"The most important question is how much value the underlying platform will keep for itself. History has shown that most platforms extract the bulk of the value for themselves, leaving only crumbs for the companies and developers building on top of the platform."

"However, there is a good chance that several companies will offer similar AI platforms…in the same way that cloud computing is divided up between AWS (Amazon), Azure (Microsoft) and GCP (Google)."

"OpenAI (with Microsoft as a partner), Google and Facebook are leading contenders to play an important role."

"Competition between these three companies (and potentially more) should limit a single company’s potential to maximize profits at the expense of companies building on top."

"The second question is who will capture most of the new value being generated: incumbents or start-ups?"

"They’ll leverage their unique data sets, large user bases and balance sheets to get an edge, especially on the consumer side."

"But it might be a different story when it comes to enterprise software as there’s an opening for start-ups to create more value for their customers with vertical-specific AI products."

"By designing interaction models where false positives and false negatives don’t cause high friction or risk (e.g. by making it easy to bring a human into the loop)."

"By inserting proprietary data into the LLMs. Differentiating with unique data (original datasets, as well as data from feedback loops) is brought up most frequently as a key strategy."

"And by addressing regulatory/privacy constraints. This is particularly important for companies to protect their brands."