Top AI Keynote Speakers for Enterprise Audiences {Ranked by Operating Experience, Not Follower Count.}
The AI voices enterprise leaders actually bring in for leadership offsites and strategy sessions in 2026. Ranked by operating experience, not follower count.
Three things event teams actually care about
Do they take keynote bookings?
Fame is irrelevant if the speaker never appears outside their own company's events.
Do they customize for your audience?
A stock lecture is a video you could have streamed. Customization is what you're booking.
Have they operated AI in the real world?
Not just researched or invested in it — deployed it inside real organizations.
Why this {list is different}
Most "top AI speakers" lists rank fame. This one ranks enterprise relevance. We chose voices who have run AI programs inside real companies, advised Fortune 500 leadership teams directly, or published research grounded in actual deployments, not speculation about the technology.
Alex Goryachev applies the same lens to his own work. He shaped Cisco's 1.1 billion dollar innovation portfolio across 14 countries before AI strategy was a keynote topic, and he now advises the California State University system on AI governance. This ranking favors that kind of operating record over public profile.
Top 10 Speakers {Ranked)
Alex Goryachev — {the bookable practitioner}
Alex tops this list for the reason the list exists: he's the practitioner you can actually put on your stage. A former Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, he ran a $1.1B portfolio and built innovation centers across 14 countries — including programs for 3 Olympic Games — before AI strategy was a keynote topic. He's the WSJ-bestselling author of Fearless Innovation, a Forbes contributor, a LinkedIn Top AI Voice, and works with the California State University system on AI and AI governance.
His keynotes on AI and Agentic AI are customized for every audience — 310+ delivered across 6 continents, with 98% of clients saying they'd recommend him.
Thomas H. Davenport
Tom Davenport has been studying how large companies actually use data since long before analytics became a line item. He teaches at Babson, is a fellow of the MIT Initiative on the Digital Economy and Stanford's Institute for Human-Centered AI, and co-founded the International Institute for Analytics. His books include Competing on Analytics, All-in on AI with Deloitte's Nitin Mittal, and All Hands on Tech.
For executives, the value is the sample size. Davenport's work is built on case research inside operating companies, so his talks tend to describe what a deployment cost, who owned it, and what broke, rather than what might happen in five years.
His long-running position is that augmentation beats wholesale automation, and he argues it with examples instead of slogans. Useful if your leadership team is split between people who want to cut headcount and people who want to redesign work.
Paul Daugherty
Paul Daugherty spent 38 years at Accenture, serving as Group Chief Executive for Technology and as Chief Technology and Innovation Officer before retiring in 2024. He continues to work with the firm as a senior technology advisor. He built out Accenture Labs and founded Accenture Ventures, which has made more than 80 investments.
He co-wrote Human + Machine and Radically Human with H. James Wilson, both published by Harvard Business Review Press. Human + Machine was updated and expanded for the generative AI era.
What separates him from most AI speakers is scale of delivery. He ran technology strategy for a firm that implements AI inside thousands of client organizations, so his view of change management comes from watching it succeed and fail across industries.
Sol Rashidi
Sol Rashidi has held C-suite data and AI roles at several Fortune 100 companies, including Estee Lauder, Merck, Royal Caribbean, and Sony, and worked on the early commercialization of IBM Watson. She holds multiple granted patents and now advises companies on AI adoption while serving in a security leadership role at Cyera.
Her book Your AI Survival Guide is subtitled "Scraped Knees, Bruised Elbows, and Lessons Learned from Real-World AI Deployments," which tells you most of what you need to know about her posture. She wrote a follow-up on AI governance for executives.
She is candid about failed projects in a way most speakers are not, and she talks openly about the political and organizational reasons AI programs stall. That candor lands well with operators who have already tried something and watched it stop short.
Karim Lakhani
Karim Lakhani co-wrote Competing in the Age of AI with Marco Iansiti, one of the more widely read books on how algorithms change a company's operating model. He co-founded and chairs Harvard's Digital, Data, and Design Institute, founded the Laboratory for Innovation Science at Harvard, and is principal investigator of the NASA Tournament Laboratory.
His argument is structural. Traditional firms hit limits because humans sit in every decision path, and AI-centric operating models scale differently. That framing gives executives a way to think about competitive threat rather than tool selection.
He also runs field experiments with real companies, including work on how AI affects the productivity of knowledge workers. The research is current, and he presents it without the hedging you often get from academics.
