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It’s been almost a decade since Facebook founder Mark Zuckerberg shocked the tech world, announcing his company’s agreement to spend $19 billion on WhatsApp, a popular messaging app with a tiny business.

Since then, WhatsApp has remained somewhat of an anachronism. Usage has continued to grow, with more than 2 billion people now counting on the app to chat with friends and family, up from 450 million at the time of the acquisition. But it’s still not much of a moneymaker.

Unlike Instagram, which Facebook bought in 2012 for the much tidier sum of roughly $1 billion, WhatsApp doesn’t show ads, which is Zuckerberg’s core business. It’s also unrelated to his company’s hugely expensive pivot to the metaverse or its effort to catch up to TikTok with its short video product, Reels.

But the company now known as Meta has no intention of sidelining WhatsApp. Rather, Zuckerberg regularly touts the value of the asset and its potential to expand, boasting on Meta’s latest earnings call about the 200 million people who use the WhatsApp Business app, which helps companies communicate with clients. He told CNBC’s Jim Cramer in June 2022 that WhatsApp represents the “next chapter” for Meta.

To parlay its massive user base into a product that contributes in a big way to the bottom line, WhatsApp needs more large businesses across the globe to rely on the service as a main way to converse with customers. For each conversation, companies pay in the range of a half-cent to 15 cents, depending on the kind of chat and the country in which the exchange takes place.

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“It’s been clear for many years that people are trying to connect with businesses on WhatsApp,” said Alice Newton-Rex, the unit’s product director, in an interview with CNBC. “If you go to India or Brazil and you look around, you’ll see WhatsApp numbers posted up in shop windows everywhere. This is how businesses want to engage with their customers.”

Consumers in India, for example, use WhatsApp to book Uber rides and get movie recommendations on their Netflix accounts.

Newton-Rex joined WhatsApp four years ago, leaving her high-level position at London-based financial firm WorldRemit for the new gig. At the time, WhatsApp only had 15 product managers, a number that’s since ballooned to 90.

The product group is now tasked with building features that can unlock WhatsApp’s business in a substantial way and in helping WhatsApp fulfill the potential that Zuckerberg has long seen in the app.

Newton-Rex said Zuckerberg has been “a big part of the team,” adding that he regularly speaks with Will Cathcart, the current head of WhatsApp.

“He’s a big part of our strategy,” she said about Zuckerberg’s support of WhatsApp and its road map.

WhatsApp’s popularity around the world is undeniable. In countries like Brazil, India and Indonesia, people use it to chat with family and friends and stay updated on current affairs. There’s particular appeal in countries that historically lacked robust telecommunications infrastructure, as WhatsApp has made it feasible for people in those regions to affordably communicate via smartphone.

“Back in 2009, it was extremely expensive to send a text message, and if you wanted to make a call or particularly an international call, that might set you back hundreds of dollars,” Newton-Rex said. “WhatsApp changed all that.”

Newton-Rex recalled the time a member of the app’s research group compared WhatsApp to oxygen.

“I think the idea that it’s sort of everywhere and it’s effortless to use, you maybe don’t think too deeply about using it, but you would be in real trouble if someone took it away,” she said.

What’s up with WhatsApp’s business?

Former WhatsApp CEO and co-founder Jan Koum

David Ramos | Getty Images

In the years after the Facebook deal, Koum and Acton reportedly clashed with executives over issues related to data privacy and monetizing WhatsApp. Acton left in 2017, and Koum followed him out the door a year later.

It’s not just an issue of privacy and morals. As Williamson noted, WhatsApp’s core function as an encrypted platform for people to send each other private messages isn’t particularly “conducive to advertising.” Does a user really want a McDonald’s promotion to pop up alongside private messages with family members?

Yet throughout its almost two decades, Facebook has never had much of a business outside of ads, even as it’s expanded into consumer gadgets and the metaverse and, in the case of WhatsApp, getting companies to pay for messaging.

