazon, the leaders in online advertising, are all betting generative AI will eventually be core to their businesses. They’ve each recentlydebuted products or announced plans to develop various tools to help companies more easily create messages, images and even videos for their respective platforms.
Their products are mostly still in trial phases and, in some cases, have been criticized for being rushed to market, but ad experts told CNBC that, taken as a whole, generative AI represents the next logical step in targeted online advertising.
“This is going to have a seismic impact on digital advertising,” said Cristina Lawrence, executive vice president of consumer and content experience at Razorfish, a digital marketing agency that’s part of the ad giant Publicis Groupe.
In May, Meta announced its AI Sandbox testing suite for companies to more easily use generative AI software to create background images and experiment with different advertising copy. The company also introduced updates to its Meta Advantage service, which uses machine learning to improve the efficiency of ads running on its various social apps.
Meta has been pitching the Advantage suite as a way for companies to get better performance from their campaigns after Apple’s 2021 iOS privacy update limited their ability to track users across the internet.
‘Personalization at scale’
As these new offerings improve over time, a bicycle company, for example, could theoretically target Facebook users in Utah by showing AI-generated graphics of people cycling through desert canyons, while users in San Francisco could be shown cyclists cruising over the Golden Gate Bridge, ad experts predict. The text of the ad could be tailored based on the person’s age and interests.
“You can be using it for that sort of personalization at scale,” Lawrence said.
Meta’s Advantage service has been gaining traction with retailers using it for automated shopping ads, according to data shared with CNBC by online marketing firm Varos.
In May 2023, roughly 2,100 companies spent $47 million, or about 27.5% of their combined total monthly Meta advertising budgets on Advantage+, the Varos data showed. A month earlier, those companies directed 26.6% of their budget, or $44.9 million, to Advantage+.
Last August, when Meta formally debuted its Advantage+ automated shopping ads, companies put less than 1% of their Meta ad spend into the offering.
Meta Platforms CEO Mark Zuckerberg speaks at Georgetown University in Washington, Oct. 17, 2019.
Andrew Caballero-Reynolds | AFP | Getty Images
Varos CEO Yarden Shaked said the increase shows Facebook is having some success in persuading advertisers to rely on its automated ad technology. However, Shaked said he’s “not sold on the creative piece yet,” regarding Meta’s nascent foray into providing generative AI tools for advertisers.
Similarly, Rasnak said Midjourney’s tool isn’t “quite there yet” when it comes to producing realistic imagery that could be incorporated into an online ad, but is effective at generating “cartoony designs” that resonate with some smaller clients.
Jay Pattisall, an analyst at Forrester, said several major hurdles prevent generative AI from having a major immediate impact on the online ad industry.
One is brand safety. Companies are uncomfortable outsourcing campaigns to generative AI, which can generate visuals and phrases that reflect certain biases or are otherwise offensive and can be inaccurate.
Earlier this year, Bloomberg News found that AI-created imagery from the popular Stable Diffusion tool produced visuals that reflected a number of stereotypes, generating images of people with darker skin tones when fed prompts such as “fast-food worker” or “social worker” and associating lighter skin tones with high-paying jobs.
There are also potential legal issues when it comes to using generative AI powered by models trained on data that’s “scraped from the internet,” Pattisall said. Reddit, Twitter and Stack Overflow have said they will charge AI companies for use of the mounds of data on their platforms.
Scott McKelvey, a longtime marketing writer and consultant, cited other limitations surrounding the quality of the output. Based on his limited experience with ChatGPT, the AI chatbot created by OpenAI, McKelvey said the technology fails to produce the kind of long-form content that companies could find useful as promotional copy.
“It can provide fairly generic content, pulling from information that’s already out there,” McKelvey said. “But there’s no distinctive voice or point of view, and while some tools claim to be able to learn your brand voice based on your prompts and your inputs, I haven’t seen that yet.”
An OpenAI spokesperson declined to comment.
A spokesperson for Meta said in an email that the company has done extensive research to try to mitigate bias in its AI systems. Additionally, the company said it has brand-safety tools intended to give advertisers more control over where their ads appear online and it will remove any AI-generated content that’s in violation of its rules.