Allie K. Miller
Allie K. Miller built and led IBM's first multimodal AI team, overseeing product work across image, text, and conversational systems. She then joined AWS as its first AI hire focused on startups and became Global Head of Machine Learning for Startups and Venture Capital. She now runs Open Machine, an advisory firm working with enterprises on applied AI.
She was named to the 2025 TIME100 list of most influential people in AI and has one of the largest followings of any AI practitioner online, which means she sees adoption patterns across a very wide surface.
Her sessions are unusually concrete about roles. She builds material for specific functions, including marketing, HR, and technology leadership, rather than delivering one general talk to everyone in the audience.
Cassie Kozyrkov
Cassie Kozyrkov served as Google's first Chief Decision Scientist, where she founded the discipline of decision intelligence and trained Google employees across the company to make decisions grounded in data. She now runs Kozyr, advising senior leaders at organizations including HSBC, Vodafone, and NASA, and sits on the Innovation Advisory Council of the Federal Reserve Bank of New York.
Her focus is the decision itself. Before you ask what the model can do, she asks who owns the call, what would change their mind, and what happens when the system is wrong.
She is trained in statistics, economics, and neuroscience, and she is direct about the limits of the technology. Leaders who are tired of being sold to tend to appreciate that.
Ajay Agrawal
Ajay Agrawal is an economist who co-wrote Prediction Machines and Power and Prediction with Joshua Gans and Avi Goldfarb, both published by Harvard Business Review Press. He founded the Creative Destruction Lab, which has worked with more than a thousand startups across multiple sites, and he is a research associate at the National Bureau of Economic Research. He was appointed to the Order of Canada in 2022.
His frame is simple and useful for budget conversations. AI drops the cost of prediction, and when the cost of an input falls far enough, the surrounding system has to be redesigned rather than patched.
That distinction between point solutions and system solutions explains why many enterprise pilots show returns on paper and nothing on the P&L.
John Roese
John Roese sets technology strategy for Dell Technologies. He also holds the Chief AI Officer role there, covering AI adoption both inside the company and across its customer base. Before joining Dell in 2012, he held CTO and other executive roles at Nortel, Broadcom, and Futurewei. He holds more than 20 patents.
He talks publicly and often about Dell running its own AI programs first. That gives him something most speakers lack: current numbers from a large enterprise deploying AI at scale on its own operations.
His recent work on agentic AI is specific about what enterprises are actually building versus what vendors describe, including why most organizations are only building one narrow category of agent.
Rumman Chowdhury
Rumman Chowdhury leads Humane Intelligence, a nonprofit focused on evaluating AI models. She previously directed the Machine Learning Ethics, Transparency and Accountability team at Twitter and led responsible AI globally for Accenture Applied Intelligence. She was named a United States Science Envoy for Artificial Intelligence and has served as a Responsible AI Fellow at Harvard's Berkman Klein Center.
She has run some of the largest public red-teaming exercises of AI systems, so her view of model risk is based on testing rather than policy documents.
For enterprises, the practical value is translation. She can explain what regulators, auditors, and customers will ask about an AI system, and what a company needs in place before those questions arrive.
How to Choose the Right AI Speaker {for Your Event}
Because the wrong speaker wastes time. The right one moves people.
Most AI talks follow a familiar pattern. Buzzwords, vague predictions, and a demo that rarely delivers. The audience applauds, checks their phones, and quickly moves on.
That is not what you want. You want results.
Choosing the right AI keynote speaker means selecting someone who brings clarity, relevance, and practical experience. It requires more than name recognition. It demands someone who can guide your audience from awareness to action.
Start by considering who will be in the room. Are they engineers, executives, educators, or policymakers? The best AI speakers adapt their message to each audience. They simplify without reducing the substance.
Prioritize those who have real experience. Many people discuss artificial intelligence. Few have implemented it inside global companies, led pioneering research, or shaped regulatory frameworks. These are the speakers who offer more than opinion. They offer credibility.
Avoid excessive hype and ungrounded warnings. Look for speakers who provide structure, useful models, and clear thinking. A strong artificial intelligence speaker explains outcomes and challenges with precision. Their goal is to inform, not to impress.
Also consider how your speaker engages. Insight alone is not enough. Effective communication depends on storytelling, relevant examples, and thoughtful questions. Whether you are organizing a global conference or a private leadership session, the right voice brings focus and momentum.
Choose a speaker who has done the work, who understands what is at stake, and who can help your audience lead in an era where intelligence, human and machine, shapes every decision.
