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.”
Zach Perret, CEO and co-founder of Plaid, speaks during the Silicon Slopes Tech Summit in Salt Lake City, Utah, U.S., on Jan. 31, 2020.
George Frey | Bloomberg via Getty Images
Plaid on Thursday announced a new funding round that values the fintech startup at $6 billion, down from $13.4 billion in 2021. The new funding will give some employees a way to cash out.
The $575 million round was led by a batch of new investors including Franklin Templeton, Fidelity and BlackRock. Existing backers NEA and Ribbit Capital also participated, Plaid said.
Plaid CEO Zach Perret said the startup saw a “substantial” growth year with record revenue and positive operating margins, though he did not provide specifics. The downsized valuation is a reflection of market conditions, he said.
“The reality is our business is much stronger and revenue has grown quite substantially,” Perret told CNBC. “The profitability of business has gotten quite a lot better, and yet we are impacted by market multiples, as many companies are.”
Plaid is “not ready” for an IPO quite yet, but this round will be the last private fundraise until the company lists on public markets, he said.
“An IPO is absolutely on our path for the coming years. We haven’t assigned a specific timeline to it,” Perret said. “We still have a lot of internal work to do. We’re not ready, which is why we didn’t consider it right now.”
Rise of secondary rounds
Plaid’s new funding allows employees to cash out of restricted stock units that expire at the end of the year. The startup will also use a portion of the proceeds to enable an employee tender offer.
“That’s the motivation for the round,” Perret said. “We think it’s important to give our employees options to sell and the ability to have liquidity, especially given that Plaid has been private for so long.”
Plaid is the latest in a string of late-stage, private deals designed to enable employees to cash out in private markets. Ramp, DataBricks, OpenAI and Stripe have all announced secondary financings that were designed to let some employees get liquidity. Few of those companies seem eager to wade into public markets. Recent volatility around stocks and lackluster performance of recent IPOs, including CoreWeave’s last week, has kept some companies on the sidelines.
“Volatility is definitely going to be one of the key factors,” Perret said, adding that it was too early to assess IPO market conditions for Plaid.
The startup has been on a roller coaster in private markets since it was founded a decade ago. Plaid was set to be bought by Visa for $5 billion in 2020 in a deal that was eventually called off amid regulatory scrutiny. The following year, it raised money at a $13.4 billion valuation. That also marked the peak for growth and technology valuations before the Federal Reserve began raising interest rates.
Plaid provides the plumbing to connect consumer bank accounts to popular finance apps. Its APIs let consumers link their bank accounts to services like Venmo, Robinhood and Coinbase. Since then, it’s expanded into direct bill pay, cyber security and data analytics. It also partners with major banks.
Cybersecurity is one of Plaid’s largest growth areas, Perret said. He pointed to financial fraud growing at 20% to 25% per year as a result of the boom in artificial intelligence.
“We’ve been leaning in to try to build tools to combat deep fakes and a lot of AI-driven financial fraud,” he said. “Unfortunately, this is a large market opportunity. It’s something that we’d actually like to be smaller. But it’s been an area of growth.”
Apple’s iPhone 16 at an Apple Store on Regent Street in London on Sept. 20, 2024.
Rasid Necati Aslim | Anadolu | Getty Images
Apple has made moves to diversify its supply chain beyond China to places like India and Vietnam, but tariffs announced by the White House are set to hit those countries too.
China will face a 34% tariff, but with the existing 20% rate, that brings the true tariff rate on Beijing under this Trump term to 54%, CNBC reported. India faces a 26% tariff, while Vietnam’s rate is 46%.
Apple was not immediately available for comment when contacted by CNBC.
Here’s a breakdown on Apple’s supply chain footprint that could be affected by tariffs.
China
The majority of Apple’s iPhones are still assembled in China by partner Foxconn.
China accounts for around 80% of Apple’s production capacity, according to estimates from Evercore ISI in a note last month.
Around 90% of iPhones are assembled in China, Evercore ISI said.
While the number of manufacturing sites in China dropped between Apple’s 2017 and 2020 fiscal year, it has since rebounded, Bernstein said in a note last month. Chinese suppliers account for around 40% of Apple’s total, Bernstein said.
Evercore ISI estimates that 55% of Apple’s Mac products and 80% of iPads are assembled in China.
India
Apple is targeting around 25% of all iPhones globally to be made in India, a government minister said in 2023.
India could reach about 15%-20% of overall iPhone production by the end of 2025, Bernstein analysts estimate. Evercore ISI said around 10% to 15% of iPhones are currently assembled in India.
