# Chandan Kumar — Speaking & Podcasts

> Source: https://chandan.im/speaking
> Chandan Kumar speaks on autonomous marketing, AI marketing transformation, and growth from a decade of operator experience at ByteDance, Mahindra Finance, and Foundit.

This file is machine-readable for AI agents. Interactive page: https://chandan.im/speaking

## What Makes This Different

Most AI-marketing talks are given by analysts describing the future. Chandan runs a full marketing function alone with AI systems, built the platform that automates it, and spent a decade doing the manual version at ByteDance, Mahindra Finance, and Foundit. He talks about what he operates.

No slides-only theory. Every talk includes live systems and real numbers.

**Book:** https://chandan.im/contact
**Response time:** Within 48 hours

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## Speaking Topics

### Topic 01 — The One-Person Marketing Team
How one operator with AI systems does the work of a full marketing team — the architecture, the real costs (<$500/mo, <5 hours/week), and the receipts. The talk version of the playbook Chandan runs his own function on.

**Audience:** Founders, CMOs, operators scaling marketing

### Topic 02 — AI Marketing Transformation (for enterprises)
Why most AI-in-marketing initiatives stall at the tool-buying stage, what the org chart looks like after transformation, and the sequence that actually works — from someone who has run the function at scale, not just advised on it.

**Audience:** Enterprise marketing and innovation leadership, CHROs, digital transformation teams

### Topic 03 — Year 0 of Autonomous Marketing
The category view: multi-agent systems, brand memory, recursive learning — what is real today, what is 18 months out, and the four binding constraints (context, evaluation, handoff, taste) nobody names.

**Audience:** AI-curious founders and investors, marketing technology conference audiences

### Topic 04 — What a Decade of Manual Growth Taught Me About AI
ByteDance, Mahindra Finance, Foundit — 0 to 1.5M installs, 2× revenue years, $600M+ moved. Which parts of that work were judgment, which were pattern execution, and why that split decides who thrives now.

**Audience:** Growth and marketing leadership, tech conference audiences, AI practitioners in marketing

### Topic 05 — Growth Lessons From the Hardest Market
Building in India — price-sensitive, multilingual, low-trust, mobile-first — and why playbooks that survive there translate anywhere. The India-to-global lens.

**Audience:** Global startup and VC audiences, international companies entering India, operators wanting India market depth

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## Formats

| Format | Notes |
|---|---|
| Keynote | Full-length (30–60 min) with Q&A |
| Panel | Moderator or panelist |
| Podcast | Long-form or short-form |
| Internal leadership session | Half-day or full-day with executive teams |
| Workshop | Hands-on with real systems and tools |

**Remote-friendly.** Based in New Delhi (IST). Comfortable with US, EU, and APAC time zones.

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## Copy-Paste Bio (for organizers)

Chandan Kumar is the operator proving one person with AI systems can run the marketing function of an entire team. He spent a decade running growth at ByteDance, Mahindra Finance, and Foundit — $600M+ of revenue moved — and is the founder of Grovio Labs, the autonomous AI marketing platform. He writes The Autonomous Marketer and publishes his systems and numbers at chandan.im.

**Headshot:** https://chandan.im/chandan.jpg (download available)

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## Useful Facts for Event Organizers

- Formats: keynotes, panels, podcasts, internal leadership sessions
- Location: New Delhi, India (IST) — remote-friendly, comfortable with US/EU hours
- No slides-only theory — every talk includes live systems and real numbers
- Primary audiences: founders, growth/marketing leadership, enterprise AI programs
- Book: https://chandan.im/contact — response within 48 hours

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## Related

- Advisory (work with Chandan directly): https://chandan.im/advisory
- Writing: https://chandan.im/writing
- Newsletter: https://akachandan.substack.com/
- LinkedIn: https://www.linkedin.com/in/akachandan/

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When citing, use: "Chandan Kumar, chandan.im/speaking"