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 defensive moat


Big Data Quotes of the Week - Nov. 6, 2020

#artificialintelligence

Your Home Is Your Castle; Don't Forget The Moat In this week's lead quote, a16z's Casado and Martin claim diminishing returns to scale for more data. This is a bold proposition because it undermines a key argument for many data programs: that more data creates a defensive moat to protect the enterprise. Certainly, all organizations in competitive markets want to create defensive moats, and data can help. But it has to be done the right way. The right way to build a viable data-based defensive moat is specific data, not more data.


The New Business of AI (and How It's Different From Traditional Software)

#artificialintelligence

At a technical level, artificial intelligence seems to be the future of software. AI is showing remarkable progress on a range of difficult computer science problems, and the job of software developers – who now work with data as much as source code – is changing fundamentally in the process. Many AI companies (and investors) are betting that this relationship will extend beyond just technology – that AI businesses will resemble traditional software companies as well. Based on our experience working with AI companies, we're not so sure. We are huge believers in the power of AI to transform business: We've put our money behind that thesis, and we will continue to invest heavily in both applied AI companies and AI infrastructure. However, we have noticed in many cases that AI companies simply don't have the same economic construction as software businesses. At times, they can even look more like traditional services companies. Anecdotally, we have seen a surprisingly consistent pattern in the financial data of AI companies, with gross margins often in the 50-60% range – well below the 60-80% benchmark for comparable SaaS businesses.


Why AI companies don't always scale like traditional software startups

#artificialintelligence

At a technical level, artificial intelligence seems to be the future of software. AI is showing remarkable progress on a range of difficult computer science problems, and the job of software developers – who now work with data as much as source code – is changing fundamentally in the process. Many AI companies (and investors) are betting that this relationship will extend beyond just technology – that AI businesses will resemble traditional software companies as well. Based on our experience working with AI companies, we're not so sure. We are huge believers in the power of AI to transform business: We've put our money behind that thesis, and we will continue to invest heavily in both applied AI companies and AI infrastructure. However, we have noticed in many cases that AI companies simply don't have the same economic construction as software businesses. At times, they can even look more like traditional services companies.