Abid Chaudhry

I talk about AI in marketing, emotional intelligence in leadership, and building a nonlinear career. For teams, conferences, and one-on-one.

Most talks about AI in marketing are really just product demos dressed up as strategy. What I try to do instead is get honest about the actual friction — what changes when you automate creative work, what gets lost, what gets better, and what it requires from the people doing it.

I also talk about career navigation and emotional intelligence in ways that don't feel like corporate training. The version where someone in the room recognizes something real.

I've spoken at internal leadership events, team offsites, and external conferences. I'm available for keynotes, panels, workshops, and fireside formats.

Past & Upcoming

Spring 2026Panelist

How to Start a Career in Strategy & Operations

Leland Career Panel

A practical panel discussion focused on the reality of building a career in strategy and operations. The session covers core execution frameworks, key skills to develop, and how to navigate nonlinear career transitions in high-growth environments.

Spring 2026Featured Speaker

How to Build an AI Context Engine That Turns Marketing Messaging into Revenue

CMO Alliance AI Summit

Most companies are prompt-engineering their way through AI adoption. ServiceNow took a different approach. This session breaks down how we built a context engine that codifies 73 Message Houses into the grounding layer for every AI workflow across marketing, sales, and customer engagement.

Summer 2025Keynote Speaker

The Human Algorithm

Product Marketing Alliance (PMA) Seattle Summit

An exploration of the tension between automation and authenticity. This keynote addresses how product marketers can leverage AI to scale execution while retaining the singular, human perspective required to build genuine trust with customers.

Winter 2025Solo Presenter / Coach

Interview Best Practices (Without the Script)

Leland Job Search Week

Most interview advice works on paper and falls apart under pressure. You know your experience, but turning it into clear, grounded answers in real time is a different skill. This session focuses on the mechanics of translation over memorization.

Winter 2025Featured Speaker

Stop Chatting, Start Building

PMA AI in Product Marketing Virtual Summit

Most product marketers are stuck in copy-paste mode with AI. This session covers how to move beyond one-off browser prompts to build real backend workflows and tailored content engines you can actually hand off to the field. Practical, demo-driven, no theory.

What I talk about

Topic Details 01

The Canonical Layer Is the Job

What's the point of PMM in a post-AI world? A look at why PMM's strategic judgment becomes more critical when product velocity and competitive cloning accelerate.

Talk Outline & Details

Most conversations about AI and PMM start in the wrong place. They start with productivity. How to write faster, research quicker, produce more with less. That's a real conversation, but it's not the important one.

The important one is this: when every organization has access to the same AI tools, generating content at the same velocity, trained on the same market signals — what exactly are you competing on?

This session starts there and doesn't skip to the optimistic part.

Product orgs are spending tens of millions of dollars in tokens generating capabilities and features at a pace no GTM team can match. A competitor can replicate your product in a week with a fleet of agents. The output layer — decks, briefs, campaigns, competitive summaries — is becoming a commodity across the entire category simultaneously. And without a strong strategic layer guiding what gets amplified, AI doesn't differentiate your organization. It accelerates your convergence toward the same generic market narrative everyone else is producing.

That's the actual risk. Not that AI replaces PMM. That PMM sleepwalks into irrelevance by optimizing for the layer that no longer matters.

The answer is the canonical layer — the structured strategic intelligence that every AI tool, every seller, and every campaign in your organization builds from. PMMs who own that layer don't produce every artifact. They're the source everything else draws from. When product velocity is outpacing GTM capacity and competitive differentiation is collapsing at the output layer, the canonical layer is the only durable moat left. It's also the place where PMM's judgment — about buyers, about narrative, about what signals actually matter — becomes more valuable than it has ever been.

This session covers the market forces driving that shift, the framework for building and maintaining a canonical content layer in your own domain, and real examples from how it's been built and deployed at enterprise scale across 73 message houses as a live retrieval layer connected directly into AI tools.

You'll leave with a clear model for what PMM's strategic job looks like when content production is no longer the job, a practical framework for structuring your messaging as retrievable knowledge rather than finished documents, and a canonical audit of your own domain you can act on immediately.


What you'll take away: - A framework for why PMM's market function becomes more critical as product velocity and competitive cloning accelerate — not less. - A practical model for building and maintaining a canonical content layer for your domain, grounded in real enterprise deployment. - A live audit exercise that surfaces where your irreplaceable strategic judgment lives and how to make it retrievable. - A clear answer to the question this session opens with.

Get in touch

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