What are the most and least promising categories to invest in, within 'everyday' companies people interact with?

A strong consensus among analysts points to infrastructure as the most promising investment category, particularly the "picks and shovels" that enable the AI and technology sectors [1, 2, 22]. This includes AI-specific infrastructure companies providing foundational tools , AI verification systems , and ventures building proprietary, high-quality datasets from the physical world, which are seen as a key defensible moat . The thesis extends to critical infrastructure sectors like logistics and aviation , as well as defense and AI-related infrastructure, which are noted as the fastest-growing investment areas for major firms . Within the public technology markets, a clear hierarchy of preference has emerged, with a recommendation to favor **semiconductors over hardware, and hardware over software** . This focus on foundational layers is driven by the belief that they are less likely to be commoditized by rapidly evolving AI models and are often acquisition targets for major technology firms [1, 2].

The outlook for software is more complex, defined by a significant capital rotation out of traditional software-as-a-service (SaaS) and into the AI infrastructure layer [9, 19]. While AI applications have shown unprecedented growth, their long-term endurance is questionable due to weak competitive moats, creating a dynamic where a market leader could see its revenue halved by a new competitor [16, 20]. This challenging environment is reflected in the public markets, where **fewer than five** software, consumer, and fintech companies are currently growing at 30% or more . However, the disruption of incumbent SaaS may be overestimated; firms with deep enterprise integrations or those that own a direct user relationship or a critical system of record are considered more defensible. The key for investors is to scrutinize software companies for their adaptability to new paradigms like agent-centric computing and their ability to integrate AI effectively, as established players may be trading at historically low multiples .

Conversely, consumer-facing companies and speculative technology ventures appear to be the least promising categories. Major consumer brands like Walmart, Target, and Starbucks are showing signs of weakness, indicating that the average consumer is struggling financially . While one expert believes consumer internet companies are undervalued , the broader sentiment is cautious. A disciplined investment strategy avoids pre-revenue companies and speculative laggards, which have seen stock values **collapse over 90%** in some cases . Instead, the focus should be on established market leaders with proven business models and minimum revenue thresholds of at least $10 million [7, 29]. This "winner-take-most" dynamic is particularly acute in sectors like defense tech [4, 5] and is reflected in the broader private markets, where the IPO window is expected to be open for only a handful of mega-cap companies like SpaceX and OpenAI [6, 28].