Shortest disclosed server useful life, big three cloudsno data
— years
on track <= 5 · off >= 6manual ↗
connector returned no usable reading · checked 2026-10-19
Radar · Capital and credit · T2 · 2029 · THESIS
By 2029-12-31 at least one of Alphabet, Microsoft, or Amazon discloses in a Form 10-K or 10-Q that the estimated useful life of servers, or of a separately identified class of AI accelerators, has been reduced to four years or less.
Useful life is the accounting hinge of the whole buildout. At six years, $200 billion of servers costs $33 billion a year in depreciation; at four, $50 billion. A cut to four years by any of the big three would confirm that annual accelerator generations make older fleets uneconomic for inference, and would flow straight into cloud pricing, margins, and the collateral math behind GPU-backed debt.
Registered at 45% on September 8, 2026. Engine repriced 14 times; now 82%.
Dated rungs. Each is scored on its own; the thesis does not get credit for the ladder until the rungs land.
filled bar · my probabilityhollow dot · engineamber date · due, awaiting adjudication
m1 · 2027-12-31 · 50% · One of the three discloses AI accelerators or GPUs as a separately depreciated asset class with its own useful life.
m2 · 2028-12-31 · 50% · A second reduction in stated server useful life (any of the three, any subset) appears in a 10-K or 10-Q.
Registered thresholds. Status is computed from the latest public reading.
Shortest disclosed server useful life, big three cloudsno data
— years
on track <= 5 · off >= 6manual ↗
connector returned no usable reading · checked 2026-10-19
Amazon depreciation and amortization (quarterly)between
20B usd
on track >= 22B · off < 17Bsec-xbrl ↗
series as of 2026-06-30
Would raise my number
Would cut it
6 personas on one model (openai/gpt-5.6-sol); other vendors were unavailable this run, so read this as one model's persona-averaged view.
32%
grid-and-power-planner · openai/gpt-5.6-sol
Reference class: useful-life estimate changes by these three hyperscalers since 2020. Changes have generally extended server lives; the supplied record shows only Amazon’s one-year subset reduction to five, not four. Over roughly 3.2 years, I use a 0.04 annual qualifying-change hazard per company, then discount the resulting union probability for correlated policies and the strict prior-filing comparison. AI obsolescence and Amazon’s reversal create upside, but reuse and secondary deployment can sustain five- or six-year accounting lives. Rising depreciation mainly reflects asset-base growth, so the 0.98 XBRL structural prior is not probative. Neither unobserved milestone is sufficient for resolution.
31%
semiconductor-supply-chain-analyst · openai/gpt-5.6-sol
I use the recent big-three useful-life-change reference class: changes have predominantly extended server lives, while Amazon’s supplied six-to-five-year change is the notable reversal. Across roughly 9.5 remaining company-years, a low-single-digit annual company hazard, with Amazon somewhat higher, compounds to about 0.3. Rapid accelerator generations support shorter economic lives, but reuse for inference and accounting optimization can preserve five-to-six-year depreciation. Separately identifying GPUs would increase the opportunity set, though such disclosure is not required. Rising Amazon depreciation is mainly consistent with expanding asset balances and does not establish a useful-life cut. The deadline also precedes calendar-year companies’ fiscal-2029 10-Ks.
29%
enterprise-cio · openai/gpt-5.6-sol
I use the base rate of disclosed useful-life revisions by capital-intensive mega-cap technology companies, with an estimated any-company annual hazard near 0.10 through 2029. Amazon’s move from six to five years shows revision risk, and rapid accelerator obsolescence creates pressure toward four years. Against that, recent accounting changes have generally lengthened lives, accelerator classes may remain aggregated, and the rule requires an explicit qualifying filing plus a longer life in the prior filing. Rising depreciation is not diagnostic because rapid asset growth produces the same pattern. Calendar-year companies’ fiscal 2029 10-Ks will likely fall outside the deadline, further narrowing opportunities.
29%
credit-analyst · openai/gpt-5.6-sol
Using post-2020 hyperscaler useful-life revisions as the reference class, I estimate a roughly 3%–4% annual qualifying-change hazard per issuer. Compounding across three issuers and about three filing years gives approximately 0.29. Amazon’s existing five-year subset creates the clearest path, but recent revisions have predominantly lengthened lives. Rising Amazon depreciation mainly reflects the expanding asset base and is not evidence of a four-year policy; therefore the XBRL structural prior is poorly specified. The milestones are not necessary conditions and should not be multiplied into the thesis. The literal requirement for an EDGAR disclosure, a prior longer life, and an upper bound no greater than four keeps my estimate below 0.45.
32%
geopolitics-policy-analyst · openai/gpt-5.6-sol
I use a roughly 0.11 annual portfolio hazard across three remaining filing cycles, based on the reference class of hyperscaler useful-life revisions. Recent revisions have predominantly lengthened lives; Amazon’s six-to-five-year change is the clearest path to a qualifying four-year policy. Rapid AI obsolescence raises economic pressure, but accounting can retain broad pooled classes, and Microsoft’s “two to six years” fails the upper-bound test. Rising Amazon depreciation is weak evidence because heavy capital spending also drives it. The XBRL structural prior is therefore inapplicable. The horizon also excludes calendar-year companies’ fiscal-2029 10-Ks, limiting opportunities. My estimate is below the forecaster’s 0.45.
24%
superforecaster-statistician · openai/gpt-5.6-sol
Base rate: I use a 0.025 annual hazard per company for a qualifying downward useful-life revision; across roughly 9.5 company-years, that implies about 0.21. Amazon’s prior six-to-five-year reduction and rapid accelerator obsolescence raise the estimate modestly. Offsetting this, recent hyperscaler accounting has generally lengthened lives, depreciation growth is not evidence of a policy change, and the rule requires both a reduction to four years or less and explicit, timely 10-K/10-Q wording. The 0.98 structural prior relies on an unsuitable depreciation-expense proxy. The forecaster’s 0.45 appears too high; no calibration table was supplied for a further correction.
98% from sec-xbrl-loglinear-bootstrap:li-2. log-linear growth +0.164/yr on the last 16 points, extrapolated from 2026-06-30; P(li-2 satisfies onTrack >= 22000000000.0 at 2029-12-31); proxy for the thesis, not its rule