The plan is five years in the making. Meta kick-started its WhatsApp Business app in 2018, pitching it as a way for companies to more easily communicate with users through verified commercial accounts and a suite of in-app tools. In June, Meta said the WhatsApp Business app had quadrupled in the past three years to 200 million monthly active users.

Small companies can use the app for free or, depending on the country, pay a monthly subscription for added features like the ability to build a WhatsApp website, and to access a corporate account on up to 10 devices. Larger companies can pay for more expansive messaging campaigns and features to help them provide more customer service and support to big audiences via the WhatsApp Business platform.

With the upper-tier service, Meta charges per conversation, and the fee varies. In Brazil, for instance, a brief authentication conversation in which users are prompted to enter one-time passcodes for verification could cost a company 3.15 cents, while more complicated and extended marketing conversations detailing new promotions or special deals may cost 6.25 cents.

Meta said in its most recent annual report that sales in the company’s “Family of Apps-other revenue” segment, which houses the WhatsApp Business platform and other revenue sources like the net fees Meta receives from developers using its payment infrastructure, grew 12% year over year to $808 million in 2022.

While companies can’t run online ads on WhatsApp, they can buy a special kind of ad that’s now core to WhatsApp’s business strategy called “click-to-message,” which essentially redirects Instagram and Facebook users to WhatsApp to initiate an immediate conversation, Newton-Rex said.

Mark Zuckerberg told the world in October 2021 that he was rebranding Facebook to Meta as the company pushes toward the metaverse.

Facebook | via Reuters

It’s a strategy Meta is deploying more broadly. Zuckerberg said last year that the company’s click-to-message ad products running across WhatsApp, Messenger and Instagram are generating about $9 billion in annualized revenue. Most of those sales stem from the company’s Messenger app, which was first to offer that type of ad, but Zuckerberg said that the WhatsApp-specific click-to-message ads “just passed a $1.5 billion run rate, growing more than 80% year over year.” Meta says that all rolls up to total ad revenue and is not housed within WhatsApp.

More recently, Zuckerberg said during Meta’s first-quarter 2023 earnings call that the company’s click-to-message ads reached $10 billion in annualized revenue and added that “paid messaging on WhatsApp — has grown by 40% quarter over quarter,” without giving a revenue figure.

In addition to the newer ad products, Newton-Rex also highlighted WhatsApp’s Channels feature, which Meta debuted in June. The new tool, which is akin to a similar feature available in the Telegram messaging app, is intended to function like a “private broadcast service,” separate from the core WhatsApp messaging that takes place between friends and family members. It lets organizations and power users create their own channels to send messages or post updates and polls to large groups of people.

Although Channels is currently only available in a few countries, including Colombia and Singapore, Newton-Rex said Meta has bigger plans in store for the product and is considering ways to make money from it.

“Maybe you’ll be able to subscribe to a channel and you’d pay a small fee to hear from a news outlet or some celebrity who you cared about,” Newton-Rex said. “That could include also allowing channel owners to promote their own channel in our directory.”

As a broadcast tool, Channels isn’t an encrypted service. In the future, WhatsApp may allow groups like nonprofits or health organizations to ensure communications are encrypted for user or patient protection, the company said.

In looking for other ways to make money from Channels, ads could be an option, as there’s now a way for companies to run promotions without forcing them into a stream of confidential messages.

“We’re looking at a whole range of different monetization opportunities,” Newton-Rex said. “We haven’t fixed on any one thing yet.”

Cracking the U.S.

For all of Meta’s focus on WhatsApp expansion, the U.S. remains an elusive market, even though it’s a huge part of the parent company’s business. In the latest quarter, the U.S. and Canada combined accounted for 45% of Meta’s revenue.

According to Insider Intelligence data released in May, WhatsApp user penetration around the world was the highest in Spain, Italy and Argentina. In each country, at least 80% of internet users accessed WhatsApp once a month or more. In the U.S., that number was just 21.8%.

Still, Newton-Rex called North America WhatsApp’s “fastest-growing region,” without elaborating.

