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Stock Market News Review: SPY, QQQ Resilient as U.S.-Canada Trade Talks End, Inflation Rises

Stock Market News Review: SPY, QQQ Resilient as U.S.-Canada Trade Talks End, Inflation Rises

Business Insider7 hours ago

Both the S&P 500 ETF (SPY) and the Nasdaq 100 ETF (QQQ) secured new intraday all-time highs on Friday, although some of the gains were erased after President Trump said that the U.S. had terminated its trade talks with Canada.
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Following Canada's decision to proceed with its digital services tax on U.S. technology companies, Trump announced a halt to all U.S.-Canada trade discussions. The tax charges a 3% fee on all U.S. tech revenue above C$20 million, or about $14.6 million, collected from Canadian users.
'We will let Canada know the Tariff that they will be paying to do business with the United States of America within the next seven day period,' said Trump on Truth Social.
Trump also said that the U.S. would no longer consider removing sanctions on Iran following a speech from Iranian Supreme Leader Ayatollah Ali Khamenei. Khamenei downplayed the damage of the U.S. strikes on three of Iran's nuclear sites and said that the country had delivered a 'slap to America's face.'
Meanwhile, the core personal consumption expenditures (PCE) index, the Fed's preferred gauge of inflation, showed a monthly rise of 0.2% and a yearly rise of 2.7%. Economists were expecting growth of 0.1% and 2.6%, respectively. Furthermore, April's core PCE was revised upward to 2.6% from 2.5%. Core PCE excludes food and energy prices from the regular PCE index given their volatility.
Shifting gears to more optimistic news, Trump is preparing executive orders to support AI development, according to Reuters. The orders could include green-lighting the construction of AI data centers on federal land and easier grid access for new energy projects, said sources close to the matter.
What's more, consumer sentiment could be in the early stages of a recovery. The June Index of Consumer Sentiment rose by 16% month-over-month to 60.7, reversing six consecutive months of declines. Economists were expecting 60.5, with a higher figure representing a more positive economic outlook. At the same time, fears over tariff-driven inflation and economic uncertainty still persist.
'Despite June's gains, however, sentiment remains about 18% below December 2024, right after the election; consumer views are still broadly consistent with an economic slowdown and an increase in inflation to come,' said Survey of Consumers Director Joanne Hsu.

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Morgan Stanley Raised The PT on Snowflake Inc. (SNOW), Maintains a Buy Rating
Morgan Stanley Raised The PT on Snowflake Inc. (SNOW), Maintains a Buy Rating

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Morgan Stanley Raised The PT on Snowflake Inc. (SNOW), Maintains a Buy Rating

Snowflake Inc. (NYSE:SNOW) is one of the . On June 24, analyst Sanjit Singh from Morgan Stanley raised the price target on Snowflake Inc. (NYSE:SNOW) from $220 to $262, while maintaining a Buy rating on the stock. The improved outlook is based on the company's performance under CEO Sridhar Ramaswamy. Analyst Singh noted that Snowflake Inc. (NYSE:SNOW) has improved its execution across sales, go-to-market strategies, and product engineering, which has stabilized the company's product revenue growth to a high 20% range. Moreover, the has also enhanced its innovation across various high-growth sectors including cloud data warehousing, data engineering, and AI/ML platforms. A software engineer at work, surrounded by a wall of computer monitors connected to a 'Data Cloud' platform. Singh projects durable growth exceeding 20% annually through 2030, supported by expanding operating margins and a clear strategy to tap into a $300+ billion market opportunity. During the fiscal first quarter of 2026, Snowflake Inc. (NYSE:SNOW) grew its product revenue by 26% year-over-year to reach $996.8 million. The company also maintained a net revenue retention rate of 124%. Looking ahead, management anticipates second-quarter revenue between $1.035 billion to $1.040 billion, indicating 25% growth. While we acknowledge the potential of SNOW as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: The Best and Worst Dow Stocks for the Next 12 Months and 10 Unstoppable Stocks That Could Double Your Money. Disclosure: None.

Your member of Congress might be using ChatGPT
Your member of Congress might be using ChatGPT

