At Build 2026 (which opened on 02/06 in San Francisco), Microsoft introduced 7 self-developed models called "MAI" for coding, reasoning, image and voice tasks — according to reports, these include MAI-Thinking-1 (reasoning) and MAI-Image-2.5 (already running in PowerPoint). Microsoft is also consolidating its AI assistants into a "Copilot super app".
Quick summary
- When: Build 2026, opened on 02/06/2026.
- What: 7 self-developed 'MAI' models (coding, reasoning, image, voice) — according to reports.
- Highlights: MAI-Thinking-1 (reasoning) and MAI-Image-2.5 (in PowerPoint).
- Why it matters: even Microsoft is building its own models to reduce single-vendor dependence.
What happened?
According to reports from Build 2026, Microsoft is doubling down on its in-house 'MAI' model line alongside its relationship with OpenAI. Building its own models for many tasks and folding the assistant experience into a single 'Copilot super app' signals a strategy of being more proactive about core AI capabilities. (Detailed specs are based on reports and are for reference only.)
Why this matters
When one of the largest tech companies also builds its own models to reduce reliance on a single vendor, that is a strong signal of the value of owning your AI capabilities. Depending entirely on one party is a strategic risk.
A view for businesses
Vietnamese businesses don't need to train models from scratch like Microsoft, but they can achieve a similar goal with in-house AI built on open-source models running on-premise — owning the infrastructure and data, and avoiding lock-in to any single vendor.
Frequently asked questions
What is MAI?
It is a line of models developed in-house by Microsoft, introduced/highlighted at Build 2026 for many tasks such as coding, reasoning, image and voice. Detailed specs are according to reports.
Is Microsoft dropping OpenAI?
Not exactly. This is a strategy to add in-house model capabilities to reduce dependence on a single vendor, in parallel with the existing relationship.
What can small businesses learn?
Diversifying and owning your AI capabilities helps reduce vendor lock-in risk. In-house AI built on open-source models is a feasible way to achieve that.
Own your AI
Namtech deploys in-house AI on open-source models — with no lock-in to any single vendor.
Book a free consultationNote: This article is compiled from public sources as of 23/06/2026; information is for reference and may change.