Pandas DEPR: upcasting on invalid fill_value in unstack

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Reproducible Example

ser = pd.Series([1, 2, None, 4, 5, None])
ser.index = pd.MultiIndex.from_arrays([range(6), range(6, 12)])

>>> ser.unstack(fill_value="a")
    6    7    8    9    10   11
0  1.0    a    a    a    a    a
1    a  2.0    a    a    a    a
2    a    a  NaN    a    a    a
3    a    a    a  4.0    a    a
4    a    a    a    a  5.0    a
5    a    a    a    a    a  NaN

Issue Description

ATM in unstack (specifically in _Unstacker.get_new_values) we pass a fill_value to maybe_promote which upcasts on fill_values that can't be held normally. We only do this for numpy dtypes, not EADtypes, which is a not-great inconsistency.

In the spirit of PDEP-6, should we consider deprecating this upcasting? Or like in #53802, maybe allow int->float?

Expected Behavior

Installed Versions

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