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A woman crossing a normally busy stretch of downtown San Francisco suffered serious injuries Monday night after a hit-and-run driver struck her, throwing her into the path of an oncoming driverless Cruise car, which then ran her over, according to video recorded by the autonomous vehicle that Cruise showed to the NBC Bay Area Investigative Unit.

Courtesy NBC Bay Area

Federal regulators have opened a preliminary investigation into whether Cruise autonomous cars exercised “appropriate caution” in and around pedestrians, the National Highway Traffic Safety Administration wrote in a filing.

The NHTSA probe was prompted by two reports involving pedestrian injuries and Cruise vehicles in recent months. The agency also cited two other incidents that it identified through “videos posted to public websites,” according to the filing. The probe was formally opened Monday.

One incident on October 2 involved a situation where a pedestrian was thrown by another vehicle into the path of a driverless Cruise vehicle. That incident matches the details of a hit-and-run crash in San Francisco, which resulted in one pedestrian being transported to the hospital.

At the time of the incident the company said its autonomous vehicle braked “aggressively” and that it was “actively working” with San Francisco police to identify the hit-and-run driver. Cruise said it had spoken with the NHTSA about the October 2 incident and provided them with video footage, adding that the regulator had not raised further questions.

The other incident occurred in August. According to the incident report, a Cruise autonomous vehicle moving at a speed of about 1.4 miles per hour struck a pedestrian who stepped into a crosswalk after the stoplight had turned green, and the vehicle was allowed to proceed, according to the incident report. The pedestrian was then transported by emergency medical services.

Cruise said that the NHTSA had not spoken with the company about the August incident or the two incidents apparently posted on social media. The company also said the pedestrian was transported after experiencing knee pain.

“Cruise’s safety record over 5 million miles continues to outperform comparable human drivers at a time when pedestrian injuries and deaths are at an all-time high,” Cruise spokesperson Hannah Lindow said in a statement to CNBC. “Cruise communicates regularly with NHTSA and has consistently cooperated with each of NHTSA’s requests for information – whether associated with an investigation or not – and we plan to continue doing so.”

Cruise is a subsidiary of General Motors. The company, alongside Alphabet subsidiary Waymo, has been deploying its vehicles across San Francisco for months. Critics of the autonomous driving rollout, including some San Francisco emergency responders, have cited incidents where driverless vehicles have obstructed emergency vehicles.

Proponents have argued that driverless vehicles are safer than human-driven ones. Other companies, including some based in China, are also testing driverless vehicles on San Francisco streets.

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Op-ed: The fuel for the AI boom driving the markets is advertising. It is also an existential risk.

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Op-ed: The fuel for the AI boom driving the markets is advertising. It is also an existential risk.

Sam Altman, chief executive officer of OpenAI Inc., during a media tour of the Stargate AI data center in Abilene, Texas, US, on Tuesday, Sept. 23, 2025.

Kyle Grillot | Bloomberg | Getty Images

With OpenAI’s recent release of its AI browser, the historic level of capital expenditures being made in the current AI arms race may accelerate even further, if that is possible.

From the reciprocal, and some have said circular, nature of hundreds of billions in commitments in investment, tied to future chip purchases, to the extent to which GDP growth is reliant on this boom, some have said this is a bubble. A Harvard economist estimates 92% of US GDP growth in the first half of 2025 was due to investment in AI.

But much more needs to be understood about the connection between the breakneck investment in AI and the business models that underpins the entire economy: the advertising technology (Ad Tech) industrial complex.

For the past 25 years the infrastructure of the internet has been engineered to extract advertising revenue. Search Engine Marketing, the advertising business model at the core of Google, is perhaps the greatest business model of all time. Meta’s advertising business, based on engagement and attribution, is a close second. And right behind both of these is Amazon’s advertising business, powered by its position as the largest online retailer. While a smaller portion of Amazon‘s topline, its highly profitable advertising business makes up a disproportionate percentage of Amazon’s profits. So much so that nearly every major retailer has spun up their own version of retail media networks, all driving significantly to the bottom lines and market capitalization of massive companies like Walmart, Kroger, Uber (and UberEats), Doordash and many more.

