If you thought the value of the AI ecosystem was going to only accrue to a few companies, the past few months have represented a turning point in what the future of AI might look like. It's clear that there's going to be incredible innovation and growth coming out of the frontier AI labs, and they will continue to push the limits of what model progress looks like. They have the scale of compute, large revenue streams and customer bases, incredible researchers, large data pipelines, and more, to continue to stay at the forefront. And at the same time, there’s an amazing ecosystem starting to play out to diffuse AI into the real world, taking on a variety of approaches that build on top of these frontier models or offer alternative visions that can credibly work as well. Here are just a few of the categories that seem to be working right now: * There’s an ecosystem of companies that will help enterprises and applied AI companies develop their own models tuned for specific use cases, and run the inference for them. This can drive additional performance gains and cost effective approaches to getting AI into workloads across different domains. * Applied AI companies that are delivering the end-user experience and business process tools necessary to actually driving enterprise adoption - including legal, IT, security, HR, customer support, coding, and more. These companies can work with any model and act as a routing layer, and deeply understand the enterprise workflow, can drive change management, actually get to the data necessary to work with, and more. * New labs are emerging that go deep in particular domains that are either not the focus areas of frontier labs or require a deep level of vertical expertise to stay ahead. Life sciences, financial services, healthcare, and more all have labs that will be able to bring completely new approaches to large enterprises across the economy. * There’s all new infrastructure emerging to run models and agents effectively, protect and govern how they operate, store and secure the data they work with, and help enterprises orchestrate their activities. Multiple layers of this stack all are being built up right now that will help drive enterprise adoption. * New services firms that can actually drive the change management in enterprises necessary to the diffusion of AI. There will be hundreds or even thousands of new firms that emerge in lines of business or specific industries that can enable agents to be adopted. I’m probably even missing a few categories, but this is what an incredible healthy technology ecosystem looks like. Way too early to call the winning architectures, and in reality it’s going to be a heterogenous environment as all other tech markets have become. Very exciting.

【開催レポート】日本政策金融公庫・楠本氏、カタリンク代表・中澤氏をゲストにお招きし、GEC（Globis Entrepreneurs Club）共催で資金調達勉強会を開催しました！ 公庫の制度活用術と、起業家自身の資金調達エピソードを共有いただきました✨ ブレイクポイントでは、これからも起業家の皆様に役立つ勉強会・イベントを開催してまいります！ #日本政策金融公庫# #スタートアップ#

なんで日本が今みたいになったかを140字で書けるとは思えないんだけれど、「きついときに内需に引きこもる決断をした企業が多かった」のは明らかに間違いだったと思う。 そうしなかった産業だけが、今も世界からリスペクトされている。

【プレスリリース/拡散大歓迎】 私が持っている全てを懸けて、「日本のスタートアップの本格的なグローバル展開が始まったのはこのプログラムからだった」、と後世語られる仕組み作りを目指します。 このチャレンジに興味をお持ちいただけるかた、ぜひご連絡ください！