This episode of the AI Daily Brief explores what host Nathan Labenz calls the 'AI doom cycle' - the emotional and cognitive journey people experience as they grapple with artificial intelligence's implications. The show examines how different individuals and groups fall into various stages of this cycle, from initial skepticism through AI psychosis and doom desperation, ultimately arriving at what Labenz terms 'enlightened anxiety.'

The discussion draws parallels to Gartner's famous technology hype cycle but focuses on human psychological responses rather than technology adoption patterns. Through recent examples including Ken Griffin's dramatic reversal on AI capabilities, college graduation protests, and Silicon Valley's current malaise, the episode illustrates how the cycle manifests across different communities and contexts.

Ken Griffin's AI Awakening: From Skeptic to Believer

Citadel CEO Ken Griffin reversed his position on AI after initially dismissing it as 'all hype' at the World Economic Forum in January, calling AI-generated reports 'all garbage' upon deeper inspection.

By Stanford Business School this month, Griffin declared 'for the first time, AI is real,' reporting that work typically requiring 'people with masters and PhDs in finance over the course of weeks or months is being done by AI agents over the course of hours or days.'

Griffin's firm is seeing a 15-25% productivity boost from AI, but this filled him with 'trepidation' rather than excitement, noting 'these are not mid-tier white-collar jobs' being automated but 'extraordinarily high-skilled jobs.'

The realization left Griffin 'fairly depressed' one Friday as he could 'see how this was going to have such a dramatic impact on society,' illustrating the transition from AI psychosis to doom desperation.

The Doom Desperation Phase: Executives Predict Mass Unemployment

Microsoft AI CEO Mustafa Sulliman gives it '18 months for all white-collar work to be automated by AI,' while Anthropic CEO Dario Amade predicts 10% overall unemployment and 50% entry-level white-collar job losses.

Former presidential candidate Andrew Yang amplified Griffin's concerns, tweeting that 'finance will quickly follow tech in automation via AI,' representing widespread doom desperation among public figures.

Menlo Ventures' Didi Das described Silicon Valley as 'frenetic' with the 'worst divide in outcomes' he's ever seen, where 10,000 people hit '$20 million retirement wealth' while everyone else feels their skills are becoming obsolete.

Das noted widespread malaise: 'Why even work at all for quote-unquote peanuts? Will my job even exist in a few years? Many feel helpless. You hear the permanent underclass conversation a lot, especially from young people.'

College Graduates Revolt: Booing AI at Commencement

University of Arizona graduates loudly booed Google co-founder Eric Schmidt when he said 'The question is not whether AI will shape the world. It will. The question is whether you will have shaped artificial intelligence.'

Gloria Caulfield at University of Central Florida faced similar treatment when stating 'the rise of artificial intelligence is the next industrial revolution,' with boos loud enough to derail her speech.

Journalist Eric Thompson noted it's 'really, really unusual for the people building and selling a new technology to promise that it will destroy people's livelihoods,' explaining the graduates' hostile reaction.

Trevor Garcia summarized the sentiment: 'These kids are not anti-technology. They're anti-being told to be excited about something that feels like it was built for everyone except them.'

Real-World Recalibration: The Token Pricing Reality Check

Companies are shifting from subsidized flat-rate AI pricing to usage-based billing as compute shortages force market-based token allocation, with GitHub Copilot users facing dramatic cost increases.

One GitHub user's current $451 billing would become $11,432.22 under usage-based pricing, while another's $39 plan would cost $5,851.77, revealing massive previous subsidies.

Anthropic moved enterprise customers from $200 flat rates to $20 per seat plus usage billing for Claude, while GitHub and other platforms followed suit due to structural compute constraints.

Axios reported that 'AI can cost more than human workers now,' fundamentally changing the economics of automation and slowing theoretical displacement timelines.

Meta's Layoffs and the Human Cost of AI Transition

Meta announced layoffs affecting 10% of staff (8,000 people) with Wednesday as their last day, officially to 'run the company more efficiently and offset other investments' in infrastructure.

Wired reported that layoffs and AI restructuring drove morale to 'new lows' with one policy staffer stating 'I don't know anyone having a good time. The vibe is a bit over it.'

The company installed screen tracking software allegedly for AI training, contributing to the 'gloomy mood' as 'American employees being used to train the AI models that will replace them.'

Enlightened Anxiety: Moving Beyond Doom Narratives

Economist Alex Emos's essay What Will Be Scarce explores how the 'relational sector,' where human creation or service is part of economic value, may rise proportionally to AI automation savings.

OpenAI's Sam Altman shifted messaging from doom to augmentation, saying 'way cooler to help software developers Pokemon evolve into superheroes than to try to replace them.'

Jensen Huang's Carnegie Mellon commencement speech was called 'the most anxiety-relieving speech in the AI era' by focusing on generational opportunities for US reindustrialization and new job creation.

Policy discussions become more nuanced in enlightened anxiety, with proposals like Mark Cuban's federal token tax to fund AI transition costs and Matthew Iglesias's idea for affordable compute access requirements.