Three out of five new Unicorn companies were Generative AI companies. Anthropic, Adept, and Character.AI all gained valuations of $1B or above.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.
I think that Generative AI companies, e.g. Anthropic, Adept, and Character.AI, are involved in developing artificial intelligence systems that can generate creative and original outputs, such as music, art, or written content. I see that companies have seen substantial funding and reached unicorn status, indicating high market demand and investor confidence in their technologies.
When it comes to a hard app launch, the goal is to make a big splash in the market by releasing the app to a wide audience all at once. I see the connection between the rise of generative AI companies and a hard app launch that can be seen in their shared objective of achieving significant success and visibility in a short period. Just as generative AI companies attracted substantial investment and achieved unicorn status due to their innovative technologies, a hard launch seeks to generate widespread attention and user adoption for a healthcare app.
Take your profits early and often, but if you want to let it ride, pick a big boy. One of the ones that will do well as the technology improves, whether they own it or not. Because it will improve, just maybe not at the AI maker(s) you chose.