WHY AI INFRASTRUCTURE STARTUPS ARE INSANELY HARD TO BUILD

Summary from the TLDR Web Dev newsletter

Building venture-scale AI infrastructure startups is extremely difficult because startups lack the differentiation and capital needed to compete with established players like GCP, AWS, Vercel, Databricks, and Datadog, who are all striving to create end-to-end AI platforms. The open-source community quickly replicates any promising innovations, further eroding the competitive advantage of startups. To survive, startups must either focus on a very narrow niche, raise substantial VC funding, or remain bootstrapped.