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Salesforce Stock Jumps More Than 4% Friday, Attempting a Rebound From One of Its Worst Years on Record

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Caterpillar Stock Drops Nearly 5% Friday as Investors Take Profits

Shares of Salesforce climbed Friday, rising 4.47%, or $6.72, to $156.91 in midday trading, offering a rare bright spot for a stock that has spent much of 2026 mired in one of the steepest declines of any major technology company this year.

Even with Friday’s gain, the cloud software giant remains deep in negative territory for the year, trading well below where it started 2026 and not far from its 52-week low.

A brutal year by any measure

The scale of Salesforce’s decline this year has been striking for a company long considered one of enterprise software’s bluest of blue chips. The stock has declined approximately 42% year-to-date, a drop that has prompted growing comparisons to peers like Palantir as investors reassess what a fair valuation looks like for the customer relationship management pioneer.

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That slide has pushed shares down to levels not seen in years. As of this week, Salesforce was trading within a 52-week range spanning from $146.32 to $276.80 — meaning Friday’s bounce, however welcome for shareholders, still leaves the stock closer to its yearly low than its high.

Investor fears about AI disruption

Much of the pressure on Salesforce’s stock this year has stemmed from a broader anxiety gripping software investors: the worry that artificial intelligence tools could erode the value of traditional enterprise software platforms like Salesforce’s customer relationship management suite. That concern has weighed heavily on sentiment even as the company has continued posting solid financial results.

Salesforce’s most recent quarterly report illustrated that tension directly. The company posted $11.13 billion in revenue, a 13% year-over-year increase that beat Wall Street’s expectations, alongside adjusted earnings per share of $3.88 against a consensus estimate of $3.12. Despite that earnings beat, the company’s full-year guidance came in slightly below Wall Street expectations, with management citing continuing challenges in marketing and commerce, weaker performance in Tableau bookings, and higher license revenue volatility following its Informatica acquisition.

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A wave of capital returned to shareholders

In an effort to support the stock amid the AI-related anxiety, Salesforce has leaned heavily on shareholder returns this year. The company returned $27.5 billion to shareholders, including $27.1 billion through share repurchases, and entered into a $25 billion accelerated share repurchase agreement — among the largest capital return programs of any major software company this year.

That aggressive buyback strategy has been paired with continued investment in the company’s own AI offerings. Salesforce’s Agentforce platform, which the company markets as enabling customers to build, deploy and manage autonomous AI agents at scale, has become the centerpiece of its pitch to investors that the company is positioned to benefit from AI adoption rather than be disrupted by it.

A security backdrop adding pressure

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Beyond the AI competition narrative, Salesforce has also spent much of the past year contending with the fallout from a wave of data theft incidents tied to its platform and third-party integrations. Multiple lawsuits have been filed against the company in Northern California, where it is headquartered, alleging that personal information stolen in various breaches has exposed affected individuals to risks of identity theft. Salesforce has consistently maintained that its core platform itself was not compromised, attributing the incidents instead to credential theft and malicious third-party connected applications.

That security overhang has continued to surface in recent weeks alongside the company’s ongoing AI expansion efforts, including new Agentforce deployments with public-sector customers such as the U.S. Department of Labor — a juxtaposition that has kept questions about data governance in the conversation even as Salesforce pushes deeper into autonomous AI tools.

A notable acquisition to bolster AI capabilities

Salesforce has also been actively acquiring companies to strengthen its AI positioning. Earlier this month, the company agreed to acquire Fin, a developer of artificial-intelligence-powered customer service agents, in a deal valued at roughly $3.6 billion. Analysts have generally framed the acquisition as a move to accelerate AI adoption across Salesforce’s existing customer base, even as some have raised questions about the price paid relative to the target’s current revenue scale.

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A wide gap between Wall Street and the market

Despite the stock’s punishing decline this year, Wall Street analysts have remained largely unmoved in their underlying optimism about Salesforce’s longer-term prospects — creating an unusually wide gap between where the stock trades and where analysts believe it should be. According to one tracking service, 49 analysts carry an average “Buy” rating on the stock, with a 12-month price target of $251.53 — implying upside of more than 60% from recent trading levels even before Friday’s gain. A separate analysis of 64 Wall Street analysts similarly found a bullish consensus, with a median price target of $255.00 implying nearly 37% upside, supported by 38 Buy ratings against just one Sell rating.

Not every analyst has stayed unconditionally bullish through the stock’s decline, however. Jefferies analyst Brent Thill recently cautioned that an earlier rebound attempt in Salesforce shares looked more like “a dead cat bounce, not the beginning of a trend,” reflecting skepticism among at least some on Wall Street about whether the stock’s troubles are truly behind it.

What investors are watching next

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For now, Friday’s gain offers Salesforce shareholders a reprieve after a difficult stretch, even as the broader debate over the stock’s value continues. Whether the move represents the start of a more durable recovery or simply another temporary bounce within an extended downtrend will likely hinge on continued evidence that Agentforce and the company’s other AI investments are translating into accelerating subscription growth, rather than simply offsetting the pressures investors have spent much of 2026 worrying about.

