diff --git a/dev-packages/e2e-tests/test-applications/nextjs-15/tests/ai-test.test.ts b/dev-packages/e2e-tests/test-applications/nextjs-15/tests/ai-test.test.ts
index c63716a34fad..9fd05f83c5f9 100644
--- a/dev-packages/e2e-tests/test-applications/nextjs-15/tests/ai-test.test.ts
+++ b/dev-packages/e2e-tests/test-applications/nextjs-15/tests/ai-test.test.ts
@@ -31,34 +31,34 @@ test('should create AI spans with correct attributes', async ({ page }) => {
 
   // First AI call - should have telemetry enabled and record inputs/outputs (sendDefaultPii: true)
   /* const firstPipelineSpan = aiPipelineSpans[0];
-  expect(firstPipelineSpan?.data?.['ai.model.id']).toBe('mock-model-id');
-  expect(firstPipelineSpan?.data?.['ai.model.provider']).toBe('mock-provider');
-  expect(firstPipelineSpan?.data?.['ai.prompt']).toContain('Where is the first span?');
+  expect(firstPipelineSpan?.data?.['vercel.ai.model.id']).toBe('mock-model-id');
+  expect(firstPipelineSpan?.data?.['vercel.ai.model.provider']).toBe('mock-provider');
+  expect(firstPipelineSpan?.data?.['vercel.ai.prompt']).toContain('Where is the first span?');
   expect(firstPipelineSpan?.data?.['gen_ai.response.text']).toBe('First span here!');
   expect(firstPipelineSpan?.data?.['gen_ai.usage.input_tokens']).toBe(10);
   expect(firstPipelineSpan?.data?.['gen_ai.usage.output_tokens']).toBe(20); */
 
   // Second AI call - explicitly enabled telemetry
   const secondPipelineSpan = aiPipelineSpans[0];
-  expect(secondPipelineSpan?.data?.['ai.prompt']).toContain('Where is the second span?');
+  expect(secondPipelineSpan?.data?.['vercel.ai.prompt']).toContain('Where is the second span?');
   expect(secondPipelineSpan?.data?.['gen_ai.response.text']).toContain('Second span here!');
 
   // Third AI call - with tool calls
   /*  const thirdPipelineSpan = aiPipelineSpans[2];
-  expect(thirdPipelineSpan?.data?.['ai.response.finishReason']).toBe('tool-calls');
+  expect(thirdPipelineSpan?.data?.['vercel.ai.response.finishReason']).toBe('tool-calls');
   expect(thirdPipelineSpan?.data?.['gen_ai.usage.input_tokens']).toBe(15);
   expect(thirdPipelineSpan?.data?.['gen_ai.usage.output_tokens']).toBe(25); */
 
   // Tool call span
   /*  const toolSpan = toolCallSpans[0];
-  expect(toolSpan?.data?.['ai.toolCall.name']).toBe('getWeather');
-  expect(toolSpan?.data?.['ai.toolCall.id']).toBe('call-1');
-  expect(toolSpan?.data?.['ai.toolCall.args']).toContain('San Francisco');
-  expect(toolSpan?.data?.['ai.toolCall.result']).toContain('Sunny, 72°F'); */
+  expect(toolSpan?.data?.['vercel.ai.toolCall.name']).toBe('getWeather');
+  expect(toolSpan?.data?.['vercel.ai.toolCall.id']).toBe('call-1');
+  expect(toolSpan?.data?.['vercel.ai.toolCall.args']).toContain('San Francisco');
+  expect(toolSpan?.data?.['vercel.ai.toolCall.result']).toContain('Sunny, 72°F'); */
 
   // Verify the fourth call was not captured (telemetry disabled)
   const promptsInSpans = spans
-    .map(span => span.data?.['ai.prompt'])
+    .map(span => span.data?.['vercel.ai.prompt'])
     .filter((prompt): prompt is string => prompt !== undefined);
   const hasDisabledPrompt = promptsInSpans.some(prompt => prompt.includes('Where is the third span?'));
   expect(hasDisabledPrompt).toBe(false);
diff --git a/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts b/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts
index 3566d40322de..f9b853aa4946 100644
--- a/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts
@@ -13,14 +13,14 @@ describe('Vercel AI integration', () => {