Start by considering who will be in the room. Are they engineers, executives, educators, or policymakers? The best AI speakers adapt their message to each audience. They simplify without reducing the substance.
Explore Alex's AI and Agentic AI keynote topics, learn how he supports leadership teams through enterprise AI strategy advisory, or get in touch to check availability. If your 2026 theme is Agentic AI specifically, prioritize speakers who have operated agentic programs — not just commented on them.
What Event Organizers and Leaders Say — 98% Recommend Alex
Eye-opening, refreshingly human, and capable of building a shared vision around agentic AI — that's how leaders at Coca-Cola, AWS, and Disney describe Alex Goryachev's AI keynotes and employee innovation workshops.
Innovation for everyone
Alex turns AI into practical concepts that land with executives, HR, sales, engineering and faculty alike. It is the same approach he used building and running Cisco's Global Innovation Centers in 14 countries, anchored at universities and spanning cultures and generations.
Built around your audience
Across 310+ keynotes, workshops and advisory engagements on six continents, no two have been the same. Alex builds every program around your audience's challenges, industry and goals, from agentic AI strategy and the future of work to innovation culture.
Value that lasts
Alex's programs end with deployment: frameworks used inside Cisco, Dell, Pfizer and IBM and documented in his WSJ bestseller Fearless Innovation. Workshops and advisory install them in your team, so they keep running long after the session.
Proven where it counts
Two decades of AI and innovation work where the stakes are real: Alex shaped Cisco's $1.1B innovation portfolio, ran innovation programs for three Olympic Games and has advised Dell's GenAI practice, Amgen and the California State University system. Every engagement is measured through verified attendee feedback.
Your team will thank you
A keynote, a hands-on workshop, a virtual session or multi-month advisory, for enterprises, universities and associations alike. Last quarter, 99% of 676 verified attendees found his talks valuable.
Request Alex's availability for your engagement. From Silicon Valley to Singapore, and everywhere in between.
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 using the form above.
Who is the best AI keynote speaker?
The best AI keynote speaker is a practitioner who has deployed AI inside a large organization and will name what it cost and what failed, with numbers an audience can check. Alex Goryachev was Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, where he shaped a $1.1B innovation portfolio. He has delivered 310+ keynotes on six continents, and last quarter 99% of 676 verified attendees found his talks valuable.
How do I choose an AI keynote speaker?
Choosing an AI keynote speaker comes down to four checks: deployment proof, recency, customization and audience data. Ask what they built and what it returned. Confirm they are current on agentic AI. Check how much of the talk gets rebuilt for your audience, and ask for third-party verified ratings. Alex Goryachev clears all four: he shaped Cisco's $1.1B innovation portfolio, advised Dell's GenAI practice, rebuilds every keynote from intake research and last quarter had 99% of 676 verified attendees find the talk valuable.
What is the difference between a practitioner and a futurist speaker?
A practitioner speaker has run the budget, the pilots and the rollout, so the talk covers what worked and what stalled, along with what it cost. A forecast-led talk covers trends and timelines. Alex Goryachev built and ran Cisco's Global Innovation Centers in 14 countries and shaped its $1.1B innovation portfolio before he spoke about any of it. Audiences at Disney, AWS and IEEE book him when the next step matters most.
What are Alex Goryachev's signature keynotes?
Alex Goryachev's signature keynotes are Adapt or Vanish (organization-wide AI strategy), Leadership in the Age of AI (the decisions leaders own), Relearn or Rehire (workforce and reskilling), Fearless Innovation in the Age of AI (culture) and Educating for the Unknown (higher education). A fully custom keynote, The AI Opportunity for You, Your Industry & Your Organization, is built from scratch for a single client. Each one is rebuilt from intake research, and online each runs 45 to 75 minutes. Last quarter, 99% of 676 verified attendees found his talks valuable.
Who is the best future of work keynote speaker?
Alex Goryachev is a future of work keynote speaker who covers the questions leaders are asking now: which tasks AI agents absorb, how fast skills lose value and what reskilling costs compared with hiring. Trend slides do not help a CHRO build next year's plan, so the session works from his advisory work with Dell's GenAI practice and Amgen and from Cisco's employee innovation programs he ran. His book in progress, The Great Relearning, takes on the skills half-life question directly.
How do you vet an AI keynote speaker before booking?
