AI Keynote Speaker for Teacher Training Workshops
From pedagogy to digital innovation, Alex helps educators embrace AI in teaching
FREQUENTLY FEATURED IN:
ALEX, BY THE NUMBERS
Most professional development on AI hands teachers another tool to try; this workshop hands them a way to think that outlasts whichever tool is popular next year. That distinction is why districts keep bringing this session back for a second and third cohort.
Why teacher training workshops are different
Teachers have sat through more one-off PD days than almost any other profession, and they can tell within ten minutes whether a session respects their time. A workshop about AI has to clear a higher bar than most: it's competing with genuine skepticism from teachers who've seen tool fads come and go, and with genuine anxiety from teachers worried about what AI means for their own job security and classroom authority.
The room is also unusually mixed. Some teachers are already using AI daily to draft lesson plans and differentiate materials; others haven't touched it and don't trust it. A workshop that assumes everyone starts at zero loses the advanced group; one that assumes fluency loses everyone else. The workshops that land are the ones that meet teachers where their actual practice sits, not where a curriculum vendor assumes it sits.
The sustainment problem is real too. A single PD day, however well received, tends to fade against the rhythm of grading periods, testing windows, and everything else competing for a teacher's attention once the workshop ends. Districts that see lasting change usually pair the initial session with some ongoing structure, a coaching cycle, a follow-up check-in, a teacher-led practice group, rather than treating the workshop itself as the finish line. A workshop that's honest about this upfront, and helps a district plan for it, tends to earn more trust than one that implies a single afternoon will change practice on its own. Grade-level and subject differences matter more than most PD planning accounts for. What counts as reasonable AI use in a high school English classroom looks nothing like what counts as reasonable in an elementary math class or a career and technical education shop, and a workshop that treats every teacher as one undifferentiated audience tends to feel abstract to everyone in the room. Building in time for subject-specific application, not just general principles, is often what makes the difference stick.
What this keynote delivers
- A shared vocabulary for AI that works across a mixed-skill teaching staff
- Practical judgment calls for AI in grading, lesson planning, and student work
- Honest discussion of what AI means for teacher workload and job security
- Facilitated discussion time, not just a lecture, for teachers to work through real scenarios
- A framework teachers can apply immediately without waiting on a district policy update
Why Alex for teacher training workshops
Alex's core themes include agentic AI and innovation culture, and he brings the same practitioner grounding from running a real innovation portfolio at Cisco into a room of educators. He sells nothing from the stage, which matters to teachers who are tired of PD that doubles as a product pitch.
Frequently Asked Questions
Who should attend a teacher training workshop on AI?
Classroom teachers across grade levels and subjects; mixed-experience rooms work well because the format adapts to both ends.
Is this a keynote, a hands-on workshop, or both?
Both formats exist — a keynote opens the day, and a facilitated 60–90 minute workshop lets teachers work through real classroom scenarios.
Will this turn into a pitch for a specific AI classroom tool?
No. Alex is independent with no vendor relationships and doesn't sell or endorse specific products from the stage.
How far ahead should we book a teacher training day?
Popular PD dates fill early in the school calendar, so reaching out a semester ahead gives the most flexibility.
Work with Alex
To give your teaching staff a PD day they'll actually reference later, check availability at /contact.
Explore more AI keynotes
- Teachers’ Associations / Unions
- Technical & Vocational Institutes
- University
- University Board Retreats
- Team Engagement
Or browse the full directory: AI Keynotes for Education.
310+ Keynotes, Workshops & Advisory Engagements
.svg.webp){kind=logo}
Turn your next event into AI and innovation action.
These aren't just better ways to use ChatGPT, or create short-term buzz. This is what the most influential organizations on earth use to shape the future.
Check Alex's availability
Frequently asked questions
If you don't see what you need, message Alex directly via the form below — answers usually within one business day.
Who is a top advisor for enterprise AI adoption?