       // First span - no telemetry config, should enable telemetry but not record inputs/outputs when sendDefaultPii: false
       expect.objectContaining({
         data: {
-          'ai.model.id': 'mock-model-id',
-          'ai.model.provider': 'mock-provider',
-          'ai.operationId': 'ai.generateText',
-          'ai.pipeline.name': 'generateText',
-          'ai.response.finishReason': 'stop',
-          'ai.settings.maxRetries': 2,
-          'ai.settings.maxSteps': 1,
-          'ai.streaming': false,
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.operationId': 'ai.generateText',
+          'vercel.ai.pipeline.name': 'generateText',
+          'vercel.ai.response.finishReason': 'stop',
+          'vercel.ai.settings.maxRetries': 2,
+          'vercel.ai.settings.maxSteps': 1,
+          'vercel.ai.streaming': false,
           'gen_ai.response.model': 'mock-model-id',
           'gen_ai.usage.input_tokens': 10,
           'gen_ai.usage.output_tokens': 20,
@@ -40,18 +40,18 @@ describe('Vercel AI integration', () => {
           'sentry.origin': 'auto.vercelai.otel',
           'sentry.op': 'gen_ai.generate_text',
           'operation.name': 'ai.generateText.doGenerate',
-          'ai.operationId': 'ai.generateText.doGenerate',
-          'ai.model.provider': 'mock-provider',
-          'ai.model.id': 'mock-model-id',
-          'ai.settings.maxRetries': 2,
+          'vercel.ai.operationId': 'ai.generateText.doGenerate',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.settings.maxRetries': 2,
           'gen_ai.system': 'mock-provider',
           'gen_ai.request.model': 'mock-model-id',
-          'ai.pipeline.name': 'generateText.doGenerate',
-          'ai.streaming': false,
-          'ai.response.finishReason': 'stop',
-          'ai.response.model': 'mock-model-id',
-          'ai.response.id': expect.any(String),
-          'ai.response.timestamp': expect.any(String),
+          'vercel.ai.pipeline.name': 'generateText.doGenerate',
+          'vercel.ai.streaming': false,
+          'vercel.ai.response.finishReason': 'stop',
+          'vercel.ai.response.model': 'mock-model-id',
+          'vercel.ai.response.id': expect.any(String),
+          'vercel.ai.response.timestamp': expect.any(String),
           'gen_ai.response.finish_reasons': ['stop'],
           'gen_ai.usage.input_tokens': 10,
           'gen_ai.usage.output_tokens': 20,
@@ -67,16 +67,16 @@ describe('Vercel AI integration', () => {
       // Third span - explicit telemetry enabled, should record inputs/outputs regardless of sendDefaultPii
       expect.objectContaining({
         data: {
-          'ai.model.id': 'mock-model-id',
-          'ai.model.provider': 'mock-provider',
-          'ai.operationId': 'ai.generateText',
-          'ai.pipeline.name': 'generateText',
-          'ai.prompt': '{"prompt":"Where is the second span?"}',
-          'ai.response.finishReason': 'stop',
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.operationId': 'ai.generateText',
+          'vercel.ai.pipeline.name': 'generateText',
+          'vercel.ai.prompt': '{"prompt":"Where is the second span?"}',
+          'vercel.ai.response.finishReason': 'stop',
           'gen_ai.response.text': expect.any(String),
-          'ai.settings.maxRetries': 2,
-          'ai.settings.maxSteps': 1,
-          'ai.streaming': false,
+          'vercel.ai.settings.maxRetries': 2,
+          'vercel.ai.settings.maxSteps': 1,
+          'vercel.ai.streaming': false,
           'gen_ai.prompt': '{"prompt":"Where is the second span?"}',
           'gen_ai.response.model': 'mock-model-id',
           'gen_ai.usage.input_tokens': 10,
