attention - Adjacent

May 27

AI-Generated Decks Are Now Standard Business Output

The ability to transform raw files into polished presentations has shifted from a specialized skill to a commodity feature in consumer AI tools. This changes how companies qualify work before it leaves the office. The business problem is no longer creation—it's that AI-generated decks look finished enough to bypass human review. Nate's example of a wrong number slipping through illustrates the risk: quality control must move upstream into the folder-preparation stage, not stay at the output stage. This creates an arbitrage opportunity for tools that sit between raw data and presentation, but it also reallocates where human judgment needs to concentrate.

theme-consumer privacy attention trust

May 20

Google's AI ambitions hinge on convincing users to share more data

Source: The Verge

Google is explicitly framing its AI strategy around data collection, betting that consumers will voluntarily hand over personal information in exchange for AI conveniences. That bet depends entirely on rebuilding trust after years of privacy scandals. The company's pivot toward positioning itself as a trustworthy AI partner, rather than an ad-targeting engine, signals recognition that the old surveillance-capitalism playbook won't work for the next phase of consumer tech, even as the underlying business model (trading data for services) remains unchanged. The core tension of 2026 tech is straightforward: AI's hunger for training data and personalization directly conflicts with the privacy expectations consumers now demand. Companies are betting that rebranding will close the gap.