Business Insider

time27 minutes ago

  • Business Insider

Your member of Congress might be using ChatGPT

In December, Rep. Thomas Massie used an analogy for foreign aid that was an instant hit among his libertarian and America-First Republican fans. "US foreign aid spending is like watering the neighbor's yard while your house is on fire," the Kentucky Republican posted on X, adding a fire emoji. Fox News wrote an article about it, and two months later, the libertarian student group "Young Americans for Liberty" turned it into an Instagram post. As it turns out, Massie didn't come up with the line himself. Grok did. Massie told BI this month that he ripped the phrase from a speech he asked the xAI-developed chatbot to generate using his voice. He said he's done this more than once. "Out of five paragraphs, I'll find one sentence that's good," Massie said. "But it makes it worth doing." Leaning on AI for speechwriting is an apparently bipartisan affair on Capitol Hill. "I'll type in some phrases and say, can we make this more punchy?" Democratic Rep. Ro Khanna of California told BI, adding that he began using ChatGPT "almost like an editor" in the last year. "There was some speech I gave where it edited in a couple of lines that people thought, 'Wow, that's really good,'" Khanna said. Congress has developed a reputation for lagging behind the public when it comes to adopting new technology. Plenty of lawmakers told BI that they have yet to get into using AI, either because they're skeptical that it will be useful for them or they just haven't gotten around to it. But several lawmakers have begun to casually adopt the technology, most often as a search engine and research tool. Khanna said he uses both ChatGPT and Grok, turning to the technology "two to three times per day." Massie, who uses Grok because of its convenient placement within the X app, said he uses the chatbot for "anything." 'Impressively good at certain things and pretty miserable at some things' As Sen. Ron Johnson of Wisconsin has waged a fight to make deeper cuts to federal spending as part of the "Big Beautiful Bill," he's been consulting with Grok. "I got up at 3 o'clock in the morning with an idea to use it," the Wisconsin Republican told BI in early June. He said the technology's been useful for running the numbers on the bill's impact on the deficit and to find documents that support his arguments. "It's really great at identifying sources without me having to crawl around in government forms." In some ways, members of Congress are just doing what other Americans are doing. More and more people are using AI at work, according to a recent Gallup poll, with 40% of employees saying they use it a few times per year. Another 19% say they use it frequently, while 8% say they use it on a daily basis. Sen. Ted Cruz of Texas, a champion of a controversial provision in the "Big Beautiful Bill" that would restrict state's ability to regulate AI for 10 years, told BI that while he "would not claim to be a sophisticated AI user," he's been using ChatGPT as an "enhanced search engine." Cruz said he recently asked an AI chatbot about his own record, when he "could not remember when I had first taken a public position" on a particular policy area. "It gave a very thorough answer, going back to an interview I'd done in 2012 and a comment I'd made in 2014," Cruz said. "That research previously would have required some staff assistance, spending hours and hours, and you still wouldn't have found anything." Large language models like ChatGPT and Grok are known to sometimes present false information as fact — known as "hallucinating." For Democratic Sen. Elizabeth Warren of Massachusetts, that's enough to discourage her from using it. "It lies," Warren told BI. "I've tried using it, and it gets things wrong that I already know the answer to. So when I see that, I've lost all confidence." Democratic Sen. Chris Murphy of Connecticut said he's tried ChatGPT and has been disappointed by its apparent limitations, even when carrying out more basic tasks. In one instance, Murphy said he asked ChatGPT to generate a list of his Democratic colleagues ordered alphabetically by first name, only for it to include retired senators. "It seems to be impressively good at certain things and pretty miserable at some things," Murphy said. Even those who are otherwise fans of the technology said they're aware that they could be getting fed incorrect information. "My chief of staff has astutely warned me that AI is often confidently wrong," Johnson said. "So you really have to be careful in how you phrase your questions." "It definitely hallucinates on you," Massie said. "It told me there was a Total Wine and More in Ashland, Kentucky, and no such thing exists."

The AI Mental Health Market Is Booming — But Can The Next Wave Deliver Results?
The AI Mental Health Market Is Booming — But Can The Next Wave Deliver Results?

Forbes

time30 minutes ago

  • Forbes

The AI Mental Health Market Is Booming — But Can The Next Wave Deliver Results?