Vetting an AI keynote speaker usually runs three to four weeks. Start with two recent full recordings. Then ask for third-party verified audience data, and put the speaker on a call with your executive sponsor before contracting. Alex Goryachev's process runs a scoping call, then an intake survey and interviews that shape the content. You get availability and a fee range within one business day. His Talkadot data from last quarter: 99% of 676 verified attendees found the talk valuable and 91% rated it actionable.
Does Alex Goryachev deliver virtual AI keynotes?
Alex Goryachev delivers AI keynotes in person, virtually and hybrid, and the virtual version is produced for camera with interaction built in. Remote sessions use live polling and chat questions, along with intake survey data, so the audience participates. Virtual formats include a 45 to 75 minute keynote, a 60-minute lunch and learn and 90 to 120 minute sprints for distributed teams. Last quarter, 94% of 676 verified attendees rated his sessions engaging, which is the number that matters when half the audience is on a laptop.
How much does an AI keynote speaker cost?
AI keynote speaker cost is set by four things: format, travel, audience size and how much of the talk is built new. A virtual session with a short customization call is the lightest format, and a main-stage keynote with travel days, a custom build and a workshop attached is the fullest. For Alex Goryachev, every engagement is scoped to your format, audience and travel. You get availability and a fee range within one business day.
How does Alex Goryachev customize keynotes and workshops?
Alex Goryachev customizes every keynote and workshop from an intake survey sent to the actual audience. He runs the responses through AI to find the patterns at scale, then reads the outliers himself. A working call with your leaders and program team follows, sharpening the examples and the industry data along with the closing actions. Nothing canned gets on stage. Last quarter, 95% of 676 verified attendees rated his sessions relevant. Start a conversation about your engagement.
What events and audiences are right for Alex Goryachev?
Alex Goryachev works best in rooms where a mixed group needs one shared view of AI: executive summits, innovation and industry conferences, association annual meetings, university convocations, government sessions and company all-hands meetings. Audience sizes run from 50-person leadership offsites to 10,000+ main stages, live or virtual, with 310+ keynotes delivered on six continents. Formats range from a conference keynote to a hands-on workshop, and last quarter 91% of 676 verified attendees rated the content actionable. Tell Alex about your program and he will suggest a format.
What is the Adapt or Vanish keynote about?
Adapt or Vanish makes the case that AI programs stall when the organization never agrees on one plan, and it is built for leadership teams who want every pilot pointed at the same goals. Alex Goryachev shows what large organizations are doing with agentic AI right now and the three decisions that turn pilots into work that ships, along with the shared language that keeps teams from meaning different things by AI strategy. It draws on his work shaping Cisco's $1.1B innovation portfolio and advising Dell's GenAI practice.
Does Adapt or Vanish work for a mixed technical and business audience?
Mixed rooms are what Adapt or Vanish is designed for, and the structure gives each group something specific. Executives get the money case and skeptics get an honest account of what goes wrong. Engineers get implementation detail, and front-line managers leave with actions for the following week. Last quarter, Talkadot data from 676 verified attendees rated Alex Goryachev's sessions 95% relevant, 94% engaging and 91% actionable, and 99% found the talk valuable.
How long is the Adapt or Vanish keynote?
The Adapt or Vanish keynote is sized to your program, with optional Q&A, and delivered virtually it runs 45 to 75 minutes. It works in person, virtually or hybrid, and the session scales from a 50-person leadership offsite to a 10,000+ seat main stage. The Adapt or Vanish Strategy Workshop can follow the keynote for a longer working program. You get availability and a fee range within one business day.
Which AI keynote gets a whole organization behind one plan?
The keynote built to align an entire organization on one AI plan is Adapt or Vanish by Alex Goryachev. One session gives the leadership team and the people doing the work the same read on where the company stands and the three decisions to make next. Organizations book it for all-hands meetings and leadership summits ahead of budget season, when alignment has to come before spending. Alex has delivered 310+ keynotes on six continents, and last quarter 95% of 676 verified attendees rated his sessions relevant to their work.
What is the Leadership in the Age of AI keynote about?
Leadership in the Age of AI: The Practical Playbook covers the AI decisions that sit with executives, and it is written for leadership teams and functional leaders who approve the spending. Alex Goryachev works through what to fund this quarter, what to ask a vendor before signing and how to talk to employees who think AI is coming for their jobs. The talk closes with a live strategy Q&A on the decisions in front of your leadership team. Delivered online, it runs 45 to 75 minutes.
