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Speaking & keynotes

Speakers worth watching and what they actually talk about, a free speaking package template you can fill in today, and an honest read on which speakers bureau a newer speaker should realistically pursue. Everything here is free except where a badge says otherwise.

Downloadable speaking package template

Free

Keynote Speaker Starter Toolkit

A fill-in-the-blank speaking package template: positioning statement and bios, three signature keynote topics with audience takeaways, proof and testimonials, showreel and photo checklist, and plain-language notes on fees, cancellation, travel, and rights so you know what a fair standard deal looks like.

Coach’s note: Work it in order: content and proof first, then visuals, then business terms. Nothing in it is legal advice — have an attorney read anything before you sign or send it.

Speakers worth watching

Speakers worth watching across seven lanes: job search, entrepreneurship, personal branding, inclusive hiring, disability and accessibility, AI, and tech ethics. Use their topic framing as a model for your own — notice how each one names an audience and a takeaway, not just a subject.

Showing 41 speakers across all lanes.

Abeba Birhane

Ethics in AI & Tech

Cognitive scientist; founder of the AI Accountability Lab at Trinity College Dublin

Speaking topics

  • Auditing training datasets
  • AI accountability

Coach’s note: Her dataset audits are the empirical backbone under a lot of otherwise abstract argument about training data.

Akshat Mishra

AI & Technology

Lead Product Designer for Agentic Experiences at Docusign

Speaking topics

  • Beyond AI Slop: A Product Builder's Workflow for Shipping Useful Agentic Experiences

Coach’s note: The most practical speaker on this list for anyone building with AI tools: his "taste.md" idea is about writing your judgment down so the tool can follow it.

Alondra Nelson

Ethics in AI & Tech

Professor at the Institute for Advanced Study; architect of the Blueprint for an AI Bill of Rights

Speaking topics

  • AI policy and civil rights
  • Science, technology and society

Coach’s note: Start with the Blueprint itself — it is short, free and the clearest statement of what rights-based AI policy would actually require.

Andrea Iorio

AI & Technology

Former Tinder Latin America CEO and former L'Oréal Brazil Chief Digital Officer, author of "Between You and AI," helping organizations across Latin America and Europe navigate AI adoption.

Speaking topics

  • Digital transformation for leaders
  • Human skills in an AI-first company

Anna Varosyan

AI & Technology

VP of Engineering and Deputy CTO at Affinidi

Speaking topics

  • AI Systems Are Missing a Trust Layer: How to Build Reliable AI in Production

Coach’s note: Her framing is useful if you work anywhere near compliance: she treats trust as something you engineer into a system, not something you claim in marketing copy.

Arvind Narayanan

Ethics in AI & Tech

Professor of Computer Science at Princeton; co-author of AI Snake Oil

Speaking topics

  • Telling working AI from overselling
  • Predictive systems and their limits

Coach’s note: The best antidote on this page to marketing claims. He is precise about which criticisms are fair and which are not.

Bhanu Vallabaneni

AI & Technology

Technology Director, Core Engineering at Wells Fargo

Speaking topics

  • Governance by Design: Building Auditable Lakehouse Architectures in Regulated Industries

Coach’s note: Worth hearing if you want to know what "auditable" actually means to a bank — the constraints he works under are the ones most AI demos quietly ignore.

Cathy O'Neil

Ethics in AI & Tech

Mathematician; author of Weapons of Math Destruction; founder of ORCAA

Speaking topics

  • Auditing algorithms
  • Accountability for scoring systems

Coach’s note: Read her for the practical question nobody asks often enough: who gets to appeal the score, and to whom.

Codie Sanchez

Entrepreneurship & Small Business

Buying and building small businesses, explained in plain language

Speaking topics

  • Buying small businesses
  • Cash-flow-first entrepreneurship

Dan Chuparkoff

AI & Technology

Former Google engineering leader who translates innovation from leading companies into practical, team-level AI application.

Speaking topics

  • AI adoption for teams
  • Decision-making and innovation

Erik Qualman

AI & Technology

Bestselling author and digital transformation speaker focused on the behaviors and mindsets that separate people who advance with AI from those left behind.

