Investment in artificial intelligence (AI) has been steadily increasing over the past few years, with companies across various industries recognizing the potential benefits it can bring. The global AI market is expected to grow from $10.1 billion in 2018 to
Artificial intelligence does not end with a model generating text, an application automating a workflow, or a software platform improving productivity. The final test is whether intelligence can reliably operate in the physical world. This is the subject of the
Artificial intelligence is not a single product category. It is a layered economic system in which each layer depends on the infrastructure beneath it. As outlined in the anchor post for this eight-part series, the chain progresses from physical resources
Artificial intelligence is often discussed through the companies that design chips or develop software. Those businesses matter, but neither layer can create economic value without the infrastructure that connects them. This is Post 5 in our eight-part AI investment series,
Artificial intelligence is often discussed as a software or semiconductor investment theme. That framing misses a critical layer of the economic value chain: the physical infrastructure required to make AI usable at scale. This is Post 3 of InSight Financial
Artificial intelligence does not run on software alone. Every model, application, and digital service depends on physical infrastructure, and every data center depends first on reliable electricity. This article is the second post in our eight-part AI investment series. The
Artificial intelligence is often discussed through the stocks that design chips, build models, or operate software platforms. That view is incomplete. AI is a massive economic value chain. Every layer depends on the layers beneath it: Raw Materials → Power
Artificial intelligence is often presented as a narrow investment theme centered on semiconductor companies, cloud platforms, and software developers. That view is incomplete. AI is a physical and economic system. It requires minerals, electricity, transmission capacity, buildings, cooling equipment, chips,
As the Internal Revenue Service (IRS) continues its aggressive modernization efforts, the integration of Artificial Intelligence (AI) and advanced machine-learning algorithms has fundamentally shifted the landscape of tax compliance for high-net-worth (HNW) individuals and families. While the agency positions these