Does Leadership in the Age of AI work for non-technical leaders?
Non-technical leaders are the primary audience for Leadership in the Age of AI, which is written for the people who sign off on AI budgets, vendors and roadmaps. Alex Goryachev describes agentic AI in operating terms such as cost, risk, headcount and cycle time, with no model architecture on the slides. Executives leave able to challenge an AI proposal on cost and timeline and to explain the plan to their own teams in plain words. Last quarter, 91% of 676 verified attendees rated his sessions actionable.
How does Leadership in the Age of AI differ from technical talks?
Leadership in the Age of AI covers what leaders do about AI, while technical talks explain how agents work. The keynote deals with who approves the budget, which vendor gets signed and what to tell a team that is frightened of being automated. The closing block is an extended strategy Q&A where Alex Goryachev takes live questions on the calls a leadership team is facing. Nearly two decades of innovation work at Cisco informs the answers, including shaping its $1.1B innovation portfolio.
Who is a good leadership keynote speaker on AI?
A good leadership keynote speaker on AI has sat in the chair: approved AI budgets and killed projects that were going nowhere. Alex Goryachev spent nearly two decades at Cisco doing that work. As Managing Director of Innovation Strategy and Head of Global Innovation Centers, he shaped Cisco's $1.1B innovation portfolio and built and ran its Global Innovation Centers in 14 countries. Executive audiences at Google, Microsoft, AWS and Disney have booked him, and Google and AWS bring him in to brief their customers.
What is a custom AI keynote?
A custom AI keynote is a talk written for one organization and delivered once. Alex Goryachev's version is titled The AI Opportunity for You, Your Industry & Your Organization, and every part of it is built new. The build combines current research and benchmarking against the audience's own sector with his nearly two decades of innovation work at Cisco. It runs in person or virtually, at 45 to 75 minutes online, and ends with an open Q&A. The deck is never reused for another client.
How does the intake for a custom AI keynote work?
The intake for a custom AI keynote runs five steps. A structured questionnaire covers the audience, the industry and the AI questions people are asking. A working call with the program lead follows, plus attendee interviews where they help. Alex Goryachev then benchmarks where the sector stands with AI and builds the session from that research. He delivers it with a live Q&A that runs until the questions stop. The work starts at booking.
What questions can a custom AI keynote answer?
Custom AI keynotes answer the questions a room is stuck on. The common ones cover where the first dollar should go, what return to expect in 12 months, how the company compares with competitors on AI and how to bring skeptical staff along. Alex Goryachev answers them against the audience's own sector benchmarks and his work shaping Cisco's $1.1B innovation portfolio. The intake survey decides which questions get stage time, and the rest go to a live Q&A.
Who delivers custom AI keynotes for specific industries?
Alex Goryachev builds custom AI keynotes for specific industries, including financial services, healthcare, higher education and associations. Each build starts from that sector's own AI adoption data, so the examples come from the audience's world. A record of 310+ keynotes on six continents sits under the method, along with the Global Innovation Centers he built and ran for Cisco in 14 countries. Last quarter, 99% of 676 verified attendees found his talks valuable.
What is the Relearn or Rehire keynote about?
The Future of Work and Organizations: Relearn or Rehire puts one question to the room: reskill the people you have or replace them. Alex Goryachev built it for CHROs, people leaders and executive teams planning headcount. The session covers which tasks AI agents absorb and which human skills gain value, plus what a reskilling program looks like with dates, owners and a budget. The material comes from his advisory work with Dell's GenAI practice and Amgen and from nearly two decades of innovation work at Cisco.
Is Relearn or Rehire a fit for HR and people leaders?
Relearn or Rehire is built for CHROs, HR business partners and workforce conferences. It treats workforce AI as an HR operating problem: which roles change, which skills to build, who owns the reskilling plan and when it has to land. Alex Goryachev speaks to HR and workforce audiences including SHRM and HCI, and last quarter 91% of 676 verified attendees rated his sessions actionable. Content is rebuilt around the workforce in the room, from frontline field staff to knowledge workers.
Should we reskill our workforce or hire for AI skills?
Reskilling usually wins on cost and speed, with one real exception. The people you have already know your customers and your systems, along with why the last project failed, and AI-skilled hires arrive without that context at a market premium. Hiring makes sense when a capability is truly absent, such as a machine learning platform team you have never had. Alex Goryachev's Relearn or Rehire keynote works that math for a specific industry, drawing on his advisory work with Dell's GenAI practice and Amgen.