In fact, these platforms have been using AI to refine their advertising business models for years, in the form of algorithmic models that powered their search and recommendation engines, and to increase engagement and better predict purchase decision, seeking an ever-greater share of all commerce, not just what is typically thought of as “advertising.” These three multi-trillion-dollar market cap companies either
wholly, or substantially, derive their profits from advertising. And now they are using some portion of those historically profitable advertising revenues to fuel infrastructure investments at a level the world has not seen outside of War Time spending by governments.

But at the same time, the latest wave of AI has the potential to disrupt the very same trillions in market cap that is fueling it. AI will, without question, change how people search (Google), shop (Amazon) and are entertained (Meta). Answers delivered without clicking around the web. AI-assisted shopping. Infinite personalized content creation.

If AI represents such a potential existential risk, why are Google, Meta and Amazon such a huge part of the current arms race to invest in AI? The “moonshot” outcome of would be that achieving Artificial General Intelligence, or Super Intelligence, AI that can do anything a human can, but better, would unlock so much value that it would dwarf any investment.

But there is more immediate urgency to protect, or disrupt, the advertising business model fueling the trillions in market cap and hundreds of billions of current investment, before someone else does. While the seminal paper that launched this phase of AI, “Attention is All You Need” was written by mostly Google researchers, it was OpenAI and Microsoft, and now Grok as well, that launched the current AI arms race. And they are not remotely as dependent on the current advertising industrial complex. In fact,
Sam Altman has called the feeds of the major platforms using AI to maximize advertising dollars, “the first at-scale misaligned AIs.” He is clearly stating which businesses he believes OpenAI is trying to disrupt.

What comes next?

This time is different, but it also comes with different risks. The major difference with the current fever in infrastructure investment vs the dotcom bubble of 2000, is that in large part the companies funding it are among the most profitable companies in the world. And so far, there has not been indications of cracks in the business model of advertising that is both funding their investments, and their market capitalizations (along with so many massive companies people wouldn’t think about being in the advertising business).

But if AI does disrupt, or even break, the current advertising model, the shock to the economy and markets would be far greater than most could imagine.

Google, Meta and Amazon are still best positioned to create new business models, and as mentioned, have been using AI for far longer to support their advertising business models with great success.

However, fundamentally changing the way people interface with search, commerce and content online will require just that, entirely new revenue models, maybe, hopefully, some that are aligned, that are not advertising based. But whatever the model, perhaps it is helpful to consider that the justification in AI
infrastructure spending may not be to just unlock new revenue, but to protect the business models that make up a much more significant portion of the market capitalization of public companies than most people are aware.

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Pinterest plunges 20% after weak results as tariffs drag on ad revenue

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Pinterest plunges 20% after weak results as tariffs drag on ad revenue

Silas Stein | Picture Alliance | Getty Images

Pinterest shares plummeted 20% on Wednesday after lackluster third-quarter earnings as advertising took a hit from larger retailers dealing with tariffs.

The company posted a profit of 38 cents per share adj., while analysts polled by LSEG expected earnings of 42 cents per share. However, the platform’s revenue did meet analyst estimates of $1.05 billion.

“Tariff-related weakness showed up for the first time in our digital ads universe and will reinforce PINS’ lack of customer diversity for the bears and higher macro sensitivity,” RBC wrote in an analyst note.

Third-quarter sales in the U.S. and Canada came in at $786 million, lower than StreetAccount’s estimates of $799 million.

Pinterest finance chief Julia Donnelly said during the earnings call that the company faced “some pockets of moderating ad spend” in the two countries during the quarter due to unnamed “larger U.S. retailers” that faced pressure on their margins from tariff-related issues.

Donnelly added that the company expects these trends to continue with the addition of a new tariff from President Donald Trump that will impact the home furnishings category.

Several banks lowered their price targets following the earnings report, pointing to increasing competition from larger social platforms like Instagram and TikTok and concerns over macro headwinds.

Citi analyst Ronald Josey noted that the company’s international monetization could “plateau or decelerate faster than expected.”