@@ -97,20 +97,20 @@ describe('Vercel AI integration', () => {
           'sentry.origin': 'auto.vercelai.otel',
           'sentry.op': 'gen_ai.generate_text',
           'operation.name': 'ai.generateText.doGenerate',
-          'ai.operationId': 'ai.generateText.doGenerate',
-          'ai.model.provider': 'mock-provider',
-          'ai.model.id': 'mock-model-id',
-          'ai.settings.maxRetries': 2,
+          'vercel.ai.operationId': 'ai.generateText.doGenerate',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.settings.maxRetries': 2,
           'gen_ai.system': 'mock-provider',
           'gen_ai.request.model': 'mock-model-id',
-          'ai.pipeline.name': 'generateText.doGenerate',
-          'ai.streaming': false,
-          'ai.response.finishReason': 'stop',
-          'ai.response.model': 'mock-model-id',
-          'ai.response.id': expect.any(String),
+          'vercel.ai.pipeline.name': 'generateText.doGenerate',
+          'vercel.ai.streaming': false,
+          'vercel.ai.response.finishReason': 'stop',
+          'vercel.ai.response.model': 'mock-model-id',
+          'vercel.ai.response.id': expect.any(String),
           'gen_ai.response.text': expect.any(String),
-          'ai.response.timestamp': expect.any(String),
-          'ai.prompt.format': expect.any(String),
+          'vercel.ai.response.timestamp': expect.any(String),
+          'vercel.ai.prompt.format': expect.any(String),
           'gen_ai.request.messages': expect.any(String),
           'gen_ai.response.finish_reasons': ['stop'],
           'gen_ai.usage.input_tokens': 10,
@@ -127,14 +127,14 @@ describe('Vercel AI integration', () => {
       // Fifth span - tool call generateText span
       expect.objectContaining({
         data: {
-          'ai.model.id': 'mock-model-id',
-          'ai.model.provider': 'mock-provider',
-          'ai.operationId': 'ai.generateText',
-          'ai.pipeline.name': 'generateText',
-          'ai.response.finishReason': 'tool-calls',
-          'ai.settings.maxRetries': 2,
-          'ai.settings.maxSteps': 1,
-          'ai.streaming': false,
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.operationId': 'ai.generateText',
+          'vercel.ai.pipeline.name': 'generateText',
+          'vercel.ai.response.finishReason': 'tool-calls',
+          'vercel.ai.settings.maxRetries': 2,
+          'vercel.ai.settings.maxSteps': 1,
+          'vercel.ai.streaming': false,
           'gen_ai.response.model': 'mock-model-id',
           'gen_ai.usage.input_tokens': 15,
           'gen_ai.usage.output_tokens': 25,
@@ -151,16 +151,16 @@ describe('Vercel AI integration', () => {
       // Sixth span - tool call doGenerate span
       expect.objectContaining({
         data: {
-          'ai.model.id': 'mock-model-id',
-          'ai.model.provider': 'mock-provider',
-          'ai.operationId': 'ai.generateText.doGenerate',
-          'ai.pipeline.name': 'generateText.doGenerate',
-          'ai.response.finishReason': 'tool-calls',
-          'ai.response.id': expect.any(String),
-          'ai.response.model': 'mock-model-id',
-          'ai.response.timestamp': expect.any(String),
-          'ai.settings.maxRetries': 2,
-          'ai.streaming': false,
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.operationId': 'ai.generateText.doGenerate',
+          'vercel.ai.pipeline.name': 'generateText.doGenerate',
+          'vercel.ai.response.finishReason': 'tool-calls',
+          'vercel.ai.response.id': expect.any(String),
+          'vercel.ai.response.model': 'mock-model-id',
