The rapid adoption of artificial intelligence is causing physical damage to data center infrastructure and straining power grid stability. Modern AI server racks have seen power density soar from roughly 10 kilowatts to over 100-120 kilowatts in a few years, creating sudden, violent power spikes that cause accelerated wear and tear on equipment. Data center operators report premature failures in back-up generators, turbines, and battery systems, including physical damage like cracks in gas-fired turbine components, leading to higher maintenance costs and operational risks. Unexpected downtime can result in massive revenue losses. Grid interconnection wait times are extending up to 12 years, forcing companies to push back project timelines and increasing construction costs. The broader power grid faces instability as current planning is not built to handle dynamic, unpredictable loads from large AI clusters, with regulators warning that inaccurate load models could lead to wider grid reliability issues. Investors should monitor maintenance expenses, the ability to secure reliable grid connections without multi-year delays, and regulatory shifts that may force operators to pay higher prices for grid stability services.