“We are actively monitoring any new trends in AI-generated content,” the email said. “If the substance of the content, regardless of its creation mechanism, violates our Community Standards or Ads Standards, we remove the content. We are in the process of reviewing our public-facing policies to ensure that this standard is clear.”
The Meta spokesperson added that as new chatbots and other automated tools come to market, “the industry will need to find ways to meet novel challenges for responsible deployment of AI in production” and “Meta intends to remain at the forefront of that work.”
Stacy Reed, an online advertising and Facebook ads consultant, is currently incorporating generative AI into her daily work. She’s using the software to come up with variations of Facebook advertising headlines and short copy, and said it’s been helpful in a world where it’s more difficult to track users online.
Reed described generative AI as a good “starting point,” but said companies and marketers still need to hone their own brand messaging strategy and not rely on generic content. Generative AI doesn’t “think” like a human strategist when producing content and often relies on a series of prompts to refine the text, she explained.
Thus, companies shouldn’t simply rely on the technology to do the big picture thinking of knowing what themes resonate with different audiences or how to execute major campaigns across multiple platforms.
“I’m dealing with large brands that are struggling, because they’ve been so disconnected from the average customer that they’re no longer speaking their language,” Reed said.
For now, major ad agencies and big companies are using generative AI mostly for pilot projects while waiting for the technology to develop, industry experts said.
Earlier this year, Mint Mobile aired an ad featuring actor and co-owner Ryan Reynolds reading a script that he said was generated from ChatGPT. He asked the program to write the ad in his voice and use a joke, a curse word and to let the audience know that the promotion is still going.
After reading the AI-created text, Reynolds said, “That is mildly terrifying, but compelling.”
President Trump’s new tariffs on goods that the U.S. imports from over 100 countries will have an effect on consumers, former Microsoft CEO Steve Ballmer told CNBC on Friday. Investors will feel the pain, too.
Microsoft’s stock dropped almost 6% in the past two days, as the Nasdaq wrapped up its worst week in five years.
“As a Microsoft shareholder, this kind of thing is not good,” Ballmer said, in an interview with Andrew Ross Sorkin that was tied to Microsoft’s 50th anniversary celebration. “It creates opportunity to be a serious, long-term player.”
Ballmer was sandwiched in between Microsoft co-founder Bill Gates and current CEO Satya Nadella for the interview.
“I took just enough economics in college — that tariffs are actually going to bring some turmoil,” said Ballmer, who was succeeded by Nadella in 2014. Gates, Microsoft’s first CEO, convinced Ballmer to join the company in 1980.
Gates, Ballmer and Nadella attended proceedings at Microsoft’s Redmond, Washington, campus on Friday to celebrate its first half-century.
Between the tariffs and weak quarterly revenue guidance announced in January, Microsoft’s stock is on track for its fifth straight month of declines, which would be the worst stretch since 2009. But the company remains a leader in the PC operating system and productivity software markets, and its partnership with startup OpenAI has led to gains in cloud computing.
“I think that disruption is very hard on people, and so the decision to do something for which disruption was inevitable, that needs a lot of popular support, and nobody could game theorize exactly who is going to do what in response,” Ballmer said, regarding the tariffs. “So, I think citizens really like stability a lot. And I hope people — individuals who will feel this, because people are feeling it, not just the stock market, people are going to feel it.”
Ballmer, who owns the Los Angeles Clippers, is among Microsoft’s biggest fans. He said he’s the company’s largest investor. In 2014, shortly after he bought the basketball team for $2 billion, he held over 333 million shares of the stock, according to a regulatory filing.
“I’m not going to probably have 50 more years on the planet,” he said. “But whatever minutes I have, I’m gonna be a large Microsoft shareholder.” He said there’s a bright future for computing, storage and intelligence. Microsoft launched the first Azure services while Ballmer was CEO.
Earlier this week Bloomberg reported that Microsoft, which pledged to spend $80 billion on AI-enabled data center infrastructure in the current fiscal year, has stopped discussions or pushed back the opening of facilities in the U.S. and abroad.
JPMorgan Chase’s chief economist, Bruce Kasman, said in a Thursday note that the chance of a global recession will be 60% if Trump’s tariffs kick in as described. His previous estimate was 40%.
“Fifty years from now, or 25 years from now, what is the one thing you can be guaranteed of, is the world needs more compute,” Nadella said. “So I want to keep those two thoughts and then take one step at a time, and then whatever are the geopolitical or economic shifts, we’ll adjust to it.”
