Reports point to strong AI growth in chips, data centers, and funding

In short: Early 2026 reporting suggests the fastest AI growth is in infrastructure like chips and data centers and in large funding rounds, not in digital image software or payment services.

What's going on

Some summaries circulating this year claim that companies in digital image software and payment services are “delivering strong growth.” But when looking at recent AI sector reports, the public data being highlighted is mostly elsewhere.

Several reports from early 2026 point to heavy growth in the building blocks that power AI. Think of these as the picks and shovels. They include computer memory and chips, plus the networking gear that helps data centers move data around quickly.

Funding is also a major theme. By mid-February 2026, 17 US-based AI startups had raised rounds of $100 million or more, including three rounds above $1 billion, according to one roundup. Market reports also listed strong recent stock gains for firms tied to AI hardware, including Micron Technology, Applied Materials, and Teradyne.

Another area getting attention is photonics and optical networking, which is equipment that sends data using light (like swapping copper wires for very fast light pipes). Some lesser-known firms in this category were reported as rising sharply over the past year due to demand from AI data centers.

What to watch

The next question is whether this spending shifts from the “plumbing” of AI to everyday software people directly use, such as tools for images or payments. If companies keep buying more data center capacity in 2026, more AI features could trickle into consumer and business apps, even if those categories are not the main focus of current growth reporting.

Source: Financial Times