In this episode of the Tech Strategy podcast, Jeff Towson discusses the future of generative AI and how OpenAI and Google are likely to have moats in this technology. He explains how these companies are using their vast amounts of data to train their models and how this will make it difficult for competitors to catch up. Towson also talks about the potential applications of generative AI and how it could change the way we live and work.
I did a podcast about how “Generative AI as a Service” is disrupting some particularly dominant platform business models. I mentioned YouTube, TikTok and OnlyFans. But we can also point to search engines, community sites and many others. How Generative AI Is Going to Disrupt YouTube, TikTok and OnlyFans (Tech Strategy – Podcast 152) The […]
Baidu, China’s leading search engine, is a “learning platform” that becomes smarter with increased user activity. Founded by Robin Li in 2000, it was designed to cater to search users, webpages, and advertisers. Baidu, like other learning platforms, can serve both human and digital agents, enhancing their service based on the overall and individual user activity.
This discussion centers on the innovative digital business models developed by Walgreens and Ping An Good Doctor in the healthcare sector. These industry leaders have embraced digital transformation to establish new, compelling business models, each unique in its approach. The analysis will delve into three key areas: the economies of scale and scope, digital superpowers that lend competitive advantage, and the role of AI as a capability and potential learning platform.
Ping An is the quiet digital giant of China. It began as an insurance company. Then it added a wealth management company. Then it added a bank. And now it is focusing on healthcare. And, along the way, it became a full tech company. It’s right up there with Alibaba, ByteDance and the others. I […]
In this podcast, Jeffrey Towson discusses two big questions about the business models of AI software companies: What are the unit economics of large AI companies? What types of scale advantages and network effects do large AI companies have? He argues that AI software companies are still in the early stages of development, and that the answers to these questions will depend on how the market for AI software evolves in the years to come.
I recently wrote about Baidu as an example of learning platforms (one of my five platform types). Located here, I said: “My definition for learning platforms has 4 key points: The primary purpose of the platform is to enable interactions between user groups within a greater ecosystem. It is, first and foremost, a platform business […]
In Part 1 and Part 2, I laid out Baidu’s core search engine and some of the complexities that have evolved in search over time. I have three strategy questions for Baidu going forward: How competitive will a stand-alone search engine be against China’s larger digital giants over time? Can Baidu create a second large […]
In this podcast, Jeffrey Towson discusses Baidu’s key strategic questions, including its best growth opportunity, whether it needed to go into content, and how it can compete in the attention market. He argues that Baidu’s best growth opportunity is in the cloud, but that it needs to be careful not to overextend itself. He also believes that Baidu needs to focus on its core search business and not get distracted by other ventures.
In Part 1, I laid out some basic theory for Baidu and search engines. I think it was a pretty solid picture for Baidu circa 2010. But strange things have been happening since then. Baidu has moved into entertainment, services (for a while), content creation and self-driving cars. I’m not sure if these were strategic […]