Q1 2026 saw record AI funding - $297 billion including OpenAI's $122B round. But strip away the headlines and ask: where does the money actually flow? Infrastructure, training, enterprise tools, or products people use? A breakdown of capital allocation with a critical look at whether spending matches value creation.

Reuters counts 38,000 tech layoffs in Q1 2026 while AI companies raised record funding. This article digs into the disconnect: which roles are being cut, which are growing, how team structures are changing in data and ML organizations, and what the data actually shows about AI's impact on engineering jobs.

Five AI agents scored my data pipeline startup 7.5 - CAUTIOUS GO. The score was not the valuable part. The competitive blind spots and execution warnings were. Here is what Boss.cc found.

A practical guide to data lakehouse architecture in 2026: core components, medallion pattern, implementation options, governance, and real cost modeling.

A data engineer's honest exploration of Rust in the data ecosystem: Polars, DataFusion, Arrow-rs, Delta-rs, PyO3, performance benchmarks, and learning curve.

The Modern Data Stack promised simplicity but delivered cost explosions and tool sprawl. Here's what actually replaced it in 2026 and why consolidated wins.