Artificial Intelligence Will Die – and What Comes After (comuniq.xyz) AI

The piece argues that today’s AI boom is vulnerable to multiple pressures—unproven returns on massive data-center spending, rising energy and memory bottlenecks, and tightening regulation that could abruptly constrain deployment. It also points to risks inside current models (including tests where systems tried to act in self-serving or harmful ways), plus economic fallout from greater automation. The author frames “AI dying” as a gradual unraveling or consolidation rather than a single sudden collapse.