AI tools promise scalable mental health support, but can they actually deliver real care, or just ... More simulate it? In April of 2025, Amanda Caswell found herself on the edge of a panic attack one midnight. With no one to call and the walls closing in, she opened ChatGPT. As she wrote in her piece for Tom's Guide, the AI chatbot calmly responded, guiding her through a series of breathing techniques and mental grounding exercises. It worked, at least in that moment. Caswell isn't alone. Business Insider reported earlier that an increasing number of Americans are turning to AI chatbots like ChatGPT for emotional support, not as a novelty, but as a lifeline. A recent survey of Reddit users found many people report using ChatGPT and similar tools to cope with emotional stress. These stats paint a hopeful picture: AI stepping in where traditional mental health care can't. But they also raise a deeper question about whether these tools are actually helping. A Billion-Dollar Bet On Mental Health AI AI-powered mental health tools are everywhere — some embedded in employee assistance programs, others packaged as standalone apps or productivity companions. In the first half of 2024 alone, investors poured nearly $700 million into AI mental health startups globally, the most for any digital healthcare segment, according to Rock Health. The demand is real. Mental health conditions like depression and anxiety cost the global economy more than $1 trillion each year in lost productivity, to the World Health Organization. And per data from the CDC, over one in five U.S. adults under 45 reported symptoms in 2022. Yet, many couldn't afford therapy or were stuck on waitlists for weeks — leaving a care gap that AI tools increasingly aim to fill. Companies like are trying to do just that. Founded by Sarah Wang — a former Meta and TikTok tech leader who built AI systems for core product and global mental health initiatives — BlissBot blends neuroscience, emotional resilience training and AI to deliver what she calls 'scalable healing systems.' 'Mental health is the greatest unmet need of our generation,' Wang explained. 'AI gives us the first real shot at making healing scalable, personalized and accessible to all.' She said Blissbot was designed from scratch as an AI-native platform, a contrast to existing tools that retrofit mental health models into general-purpose assistants. Internally, the company is exploring the use of quantum-inspired algorithms to optimize mental health diagnostics, though these early claims have not yet been peer-reviewed. It also employs privacy-by-design principles, giving users control over their sensitive data. Sarah Wang- Founder, Blissbot 'We've scaled commerce and content with AI,' Wang added. 'It's time we scale healing.' Blissbot isn't alone in this shift. Other companies, like Wysa, Woebot Health and Innerworld, are also integrating evidence-based psychological frameworks into their platforms. While each takes a different approach, they share the common goal of delivering meaningful mental health outcomes. Why Outcomes Still Lag Behind Despite the flurry of innovation, mental health experts caution that much of the AI being deployed today still isn't as effective as claimed. 'Many AI mental health tools create the illusion of support,' said Funso Richard, an information security expert with a background in psychology. 'But if they aren't adaptive, clinically grounded and offer context-aware support, they risk leaving users worse off — especially in moments of real vulnerability.' Even when AI platforms show promise, Richard cautioned that outcomes remain elusive, noting that AI's perceived authority could mislead vulnerable users into trusting flawed advice, especially when platforms aren't transparent about their limitations or aren't overseen by licensed professionals. Wang echoed these concerns, citing a recent Journal of Medical Internet Research study that pointed out limitations in the scope and safety features of AI-powered mental health tools. The regulatory landscape is also catching up. In early 2025, the European Union's AI Act classified mental health-related AI as 'high risk,' requiring stringent transparency and safety measures. While the U.S. has yet to implement equivalent guardrails, legal experts warn that liability questions are inevitable if systems offer therapeutic guidance without clinical validation. For companies rolling out AI mental health benefits as part of diversity, equity, inclusion (DEI) and retention strategies, the stakes are high. No If tools don't drive outcomes, they risk becoming optics-driven solutions that fail to support real well-being. However, it's not all gloom and doom. Used thoughtfully, AI tools can help free up clinicians to focus on deeper, more complex care by handling structured, day-to-day support — a hybrid model that many in the field see as both scalable and safe. What To Ask Before Buying Into The Hype For business leaders, the allure of AI-powered mental health tools is clear: lower costs, instant availability and a sleek, data-friendly interface. But adopting these tools without a clear framework for evaluating their impact can backfire. So what should companies be asking? Before deploying these tools, Wang explained, companies should interrogate the evidence behind them. 'Are they built on validated frameworks like cognitive behavioral therapy (CBT) or acceptance and commitment therapy (ACT), or are they simply rebranding wellness trends with an AI veneer?,' she questioned. 'Do the platforms measure success based on actual outcomes — like symptom reduction or long-term behavior change — or just logins? And perhaps most critically, how do these systems protect privacy, escalate crisis scenarios and adapt across different cultures, languages, and neurodiverse communities?' Richard agreed, adding that 'there's a fine line between offering supportive tools and creating false assurances. If the system doesn't know when to escalate — or assumes cultural universality — it's not just ineffective. It's dangerous.' Wang also emphasized that engagement shouldn't be the metric of success. 'The goal isn't constant use,' she said. 'It's building resilience strong enough that people can eventually stand on their own.' She added that the true economics of AI in mental health don't come from engagement stats. Rather, she said, the show up later — in the price we pay for shallow interactions, missed signals and tools that mimic care without ever delivering it. The Bottom Line Back in that quiet moment when Caswell consulted ChatGPT during a panic attack, the AI didn't falter. It guided her through that moment like a human therapist would. However, it also didn't diagnose, treat, or follow up. It helped someone get through the night — and that matters. But as these tools become part of the infrastructure of care, the bar has to be higher. As Caswell noted, 'although AI can be used by therapists to seek out diagnostic or therapeutic suggestions for their patients, providers must be mindful of not revealing protected health information due to HIPAA requirements.' That's especially because scaling empathy isn't just a UX challenge. It's a test of whether AI can truly understand — not just mimic — the emotional complexity of being human. For companies investing in the future of well-being, the question isn't just whether AI can soothe a moment of crisis, but whether it can do so responsibly, repeatedly and at scale. 'That's where the next wave of mental health innovation will be judged,' Wang said. 'Not on simulations of empathy, but on real and measurable human outcomes.'

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