Gates, who along with co-founder Paul Allen, sought to build a software company rather than sell both software and hardware, said he wasn’t sure what the economic effects of the tariffs will be. Today, most of Microsoft’s revenue comes from software. It also sells Surface PCs and Xbox consoles.
“So far, it’s just on goods, but you know, will it eventually be on services? Who knows?” said Gates, who reportedly donated around $50 million to a nonprofit that supported Democratic nominee Kamala Harris’ losing campaign.
AppLovin CEO Adam Foroughi provided more clarity on the ad-tech company’s late-stage effort to acquire TikTok, calling his offer a “much stronger bid than others” on CNBC’s The Exchange Friday afternoon.
Foroughi said the company is proposing a merger between AppLovin and the entire global business of TikTok, characterizing the deal as a “partnership” where the Chinese could participate in the upside while AppLovin would run the app.
“If you pair our algorithm with the TikTok audience, the expansion on that platform for dollars spent will be through the roof,” Foroughi said.
The news comes as President Trump announced he would extend the deadline a second time for TikTok’s Chinese-owned parent company ByteDance to sell the U.S. subsidiary of TikTok to an American buyer or face an effective ban on U.S. app stores. The new deadline is now in June, which, as Foroughi described, “buys more time to put the pieces together” on AppLovin’s bid.
“The president’s a great dealmaker — we’re proposing, essentially an enhancement to the deal that they’ve been working on, but a bigger version of all the deals contemplated,” he added.
AppLovin faces a crowded field of other interested U.S. backers, including Amazon, Oracle, billionaire Frank McCourt and his Project Liberty consortium, and numerous private equity firms. Some proposals reportedly structure the deal to give a U.S. buyer 50% ownership of the company, rather than a complete acquisition. The Chinese government will still need to approve the deal, and AppLovin’s interest in purchasing TikTok in “all markets outside of China” is “preliminary,” according to an April 3 SEC filing.
Correction: A prior version of this story incorrectly characterized China’s ongoing role in TikTok should AppLovin acquire the app.
U.S. President Donald Trump speaks during an event announcing new tariffs in the Rose Garden at the White House in Washington, April 2, 2025.
Chip Somodevilla | Getty Images
President Donald Trump announced an aggressive, far-reaching “reciprocal tariff” policy this week, leaving many economists and U.S. trade partners to question how the White House calculated its rates.
Trump’s plan established a 10% baseline tariff on almost every country, though many nations such as China, Vietnam and Taiwan are subject to much steeper rates. At a ceremony inthe Rose Garden on Wednesday, Trump held up a poster board that outlined the tariffs that it claims are “charged” to the U.S., as well as the “discounted” reciprocal tariffs that America would implement in response.
Those reciprocal tariffs are mostly about half of what the Trump administration said each country has charged the U.S. The poster suggests China charges a tariff of 67%, for instance, and that the U.S. will implement a 34% reciprocal tariff in response.
However, a report from the Cato Institute suggests the trade-weighted average tariff rates in most countries are much different than the figures touted by the Trump administration. The report is based on trade-weighted average duty rates from the World Trade Organization in 2023, the most recent year available.
The Cato Institute says the 2023 trade-weighted average tariff rate from China was 3%. Similarly, the administration says the EU charges the U.S. a tariff of 39%, while the 2023 trade-weighted average tariff rate was 2.7%, according to the report.
In India, the Trump administration claims that a 52% tariff is charged against the U.S., but Cato found that the 2023 trade-weighted average tariff rate was 12%.
Many users on social media this week were quick to notice that the U.S. appeared to have divided the trade deficit by imports from a given country to arrive at tariff rates for individual countries. It’s an unusual approach, as it suggests that the U.S. factored in the trade deficit in goods but ignored trade in services.
The Office of the U.S. Trade Representative briefly explained its approach in a release, and stated that computing the combined effects of tariff, regulatory, tax and other policies in various countries “can be proxied by computing the tariff level consistent with driving bilateral trade deficits to zero.”
“If trade deficits are persistent because of tariff and non-tariff policies and fundamentals, then the tariff rate consistent with offsetting these policies and fundamentals is reciprocal and fair,” the USTR said in the release.