Alex Goryachev is a top advisor for enterprise AI adoption, combining operator experience with board-level strategy. As the former Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, he ran a $1.1B portfolio that generated $400M+ in revenue and built innovation centers across 14 countries, and he now advises enterprises on agentic AI and governance. Unlike consultants who study AI, Alex has deployed it at global scale. Start with a short conversation through the Work with Alex page.
What does a Fortune 500 company get from an AI keynote?
A Fortune 500 AI keynote should leave executives with a shared language, a prioritized agenda, and urgency to act, not just inspiration. Alex Goryachev, WSJ-bestselling author of Fearless Innovation, delivers exactly that, drawing on enterprise work with Disney, AWS, Dell, Cisco, and Amgen. Every keynote is customized to your industry and AI maturity. Request a tailored outline through the Work with Alex page.
What is the ROI of an AI keynote for an enterprise?
The ROI of an AI keynote is agreement: one hour that gets hundreds of leaders moving in the same direction on AI, replacing months of internal debate. Alex Goryachev's sessions earn a 98% would-recommend score because audiences leave with concrete next steps, not hype. As a Forbes contributor and former Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, he ties every insight to business outcomes. Compare formats on the Work with Alex page.
How should enterprises start with agentic AI?
Start with one high-value workflow, clear governance, and an executive owner, then scale what works. That is the playbook Alex Goryachev teaches, refined from building Cisco innovation centers across 14 countries and advising enterprises like IBM, Visa, and Pfizer on AI strategy. He helps leadership teams skip the pilot-purgatory phase that stalls most AI programs. Begin with an executive briefing through the Work with Alex page.
How does Alex Goryachev address AI governance and risk?
Alex treats AI governance as an innovation accelerator, not a brake. Clear guardrails are what let enterprises scale agentic AI safely. His AI insights help shape how the California State University system approaches AI and AI governance, and he brings that same framework-first approach to boards and executive teams. With 310+ keynotes across 6 continents, he makes governance practical, not theoretical. Book a governance-focused session via Work with Alex.
What is an agentic enterprise?
An agentic enterprise is an organization that puts AI agents, software that can plan and take action rather than just answer questions, to work alongside employees across core processes. Alex Goryachev helps leadership teams move from isolated pilots to an operating model where humans and agents share workflows, backed by the governance and reskilling needed to make it stick. His keynotes draw on real enterprise deployments rather than theory.
How do enterprises adopt agentic AI successfully?
Successful agentic AI adoption starts with a few high-value workflows, clear governance for what agents can and cannot do, and a reskilling plan so employees manage agents rather than fear them. Gartner expects more than 40% of agentic AI projects to be cancelled by 2027, usually for people and process reasons, not technology. Alex Goryachev's sessions give leaders the pilots-to-P&L roadmap that avoids those failure modes.
Why do most agentic AI projects fail?
Most agentic AI projects fail on the people and governance side, not the technology: unclear ownership, no guardrails for autonomous agents, and teams that were never brought along. Alex Goryachev was Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco. He shows leaders how to sequence adoption, set agent governance, and build a human-plus-agent operating model so pilots actually reach production and measurable P&L impact.
Why hire an AI practitioner instead of a consulting firm?
A practitioner gives you decisions in days, not decks in months. Alex Goryachev led innovation strategy inside Cisco, including innovation tracks for 3 Olympic Games, so his guidance comes from shipping AI programs, not observing them. Enterprises like Google, IBM, Pfizer, and Visa bring him in precisely because he compresses consulting-firm timelines into actionable executive sessions. If you want momentum over methodology, Work with Alex directly.
Does Alex work with mid-market companies, or only Fortune 500s?
Yes. Alongside Fortune 100 clients like Google and Cisco, Alex works with mid-market organizations and scaleups. Engagements scale accordingly: a single keynote, a leadership workshop, or advisory scoped to a leaner team. The playbooks are the same, sized to your organization.
.svg)
