the most profitable companies on earth are suddenly issuing debt. AI is eating cash faster than they can generate it. earnings look amazing.

heres how it works. a gpu should depreciate over 3 years given how quickly compute technology iterates. but companies are stretching it to 6 years. annual depreciation expense gets cut in half and net income looks far more impressive than reality. but heres the real situation nvidia h100 chips bought in 2023 are renting out today for more than they cost originally - the asset is appreciating not depreciating - so now you have companies arguing why should we accelerate depreciation on something thats worth more than when we bought it its a standoff between accounting conservatism and market reality but heres what everyone is missing most analysts watch the compute cycle - how fast chips get faster - they miss the power cycle - how much electricity it takes to run them in a world of constrained data center power an assets value isnt about whether it can compute anymore - its about compute per watt - when blackwell offers 25x better energy efficiency the electricity consumed by older chips becomes an opportunity cost - then a liability - then a stranded asset companies will rip out perfectly functional h100s in year 3 - not because they stopped working - but because every watt they consume could run something 25 times more efficient that old gpus gracefully move from training to inference is an accounting fiction - when power is the bottleneck an energy inefficient chip has negative economic value - the 6 year useful life assumption is a ticking time bomb the big tech giants went from 400 billion to nearly 700 billion on capex - thats not opex hitting your income statement immediately - thats getting capitalized on the balance sheet and trickling down slowly through depreciation free cash flow is getting crushed - some of these companies going negative for the first time in years - but reported earnings looking great thanks to stretched depreciation schedules google just issued 15 billion in bonds including a 100 year bond in british pounds - a company sitting on mountains of cash is borrowing money for a century and theyre borrowing against assets that could be worthless in 3 years. heres the workflow if you want to trade around this: 1. pull up the cash flow statement - compare capex growth to revenue growth - if capex is outpacing revenue thats a red flag 2. check depreciation policy changes in the 10k footnotes - extensions from 3 to 6 years are earnings manipulation 3. look at free cash flow over 8 quarters - some hyperscalers going negative for the first time in years 4. watch for debt issuances from cash rich companies - when google issues century bonds while sitting on cash thats the tell 5. track the supplier chain instead - tsmc micron sk hynix oracle - they get the capex as revenue with zero balance sheet risk 6. follow the power cycle not the compute cycle - when blackwell offers 25x better energy efficiency the old h100s become liabilities the edge here is timing. The market wont price impairment risk until it shows up in earnings. this workflow surfaces the exposure quarters before the writedown hits - thats your only window to position before the repricing and collect the spread. people miss what is really happening here most analysts watch how fast chips get faster - but they miss the power cycle - how much electricity it takes to run them. hyperscalers say they can cascade old gpus from training to inference for years - thats how they justify 6 year useful life but in a world of constrained data center power an assets value isnt about whether it can compute - its about compute per watt. when blackwell offers 25x better energy efficiency the electricity consumed by older chips becomes a liability - companies will rip out functional h100s in year 3 to fit more efficient chips into limited power envelopes the cascading argument is an accounting fiction - when power is the bottleneck an energy inefficient chip has negative economic value the 6 year useful life is a ticking time bomb - were talking impairment charges in the hundreds of billions I have created a free and simple to run flow to put this breakdown into practice on any company so anyone can run this easily