Researchers have found that the people in the U.S. most likely to use WhatsApp come from immigrant communities with extended family in other countries. The Pew Research Center has previously detailed that WhatsApp is the most popular messaging app used by Hispanic Americans.

For “a lot of people around the world who don’t use so many different internet services, WhatsApp is their gateway into having interactions on the internet,” Newton-Rex said.

Because WhatsApp uses encryption technology, it’s also attractive for people in countries with more repressive government regimes, while consumers in the U.S. are generally comfortable using Apple’s iMessage as well as direct messages on Facebook and X, formerly known as Twitter.

Newton-Rex said part of WhatsApp’s marketing strategy in the U.S. focuses on the app’s encryption technology, because data privacy often “comes up as an absolute top concern” for users. Last year, the company debuted a major promotional campaign highlighting WhatsApp’s encryption features.

Meta has been hammered in recent years by a number of data privacy blunders, such as the Cambridge Analytica scandal, scarring the company’s reputation.

“People really do know how important end-to-end encryption is,” Newton-Rex said. “They know that they don’t want their messages to be vulnerable to hackers, criminals, oppressive governments or anyone else who’s trying to listen in.”

Meanwhile, as Meta and other tech giants pour billions of dollars into generative artificial intelligence, Zuckerberg recently said his company plans to include more advanced chatbots into WhatsApp and other messaging tools.

Newton-Rex said Meta’s push into generative AI could assist in the development of more kinds of “business applications.”

“I think that messaging is going to be the main way that people interact with generative AI in future,” she said. “Imagine being able to have a really easy, instant, real-time conversation whenever you wanted to get customer service or to buy something with a business who you wanted to transact with. But it’s not just business applications.”

The global business messaging space is currently worth about $32 billion and is dominated by SMS, or short message service, technology that’s used to send things like status updates on airplane flight changes, Mobilesquared’s Lane said.

Lane said WhatsApp has the opportunity to offer more compelling ways for businesses to communicate with customers beyond short, simple text messages.

“For example, if you’re a restaurant, you can put your whole menu, different pages of your menu on WhatsApp,” Lane said. “The experience that you can have on a website or on an app, you can now have that within the messaging experience.”

That looks like a far-off promise, at least in the North American market. Williamson from Insider Intelligence said she does “not see any leap in usage of WhatsApp in the U.S.” in the near future.

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Hyperscaler AI spending could slow down if Oracle shows ‘discipline’

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Hyperscaler AI spending could slow down if Oracle shows 'discipline'

Wall St. concluded companies involved in the data center are paying too much to build: Jim Cramer

CNBC’s Jim Cramer on Tuesday proposed that action from Oracle could slow down other hyperscalers’ enormous artificial intelligence spending, saying the OpenAI partner should show “discipline.”

“Oracle already has a huge amount of debt. Their balance sheet’s not that good. At some point, they’ll heed the warning of the bond market and slow things down,” he said. “These data centers cost a fortune and even the best builders stumble…Oracle can’t risk blowing up its balance sheet for Sam Altman. That’s when and how we’re going to get out of this morass.”

Cramer named five tech behemoths engaged in massive AI spending: Amazon, Microsoft, Google, Meta and OpenAI in partnership with Oracle. These names are trying to outspend each other, building data centers wherever they can, Cramer said. He added that they’re also trying to keep rivals from encroaching on their core businesses.

This “reckless, imprudent data center spending” has sent these stocks’ valuations plummeting, Cramer said. He suggested that OpenAI “is funded by venture capitalists and the company seems willing to spend itself to death.” Other companies will try to keep up as long as the the ChatGPT maker keeps spending, Cramer continued. OpenAI has committed to spending over $300 billion over five years on Oracle’s technology, and its many commitments to other companies total close to $1.4 trillion.

But Oracle’s $18 billion bond issuance drew scrutiny across Wall Street, Cramer said, as many investors aggressively bought credit default swaps — insurance paid out if a company defaults on its obligations. If Oracle pumps the breaks on spending, competitors could follow suit and see their stocks climb, Cramer said.

