Silent Disaster

My friend R invited me to a girls night out recently. The gathering included about thirty women ranging in age from late 30s to late 70s. Ofcourse when it came to sharing what I do for work, many got curious about what I think of AI and what it means for my job. I answered honestly that I don't know and it does not appear that people like me have much choice in the matter. We can be worked out of our by adopting AI and training it how to be like us (this has already happpened to some folks I know that have been displaced from 30+ year long careers) or we will fall so ridiculously behind that our peers will produce 10x what we can and that will become our undoing. Many in the crowd did not work full-time and even among those that did, their jobs are bit out of reach of the AI tentacles (atleast for now). What I said did not sit well among these ladies and I could tell.

As in any room, the conversation surrounding artificial intelligence often splits into two camps: those marveling at the convenience and those sounding the alarm on our collective future.  A former Google insider has recently joined the latter, offering a stark warning about the path we are currently navigating. This perspective suggests that billions of people are effectively sleepwalking into a societal disaster fueled by the rapid and unchecked integration of AI into every facet of human life. There is also a third camp which was mostly what I ran into that eveing, people observing from the sidelines and feeling like it does not apply to everyone and all jobs so a lot of this hysteria is just a strange social malaise that has taken over the world these days. 

The core of the concern (for those in the first two camps, because the third does not think anything radical is happening) lies in how quickly these technologies are being adopted without a corresponding framework for safety or ethical boundaries. While the average user might enjoy the efficiency of an automated assistant or the novelty of generated art, the underlying infrastructure is shifting the way we process information and interact with reality. The insider points out that the sheer scale of this deployment means that any systemic failure or unintended consequence will not be contained to a small group but will instead impact a global population that is largely unprepared for the fallout.

There is a sense of urgency in this message that challenges the common narrative of inevitable progress. By framing the current state of tech adoption as a form of sleepwalking, the argument highlights a lack of conscious choice and critical evaluation by the public. We are moving toward a future defined by algorithms that prioritize engagement and data collection over human well-being, yet the momentum of the industry makes it difficult for individuals to pause and consider the long-term costs.

The warning serves as a call for more transparency and a slower, more deliberate approach to innovation. It suggests that if we continue to prioritize speed over safety, the disaster won't be a single event but a gradual erosion of privacy, autonomy, and social cohesion. Recognizing the risks now is the only way to wake up before the consequences become irreversible.