I feel like with building computers, the hardest part was building the technology. When it comes to AI, the hardest part seems to be building the surrounding infrastructure: getting hardware to run it, data to train it on, and hardware to store the data. There are some startups working on data collection and compute markets, but until those are polished there's a barrier keeping smaller teams from moving fast and making things.