“This way Oracle stays alive, and OpenAI is forced to choose which businesses it truly wants to target,” he said. “Because he who defends everything defends nothing.”

Oracle and OpenAI did not immediately respond to request for comment.

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Tesla stock hits record as Wall Street rallies around robotaxi hype despite slow EV sales

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Tesla stock hits record as Wall Street rallies around robotaxi hype despite slow EV sales

Tesla CEO Elon Musk attends the Saudi-U.S. Investment Forum, in Riyadh, Saudi Arabia, May 13, 2025.

Hamad I Mohammed | Reuters

What started off as a particularly rough year for Tesla investors is turning into quite the celebration.

Following a 36% plunge in the first quarter, the stock’s worst period since 2022, Tesla shares have rallied all the way back, reaching an all-time high of $489.48. That tops its prior intraday record of $488.54 reached almost exactly a year ago.

The stock got a spark this week after CEO Elon Musk, the world’s richest person, said Tesla has been testing driverless vehicles in Austin, Texas with no occupants on board, almost six months after launching a pilot program with safety drivers.

With the rally, Tesla’s market cap climbed to $1.63 trillion, making it the seventh-most valuable publicly traded company, behind Nvidia, Apple, Alphabet, Microsoft, Amazon and Meta, and slightly ahead of Broadcom. Musk’s net worth now sits at close to $683 billion, according to Forbes, more than $400 billion ahead of Google co-founder Larry Page, who is second on the list.

Bullish investors view the news as a sign that the company will finally make good on its longtime promise to turn its existing electric vehicles into robotaxis with a software update.

Tesla’s automated driving systems being tested in Austin are not yet widely available, and a myriad of safety related questions remain.

It’s been a rollercoaster year for Tesla, which entered the year in a seemingly favorable position due to Musk’s role in President Donald Trump’s White House, running the Department of Government Efficiency, or DOGE, an effort to dramatically downsize the federal government and slash federal regulations.

However, Musk’s work with Trump, endorsements of far-right political figures around the world, and incendiary political rhetoric sparked a consumer backlash that continues to weigh on Tesla’s brand reputation and sales.

For the first quarter, Tesla reported a 13% decrease in deliveries and a 20% plunge in automotive revenue. In the second quarter, the stock rallied but the sales decline continued, with auto revenue dropping 16%.

The second half of the year has been much stronger. In October, Tesla reported a 12% increase in third-quarter revenue as buyers in the U.S. rushed to snap up EVs and take advantage of a federal tax credit that expired at the end of September. The stock jumped 40% in the period.

Business challenges remain due to the loss of the tax credit, the ongoing backlash against Musk, and strong competition from lower-cost or more appealing EVs made by companies including BYD and Xiaomi in China and Volkswagen in Europe.

While Tesla released more affordable variants of its popular Model Y SUV and Model 3 sedans in October, those haven’t helped its U.S. or European sales so far. In the U.S., the new stripped-down options appear to be cannibalizing sales of Tesla’s higher-priced models. According to Cox Automotive, Tesla’s U.S. sales dropped in November to a four-year low.

Despite a difficult environment for EV makers in the U.S., Mizuho raised its price target on Tesla this week to $530 from $475 and kept its buy recommendation on the stock. Analysts at the firm wrote that reported improvements in Tesla’s FSD, or Full Self-Driving (Supervised) technology, “could support an accelerated expansion” of its “robotaxi fleet in Austin, San Francisco, and potentially earlier elimination of the chaperone.” 

Tesla operates a Robotaxi-branded ridehailing service in Texas and California but the vehicles include drivers or human safety supervisors on board for now.

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What Harvard researchers learned about use of AI in white-collar work at top companies

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What Harvard researchers learned about use of AI in white-collar work at top companies

The Baker Library of the Harvard Business School on the Harvard University campus in Boston, Massachusetts, US, on Tuesday, May 27, 2025. Recent research conducted by the Digital Data Design Institute at Harvard Business School is investigating where AI is most effective in increasing productivity and performance — and where humans still have the upper hand.

