To The Moon

I think infrastructure offers the clearer opportunity today, but software may ultimately capture more value. AI infrastructure benefits first because every model and application needs compute, memory, networking, power and data centres. Demand is tangible and spending is already enormous. But infrastructure is capital-intensive and eventually risks overcapacity and commoditisation. Software has the opposite challenge: competition is intense today, yet successful applications can scale with much lower marginal costs and become deeply embedded in business workflows. My preference would be infrastructure while AI capex remains strong, then gradually shift attention towards software companies that demonstrate genuine pricing power, recurring revenue and measurable productivity gains. The next

think infrastructure has the advantage in the near term, as AI needs computing power, energy and data centres to scale. However, software could offer greater long-term growth as businesses turn AI capabilities into real productivity and revenue. The biggest winners may be companies that can turn heavy AI investment into sustainable profits, rather than simply ride the hype.

I believe AI applications could capture the next wave of value, while infrastructure remains essential. Chips provide computing power, but software turns that power into measurable business results. Palantir stands out by connecting proprietary data, security, and operational decisions. Once embedded in critical workflows, its software may become difficult to replace. However, competition and implementation costs remain risks. My biggest concern is valuation. A great company is not automatically a great investment. Even strong growth cannot guarantee attractive returns if investors pay too much upfront. I'd focus on commercial revenue growth, customer expansion, and free cash flow rather than analyst price targets. Ultimately, infrastructure enables the AI revolution, but applications mon

I am not surprised by Goldman Sachs upgrading $Palantir Technologies Inc.(PLTR)$ to Buy with a reported $230 price target. I believe Palantir is well positioned to benefit as businesses increasingly integrate AI into real-world operations through its AIP platform. I already own PLTR and remain bullish on its long-term potential. Its ability to turn complex data into actionable insights gives it an edge in enterprise AI. However, I remain mindful of its premium valuation and the risks of high market expectations. My strategy is to HOLD patiently and look for opportunities to accumulate more shares during meaningful pullbacks. I believe in Palantir’s growth story, but discipline and valuation awareness remain essential. Conviction is important, but

$Goldman Sachs(GS)$ has upgraded $Palantir Technologies Inc.(PLTR)$ from Neutral to Buy, setting a reported $230 price target as it sees further growth potential in the company's AI business. The upgrade, attributed to Goldman analyst Gabriela Borges, highlights two potential growth drivers: sovereign AI and customized enterprise applications. But this isn't just another AI stock upgrade. It raises a bigger question for investors: As the AI boom expands beyond chips and data centers, which companies will capture the value of putting AI to work? 🚀 1. Beyond AI Chips: Where Could the Next Wave of Value Come From? So far, much of the AI investment story has centered on the infra

$Goldman Sachs(GS)$ has upgraded $Palantir Technologies Inc.(PLTR)$ from Neutral to Buy, setting a reported $230 price target as it sees further growth potential in the company's AI business. The upgrade, attributed to Goldman analyst Gabriela Borges, highlights two potential growth drivers: sovereign AI and customized enterprise applications. But this isn't just another AI stock upgrade. It raises a bigger question for investors: As the AI boom expands beyond chips and data centers, which companies will capture the value of putting AI to work? 🚀 1. Beyond AI Chips: Where Could the Next Wave of Value Come From? So far, much of the AI investment story has centered on the infra

I think infrastructure offers the clearer opportunity today, but software may ultimately capture more value. AI infrastructure benefits first because every model and application needs compute, memory, networking, power and data centres. Demand is tangible and spending is already enormous. But infrastructure is capital-intensive and eventually risks overcapacity and commoditisation. Software has the opposite challenge: competition is intense today, yet successful applications can scale with much lower marginal costs and become deeply embedded in business workflows. My preference would be infrastructure while AI capex remains strong, then gradually shift attention towards software companies that demonstrate genuine pricing power, recurring revenue and measurable productivity gains. The next

I believe AI applications could capture the next wave of value, while infrastructure remains essential. Chips provide computing power, but software turns that power into measurable business results. Palantir stands out by connecting proprietary data, security, and operational decisions. Once embedded in critical workflows, its software may become difficult to replace. However, competition and implementation costs remain risks. My biggest concern is valuation. A great company is not automatically a great investment. Even strong growth cannot guarantee attractive returns if investors pay too much upfront. I'd focus on commercial revenue growth, customer expansion, and free cash flow rather than analyst price targets. Ultimately, infrastructure enables the AI revolution, but applications mon

I am not surprised by Goldman Sachs upgrading $Palantir Technologies Inc.(PLTR)$ to Buy with a reported $230 price target. I believe Palantir is well positioned to benefit as businesses increasingly integrate AI into real-world operations through its AIP platform. I already own PLTR and remain bullish on its long-term potential. Its ability to turn complex data into actionable insights gives it an edge in enterprise AI. However, I remain mindful of its premium valuation and the risks of high market expectations. My strategy is to HOLD patiently and look for opportunities to accumulate more shares during meaningful pullbacks. I believe in Palantir’s growth story, but discipline and valuation awareness remain essential. Conviction is important, but

think infrastructure has the advantage in the near term, as AI needs computing power, energy and data centres to scale. However, software could offer greater long-term growth as businesses turn AI capabilities into real productivity and revenue. The biggest winners may be companies that can turn heavy AI investment into sustainable profits, rather than simply ride the hype.