diff --git a/.conda/meta.yaml b/.conda/meta.yaml
index 1b6b1cf5c..070bc4a31 100644
--- a/.conda/meta.yaml
+++ b/.conda/meta.yaml
@@ -13,7 +13,7 @@ build:
 
 requirements:
   host:
-    - python>=3.9
+    - python>=3.10
     - setuptools
   run:
     - numpy
diff --git a/.github/workflows/test-conda-cpu.yml b/.github/workflows/test-conda-cpu.yml
index e0da5e42e..121102969 100644
--- a/.github/workflows/test-conda-cpu.yml
+++ b/.github/workflows/test-conda-cpu.yml
@@ -15,7 +15,7 @@ jobs:
   tests:
     strategy:
       matrix:
-        python_version: ["3.9", "3.10", "3.11", "3.12"]
+        python_version: ["3.10", "3.11", "3.12"]
       fail-fast: false
     uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
     with:
diff --git a/.github/workflows/test-pip-cpu.yml b/.github/workflows/test-pip-cpu.yml
index 42bb3a708..51075cc46 100644
--- a/.github/workflows/test-pip-cpu.yml
+++ b/.github/workflows/test-pip-cpu.yml
@@ -14,7 +14,7 @@ jobs:
       matrix:
         pytorch_args: ["-v 2.3.0", "-v 2.4.0", "-v 2.5.0", "-v 2.6.0", "-v 2.7.0"]
         transformers_args: ["-t 4.38.0", "-t 4.39.0", "-t 4.41.0", "-t 4.43.0", "-t 4.45.2"]
-        docker_img: ["cimg/python:3.9", "cimg/python:3.10", "cimg/python:3.11", "cimg/python:3.12"]
+        docker_img: ["cimg/python:3.10", "cimg/python:3.11", "cimg/python:3.12"]
       fail-fast: false
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
     with:
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 04642bf1c..a1f2be883 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -50,7 +50,7 @@ Github Actions will fail on your PR if it does not adhere to the ufmt or flake8
 
 #### Type Hints
 
-Captum is fully typed using Python 3.9+
+Captum is fully typed using Python 3.10+
 [type hints](https://www.python.org/dev/peps/pep-0484/).
 We expect any contributions to also use proper type annotations, and we enforce
 consistency of these in our continuous integration tests.
@@ -63,7 +63,7 @@ Then run this script from the repository root:
 ```
 Note that we expect mypy to have version 0.760 or higher, and when type checking, use PyTorch 1.10 or
 higher due to fixes to the PyTorch type hints available. We also use the Literal feature which is
-available only in Python 3.9 or above.
+available only in Python 3.10 or above.
 
 We also use [pyre](https://pyre-check.org/) for type checking. For contributors, the nightly version of
 pyre is used which can be installed with pip `pip install pyre-check-nightly`. To run pyre, you can
diff --git a/README.md b/README.md
index d7d87fd6d..c1a49b869 100644
--- a/README.md
+++ b/README.md
@@ -45,7 +45,7 @@ Captum can also be used by application engineers who are using trained models in
 ## Installation
 
 **Installation Requirements**
-- Python >= 3.9
+- Python >= 3.10
 - PyTorch >= 2.3
 
 
diff --git a/captum/_utils/typing.py b/captum/_utils/typing.py
index 512c910f0..f0f7427e9 100644
--- a/captum/_utils/typing.py
+++ b/captum/_utils/typing.py
@@ -3,17 +3,7 @@
 # pyre-strict
 
 from collections import UserDict
-from typing import (
-    List,
-    Literal,
-    Optional,
-    overload,
-    Protocol,
-    Tuple,
-    TYPE_CHECKING,
-    TypeVar,
-    Union,
-)
+from typing import List, Literal, Optional, overload, Protocol, Tuple, TypeVar, Union
 
 from torch import Tensor
 from torch.nn import Module
@@ -51,11 +41,7 @@
     # pyre-ignore[24]: Generic type `slice` expects 3 type parameters.
     SliceIntType = slice  # type: ignore
 
-# Necessary for Python >=3.7 and <3.9!
-if TYPE_CHECKING:
-    BatchEncodingType = UserDict[Union[int, str], object]
-else:
-    BatchEncodingType = UserDict
+BatchEncodingType = UserDict[Union[int, str], object]
 
 
 class TokenizerLike(Protocol):
diff --git a/captum/concept/_core/cav.py b/captum/concept/_core/cav.py
index 9cd5cc313..8b96056d3 100644
--- a/captum/concept/_core/cav.py
+++ b/captum/concept/_core/cav.py
@@ -4,7 +4,7 @@
 
 import os
 from contextlib import AbstractContextManager, nullcontext
-from typing import Any, Dict, List, Optional, TYPE_CHECKING
+from typing import Any, Dict, List, Optional
 
 import numpy as np
 import torch
@@ -168,11 +168,7 @@ def load(
         cavs_path = CAV.assemble_save_path(cavs_path, model_id, concepts, layer)
 
         if os.path.exists(cavs_path):
-            # Necessary for Python >=3.7 and <3.9!
-            if TYPE_CHECKING:
-                ctx: AbstractContextManager[None, None]
-            else:
-                ctx: AbstractContextManager
+            ctx: AbstractContextManager[None, None]
             if hasattr(torch.serialization, "safe_globals"):
                 safe_globals = [
                     # pyre-ignore[16]: Module `numpy.core.multiarray` has no attribute
diff --git a/pyproject.toml b/pyproject.toml
index 9608c4f12..672071496 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -2,4 +2,4 @@
 first_party_detection = false
 
 [tool.black]
-target-version = ['py39']
+target-version = ['py310']
diff --git a/setup.py b/setup.py
index 32126301b..10dbfb90c 100644
--- a/setup.py
+++ b/setup.py
@@ -16,7 +16,7 @@
 from setuptools import find_packages, setup
 
 REQUIRED_MAJOR = 3
-REQUIRED_MINOR = 9
+REQUIRED_MINOR = 10
 
 # Check for python version
 if sys.version_info < (REQUIRED_MAJOR, REQUIRED_MINOR):