Hosted "The 2026 Playbook" at Venture Café Tokyo last week Thursday 🇯🇵.

The 1-hour session was at Venture Café Tokyo’s 8th Anniversary representing Jemirae.

We dived deep into scaling via AI, Global Trust, and Founder Authority. My core takeaway? "The moment you feel 'ready' to do something, you’re already late."

It was a high-energy hybrid session with a global audience joining from the US and Europe. The feedback was incredible people are hungry for more.

Full session video and value-packed reels coming soon. What's your own view on AI in 2026?

Most teams we work with want to say their product is AI-powered. Few have asked whether their organisation is ready to support that claim. We have observed a recurring pattern where a team commits to building a machine learning system and, after months, discovers that their data isn't clean enough to train on. The infrastructure then fails to reliably serve a model. In such cases, our diagnosis has often concluded that the foundation is the problem. Machine learning readiness is a precondition, and one must begin with a straightforward question - "Do we have the data pipeline, infrastructure and cross-functional alignment to make this sustainable beyond a PoC?" That question is what prompted our first article titled "The Machine Learning Readiness Checklist". We cover everything a team needs, from data and infrastructure to the right kind of team members. All of this must be done before committing serious engineering time and budgets. If you're a founder, engineering lead or a decision maker within your organisation who wants to build things correctly, we encourage you to read the full piece here:

https://www.algorithmic.co/blogs/the-machine-learning-checklist We'll be sharing more each week. Follow along if this is relevant to what you're building.

P.S. This article is from late 2025 but more than ever relevant.