Palantir Technologies delivered another blockbuster quarter on Monday, strengthening its position as one of the biggest corporate beneficiaries of the artificial intelligence boom as Chief Executive Alex Karp said that the company’s explosive growth is proving that AI can fundamentally reshape how software companies operate.

The data analytics and AI software company reported second-quarter results that comfortably exceeded Wall Street expectations, driven by surging demand from businesses seeking to deploy AI while keeping sensitive corporate data inside their own environments rather than relying entirely on frontier AI providers.

Palantir reported revenue of $1.94 billion, up 93% from about $1 billion a year earlier and ahead of analysts’ expectations of $1.8 billion, according to LSEG. Net profit reached $1.1 billion, meaning the company earned more in quarterly profit than it generated in total revenue during the same period last year.

The strongest growth came from its U.S. commercial business, which generated a record $764 million in revenue, soaring 149% year over year and 28% from the previous quarter alone. Government revenue climbed 90% to $809 million, while total U.S. revenue rose 115% to $1.6 billion.

The results prompted Palantir to raise its full-year outlook, with the company forecasting revenue of between $8.15 billion and $8.158 billion and commercial revenue exceeding $3.424 billion. Shares rose more than 16% in premarket trading following the earnings release.

For investors, the report provides further evidence that enterprise AI spending remains robust even as markets increasingly question whether massive investments in artificial intelligence infrastructure will generate sustainable returns.

Unlike chipmakers and cloud providers that depend on continued AI capital expenditure, Palantir sits further down the value chain, helping governments and businesses integrate AI models into existing operations while maintaining control over proprietary data. That positioning has differentiated the company as enterprises become more cautious about exposing sensitive information to third-party AI providers.

Karp used the quarterly shareholder letter to note that Palantir’s growth defies traditional software industry assumptions.

“On a quarter-by-quarter basis, our US commercial business grew 28%. Such growth indeed, such acceleration gives the impression that what others might require a year or even longer to achieve, we can do in 90 days,” he wrote.

He also highlighted what he described as one of the company’s most unconventional advantages.

“It must be noted that we have achieved these results with a minuscule and shrinking sales head count, another way in which we have discarded conventional wisdom in favor of our own, unique path,” he said.

The remarks support Karp’s long-held view that AI is changing not only customer products but also how technology companies themselves are organized.

Earlier this year, Karp said Palantir employed roughly 70 salespeople, adding that only seven were responsible for most direct sales activity.

“What a comparable company would need 7,000 people to do,” he said in May, “seven” people at Palantir were accomplishing.

Silicon Valley companies are now embracing so-called “tiny teams” that use AI to automate work traditionally performed by much larger human workforces. Rather than expanding headcount alongside revenue, many AI-first companies are attempting to scale through software agents and automation, allowing smaller teams to manage engineering, customer support, coding, sales and administrative tasks.

Palantir’s own workforce strategy, however, has evolved.

Karp told CNBC in 2025 that he hoped to grow the business tenfold while reducing employee numbers to roughly 3,600. Instead, the company’s latest annual report showed it employed 4,429 full-time workers, a 13% increase from the previous year.

Karp has also rejected the idea that AI should primarily be viewed as a tool for eliminating jobs. Speaking on the technology program TBPN in June, he criticized executives who celebrate AI mainly for reducing staffing levels.

Executives who boast that AI allows them to fire much of their workforce, he said, might as well sign up for “the Bernie Sanders manifesto.” Instead, Palantir says that AI should increase productivity while enabling companies to tackle complex work rather than simply replacing employees.

Many corporations remain reluctant to place sensitive intellectual property, financial information, or customer data inside externally hosted frontier AI models because of security, regulatory, and confidentiality concerns.

Palantir has positioned itself as an alternative by allowing organizations to deploy AI models within secure environments while retaining control over proprietary data and existing software infrastructure. That focus on what the company calls “AI sovereignty” has become one of its strongest competitive advantages as businesses seek to adopt generative AI without exposing strategic information to external model developers.

The strategy appears to be resonating with investors.

Analysts at Citi said the latest results further undermine the bearish argument that intensifying competition in artificial intelligence would erode Palantir’s growth prospects.

“The results further weaken the bear case around rising AI competition,” the analysts wrote, arguing that demand for secure enterprise AI continues to differentiate Palantir from companies focused primarily on developing large language models.

They added that the results reinforce “Palantir’s position as one of the clearest beneficiaries of enterprise AI adoption, with accelerating commercial demand demonstrating the company is benefitting from similar demand as the fastest AI natives on the market.”

“We expect shares up meaningfully given the significant snapback in U.S. Commercial performance, which pushes back against slowing growth,” Citi said.

The quarter also underpins an important divide within the AI industry. While companies such as OpenAI, Google, Anthropic and Meta compete to build ever more capable frontier models, Palantir is benefiting from enterprises that want those capabilities without surrendering control of their data.

As corporate AI adoption moves beyond experimentation toward large-scale deployment, investors are rewarding companies that solve practical implementation challenges rather than simply building larger models.

Palantir’s latest results suggest that the next phase of the AI boom may be driven not only by advances in model performance, but also by the software platforms that allow businesses to deploy artificial intelligence securely and integrate it into existing operations.