---
license: cc-by-nd-4.0
task_categories:
- text-generation
- text-classification
- feature-extraction
- question-answering
tags:
- finance
- nlp
- transcripts
- ceo
- executives
- sentiment-analysis
- hedge-fund
- alternative-data
- earnings-calls
- podcasts
- interviews
- market-signals
- quant
- fed
- macro
size_categories:
- 100K<n<1M
---

<div align="center">

# 🎙️ CEO Transcripts — Verified Executive Interviews

### The World's Largest Database of Verified C-Suite Transcripts

[![Website](https://img.shields.io/badge/🌐_Website-ceointerviews.ai-blue?style=for-the-badge)](https://ceointerviews.ai)
[![API](https://img.shields.io/badge/📚_API_Docs-Available-green?style=for-the-badge)](https://ceointerviews.ai/api_docs/)
[![Contact](https://img.shields.io/badge/📧_Contact-lucas@ceointerviews.ai-red?style=for-the-badge)](mailto:lucas@ceointerviews.ai)

**20,000+ Executives** · **100,000+ Transcripts** · **400,000+ Quotes** · **S&P 500 + NASDAQ + Global Leaders**

</div>

---

## 🔥 What's In This Sample?

This is a **free evaluation sample** from [CEOInterviews.ai](https://ceointerviews.ai) featuring **9 of the most market-moving voices** in finance, tech, and policy.

| Executive | Role | Why They Matter |
|-----------|------|-----------------|
| **Jensen Huang** | CEO, NVIDIA | Every AI demand signal moves $3T in market cap |
| **Jerome Powell** | Chair, Federal Reserve | His words move trillions—quants build NLP models on Fed language |
| **Elon Musk** | CEO, Tesla | Highest search volume globally, 3-hour podcast appearances |
| **Warren Buffett** | CEO, Berkshire Hathaway | Most famous investor alive, legendary annual meeting Q&As |
| **Donald Trump** | 45th & 47th President | Most searched political figure globally, 3-hour Rogan appearance, tariff policy signals move markets |
| **Mark Zuckerberg** | CEO, Meta | Podcast king—Rogan, Fridman, unscripted strategy reveals |
| **Jamie Dimon** | CEO, JPMorgan | Banking bellwether, "hurricane" recession calls move markets |
| **Cathie Wood** | CEO, ARK Invest | Retail trader icon, daily commentary on disruptive innovation |
| **Ray Dalio** | Founder, Bridgewater | Hedge fund legend, macro frameworks every quant knows |

**Sample Date Range:** 3 months (August — Nov 2025)
**Full Dataset:** 2007-Present (updated daily)

---

## 💡 The Problem We Solve

> **Alpha lives in unguarded moments.**

The media playbook for executives has fundamentally shifted:

| Old Playbook | New Reality |
|--------------|-------------|
| Scripted earnings calls | 3-hour Joe Rogan podcasts |
| PR-approved press releases | Unscripted Lex Fridman interviews |
| Quarterly investor days | Off-the-cuff conference Q&As |

**The signal is there. But it's buried in 10,000+ hours of fragmented audio.**

CEOInterviews.ai transforms this chaos into structured, queryable, backtestable data.

---

## 🎯 Example: Powell vs Dimon on Recession Risk

**Research Question:** *"What did Jerome Powell and Jamie Dimon say about recession risk in 2022?"*

### Using Our API:

```python
import requests

API = "https://ceointerviews.ai/api"
headers = {"X-API-Key": "your_api_key"}

powell_quotes = requests.get(f"{API}/quotes/", params={"entity_id": 15847, "keyword": "recession"}, headers=headers).json()
dimon_quotes = requests.get(f"{API}/quotes/", params={"entity_id": 12903, "keyword": "recession"}, headers=headers).json()

for q in powell_quotes["results"][:3]:
    print(f"[Powell {q['source_created_at'][:10]}] {q['text'][:150]}...")

for q in dimon_quotes["results"][:3]:
    print(f"[Dimon {q['source_created_at'][:10]}] {q['text'][:150]}...")
```