Speaking topics

  • Digital leadership
  • Ethical use of technology

Geoff Woods

AI & Technology

Founder and CEO of AI Leadership and author of the #1 bestseller "The AI-Driven Leader," which emphasizes strategic partnership over technical skill.

Speaking topics

  • AI-driven decision making for executives
  • Thinking like a CEO

Helen Nissenbaum

Ethics in AI & Tech

Professor at Cornell Tech; originator of contextual integrity

Speaking topics

  • Privacy as contextual integrity
  • Data use and norms

Coach’s note: The idea to take from her: consent to share data in one setting is not consent to use it in another. That single point settles a lot of AI arguments.

Inioluwa Deborah Raji

Ethics in AI & Tech

Researcher on AI auditing and accountability

Speaking topics

  • Auditing AI systems
  • AI accountability in practice

Coach’s note: Read her if you want to understand why "we ran an audit" is not the same as "we fixed it".

Jyostna Seelam

AI & Technology

Senior Manager and Engineering Lead, Software Engineering at Capital One

Speaking topics

  • Squeezing the Token: A Lean Framework for LLM Cost and Prompt Optimization

Coach’s note: The clearest writer of the group on a problem everyone hits second: your AI feature works, and then the bill arrives.

Manisha Arora

AI & Technology

Data Science Lead, Ads Business and Marketing at Google

Speaking topics

  • From Model Quality to User Value: A Measurement Framework for AI

Coach’s note: If you only take one idea from this conference, take hers: decide how you will measure value before you ship the model.

Margaret Mitchell

Ethics in AI & Tech

Chief Ethics Scientist at Hugging Face; lead author of Model Cards

Speaking topics

  • Model documentation and transparency

Coach’s note: If you only take one habit from this lane, take documentation: say what a model was tested on and where it does worse.

Parna Mehta

AI & Technology

AIOps Engineer, AWS Support Engineering at Amazon Web Services

Speaking topics

  • The Frugal Context Engineer

Coach’s note: She comes at AI from the support queue, which means she has seen how these systems actually fail rather than how they are meant to work.

Pearl Chen

AI & Technology

Chief Commercial Officer at Xoople

Speaking topics

  • The Last Mile of AI Is Human

Coach’s note: The business-side counterweight to the engineering talks: her argument is that adoption, trust and relationships decide whether any of it earns money.

Rahaf Harfoush

AI & Technology

Digital anthropologist and author of "Hustle and Float," examining how people actually adapt to technology through a cultural and human lens.

Speaking topics

  • Digital anthropology and burnout culture
  • How technology reshapes work

Ruchi Batra

AI & Technology

Technology and AI security leader at U.S. Bank

Speaking topics

  • Who Dunnit: AI Identity & Action Attribution

Coach’s note: Her question — who did the thing, the human or the agent? — is the one every organization will have to answer in writing before long.

Ruha Benjamin

Ethics in AI & Tech

Professor of African American Studies at Princeton; author of Race After Technology

Speaking topics

  • Race and algorithmic systems
  • Designing technology for justice

Coach’s note: Start here if you want the argument that bias is not a bug to be patched but a design outcome. Her writing is accessible and quotable without being shallow.

Rumman Chowdhury

Ethics in AI & Tech

Founder and CEO of Humane Intelligence; former head of Twitter's ML ethics team

Speaking topics

  • Red-teaming AI systems
  • Public evaluation of models

Coach’s note: The most practical person here on actually testing a deployed model rather than debating it.

Safiya Umoja Noble

Ethics in AI & Tech

Professor at UCLA; author of Algorithms of Oppression

Speaking topics

  • Search, bias and power
  • Technology and racial justice

Coach’s note: The clearest available account of how advertising business models shape what you are shown. Useful background before you trust any AI search answer.

Shannon Vallor

Ethics in AI & Tech

Baillie Gifford Chair in the Ethics of Data and AI, University of Edinburgh

Speaking topics

  • AI and human character
  • Ethics of data and AI

Coach’s note: The most genuinely philosophical voice in this lane, and a useful counterweight to both hype and doom framings.

