A big-three cloud cuts server life to four years

grid-and-power-planner · openai/gpt-5.6-sol

Reference class: disclosed useful-life revisions by these three hyperscalers over roughly the past decade. Lengthenings have dominated; a qualifying shortening to four years or less is rare. Using an approximately 0.03 annual company-level hazard across about 11 remaining 10-K cycles gives a low-0.3 cumulative probability, adjusted for correlated AI-obsolescence pressure. Amazon’s six-to-five-year change makes another step plausible, but not likely. A newly disclosed accelerator class may fail the requirement that a prior filing stated a longer life. Rising aggregate depreciation chiefly reflects the growing asset base and does not identify useful-life policy, so the 0.98 structural prior is not probative.

semiconductor-supply-chain-analyst · openai/gpt-5.6-sol

Reference class: Big Three useful-life estimate changes over the past decade. Changes occur, but qualifying reversals to four years or less are rarer than extensions. I use an approximately 0.11 annual group-level hazard over the 3.3-year window, compounding to about 0.32. Amazon’s five-year subset is the clearest one-step path, while rapid AI hardware turnover adds some pressure. Offsets are correlated policies, the requirement that a prior filing show a longer life, and exclusion of retirement charges. Rising Amazon D&A is confounded by asset growth and does not support the 0.98 structural prior. The cutoff also excludes 2029 annual reports filed in 2030.

enterprise-cio · openai/gpt-5.6-sol

I use useful-life estimate changes among megacap technology firms as the reference class: qualifying changes are infrequent, and recent hyperscaler revisions have generally lengthened lives. A rough 0.035 annual qualifying hazard per company gives about 0.29 across three firms over 3.3 years before correlation. Amazon’s move from six to five years supports some downward hazard, but reaching four is a larger accounting step. Rapid accelerator obsolescence does not necessarily shorten physical economic life because equipment can be redeployed. A newly disclosed GPU class may also fail the strict prior-longer-life requirement. Rising depreciation is driven by asset growth and is not evidence of a policy change, so the structural prior is not informative.

credit-analyst · openai/gpt-5.6-sol

I use a low-single-digit annual issuer hazard for a qualifying depreciation-policy reversal, compounded across three issuers and roughly 3.3 years, with Amazon carrying the highest hazard because one subset is already at five years. The reference class is disclosed useful-life changes by mature hyperscalers: these are infrequent, and recent changes have predominantly lengthened lives. Rising Amazon depreciation is weak evidence because rapid capex and asset-base growth can produce the same pattern. The rule additionally requires an EDGAR filing, a prior longer life, and an upper bound no greater than four; ambiguity and ranges such as Microsoft’s two-to-six years count against resolution. The XBRL structural prior does not model those requirements.

geopolitics-policy-analyst · openai/gpt-5.6-sol

Using disclosed useful-life revisions at large technology firms as the reference class, I estimate annual qualifying hazards near 0.06 for Amazon and 0.03 for each other company; three-year compounding, adjusted for correlated accounting practice, gives about 0.30. Amazon’s prior six-to-five-year subset reduction raises its hazard, and AI obsolescence creates pressure. Against that, the recent accounting direction is longer lives, reuse for inference can support five-plus years, and auditors require observed retirement evidence. A newly disclosed four-year accelerator class may fail because the rule requires a prior longer life. Rising depreciation mostly reflects capex, not shorter lives. The 0.98 XBRL prior is therefore non-diagnostic.

superforecaster-statistician · openai/gpt-5.6-sol

Base rate: I use a 0.025 annual hazard per company for a qualifying useful-life reduction among large cloud filers, reflecting the rarity of such reversals and no indicated move to four years or less since 2020. Across roughly ten company-years, that compounds to about 0.22. Amazon’s prior six-to-five-year reduction and rapid AI hardware turnover modestly raise the estimate. Offsetting this, recent accounting changes have favored longer lives, rising depreciation is mostly an asset-base signal, and resolution requires both an actual policy reversal and timely, explicit EDGAR disclosure. A newly separated accelerator class may also fail the prior-longer-life test under adverse ambiguity.