Ian Weissman, a social studies teacher in Manhattan, used A.I. for history projects. He said it’s still “the wild West” in figuring out how to regulate the tools.
AI-focused Super Pacs are spending heavily in midterms, and nearly half has gone to a single Manhattan district race
The artificial intelligence industry is spending heavily in the 2026 midterms, hoping to secure influence over the technology’s first generation of legislation – and New York City’s primary has emerged as the key battleground.
AI-focused Super Pacs have raised roughly $100m this cycle, of which $44m has been spent so far, in dozens of congressional races across the country. Nearly half of all spending has converged on a single Manhattan race: Tuesday’s Democratic primary in the district of NY-12.
Will Craft and Andrew Witherspoon contributed reporting
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The Coast Guard’s digital transformation strategy hinges on automating repetitive tasks, harnessing data and “empowering” the workforce with new tools.
$61 an hour by 2034 is where union housekeeper pay is headed under a strike-averting deal that lifts wages 50% over eight years, putting full-time earnings at $100,000 to $110,000 by 2032. In a market where Manhattan rooms already average between $500 and $600 a night, rates are expected to climb another 50% to 60% […]
Outside groups have spent roughly $12 million to support or oppose Mr. Bores’s campaign for a House seat in Manhattan, elevating his name in a crowded race.
Agentic AI has moved from conference hype to a budget line item. This is where the conversation gets more interesting and more uncomfortable. Unlike traditional AI systems that respond to a single prompt, classify a document, recommend an action, or generate a summary, agentic AI systems are designed to pursue goals. They plan, call tools, inspect results, retry failed steps, consult memory, hand off tasks to other agents, and sometimes critique their own work before producing an answer or taking an action.
That extra autonomy is the value proposition. It also introduces the cost problem.
A single chatbot interaction may consume a few thousand tokens. A useful agentic workflow can consume hundreds of thousands or millions of tokens per day because it does more than answer a question. It decomposes the problem, retrieves context, reasons through options, invokes APIs, checks the output, and often runs multiple passes before reaching a result. Therefore, the economics need to be understo
