Artificial Intelligence
LLMs and the Copyright Cliff: What Comes Next
Apr 18, 2026 · 9 min read
The State of Generative AI in 2026: Beyond the Hype
A field guide to where foundation models actually deliver value — and where they still quietly fail.
Priya Natarajan
May 22, 2026 · 10 min read
In the past 18 months, generative ai in production has moved from a niche concern to a boardroom conversation. The acceleration is not a coincidence — it tracks closely with how US technology leaders are rebuilding their stacks for an AI-native, distributed-by-default era.
What used to be a question of cost optimization is now a question of strategic posture. Teams that treat this work as plumbing fall behind teams that treat it as product. The difference compounds quarter over quarter, and the gap is becoming structurally hard to close.
For practitioners, the playbook is clear: instrument relentlessly, write down your assumptions, and revisit your architecture every six months. For executives, the harder work is governance — deciding what is a platform, what is a service, and what is a feature, and then resourcing each appropriately.
We expect this trend to dominate the next two earnings cycles. The companies that are quietly investing in the foundations now will be the ones whose narratives shift from "catching up" to "category-defining" by the end of the year.