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Thailand’s Pay Like a Local Initiative Boosts Cross-Border QR Payments for Tourists

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Thailand's Pay Like a Local Initiative Boosts Cross-Border QR Payments for Tourists

The Tourism Authority of Thailand highlights the “Pay Like a Local” initiative, enhancing cross-border QR payments for tourists. This collaboration involves banks and payment partners, promoting convenience for international visitors.

Introduction to “Pay Like a Local”

Bangkok, 26 June 2026 – The Tourism Authority of Thailand (TAT) is emphasizing the country’s readiness for Cross-Border QR Payment in tourism under the “Pay Like a Local” initiative. This program aims to integrate merchant adoption with traveler awareness, facilitating digital payments for international visitors and presenting new opportunities for Thai businesses. It is a collaborative effort led by the Bank of Thailand, featuring eight notable banks and payment partners such as Alipay and WeChat Pay. The goal is to enhance the ease of QR payments at key tourist attractions across Thailand, with a focus on East Asian markets.

Enhancing the Tourism Experience

Mrs. Sirigesanong Trirattanasongpol, TAT Executive Director for the East Asia Region, highlighted the significance of adapting to changing traveler behavior in regions where mobile payments are prevalent. The Cross-Border QR Payment system is crucial for improving the visitor experience, allowing travelers to use familiar payment methods seamlessly. The initiative supports users from numerous countries, including China and South Korea, reducing cash reliance while providing secure transactions. It positions Thailand as a modern global destination catering to digital-savvy tourists.

Engaging Merchants and Expanding Services

To introduce this initiative effectively, a Merchant Activation Roadshow is underway at Asiatique The Riverfront in Bangkok. This event engages local businesses in embracing QR payments, offering insights, consultations, and registration opportunities. Participating merchants can benefit from promotions and learn about system integration. This follows a successful pilot in Udon Thani aimed at preparing local operators for an expected influx of Chinese tourists. TAT continues to promote broader adoption, aligning with Thailand’s vision of a cutting-edge tourism industry.

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Nobel Prize-winning economist says AI jobs fears will produce negative outcomes

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Nobel Prize-winning economist says AI jobs fears will produce negative outcomes

A Nobel Prize-winning economist has warned that persistent predictions of artificial intelligence destroying the job market could become a self-fulfilling prophecy.

Robert Shiller, who shared the 2013 Nobel Prize in economics for his work on asset prices, wrote a guest essay on Monday in The New York Times that argued the panic over AI is not a new sociological phenomenon.

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In fact, he wrote, humans have been worried that new technology could replace them since the days of Aristotle, who envisioned a self-powered loom and a lyre that could play music without someone plucking the strings.

And in the 19th century, a group of English textile workers — who later became known as Luddites — intentionally destroyed machines they believed would put them out of a job.

ROBERT SHILLER: PEOPLE AREN’T AS IMPRESSED BY HOMES ANYMORE

Robert Shiller wins Nobel Prize

Professor Robert J. Shiller wins Nobel Prize in economic sciences during an awards ceremony on Dec. 10, 2013, in Stockholm, Sweden. (Pascal Le Segretain / Getty Images)

Shiller fears that similar anxieties inherent within us are rearing their head once again.

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He cited a Quinnipiac poll from March, which found that 70% of people believe AI will reduce the number of jobs. Additionally, only 16% of Americans believe AI will have a positive impact on society over the next two decades, according to a Pew Research survey conducted in June.

“Like many others, I believe AI could lower employment. But unlike most, I don’t necessarily blame the technology itself. Instead, I worry about the potency of the fear it is generating,” Shiller wrote.

“Our brains are wired to respond to stories. Narratives floating in a population can affect individuals’ economic decisions,” he continued. “When millions of people make millions and millions of decisions based upon negative expectations, there is a risk that fear can actually help birth the reality.”

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Robert Shiller attends Forbes 30 under 30 event

Robert Shiller attends the 2019 Forbes 30 Under 30 Summit at Detroit Masonic Temple on Oct. 29, 2019, in Detroit, Michigan. (Taylor Hill / Getty Images)

Much of the negative media coverage around AI centers on speculation over how much it will impact jobs and the economy.

In late May, Anthropic CEO Dario Amodei told Axios that in the next one to five years, AI could eliminate half of all entry-level white-collar jobs and spike unemployment to as much as 20%. He later expressed uncertainty over the exact timeline.

The current unemployment rate is 4.3%, up from 4% at the beginning of President Donald Trump’s term in January 2025.

AI IS TOP REASON FOR US JOB CUTS FOR THIRD STRAIGHT MONTH

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“While the job market has slowed for a host of reasons, there are reports that fear of an AI apocalypse is worsening the freeze and contributing to record lows in consumer sentiment,” Shiller argued.

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A CloudHQ data center in Ashburn, Virginia, on May 31, 2026. (Lexi Critchett/Bloomberg / Getty Images)

Shiller implied that tech leaders like Amodei, who promote doom-and-gloom scenarios their own companies could help realize, are being somewhat short-sighted and should be reined in to prevent an economic recession.

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“Perhaps the best we can do is to appeal directly to the leaders of Silicon Valley who have been promoting these negative narratives with such vigor,” Shiller wrote. 

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He continued: “Surely the resulting media attention highlighting how dangerously powerful your AI model is may help you sell more wares, but it may be far harder to do so in a period of recession. Try not to forget the critical lessons taught by our past.”

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