Investment Insights and Trends

The largest opportunity AI unlocks isn’t better software. It’s the multi-trillion-dollar services economy. For every $1 enterprises spend on software, they spend roughly $6 on people and services to get the job done.¹ AI-native services can compete for that spend with a fundamentally different model: each outcome can generate revenue while requiring progressively less human labor, improving future performance, and unlocking more work to own.

For decades, the field of biological aging has increasingly refined taxonomies of what changes as organisms grow older. The most widely accepted framework — the hallmarks of aging — reasonably describes twelve interconnected processes: genomic instability, telomere attrition, epigenetic alterations, mitochondrial dysfunction, loss of proteostasis, impaired macroautophagy, deregulated nutrient sensing, stem cell exhaustion, cellular senescence, altered intercellular communication, microbiome disturbance, and chronic inflammation.

The Good Part, First AI agents have gotten surprisingly useful, surprisingly fast. A task that used to eat up half a day such as working through a long report, cleaning up a spreadsheet, catching up on an inbox, can now take 20 minutes.

In our first two posts, we mapped the architecture of an AI agent and the tools it reaches for once it decides to act. Both posts shared an assumption we never fully unpacked: that a model is sitting somewhere, ready to think, the instant it’s called. That assumption is a business in itself, and it’s worth being precise about a few terms before we go further.

Artificial intelligence is moving beyond our screens and onto our bodies, with a new generation of wearable devices that can track everything from sleep and hormones to focus, memory, and daily conversations. These technologies promise highly personalized insights that can improve health, productivity, and decision-making, while also raising important questions about privacy, trust, and data ownership. In this article, I share my firsthand experience living with six AI wearables — and what they reveal about the future of human-computer interaction.

Over the past decade, Ukraine has quietly emerged as a global force in technology, producing world-class engineers, scaling deep-tech innovations, and launching startups that are reshaping industries. Even amid the devastating backdrop of war, the country’s startup ecosystem has not only adapted but accelerated. From defense tech and AI to fintech and cybersecurity, Ukrainian founders are expanding globally, raising capital, and building the next generation of high-impact technology companies.

Deal or no deal, diplomacy alone doesn’t fix the broken supply chain. Ships move slowly, and a barrel of crude oil is a whole lot more than gas at the pump — it’s the feedstock for everything from plastics to asphalt

Anthropic, the company building Claude and currently valued at roughly $1 trillion on private secondary markets, just posted a job for an Events Lead, Brand. Salary range: $320,000 to $400,000. They have 10 more event roles open behind it.

Explore how modern defense manufacturing is facing a hidden crisis: the rapid retirement of skilled workers whose tacit, experience-based knowledge cannot be easily replaced or documented. Using historical examples like Roman concrete and Stradivarius violins, it shows how civilizations repeatedly lose critical know-how when it is not formally captured. It argues that the only durable solution is full-stack manufacturing systems that embed data collection on the factory floor, turning human expertise into lasting, machine-learnable intelligence before it disappears.

Deep tech is rapidly transforming venture capital landscape, growing from a niche category into one of the dominant forces shaping global investment. Fueled by breakthroughs in AI, robotics, defense, energy, semiconductors, and advanced manufacturing, investors are increasingly backing companies solving large-scale real-world problems with science and engineering at their core. This report explores the data behind deep tech’s accelerating rise, the market forces driving demand, and why many believe the next decade of venture capital will be defined by deep technology.

Most investors focus on public markets, but today’s biggest companies are staying private longer than ever before. Using the anticipated SpaceX IPO as a case study, this article explores how wealth creation has shifted across public equities, late-stage private companies, and venture capital — and why understanding all three markets may be essential for long-term investors.

The enterprise software industry is entering a major transition as AI reshapes how businesses buy, use, and value software. Traditional seat-based SaaS models are increasingly giving way to AI-native platforms that automate workflows, deliver measurable outcomes, and fundamentally change the economics of enterprise technology. This analysis explores what parts of SaaS are being disrupted, what remains durable, and where the next generation of software value creation is likely to emerge.