+          'vercel.ai.response.timestamp': expect.any(String),
+          'vercel.ai.settings.maxRetries': 2,
+          'vercel.ai.streaming': false,
           'gen_ai.request.model': 'mock-model-id',
           'gen_ai.response.finish_reasons': ['tool-calls'],
           'gen_ai.response.id': expect.any(String),
@@ -181,7 +181,7 @@ describe('Vercel AI integration', () => {
       // Seventh span - tool call execution span
       expect.objectContaining({
         data: {
-          'ai.operationId': 'ai.toolCall',
+          'vercel.ai.operationId': 'ai.toolCall',
           'gen_ai.tool.call.id': 'call-1',
           'gen_ai.tool.name': 'getWeather',
           'gen_ai.tool.type': 'function',
@@ -203,16 +203,16 @@ describe('Vercel AI integration', () => {
       // First span - no telemetry config, should enable telemetry AND record inputs/outputs when sendDefaultPii: true
       expect.objectContaining({
         data: {
-          'ai.model.id': 'mock-model-id',
-          'ai.model.provider': 'mock-provider',
-          'ai.operationId': 'ai.generateText',
-          'ai.pipeline.name': 'generateText',
-          'ai.prompt': '{"prompt":"Where is the first span?"}',
-          'ai.response.finishReason': 'stop',
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.operationId': 'ai.generateText',
+          'vercel.ai.pipeline.name': 'generateText',
+          'vercel.ai.prompt': '{"prompt":"Where is the first span?"}',
+          'vercel.ai.response.finishReason': 'stop',
           'gen_ai.response.text': 'First span here!',
-          'ai.settings.maxRetries': 2,
-          'ai.settings.maxSteps': 1,
-          'ai.streaming': false,
+          'vercel.ai.settings.maxRetries': 2,
+          'vercel.ai.settings.maxSteps': 1,
+          'vercel.ai.streaming': false,
           'gen_ai.prompt': '{"prompt":"Where is the first span?"}',
           'gen_ai.response.model': 'mock-model-id',
           'gen_ai.usage.input_tokens': 10,
@@ -230,19 +230,19 @@ describe('Vercel AI integration', () => {
       // Second span - doGenerate for first call, should also include input/output fields when sendDefaultPii: true
       expect.objectContaining({
         data: {
-          'ai.model.id': 'mock-model-id',
-          'ai.model.provider': 'mock-provider',
-          'ai.operationId': 'ai.generateText.doGenerate',
-          'ai.pipeline.name': 'generateText.doGenerate',
-          'ai.prompt.format': 'prompt',
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.operationId': 'ai.generateText.doGenerate',
+          'vercel.ai.pipeline.name': 'generateText.doGenerate',
+          'vercel.ai.prompt.format': 'prompt',
           'gen_ai.request.messages': '[{"role":"user","content":[{"type":"text","text":"Where is the first span?"}]}]',
-          'ai.response.finishReason': 'stop',
-          'ai.response.id': expect.any(String),
-          'ai.response.model': 'mock-model-id',
+          'vercel.ai.response.finishReason': 'stop',
+          'vercel.ai.response.id': expect.any(String),
+          'vercel.ai.response.model': 'mock-model-id',
           'gen_ai.response.text': 'First span here!',
-          'ai.response.timestamp': expect.any(String),
-          'ai.settings.maxRetries': 2,
-          'ai.streaming': false,
+          'vercel.ai.response.timestamp': expect.any(String),
+          'vercel.ai.settings.maxRetries': 2,
+          'vercel.ai.streaming': false,
           'gen_ai.request.model': 'mock-model-id',
           'gen_ai.response.finish_reasons': ['stop'],
           'gen_ai.response.id': expect.any(String),