Shawn DuBravac

AI & Technology

Economist — Chief Economist at the Global Electronics Association and founder of the Avrio Institute, formerly Chief Economist of the Consumer Technology Association — who translates tech trends into business strategy.

Speaking topics

  • Economic outlook and tech trends
  • What AI means for your industry

Shawn Kanungo

AI & Technology

Innovation and disruption speaker known for industry-specific AI demonstrations that help non-technical audiences understand change.

Speaking topics

  • Disruption strategy for traditional businesses
  • Practical AI experiments

Sol Rashidi

AI & Technology

Former Chief AI, Data, and Analytics Officer at Estée Lauder, Sony Music, and Royal Caribbean; speaks on real-world operational AI adoption.

Speaking topics

  • Enterprise AI strategy
  • Data leadership in practice

Sravanthi Kondoju

AI & Technology

Data Platform Engineering Lead at Target

Speaking topics

  • Building AI-Ready Data Platforms: Architecture Patterns for Analytics, RAG, and AI Agents

Coach’s note: The unglamorous prerequisite talk. Most failed AI projects are really failed data platform projects.

Steve Lerch

AI & Technology

Former Google, GoPro, and Roku executive delivering "AI for All," a keynote built specifically for non-technical audiences.

Speaking topics

  • AI for business teams
  • Translating tech trends into action

Susan Frew

AI & Technology

Fortune 50 executive turned AI super-user and author of "RE-CODED: Upgrade Your Business DNA with AI," focused on practical AI adoption for small business and franchise owners.

Speaking topics

  • AI adoption for small business
  • Scaling a service business

Tristan Harris

Ethics in AI & Tech

Co-founder of the Center for Humane Technology; writes and speaks on technology's impact on attention and society.

Speaking topics

  • ai ethics
  • ai ethics
  • ethics
  • humane technology
  • person to follow
  • thought leader
  • tristan harris

Coach’s note: A leading voice on humane technology and AI's societal effects.

Vijaya Kaushik

AI & Technology

Executive Director, Data Science at JPMorganChase

Speaking topics

  • Evaluation Driven Development for Multi Agent Enterprise AI Platform

Coach’s note: Evaluation-driven development is the enterprise version of writing tests first — slower to start, much cheaper than finding out in production.

Virginia Eubanks

Ethics in AI & Tech

Political scientist; author of Automating Inequality

Speaking topics

  • Automated decision-making in public services

Coach’s note: The best reporting on where automated decisions land hardest, and the least abstract book on this list.

Zack Kass

AI & Technology

Former Head of Go-to-Market at OpenAI, now Executive-in-Residence at UVA McIntire; focuses on grounded, outcomes-first AI keynotes.

Speaking topics

  • The future of work with AI
  • AI literacy for organizations

Speakers bureau examples

Which agency should a new speaker actually pursue? Here is what each one really is, and whether you can approach it at all.

FreeOrganization
Entrepreneurship & Free Tools

A-Speakers

International speakers bureau headquartered in Denmark with US and UK offices, claiming 1,000+ client organizations and access to thousands of speakers worldwide.

Why I recommend it: There is no speaker application or submission page anywhere on the site — that is the finding. A-Speakers reads as a bureau that sources speakers through industry relationships and co-brokerage with other agencies. Treat it as "they find you," and build visibility instead of hunting for a form.

#entrepreneurship#free#keynote#organization#resources#speaker#speakers-bureau#speaking
a-speakers.comAdded Sep 2, 20260 opens
FreeOrganization
Entrepreneurship & Free Tools

BigSpeak Speakers Bureau

One of the larger bureaus by its own account (~$370M booked, 72% of the Fortune 1000 as clients), with a roster including James Clear and Marc Randolph.

Why I recommend it: Invitation-only: they state outright that they do not accept unsolicited speaker applications, and ask you not to follow up. Their stated criteria — already established on the paid circuit, real existing video footage, a published book — are a useful checklist of what "bureau-ready" means. Use it as a target, not an application.

