Air Street Press

The discussion dives into the pitfalls of the AI roll-up strategy, questioning its viability in transforming low-margin service businesses into software powerhouses. Experts critique the unrealistic expectations placed on these service models and stress the importance of understanding their core dynamics. The conversation further explores how private equity can aid in effectively integrating AI into professional services, but warns against traditional approaches that overlook ownership of the software necessary for genuine transformation.

At this year’s RAAIS, Paige Bailey of Google DeepMind delivered her talk on AI research to production with interactive demos and a clear thesis: “I’m going to show you how to automate significant parts of your work.” Generative models are now a co-author, a debugger, a lab assistant, a video editor. And increasingly, models are doing the work behind the curtain while you coach and edit. Here’s her talk and a narrative of the key insights:

A decade is a familiar yardstick for measuring progress. In that time, we tend to expect  steady, incremental change. Historically, meaningful change tends to unfold slowly. In AI, however, the last ten years has been a story of "gradually, then suddenly". The weekly model launches we are now accustomed to feel incremental in the heat of the moment, but a ten-year look back reveals a landscape transformed by something that feels closer to magic.At our 9th Research and Applied AI Summit (RAAIS), we brought together the people building the next decade. Researchers, founders, and policymakers who have gone from writing foundational papers to deploying infrastructure and policies at global scale. And if there’s one thing they agree on, it’s this: ten years in, we are still at the beginning.

On AI factories, sovereign AI and what this means for national AI strategies. This article originally appeared on Fortune.com and can be read here for free.

Explore the latest trends in AI policy and industry, including the geopolitical stakes of data centers. Discover innovative technologies like Alpha Evolve and their roles in scientific advancement. Dive into the self-improving Darwin Goodall machine that tweaks its own coding. Learn about the LaVita model's groundbreaking AI techniques and recent startup funding trends. Finally, catch up on major acquisitions, including OpenAI's significant buyout of Windsurf and Regeneron's strategic moves in drug discovery.

Our read of the UK's Ministry of Defence Strategic Defence Review 2025.

Bringing you the best of AI today and what’s coming tomorrow.

Scaling on-site precision oncology infrastructure and real-world data.

Born pre-GPT-4 to shape the world of GPT-7.

Discover how Wall Street's perception of artificial intelligence evolved from skepticism to fascination, driven by a pivotal Goldman Sachs report. Delve into the significance of quality data in machine learning, highlighting its advantage over mere quantity. Explore the complexities of deep learning, where less feature engineering is required, and critique the reliance on horizontal APIs. The discussion emphasizes the future importance of context awareness in enhancing digital assistants.