However, 81% of analysts still maintained an outperform or buy rating.

Read more CNBC tech news

JPMorgan remained overweight on the stock despite lowering its price target, as the company leans into more artificial intelligence initiatives.

“We recognize that near-term macro pressure & PINS’s outsized exposure to big retailers & home furnishings may keep the shares range-bound near-term, but we remain constructive on PINS’ user growth, deepening engagement, & overall monetization potential,” JPMorgan’s Doug Anmuth wrote.

The company also issued a weak fourth-quarter forecast, expecting revenue to come between $1.31 billion and $1.34 billion. The midpoint of that range, $1.325 billion, missed Wall Street’s projections of $1.34 billion.

“I did not think they were nearly as negative on the holiday season as people are making it out,” CNBC’s Jim Cramer said Wednesday on “Squawk on the Street.” “They are very muted. [CEO] Bill Ready is not a guy that likes to talk his books up.”

Rosenblatt analyst Barton Crockett downgraded shares to neutral from buy, citing concerns for how the company will be able to compete against the surging growth of chatbot capabilities.

“Chatbots are not meaningfully in Pinterest’s space today,” Crockett wrote. “Google has a comparable service, Mixboard, that seems more a test than a meaningful push. But it is absolutely likely, we believe, that as chatbots ramp up advertising and content for consumers with commercial intent, that Pinterest’s wheelhouse will become their wheelhouse.”

Bank of America analyst Justin Post noted that while revenues fell short, the company is continuing to post steady growth and is in “the early stages of realizing AI-driven gains.”

Ready said in the earnings call that the company is working to integrate more AI throughout the platform, including a new feature that will curate personalized boards for users. Pinterest also rolled out an AI-powered personal shopping assistant at the end of October.

“Our investments in AI and product innovation are paying off,” Ready said in a statement. “We’ve become a leader in visual search and have effectively turned our platform into an AI-powered shopping assistant for 600 million consumers.”

Cramer's Mad Dash: Pinterest

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Armis raises $435 million, valuing cybersecurity startup at $6.1 billion

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Armis raises 5 million, valuing cybersecurity startup at .1 billion

Armis CEO Yevgeny Dibrov and CTO Nadir Izrael.

Courtesy: Armis

Cybersecurity startup Armis has raised $435 million in a funding round that values the company at $6.1 billion.

“The need for what Armis is doing and what we are building, in this cyber exposure management and security platform, is just increasing,” CEO and co-founder Yevgeny Dibrov told CNBC. There’s “very unique and huge demand right now, and we are continuing to grow.”

Goldman Sachs Alternatives’ growth equity fund anchored the investment, with participation from CapitalG, a venture arm of Alphabet. The security firm brought on Evolution Equity Partners as a new investor.

Armis helps businesses secure and manage internet-connected devices and protect them against cyber threats. The company chose Goldman’s growth fund due to its strong track record helping companies accelerate growth toward initial public offerings, Dibrov said.

“This is the partner for us to go to the next stage and continue to build here a real generational business to get to the Hall of Fame of cyber and SaaS businesses,” he said.

In September, Bloomberg reported that the company was exploring as much as seven stake offers. Dibrov told CNBC the funding round was an outcome of those talks.

Founded in 2016, Armis in August said it surpassed $300 million in annual recurring revenues. The California-based company achieved that milestone less than a year after topping $200 million in ARR.

Armis raised $200 million in an October 2024 funding round with General Catalyst and Alkeon Capital. Previous backers have included Sequioa Capital and Bain Capital Ventures. Armis also raised $100 million in a secondary offering in July.

Dibrov said Armis is aiming for an IPO at the end of 2026 or early 2027, but he said he’s in no rush and is waiting on “market conditions.” The company’s primary goal is to hit $1 billion in annual recurring revenue, he said.

“Going public will be before that,” he said.

WATCH: Tech meets policy: Cybersecurity collaboration necessary in the era AI, says Google engineer

Tech meets policy: Cybersecurity collaboration necessary in the era AI, says Google engineer

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