### Sample Output:

```
[Powell 2022-06-15] "We're not trying to induce a recession now, let's be clear about that. 
We're trying to achieve 2% inflation..."

[Dimon 2022-06-01] "You know, I said there's storm clouds but I'm going to change it... 
it's a hurricane. Right now, it's kind of sunny, things are doing fine..."

[Powell 2022-09-21] "We have got to get inflation behind us. I wish there were a painless 
way to do that. There isn't..."

[Dimon 2022-09-26] "This is serious stuff... it's a different environment than we've ever 
seen before... the Fed has to meet this now..."
```

**This is the alpha.** Dimon called the "hurricane" 2 weeks before Powell acknowledged pain was coming.

---

## 📊 Dataset Schema

Each row is a **notable quote** with full context about the executive and source video.

| Field | Type | Description |
|-------|------|-------------|
| `quote_text` | string | **The quote itself** |
| `entity_simple_name` | string | Normalized name (e.g., "Jensen Huang") |
| `entity_title` | string | Job title |
| `entity_profile_pic_url` | string | Profile image URL |
| `post_video_thumbnail_url` | string | Video thumbnail URL |
| `post_appearance_date` | date | **When executive actually spoke** ⭐ |
| `company_logo_url` | string | Company logo URL |
| `entity_institution` | string | Company/organization |
| `post_title` | string | Video/podcast title |
| `post_source_url` | string | Original YouTube URL |
| `quote_is_notable` | bool | AI-flagged as significant |
| `quote_is_controversial` | bool | AI-flagged as controversial |
| `quote_is_financial_policy` | bool | Market/policy relevant |
| `quote_topics` | list | Extracted topics (e.g., `["tariffs", "trade"]`) |
| `quote_entities` | list | People mentioned |
| `quote_companies` | list | Companies mentioned |
| `post_description` | string | Video description |
| `post_source_created_at` | datetime | When video was published |
| `quote_timestamp_from_tx` | string | Timestamp in video (e.g., `00:01:48,000`) |
| `quote_created_at` | datetime | When we extracted this quote |
| `entity_id` | int | Executive ID |
| `entity_name` | string | Full name |
| `entity_is_politician` | bool | Is a political figure |
| `entity_is_company_leader` | bool | Is a corporate executive |
| `entity_is_top_influencer` | bool | High-profile individual |
| `company_id` | int | Company ID |
| `company_ticker` | string | Stock ticker (e.g., "NVDA") |
| `post_id` | int | Source video/transcript ID |
| `post_appearance_lag_days` | int | Days between appearance and publish |
| `post_thumbnail_quality_review_score` | float | AI thumbnail verification (0-1) |
| `post_transcript_quality_review_score` | float | AI transcript verification (0-1) |
| `post_transcript_length_chars` | int | Transcript length in characters |
| `post_has_transcript` | bool | Has full transcript available |
| `transcript_demo_only_request_licensed_access` | list | **Transcript preview** (first 20 lines) |
| `quote_id` | int | Unique quote identifier |

---

## ⭐ What Makes CEOInterviews Different?

### 1. **Appearance Date Detection**

Most datasets only have `publish_date`. But a podcast uploaded today might contain an interview from 6 months ago.

**We detect when the executive actually spoke.**

```python
# Example: Interview recorded in January, published in March
{
    "publish_date": "2022-03-15",      # When YouTube uploaded
    "appearance_date": "2022-01-20",   # When Buffett actually spoke ⭐
}
```

This is critical for backtesting. You need to know **when the market could have known**, not when the video appeared.

### 2. **AI + Human Verification**

Every transcript passes through:
- 🤖 **Thumbnail Analysis**: Is the executive actually in the video?
- 🤖 **Transcript Verification**: Is this their voice, not dubbed/AI-generated?
- 🤖 **Quality Scoring**: Is the transcript complete and accurate?