@@ -263,16 +263,16 @@ describe('Vercel AI integration', () => {
       // Third span - explicitly enabled telemetry, should record inputs/outputs regardless of sendDefaultPii
       expect.objectContaining({
         data: {
-          'ai.model.id': 'mock-model-id',
-          'ai.model.provider': 'mock-provider',
-          'ai.operationId': 'ai.generateText',
-          'ai.pipeline.name': 'generateText',
-          'ai.prompt': '{"prompt":"Where is the second span?"}',
-          'ai.response.finishReason': 'stop',
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.operationId': 'ai.generateText',
+          'vercel.ai.pipeline.name': 'generateText',
+          'vercel.ai.prompt': '{"prompt":"Where is the second span?"}',
+          'vercel.ai.response.finishReason': 'stop',
           'gen_ai.response.text': expect.any(String),
-          'ai.settings.maxRetries': 2,
-          'ai.settings.maxSteps': 1,
-          'ai.streaming': false,
+          'vercel.ai.settings.maxRetries': 2,
+          'vercel.ai.settings.maxSteps': 1,
+          'vercel.ai.streaming': false,
           'gen_ai.prompt': '{"prompt":"Where is the second span?"}',
           'gen_ai.response.model': 'mock-model-id',
           'gen_ai.usage.input_tokens': 10,
@@ -293,20 +293,20 @@ describe('Vercel AI integration', () => {
           'sentry.origin': 'auto.vercelai.otel',
           'sentry.op': 'gen_ai.generate_text',
           'operation.name': 'ai.generateText.doGenerate',
-          'ai.operationId': 'ai.generateText.doGenerate',
-          'ai.model.provider': 'mock-provider',
-          'ai.model.id': 'mock-model-id',
-          'ai.settings.maxRetries': 2,
+          'vercel.ai.operationId': 'ai.generateText.doGenerate',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.settings.maxRetries': 2,
           'gen_ai.system': 'mock-provider',
           'gen_ai.request.model': 'mock-model-id',
-          'ai.pipeline.name': 'generateText.doGenerate',
-          'ai.streaming': false,
-          'ai.response.finishReason': 'stop',
-          'ai.response.model': 'mock-model-id',
-          'ai.response.id': expect.any(String),
+          'vercel.ai.pipeline.name': 'generateText.doGenerate',
+          'vercel.ai.streaming': false,
+          'vercel.ai.response.finishReason': 'stop',
+          'vercel.ai.response.model': 'mock-model-id',
+          'vercel.ai.response.id': expect.any(String),
           'gen_ai.response.text': expect.any(String),
-          'ai.response.timestamp': expect.any(String),
-          'ai.prompt.format': expect.any(String),
+          'vercel.ai.response.timestamp': expect.any(String),
+          'vercel.ai.prompt.format': expect.any(String),
           'gen_ai.request.messages': expect.any(String),
           'gen_ai.response.finish_reasons': ['stop'],
           'gen_ai.usage.input_tokens': 10,
@@ -323,17 +323,17 @@ describe('Vercel AI integration', () => {
       // Fifth span - tool call generateText span (should include prompts when sendDefaultPii: true)
       expect.objectContaining({
         data: {
-          'ai.model.id': 'mock-model-id',
-          'ai.model.provider': 'mock-provider',
-          'ai.operationId': 'ai.generateText',
-          'ai.pipeline.name': 'generateText',
-          'ai.prompt': '{"prompt":"What is the weather in San Francisco?"}',
-          'ai.response.finishReason': 'tool-calls',
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.operationId': 'ai.generateText',
+          'vercel.ai.pipeline.name': 'generateText',
+          'vercel.ai.prompt': '{"prompt":"What is the weather in San Francisco?"}',