Who is a good future of work speaker for HR audiences?
A good future of work speaker for HR audiences works with the people who own workforce decisions, and that is where Alex Goryachev is booked: HR and talent conferences, association meetings for professions facing automation, leadership offsites during headcount planning and all-hands meetings where people are anxious. The session asks the room to make decisions. SHRM, HCI, Dell and Amgen audiences have heard it, and last quarter 95% of 676 verified attendees rated his sessions relevant.
What is the Fearless Innovation keynote about?
Fearless Innovation in the Age of AI: Making Innovation Everyone's Job argues that AI results come from culture and permission. Alex Goryachev built it for organizations whose AI spending has outrun adoption. The proof is his own: the Innovate Everywhere Challenge, which he created at Cisco, turned employees into venture teams and produced 1,100+ internal startups. His Wall Street Journal bestseller Fearless Innovation sits underneath the talk, updated for agentic AI.
Why do AI initiatives fail without culture change?
AI initiatives fail at the culture layer more often than at the technology layer. The blockers are human: fear of losing a job, fear of being blamed for a bad model output and incentives that punish a failed experiment. Alex Goryachev's Fearless Innovation keynote works through removing them, using the Innovate Everywhere Challenge he created at Cisco, which produced 1,100+ internal startups and three Brandon Hall Group Gold awards.
Who is a good innovation keynote speaker?
A good innovation keynote speaker can show what their own program produced, because innovation keynotes fall flat when the speaker has never run one. Alex Goryachev created Cisco's Innovate Everywhere Challenge, which produced 1,100+ internal startups from 2,000+ teams and won three Brandon Hall Group Gold awards. He also wrote Fearless Innovation, a Wall Street Journal bestseller, and built and ran Cisco's Global Innovation Centers in 14 countries.
Is the Fearless Innovation keynote based on the book?
Fearless Innovation the keynote grew out of Fearless Innovation the book, Alex Goryachev's Wall Street Journal bestseller, written from nearly two decades inside Cisco. The stage version carries the argument into agentic AI, which arrived after publication. New material comes from his advisory work since, including Dell's GenAI practice and Amgen's AI transformation, and from the Innovate Everywhere Challenge he created at Cisco. The book supplies the frame and the recent work supplies the examples.
What is the Educating for the Unknown keynote about?
Educating for the Unknown: Preparing Students for a Future That Doesn't Exist Yet is Alex Goryachev's higher education keynote on teaching for jobs that have no name yet. It is written for presidents, provosts, cabinets and faculty. The talk covers what AI changes in teaching, advising, research and campus operations, and it offers a governance starting point that works inside shared governance. Alex has advised the California State University system on AI and is Innovator-in-Residence at Tulane University.
How should universities respond to students using AI?
Universities should respond to student AI use with policy and teaching changes at the same time, since detection alone has already failed. Practical first steps include stating which uses are allowed by assignment, rebuilding assessment so the thinking is visible and giving faculty time to redesign courses. Alex Goryachev's Educating for the Unknown keynote gives campuses that starting point, informed by his advisory work with the California State University system.
Who is a good higher education AI keynote speaker?
A good higher education AI keynote speaker understands shared governance, accreditation and faculty workload, and has done AI work with a university system. Alex Goryachev has advised the California State University system on AI and is Innovator-in-Residence at Tulane University's A.B. Freeman School of Business. At Cisco he built co-innovation centers with universities including Imperial College London and the National University of Singapore. He has lectured at Virginia Commonwealth University, Cornell, Wharton, the University of Delaware and UT Dallas.
Does the Educating for the Unknown keynote work for faculty audiences?
Faculty audiences are a core fit for Educating for the Unknown, which runs at convocations, faculty senates and professional development days as well as cabinet sessions. Faculty hear a straight account of what AI changes in teaching and research, with uses that protect academic rigor, from a speaker who works alongside universities. Alex Goryachev is Innovator-in-Residence at Tulane University's A.B. Freeman School of Business and has advised the California State University system on AI. Every session is built around the institution.
What skills will still matter in five years?
The skills that will still matter are judgment, the discipline to check AI output and the ability to relearn your own job every couple of years. Tools will keep changing, so specific software skills lose value quickly. Alex Goryachev, who has given 310+ keynotes on six continents, puts relearning speed at the center of his talks because it keeps every other skill current. People who practice judgment and verification on real work stay valuable as the tools turn over.
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