Bloomberg | Bloomberg | Getty Images

Workplace AI adoption is at an all-time high, according to Anthropic data, but just because organizations use AI doesn’t mean it’s effective.

“Nobody knows those answers, even though a lot of people are saying they do,” said Jen Stave, chief operator at the Digital Data Design Institute (D^3) at Harvard Business School. While much of the business world tries to figure out where AI can be best deployed, the team at D^3 is researching where the technology is most effective in increasing productivity and performance — and where humans still have the upper hand.

Workplace collaboration is a long-held standard for innovation and productivity, but AI is changing what that looks like. AI-equipped individuals perform at comparable levels to teams without access to AI, D^3’s recent research in partnership with Procter & Gamble finds. “AI is capable of reproducing certain benefits typically gained through human collaboration, potentially revolutionizing how organizations structure their teams and allocate resources,” according to the research.

Think AI-enabled teams, not just AI-equipped individuals.

While AI-equipped individuals show significant improvement in factors like speed and performance, strategically curated teams with AI have their own advantages. When factoring in the quality of outcomes, the best, most innovative solutions come from AI-enabled teams. This research relies on AI tools not optimized for collaboration, but AI systems purpose-built for collaboration could further enhance these benefits. In other words, simply replacing humans with AI may not be the fix businesses hope for.

“Companies that are actually thinking through the changes in roles and where we need to not just lean into it but protect human jobs and maybe even add some in that space if that’s our competitive advantage, that, to me, is a signal of a super mature mindset around AI,” Stave said.

The D^3 experiment at P&G also shows that AI integration significantly reduces gaps that exist between an organization’s pockets of domain expertise. For example, having a knowledge base at hand could make any one team’s outputs more universally beneficial beyond sole teams like human resources, engineering and research and development.

Morgan Stanley's Stephen Byrd: No job will be unaffected by AI

Lower-level workers benefit more, but it is a double-edged sword.

Another experiment D^3 conducted with Boston Consulting Group showed AI leads to more homogenized results. “Humans have more diverse ideas, and people who use AI tend to produce more similar ideas,” Stave said, recognizing that companies with goals of standing out in the market should lean into human-led creativity.

Performers on the lower half of the skill spectrum exhibit the biggest performance gains (43%) when equipped with AI compared to performers on the top half of the skill spectrum (who get a 17% performance surge). While both outcomes are substantial, it’s the entry-level workers who get the biggest perks.

But for the less-skilled workers, it’s a double-edged sword. For instance, if AI can do junior work better, the senior-level workplace might stop delegating work to their junior counterparts, creating training deficits that negatively impact future performance. Bearing a company’s future in mind, businesses will want to carefully consider what they do and don’t delegate.

Human managers are not prepared to oversee AI agents. They need to learn

While Stave says humans serving as managers to a suite of AI agents is “absolutely going to happen,” the scaffolding to do so both effectively and with minimal adverse harm is simply not there. Stave herself has had this experience, and it contrasted with all her managerial and leadership education. “You learn how to manage according to empathy and understanding, how to make the most of human potential,” she said. “I had all these AI agents that I was personally trying to build and manage. It was a fundamentally different experience.”

Moreover, while Grammarly CEO Shishir Mehrotra said entry-level workers could be the new managers (with AI agents — not people — in their charge), the junior workforce has not actually proven to be enterprise AI-native or managerially equipped. “We want to see AI giving humans more opportunity to flourish. The challenge I have is with assuming that the junior employees are going to step in and know how to do that right away,” Stave said.

She added that the companies truly getting value from their AI deployments are the ones undertaking process redesign. Instead of relying on AI notetaking to save time, lean into where AI helps and where humans are the winners. “It’s very easy to buy a tool and implement it,” she said. “It’s really hard to actually do org redesign, because that’s when you get into all these internal empires and power struggles.”

But even so, she says, the effort is worth it.

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