#entrepreneurship#free#keynote#organization#resources#speaker#speakers-bureau#speaking
bigspeak.comAdded Sep 2, 20260 opens
FreeOrganization
Entrepreneurship & Free Tools

Eagles Talent Speakers Bureau

Full-service speakers bureau, 40+ years in business, with hundreds of speakers across categories and clients including Capital One, Ford, Yale, and Wells Fargo. Non-exclusive booking for most speakers, plus a smaller exclusive roster they manage directly.

Why I recommend it: The most realistic first bureau relationship. Submissions are open — email a bio, fees, at least three topics with program descriptions, and a 5-10 minute demo video. But they say it themselves: it is not geared toward speakers starting out, and they only reach out if you match a client need. Treat it as joining a large passive pool, not an application with a decision date. Non-exclusive is the upside: you can still book directly.

#entrepreneurship#free#keynote#organization#resources#small-business#speaker#speakers-bureau#speaking
eaglestalent.comAdded Sep 2, 20260 opens

Commission and fee structure

None of these bureaus publish their commission rate — that is normal in the industry, since it is negotiated per relationship rather than posted. Industry reporting puts standard bureau commission at 25–30% of the speaking fee, so on a $12,500 booking a bureau keeps roughly $3,100–$3,750.

Independent individual agents tend to run closer to 10–20%, but often want a monthly retainer of $2,000–$3,000 on top of commission. The rule of thumb: representation only starts to make financial sense once you are reliably charging $10,000+ per engagement, and bureaus actively court speakers in the $15,000–$20,000+ range. That is exactly why Eagles Talent, and especially BigSpeak, describe themselves as not for newer speakers.

Complaints worth knowing before you sign

From October 2025 reporting by Skift Meetings. None of these were pinned on a specific named bureau — it is industry-wide, not an accusation against any agency above. It is exactly what to ask about directly, and get in writing.

  • Undisclosed fee markup

    A bureau agrees on your fee with you (say $10,000), then quietly charges the client more (say $15,000) and keeps the difference on top of normal commission.

  • Cash “tips” requested by agents

    Separate from official commission, sent informally — the reporting mentions PayPal requests around $500 per booking.

  • SPIF-driven recommendations

    Recommending whichever speaker pays extra incentives, rather than whoever actually fits the event best.

  • Undisclosed referral incentives

    Steering speakers toward paid training programs the bureau has a financial arrangement with, without disclosing it.

  • Fabricated demo reels

    Paid actors as fake audience reaction shots, and now AI-generated footage simulating a stage the speaker was never on.

So which one should a new speaker actually pursue?

  1. 1

    NSA first, not last.

    If you are new, this is the starting point — not because it books gigs, but because it is where you build the credibility (the CSP path), the network, and the referral relationships that eventually get you noticed. $988/year is a real cost to weigh, but it is the one item built for someone starting out.

  2. 2

    Direct, self-booked engagements until your fee clears roughly $10,000.

    Build your own pipeline through referrals, your own site, and your existing network until you have a real paid track record, a demo reel with genuine footage, and ideally a published book — the three things BigSpeak names outright.

  3. 3

    Eagles Talent as a realistic first bureau relationship.

    Once you are past that point. Their submission process is open and non-exclusive by default, which matters: you can still book directly and work with other bureaus rather than locking yourself in before you know if it is a good fit.

  4. 4

    BigSpeak and A-Speakers as “they find you,” not “you apply.”

    Treat visibility — media coverage, a book, a strong existing bureau relationship, industry reputation — as the actual path in. BigSpeak says so directly; A-Speakers implies it by offering no application path at all.

Ask these before signing with anyone

  • What is your commission percentage, and is it the same number disclosed to the client?
  • Is this exclusive or non-exclusive representation?
  • Is there any upfront fee to be represented? (A real red flag if so.)
  • Who owns and can reuse my demo reel and bio material?
  • Do I retain the right to book directly, or does everything run through you?

Sources

Building your own speaking business? Browse the full Resource Hub or get in touch.