Since the beginning of last year, the interest in AI has gone into overdrive. Enterprises tried to “out-announce” one another regarding their use of AI. Similarly, venture investors have been investing large sums at nosebleed valuations in startups developing anything that appears to involve generative AI. But, despite the corporate statements and the venture investments, the adoption and deployment of AI, and more specifically generative AI by the enterprise, are still in the very early stages.
We are still in the early phase of enterprises adopting generative AI. However, even at this early point enterprises must…
As with every previous AI era, the benefits promised to the enterprise from the application of generative AI will likely…
During the last six months, we spent time with our firm’s corporate partners to assess whether the enterprise is ready for generative AI and updated our investment theses accordingly. Our work convinced us that Large Language Models (LLMs)/Foundation Models and applications that incorporate them will open the door to the development of a new class of intelligent enterprise applications.
AI has three roles in new mobility. It is an enabler, a differentiator, or a monetizer. The recent explosion of interest in generative AI begs the question: could generative AI contribute to new mobility and if so, in which of the three roles? This post attempts to answer this question by presenting a few ideas and identifying problems that may inhibit the broad use of generative AI in new mobility.




