"Everyone's forgotten about the AI bubble and is instead dancing around the AI "inflection point," when AI in general and agents in particular begin to take over huge swaths of knowledge work, with massive consequences for the economy and the workforce. The recent sell-off of SaaS stocks is an indication of how seriously the industry takes this. For journalists, all this mainstream AI noise, coupled with the steady drumbeat of layoffs in the media industry, quickly turns into a familiar feeling: pressure to do more."
"But AI isn't just changing how stories get made. It's changing how stories get found. So the temptation to use AI to do "more with less," which in many cases will be to tell the same kinds of stories, just more quickly and more often, is misguided. This is because of the contradiction in how AI systems surface information: While they look for sameness to reinforce the patterns they're seeing, they don't reward it."
"It's hard to tell AI news from AI hype at the best of times, but the most recent surge around agents, triggered by many developers embracing Claude Code a couple of months ago, feels like something different. With the viral freakout over Moltbook, the agent social network, and the Super Bowl ad slap fight between OpenAI and Anthropic, AI has escalated to a new level of mainstream attention."
AI agents and recent viral events have pushed AI into mainstream attention and prompted talk of an inflection point that could reshape knowledge work and the economy. Market reactions, such as the sell-off of SaaS stocks, reflect industry concern about those changes. Newsrooms are shrinking while layoffs continue, increasing pressure to boost output under the premise that AI is a productivity multiplier. Using AI to produce more of the same content risks being ineffective because AI discovery favors a single authoritative version of a story rather than multiple similar iterations.
Read at Fast Company
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