The conclusion says:<p>“what really matters is having better data than the competition. Maintaining a competitive advantage is hard, especially if you encounter a competitor who is richer than you, which is very likely to happen if your AI idea takes off. You should aim to create a scalable data collection process which is hard to reproduce by your competition. AI is well suited to disrupt industries which rely on the cognitive work of low qualified humans, as it allows to automate this work.”<p>In essence, this seems to point to two things: (1) ‘garbage in, garbage out’. And (2) the idea of building a moat around “a scalable data collection process”, which is how some of the big tech companies got started.