A few years ago, Williams Samuel would have avoided certain infrastructure projects entirely because the research alone could take weeks. Much of the information he needed was buried in complex technical papers and fragmented documentation that required hours of manual reading before any meaningful work could begin.
Today, the software engineer and co-founder of Tinkersoft told Techloy that he approaches those same projects differently.
Instead of combing through papers line by line, he uploads the material into Google’s NotebookLM, asks questions directly through AI, and quickly narrows down the information he actually needs, making projects that would most likely feel tedious, not to mention time-consuming, easier and doable in short time spans.
What started as a niche productivity habit among early AI adopters is now becoming a trend across modern workplaces.
Ever since ChatGPT launched in 2022, AI adoption inside businesses has accelerated rapidly, with McKinsey estimating that between 75% and 88% of organisations now use AI in at least one business function. Yet the adoption figures reveal more than widespread experimentation with new tools. More than that, they reveal a growing divide between workers who use AI as an extra tool and those who are rebuilding the way they work around it.