**No deepfakes. No dubbing. No secondhand reporting.**

### 3. **Structured Quote Extraction**

We don't just give you transcripts—we extract the **market-moving moments**:

```python
{
    "text": "We're seeing something we haven't seen in 40 years...",
    "is_notable": True,
    "is_financial_policy": True,
    "topics": ["inflation", "monetary_policy", "fed"],
    "timestamp_in_video": "00:23:45"
}
```
---

## 📈 Use Cases

| Use Case | How This Dataset Helps |
|----------|------------------------|
| **Sentiment Alpha** | Backtest NLP signals on Fed language, CEO confidence |
| **Event Studies** | Measure market reaction to specific statements |
| **ESG Tracking** | Monitor executive commitments on climate, DEI |
| **Competitive Intel** | What is Jensen saying about AMD? What is Zuckerberg saying about Apple? |
| **Macro Signals** | Track Dalio's "changing world order" thesis evolution |
| **LLM Fine-tuning** | Train models on authentic executive communication |
| **Media Analysis** | How do CEOs communicate differently on Rogan vs CNBC? |

---

## 📊 Sample vs Full Dataset

| Metric | This Sample | Full Dataset |
|--------|-------------|--------------|
| Executives | 9 | **20,000+** |
| Transcripts | ~1400 | **100,000+** |
| Quotes | ~7,000 | **400,000+** |
| Date Range | 2025 | **2007-Present** |
| Updates | Static | **Daily** |
| API Access | ❌ | ✅ 1,000 req/min |
| Custom Entities | ❌ | ✅ On request |

---

## 🔐 Get Full Access

This sample is **<1%** of our full dataset.

### Full Dataset Includes:
- ✅ Every S&P 500 and NASDAQ CEO
- ✅ Global political leaders (Presidents, Prime Ministers, Fed chairs)
- ✅ Top AI founders (Altman, Hassabis, etc.)
- ✅ Legendary investors (Buffett, Dalio, Ackman, Fink)
- ✅ Daily updates
- ✅ RESTful API with full pagination
- ✅ CSV/JSON export for model training
- ✅ White-glove enterprise support

### Pricing

| Tier | Price | Best For |
|------|-------|----------|
| **Researcher** | $499/mo | Academic research, small teams |
| **Professional** | Custom | Hedge funds, trading desks |
| **Enterprise** | Custom | Full API access, custom coverage |

### Contact

📧 **Email:** [lucas@ceointerviews.ai](mailto:lucas@ceointerviews.ai)  
🌐 **Website:** [ceointerviews.ai](https://ceointerviews.ai)  
📚 **API Docs:** [ceointerviews.ai/api_docs](https://ceointerviews.ai/api_docs/)

---

## 📜 License

**CC-BY-NC-ND-4.0** (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0)

### What This Means:

| ✅ Allowed | ❌ Not Allowed |
|-----------|----------------|
| Download and evaluate | Commercial use |
| Academic research | Redistribute modified versions |
| Personal projects | Resell or sublicense |
| Cite in papers | Create derivative datasets |

**For commercial use, contact [lucas@ceointerviews.ai](mailto:lucas@ceointerviews.ai)**

---

## 🛠️ Built By

<div align="center">

**Lucas Ou-Yang**  
*Former Engineering Manager and Staff ML Engineer @Coinbase, @Tiktok, @Meta superintelligence labs*

Building institutional-grade datasets for quantitative research.

[![Website](https://img.shields.io/badge/Website-ceointerviews.ai-blue?style=flat-square)](https://ceointerviews.ai)

</div>

---

## 📣 Citation

If you use this dataset in research, please cite:

```bibtex
@misc{ceointerviews2024,
  author = {Ou-Yang, Lucas},
  title = {CEOInterviews.ai: Verified Executive Transcript Dataset},
  year = {2024},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/codelucas/ceo-transcripts-verified-sample}
}
```

---

<div align="center">

**⭐ Star this dataset if you find it useful!**

Questions? Reach out at [lucas@ceointerviews.ai](mailto:lucas@ceointerviews.ai)

</div>