Agalia Tan

This is the next stage of search, which includes contextual discovery that’s based on what the system understands about each user, and which provides more tailored, personalized overviews of the most relevant responses.

Both AI Mode and Ask YouTube are initial moves towards this, which will eventually also integrate more agentic elements that can,... See more

in the age of algorithms, a question to ponder (h/t yancey strickler) once the algorithms know you, how do you break those things? Let's say you go down the rabbit hole. How the fuck do you get out? How do you get out and reorient yourself as a different type of person? That's a very real question for me lately. I feel... See more

As a recent article in Slate put it, “Unless organizations develop clear strategies, A.I. in the workplace becomes a bull in a china shop—with those who never even wanted it tasked with cleaning up the mess.”

Outsourced gut instinct

So much of good marketing is instincts. Seeing the signs before anyone else. Translating a spark into a smart campaign. Knowing the line between brilliance and brash. With AI, we’re watching decision makers run big ideas through a machine that finds the median.

One person shared, “It validates to me how absolutely unqualified and inept these people in C-suite positions are that they need a machine/robot to validate their opinions because they have no real POV and strategy themselves. They so desperately want to always be the right answer in the room. To have a machine that can’t argue back and essentially... See more

Even if the feedback wasn’t what you wanted to hear, it came from a place of assumed expertise. Now it feels like AI is the final approver.

Not only is leadership using AI in their own work, but they are forcing employees to use it as well. The problem is that many of the tasks that bosses are asking their team to use AI for are the exact ones that... See more