Vietnam
Vietnam has emerged in the past few years as a popular manufacturing hub for consumer electronics. Apple has increased its production in Vietnam.
Around 20% of iPad production and 90% of Apple’s wearable product assembly like the Apple Watch takes place in Vietnam, according to Evercore ISI.
Other key countries
Malaysia is a growing manufacturing location for Apple for Macs and is facing a 25% tariff. Thailand is also a small hub for Mac production and will be hit with a 36% levy.
Apple also sources components from South Korea, Japan, Taiwan and the United States. Components may be shipped from one country to another before assembly takes place in China or elsewhere.
In February, Apple announced plans to open a new factory for artificial intelligence servers in Texas as part of a $500 billion investment in the U.S.
However, Apple does not have mass production in the United states. It produces only the Mac Pro in Texas.
A Xiaomi store in Shanghai, China, on March 16, 2025.
Qilai Shen/Bloomberg | Bloomberg | Getty Images
Chinese electric carmakers Xiaomi, Xpeng and Leapmotor each delivered nearly 30,000 or more cars in March, roughly twice several of their fellow startup competitors.
It’s a sign of how some automakers are pulling ahead, while BYD remains the market leader by far.
Xiaomi delivered a record number of electric vehicles in March, exceeding 29,000 units, the company announced on social media. That topped its prior run of delivering more than 20,000 vehicles in each of the past five months.
The SU7, Xiaomi’s flagship model, was involved in a crash on a highway on Tuesday that left three dead. The automaker on Tuesday afternoon released a statement on Chinese social media that the vehicle was in navigation on autopilot mode before the accident.
Based on preliminary information, the road was obstructed because of construction. The driver took control of the car but collided with construction infrastructure. Xiaomi added in the release that investigations were underway.
That came two weeks after the automaker announced on March 18 its goal to deliver 350,000 vehicles this year. There are also talks of the automaker expanding its second EV factory in Beijing to meet demand, Bloomberg reported on March 18. Xiaomi did not immediately respond to CNBC’s request for comment.
Its competitor Xpeng in March delivered 33,205 vehicles, the fifth consecutive month it has delivered over 30,000 units per month and reflecting a 268% surge in deliveries from the same month last year. March is also the fifth consecutive month the company has delivered over 15,000 units of the Mona M03.
Li Autodelivered 36,674 vehicles in March, a 26.5% year-over-year increase, but fewer than every month in the second half of 2024. The company’s cars had gained early traction with Chinese consumers since most come with a fuel tank for charging the vehicle’s battery, reducing anxiety about driving range.
BYD sold 371,419 passenger vehicles in March, reflecting a year-over-year growth of 57.9%. Its overseas sales volume also hit a record high of 72,723 units in March.
Across the board, major companies across China’s electric car industry reported deliveries rose last month, indicating a pick-up in demand from the seasonally soft first two months of the year.
U.S. automaker Tesla sold 78,828 electric vehicles in China in March, marking a 11.5% year-over-year decline in growth.
Other Chinese carmakers saw growth in deliveries but some still struggled to break through the 20,000-unit mark.
Niodelivered 15,039 vehicles, a 26.7% year-over-year growth, but well below the number of cars delivered in the months of May to December last year. Nio-owned Onvo, which markets its electric vehicles as family-oriented, in March recorded 15,039 units in deliveries.
Aito, as of April 2, has not published its delivery numbers for March. The automaker, which uses Huawei tech in its vehicles, on social media had reported monthly deliveries of 34,987 and 21,517 in January and February, respectively.
Quarterly performance
On a first-quarter basis, BYD remained in the lead with 986,098 vehicles sold. The automaker, which overtook Tesla in annual sales last year, surpassed the U.S. EV giant in battery electric vehicles sales this quarter.
Tesla sold 172,754 vehicles in China in the first quarter this year, according to monthly delivery numbers published by the China Passenger Car Association.
Xpeng also reported strong growth, with a total of 94,008 vehicles delivered in the quarter ending in March, reflecting a 331% year-over-year growth.
Leapmotor saw quarterly deliveries more than double to 87,552 units from 33,410 units the same period in 2024, according to publicly available numbers the company published.
However, Li Auto and Nio reported weaker growth than their competitors in the first quarter of the year.
Nio saw 42,094 vehicles delivered in the three months ended March 2025, an increase of 40.1% year over year. Li Auto saw a slower year-over-year growth of 15.5%, with a total of 92,864 vehicles delivered.