+          'vercel.ai.response.finishReason': 'tool-calls',
           'gen_ai.response.text': 'Tool call completed!',
           'gen_ai.response.tool_calls': expect.any(String),
-          'ai.settings.maxRetries': 2,
-          'ai.settings.maxSteps': 1,
-          'ai.streaming': false,
+          'vercel.ai.settings.maxRetries': 2,
+          'vercel.ai.settings.maxSteps': 1,
+          'vercel.ai.streaming': false,
           'gen_ai.prompt': '{"prompt":"What is the weather in San Francisco?"}',
           'gen_ai.response.model': 'mock-model-id',
           'gen_ai.usage.input_tokens': 15,
@@ -351,22 +351,22 @@ describe('Vercel AI integration', () => {
       // Sixth span - tool call doGenerate span (should include prompts when sendDefaultPii: true)
       expect.objectContaining({
         data: {
-          'ai.model.id': 'mock-model-id',
-          'ai.model.provider': 'mock-provider',
-          'ai.operationId': 'ai.generateText.doGenerate',
-          'ai.pipeline.name': 'generateText.doGenerate',
-          'ai.prompt.format': expect.any(String),
+          'vercel.ai.model.id': 'mock-model-id',
+          'vercel.ai.model.provider': 'mock-provider',
+          'vercel.ai.operationId': 'ai.generateText.doGenerate',
+          'vercel.ai.pipeline.name': 'generateText.doGenerate',
+          'vercel.ai.prompt.format': expect.any(String),
           'gen_ai.request.messages': expect.any(String),
-          'ai.prompt.toolChoice': expect.any(String),
+          'vercel.ai.prompt.toolChoice': expect.any(String),
           'gen_ai.request.available_tools': expect.any(Array),
-          'ai.response.finishReason': 'tool-calls',
-          'ai.response.id': expect.any(String),
-          'ai.response.model': 'mock-model-id',
+          'vercel.ai.response.finishReason': 'tool-calls',
+          'vercel.ai.response.id': expect.any(String),
+          'vercel.ai.response.model': 'mock-model-id',
           'gen_ai.response.text': 'Tool call completed!',
-          'ai.response.timestamp': expect.any(String),
+          'vercel.ai.response.timestamp': expect.any(String),
           'gen_ai.response.tool_calls': expect.any(String),
-          'ai.settings.maxRetries': 2,
-          'ai.streaming': false,
+          'vercel.ai.settings.maxRetries': 2,
+          'vercel.ai.streaming': false,
           'gen_ai.request.model': 'mock-model-id',
           'gen_ai.response.finish_reasons': ['tool-calls'],
           'gen_ai.response.id': expect.any(String),
@@ -387,7 +387,7 @@ describe('Vercel AI integration', () => {
       // Seventh span - tool call execution span
       expect.objectContaining({
         data: {
-          'ai.operationId': 'ai.toolCall',
+          'vercel.ai.operationId': 'ai.toolCall',
           'gen_ai.tool.call.id': 'call-1',
           'gen_ai.tool.name': 'getWeather',
           'gen_ai.tool.input': expect.any(String),
diff --git a/packages/core/src/utils/vercel-ai.ts b/packages/core/src/utils/vercel-ai.ts
index 401c295c97c9..4717e2cf87c7 100644
--- a/packages/core/src/utils/vercel-ai.ts
+++ b/packages/core/src/utils/vercel-ai.ts
@@ -99,6 +99,13 @@ function processEndedVercelAiSpan(span: SpanJSON): void {
 
   renameAttributeKey(attributes, AI_TOOL_CALL_ARGS_ATTRIBUTE, 'gen_ai.tool.input');
   renameAttributeKey(attributes, AI_TOOL_CALL_RESULT_ATTRIBUTE, 'gen_ai.tool.output');
+
+  // Change attributes namespaced with `ai.X` to `vercel.ai.X`
+  for (const key of Object.keys(attributes)) {
+    if (key.startsWith('ai.')) {
+      renameAttributeKey(attributes, key, `vercel.${key}`);
+    }
+  }
 }
 
 /**