A viral dystopian video titled Energym has ignited fresh debate about artificial intelligence, automation and the future of work, just as companies accelerate AI driven restructuring and investors reassess long term economic risks. The satirical clip imagines a 2030s world where 80 percent of people have lost their jobs to artificial intelligence and now generate electricity in a fictional gym to power the very systems that replaced them.
Created by Belgian studio AiCandy, the video features AI aged versions of prominent tech leaders promoting a future where displaced workers trade lost income for renewed purpose by pedaling machines that sustain automated infrastructure. While fictional, the storyline has resonated widely online amid real world workforce reductions and shifting labor trends.
Recent corporate announcements underscore the backdrop. Block, the fintech firm founded by Jack Dorsey, confirmed plans to cut more than 4,000 jobs, nearly 40 percent of its workforce, as it pivots toward leaner operations supported by AI tools and smaller teams. Across sectors, companies are increasingly deploying automation to streamline costs and enhance productivity.
U.S. labor market data reflects this transition. According to recent figures from the Bureau of Labor Statistics, job openings in finance and insurance dropped to 134,000 per month by December 2025, roughly 50 percent lower than a year earlier and marking a decade low. While not solely attributable to AI, the trend has amplified concerns that intelligent systems are accelerating structural shifts in white collar employment.
Investor unease intensified in February after a detailed scenario analysis from Citrini Research outlined a potential cascade of AI driven layoffs, wage compression and market instability later this decade. Although framed as a scenario rather than a forecast, the report contributed to a sharp sell off in software and payments stocks, with companies such as Uber, American Express and Mastercard experiencing notable declines in a single session.
Within the crypto sector, some developers argue that decentralized AI ownership models offer an alternative path. Projects such as Olas Network are building frameworks for co owned AI agents, aiming to distribute control and economic participation among users rather than concentrating it within large centralized platforms.
David Minarsch, chief executive of Valory and a founding member of Olas, has suggested that the Energym vision reflects one potential outcome if AI remains dominated by closed systems controlled by a small group of corporations. He argues that providing individuals with direct ownership of AI agents could rebalance incentives and reduce the risk of widespread economic displacement.
As automation accelerates and public discourse intensifies, the Energym parody highlights a broader question confronting markets and policymakers alike. Whether artificial intelligence deepens inequality or expands opportunity may depend not only on technological capability but also on governance models, ownership structures and how value generated by AI systems is ultimately distributed.
