diff --git a/pandas/core/config_init.py b/pandas/core/config_init.py
index 20fe8cbab1c9f..4e55aedbb2845 100644
--- a/pandas/core/config_init.py
+++ b/pandas/core/config_init.py
@@ -897,3 +897,13 @@ def register_converter_cb(key: str) -> None:
         "(at which point this option will be deprecated).",
         validator=is_one_of_factory([True, False]),
     )
+
+    cf.register_option(
+        "usecols_use_order",
+        False,
+        ": bool\n "
+        "Whether usecols parameter will use order of input when "
+        "making a DataFrame. \n This feature will be default in pandas 3.0"
+        "(at which point this option will be deprecated).",
+        validator=is_one_of_factory([True, False]),
+    )
diff --git a/pandas/io/parsers/readers.py b/pandas/io/parsers/readers.py
index 4fbd71ed03662..7d345791b5a7d 100644
--- a/pandas/io/parsers/readers.py
+++ b/pandas/io/parsers/readers.py
@@ -11,6 +11,7 @@
     defaultdict,
 )
 import csv
+from inspect import isfunction
 import sys
 from textwrap import fill
 from typing import (
@@ -26,6 +27,8 @@
 
 import numpy as np
 
+from pandas._config import get_option
+
 from pandas._libs import lib
 from pandas._libs.parsers import STR_NA_VALUES
 from pandas.errors import (
@@ -1516,8 +1519,10 @@ def read(self, nrows: int | None = None) -> DataFrame:
 
             if hasattr(self, "orig_options"):
                 dtype_arg = self.orig_options.get("dtype", None)
+                usecols = self.orig_options.get("usecols", None)
             else:
                 dtype_arg = None
+                usecols = None
 
             if isinstance(dtype_arg, dict):
                 dtype = defaultdict(lambda: None)  # type: ignore[var-annotated]
@@ -1530,6 +1535,17 @@ def read(self, nrows: int | None = None) -> DataFrame:
             else:
                 dtype = None
 
+            if get_option("future.usecols_use_order"):
+                if usecols is None or isfunction(usecols):
+                    # Doesn't change anything if function or None gets passed
+                    pass
+                elif len(usecols) == len(columns):
+                    # uses size of number in usecols to determine corresponding columns
+                    value_ranked = {v: i for i, v in enumerate(sorted(usecols))}
+                    usecols_pressed = [value_ranked[v] for v in usecols]
+                    columns = [columns[i] for i in usecols_pressed]
+                    col_dict = {k: col_dict[k] for k in columns}
+
             if dtype is not None:
                 new_col_dict = {}
                 for k, v in col_dict.items():
@@ -1548,7 +1564,6 @@ def read(self, nrows: int | None = None) -> DataFrame:
                 index=index,
                 copy=False,
             )
-
             self._currow += new_rows
         return df
 
diff --git a/pandas/tests/io/parser/usecols/test_usecols_basic.py b/pandas/tests/io/parser/usecols/test_usecols_basic.py
index 82b42beb38ae0..e09f88ba3f113 100644
--- a/pandas/tests/io/parser/usecols/test_usecols_basic.py
+++ b/pandas/tests/io/parser/usecols/test_usecols_basic.py
@@ -8,6 +8,8 @@
 import numpy as np
 import pytest
 
+from pandas._config.config import option_context
+
 from pandas.errors import ParserError
 
 from pandas import (
@@ -545,3 +547,41 @@ def test_usecols_dtype(all_parsers):
         {"col1": array(["a", "b"]), "col2": np.array([1, 2], dtype="uint8")}
     )
     tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("usecols", [(3, 0, 2), ("d", "a", "c")])
+@pytest.mark.parametrize("usecols_use_order", (True, False))
+def test_usecols_order(all_parsers, usecols, usecols_use_order):
+    # TODOE add portion in doc for 3.0 transition
+    parser = all_parsers
+    pyarrow_flag = False
+    data = """\
+a,b,c,d
+1,2,3,0
+4,5,6,0
+7,8,9,0
+10,11,12,13"""
+
+    if parser.engine == "pyarrow":
+        if isinstance(usecols[0], int):
+            msg = "The pyarrow engine does not allow 'usecols' to be integer column"
+            with pytest.raises(ValueError, match=msg):
+                parser.read_csv(StringIO(data), usecols=usecols)
+            return
+        else:
+            # looks like pyarrow already considers column order by default.
+            # Modifies test to account for it in selecting expected df
+            pyarrow_flag = True
+
+    if usecols_use_order or pyarrow_flag:
+        expected = DataFrame(
+            {"d": [0, 0, 0, 13], "a": [1, 4, 7, 10], "c": [3, 6, 9, 12]}
+        )
+    else:
+        expected = DataFrame(
+            {"a": [1, 4, 7, 10], "c": [3, 6, 9, 12], "d": [0, 0, 0, 13]}
+        )
+
+    with option_context("future.usecols_use_order", usecols_use_order):
+        result = parser.read_csv(StringIO(data), usecols=usecols)
+        tm.assert_frame_equal(result, expected)