diff --git a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/_load.py b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/_load.py
index fab95bf843..0b0fb55df8 100644
--- a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/_load.py
+++ b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/_load.py
@@ -32,6 +32,8 @@
     distributions,
     entry_points,
 )
+from .conflict import resolve_langchain_openai_conflict
+
 
 _logger = getLogger(__name__)
 
@@ -85,6 +87,7 @@ def _load_distro() -> BaseDistro:
 
 
 def _load_instrumentors(distro):
+    resolve_langchain_openai_conflict()
     package_to_exclude = environ.get(OTEL_PYTHON_DISABLED_INSTRUMENTATIONS, [])
     entry_point_finder = _EntryPointDistFinder()
     if isinstance(package_to_exclude, str):
diff --git a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/conflict.py b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/conflict.py
new file mode 100644
index 0000000000..c7e5c22d91
--- /dev/null
+++ b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/conflict.py
@@ -0,0 +1,135 @@
+#!/usr/bin/env python3
+"""
+Script to automatically disable OpenAI instrumentation when LangChain instrumentation
+is present to avoid duplicate telemetry.
+
+This script detects when both langchain and openai instrumentations would be loaded
+and automatically sets OTEL_PYTHON_DISABLED_INSTRUMENTATIONS=openai to prevent conflicts.
+"""
+
+import os
+import sys
+from importlib.metadata import entry_points
+from typing import Set
+
+
+def _is_package_installed(package_name: str) -> bool:
+    """Check if a package is installed."""
+    try:
+        __import__(package_name)
+        return True
+    except ImportError:
+        return False
+
+
+def _has_instrumentation_entry_point(entry_point_name: str) -> bool:
+    """Check if an instrumentation entry point exists."""
+    try:
+        instrumentors = entry_points(group="opentelemetry_instrumentor")
+        return any(ep.name == entry_point_name for ep in instrumentors)
+    except Exception:
+        return False
+
+
+def _get_disabled_instrumentations() -> Set[str]:
+    """Get the current set of disabled instrumentations."""
+    disabled = os.environ.get("OTEL_PYTHON_DISABLED_INSTRUMENTATIONS", "")
+    if not disabled:
+        return set()
+
+    # Handle comma-separated list and strip whitespace
+    return {item.strip() for item in disabled.split(",") if item.strip()}
+
+
+def _set_disabled_instrumentations(disabled_set: Set[str]) -> None:
+    """Set the OTEL_PYTHON_DISABLED_INSTRUMENTATIONS environment variable."""
+    if disabled_set:
+        os.environ["OTEL_PYTHON_DISABLED_INSTRUMENTATIONS"] = ",".join(sorted(disabled_set))
+    else:
+        # Remove the variable if set is empty
+        os.environ.pop("OTEL_PYTHON_DISABLED_INSTRUMENTATIONS", None)
+
+
+def _langchain_supports_callbacks() -> bool:
+    """
+    Check if LangChain supports LLM callbacks by verifying the callback infrastructure.
+
+    Returns:
+        True if LangChain has callback support, False otherwise.
+    """
+    try:
+        # Check if langchain_core.callbacks module exists
+        from langchain_core.callbacks import BaseCallbackHandler  # type: ignore
+
+        # Verify BaseCallbackHandler has the required methods for LLM instrumentation
+        if not hasattr(BaseCallbackHandler, 'on_chat_model_start'):
+            return False
+        if not hasattr(BaseCallbackHandler, 'on_llm_end'):
+            return False
+
+        # Check if BaseCallbackManager exists (used by langchain instrumentation)
+        try:
+            from langchain_core.callbacks import BaseCallbackManager  # type: ignore
+        except ImportError:
+            # Try alternative import path
+            try:
+                from langchain_core.callbacks.base import BaseCallbackManager  # type: ignore
+            except ImportError:
+                return False
+
+        return True
+    except ImportError:
+        # langchain_core.callbacks doesn't exist or can't be imported
+        return False
+    except Exception:
+        # Any other error means we can't verify callback support
+        return False
+
+def resolve_langchain_openai_conflict() -> bool:
+    """
+    Detect and resolve the conflict between langchain and openai instrumentations.
+
+    Returns:
+        True if conflict was detected and resolved, False otherwise.
+    """
+    # Check if langchain instrumentation is available
+    has_langchain_instrumentation = _has_instrumentation_entry_point("langchain")
+
+    # Check if openai package is installed
+    has_openai_package = _is_package_installed("openai")
+
+    # Check if openai instrumentation is available
+    has_openai_instrumentation = _has_instrumentation_entry_point("openai")
+
+    # Conflict exists if:
+    # 1. LangChain instrumentation is available
+    # 2. OpenAI package is installed
+    # 3. OpenAI instrumentation is available
+    conflict_detected = (
+            has_langchain_instrumentation
+            and has_openai_package
+            and has_openai_instrumentation
+    )
+
+    if not conflict_detected:
+        return False
+
+    # Get current disabled instrumentations
+    disabled = _get_disabled_instrumentations()
+
+    # Check if openai is already disabled
+    if "openai" in disabled:
+        return False  # Already disabled, no action needed
+
+    # Add openai to disabled list
+    disabled.add("openai")
+    _set_disabled_instrumentations(disabled)
+
+    print(
+        "INFO: Detected conflict between langchain and openai instrumentations. "
+        "Automatically disabling openai instrumentation to prevent duplicate telemetry. "
+        f"OTEL_PYTHON_DISABLED_INSTRUMENTATIONS={os.environ.get('OTEL_PYTHON_DISABLED_INSTRUMENTATIONS')}",
+        file=sys.stderr
+    )
+
+    return True
\ No newline at end of file