Artificial Intelligence

Space was always supposed to be the final frontier of human exploration. It’s shaping up to be the final frontier for artificial intelligence too.

What organized labor's response reveals about project economics, AI infrastructure investment, and the next phase of the data center buildout

Success is not determined by model intelligence but integration support

Forward Deployed Engineering is built around a simple idea: AI creates value only when it changes how work actually gets done.

Artificial intelligence is creating new opportunities for software companies across the AI supply chain, but it’s also making innovation more expensive.

Across industries, a new behavior is emerging inside boardrooms and operating teams: “tokenmaxxing.” The term captures a growing tendency for businesses to aggressively deploy AI tools—not because they are strategically aligned, but because they signal modernity, efficiency, and innovation.

The United States installed 34,200 industrial robots in 2024-9% lower than 2023. In the meantime, China increased new installations by 7% and now has 2 million+ robots in operation, more than the next four countries combined.

When China lined up a troupe of humanoid robots to dance in front of the German Chancellor earlier this year, a lot of people saw an impressive display of the nation’s technological prowess — but I saw something else. I’m from Texas. I know bragging when I see it.

In our conversations across dozens of industries – with PE firms, CEOs, and accounting firm managing partners alike – a consistent set of questions keeps surfacing.

While Gen Z might have a stigma against them in the workplace and employers are already firing them in droves, business experts are warning companies not to let go of their younger employees just yet.