By the mid to late 80s, we still felt overshadowed by IBM, which was the dominant force in the computing industry at that time.

IBM, which invented virtualization in the 1960s, had x86 servers that were struggling to sell due to a lack of demand for large workloads.

The 1970s were a dynamic time for innovation, with many early computer companies emerging, but today, it's more challenging for new startups to gain traction without unique insights that existing companies overlook.

Many industries, including aerospace and semiconductors, are still using outdated software, presenting a significant opportunity for modernization.

The disc drive manufacturing industry in the 1980s improved significantly, benefiting consumers, but the innovators did not profit from these advancements.

When we said we wanted a computer on every desk and in every home, people thought we were out of touch, but technology was advancing rapidly.

The advent of AI represents a significant technological paradigm shift, comparable to the invention of the microprocessor, which will lead to the rebuilding of many industries.

The first problem with our approach to building large-scale computers is that Moore's Law is ending, which has been happening for a long time.

To adapt to AI, companies must re-engineer their processes, as seen in the shift from fax communications to email and spreadsheets, which revolutionized forecasting and operational efficiency.