Speaking at AI conferences: How to get on stage with your AI topic

You get onto an AI conference stage with a talk that shows what AI achieved in a real company, submitted to the type of conference where your clients sit. AI is the topic with the most submissions, which is why programme committees reject general overviews and favour experience reports with figures, costs and mistakes. Besides dedicated AI conferences, many industry conferences now open their own AI tracks, and competition there is smaller. This article explains the types of conference, what committees expect and the route to the stage.

What types of AI conference are there?

AI conferences fall into four types: academic conferences, technical conferences for developers and data engineers, business summits for executives, and the AI tracks of industry conferences. For anyone who wants to win clients from the stage, these types differ in their audience, in the route to acceptance and in what an appearance brings in business terms.

Academic conferences such as NeurIPS collect research papers that go through peer review, meaning other researchers assess them before acceptance. What counts there is a new result with method and experiment, and a practical report from a consulting project has no place in that process. Technical conferences such as Minds Mastering Machines address professionals who build and run models, and almost always fill their programme through a call for papers, the public call through which a conference collects talk proposals. What convinces here is showing how something was solved in production.

Business summits such as World Summit AI bring together decision makers from companies who want to know what AI changes in their organisation, what it costs and how adoption succeeds. These events fill part of the programme by invitation and part by application, and a further part comes from paid speaking slots. The fourth type is the AI tracks at conferences for HR, marketing, finance, procurement or manufacturing. Their audience wants to use AI in its own field, and for consultants this is usually the stage with the highest density of potential clients.

The first two figures come from our analysis of 2,415 conferences that publicly advertise speaking slots for 2026. AI and data form the largest group there after general topics, ahead of cloud and DevOps. The third figure comes from a survey by the German digital association Bitkom of 604 companies with at least 20 employees in summer 2025; a year earlier the share was 20 per cent. With this jump, demand grows for talks that show how adoption works in everyday business.

What do programme committees at AI conferences accept?

Programme committees at AI conferences accept talks that report on a system in use, with figures on benefits and costs and with the mistakes made along the way. The programme committee is the group of experts who read the submissions and put the programme together. On AI it receives more proposals than on any other topic, and many of them explain in general terms what language models can do and why companies should act now. A committee rejects such proposals, because its audience has heard that message in many versions already.

Accepted proposals show something the room does not yet know. That includes experience reports on the path from prototype to production, comparisons of approaches with measured results, the costs of an application after a year in operation, and candid reports on a project that failed because of data quality or staff acceptance. A committee recognises such proposals by a concrete title, a solid figure in the abstract and a benefit the audience takes back into its own work after the session. The abstract is the short description of the planned talk that the committee reads.

A second factor decides many submissions: the line between expertise and advertising. A striking number of vendors submit to AI conferences when they really want to show their product. Committees reject proposals with a tool name in the title and a benefit that only that tool can deliver. Where the line between an expert talk and a sales pitch runs is described in the article on expert talks and sales talks.

Why AI topics age faster than other talk topics

An AI talk ages faster than almost any other talk topic, because new models and tools appear between submission and appearance. In our analysis the median gap between the close of a call for papers and the start of the conference is 50 days, plus the weeks in which the abstract is written and submitted. An abstract built on a specific model version often describes, by the day of the talk, a state the audience considers outdated.

Experienced speakers therefore build their AI talks around a question that stays valid across several model generations: how a company measures benefit, how it involves business units, how it limits errors in production. The specific tools appear as examples and can be swapped until shortly before the talk. Programme committees value this, because such a talk still feels fresh on the day.

The fast pace has a second consequence. AI conferences appear and disappear faster than conferences in established fields, and many industry conferences introduced their AI tracks only recently. Finding stages for an AI topic therefore takes a continuously maintained overview that goes beyond the well known names. How such a search works is described in the guide to the call for papers.

How do you get onto an industry conference with an AI topic?

You get onto an industry conference with an AI topic by framing it from the perspective of the field the conference serves. An HR conference is looking for a talk on how a company used AI to process applications faster and what the works council said about it, and a talk on language models as such will not get in. The committee of such a conference judges whether the topic helps its audience in their daily work, and the technology is the background.

For you this route has two advantages. Competition is smaller, because far fewer experts apply for the AI track of a procurement conference than for an AI summit. The room is also full of people who have to introduce AI in their area and are looking for support, in other words the clients of an AI consultancy. In our experience, a talk in front of thirty procurement managers brings a consultant for AI in procurement more conversations than a talk in front of five hundred mixed guests at a large summit.

This route does take work, since every industry conference requires its own version of title, abstract and examples, and many of them fill their slots through recommendation or direct approaches to the organiser. If you can serve five industries, you need five versions of your talk and a list of the conferences in each industry.

What does a speaking slot at an AI summit cost?

A paid speaking slot at a large AI summit quickly costs 10,000 euros and more for a single slot. This model is called pay to speak: the slot is part of a sponsorship package, and the company buys its way into the programme. Many of these sessions are not marked as sponsored in the programme, and audiences often recognise them by their content anyway, because they sit closer to the product than talks from the call for papers.

At most industry conferences, by contrast, a programme committee decides on open calls, and the slot costs you nothing beyond preparation and travel. For consultants this is the stronger route, because a committee's selection confirms the credibility of the talk, and because a single contract from one appearance is worth more than the price of a sponsorship package. What pay to speak involves in detail is covered in the article on whether you have to pay for the stage.

Who gets you on stage with your AI topic?

A speaker agency for experts gets you onto the stages where your clients sit with your AI topic and takes on the work between idea and acceptance. Stage Starter does this work for you: we find the right calls, write the submission and submit it. That includes tailoring your talk to each type of conference, continuously searching for AI tracks in your clients' industries and following up until acceptance. You contribute your expertise and approve the talk and abstracts once before the start.

With our submissions for clients we reach up to 19 per cent acceptances per conference, while 5 per cent at most is usual in the market at this volume of submissions. The basis is 2,189 submitted abstracts and around 22,700 conferences in our database, with around 1,500 open calls for papers on the reference date. At a rate of 19 per cent per conference, the chance of at least one acceptance across ten conferences works out at around 88 per cent. No agency can guarantee an acceptance itself, since the programme committee decides. If you already advise on AI, the article on the speaker agency for AI consultants covers the approach for this group.