Artificial Intelligence & Generative AI speakers
Artificial intelligence is changing how organisations operate, compete and make decisions. Speakers Associates can help you find an AI keynote speaker or artificial intelligence speaker, as well as expert-led training and workshops that help your people understand what the technology means and use it effectively.
Speakers Associates represents 356 speakers on Artificial Intelligence & Generative AI, including Kemal Apaydin, Olivier Sibony, Rahaf Harfoush, Purna Virji, Itai Green, Limor Ziv, Tom Goodwin, Daniel Trabucchi & Tommaso Buganza, Jennifer Willey and Katja Schipperheijn.
Read more about Artificial Intelligence & Generative AI speakers
For a conference, leadership retreat or all-hands, an AI keynote speaker can give your audience a clear view of what is changing, which developments matter and where artificial intelligence can create practical business value.
A keynote is only one option. If your priority is adoption, implementation or better use of the technology across your organisation, a workshop or training programme may be more useful. AI training for employees, AI training for executives and tailored programmes can be brought to focus on your own teams, workflows and business priorities.
The aim is not to make every delegate a technical specialist. It is to help people make informed decisions about where artificial intelligence and generative AI can improve productivity, strengthen existing work and create new opportunities.
Boards approve strategies that look rigorous on the deck and fail in the market. The same executives, looking at the same evidence, reach different conclusions on different days, and nobody notices. Most decision processes are built to confirm what senior leaders already believe, not to surface where their judgment is wrong.
Incumbents in the Middle East are no longer being disrupted only by Silicon Valley. The threat now comes from regionally funded, regulator-aware digital challengers that understand local payments, language and consumer behaviour better than any global entrant. Most regional boards still treat innovation as a corporate venturing line item, not as an operating decision about where the business will compete in five years.
Brands win attention by buying it. They win loyalty by earning a place in the culture their customers already live in. Most marketing organisations are structured for the first job and underpowered for the second, which is why category leadership now turns less on media weight than on whether a brand can move at the speed of culture without losing commercial discipline.
Most digital transformation programmes stall between strategy decks and operating reality. Leadership signs off the vision, technology arrives, and the workforce keeps doing what it always did. Closing that gap requires translating digital ambition into the daily behaviour, sequencing, and skills the rest of the organisation can actually execute.
Most Western boards make capital allocation and supply chain decisions about China using mental models that are a decade out of date. The country has moved from copying Western products to setting the innovation standard in whole categories, while its political and economic logic remains opaque. The result is a steady stream of strategic misjudgements at the moment when getting China right matters most.
Digital transformation programmes routinely stop at the edge of the human body. Leadership teams know identity, authentication, health data, and workforce capability are converging into something more intimate than a mobile device, but they have no shared language for what that means for products, security policy, or talent. The question is not whether human augmentation arrives in serious organisations, but how a board prepares for it without becoming either dismissive or naive.
Most organisations are better at deploying AI than at using it. The workflows, decision habits, and cultural defaults of the existing organisation stay intact long after the new tools arrive. That gap between technical implementation and behavioral adoption is where most transformation investment is quietly lost.
Five generations now share offices, customer bases, and management lines. Each was shaped by a different economy, a different technology stack, and a different idea of what work is for. Leaders are being asked to engage all of them at once, and the old playbook assumes one workforce, not five.
Most large companies can run innovation labs. Few can turn them into commercial advantage. The gap between emerging technology and a working operating model is where boards lose ground to faster competitors.
Most boards struggle to separate technological hype from technological reality. They invest heavily in fashionable platforms that fade, and miss the engineering signals that reshape an industry years in advance. The cost of that misjudgement is rising as AI, cybersecurity and connectivity converge.
Most leadership teams plan in linear increments while the technologies reshaping their industry compound exponentially. The gap between the speed of internal decision making and the speed of external change is where incumbents lose. The question is no longer whether to act on AI, robotics, biotech and space, but how to redesign the operating model so the organisation can place serious bets without breaking itself.
Most large organisations are built to deliver predictable results. That design becomes a liability when disruption is the operating climate rather than a passing storm. Budget cycles, governance structures, and executive incentives all protect today’s business model, often at the direct expense of the next one. The companies that get displaced are rarely short of resources. They are short of the architecture to reinvent continuously while still running the core.