AI Keynote Speaker for Future of Work Roundtables
From global trends to organizational strategy, Alex leads meaningful roundtable discussions
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What does your leadership team actually agree on when it comes to AI and the future of work, once you push past the shared slide deck? Usually far less than anyone assumed, and a roundtable is the format built to surface that gap in real time rather than let it stay comfortable and unspoken.
Why future of work roundtables are different
Roundtables demand something a keynote audience never has to offer: participation. Every person in the room is expected to have a position, defend it, and hear it challenged, which means the conversation can't run on borrowed hype or safe generalities the way a passive talk sometimes can. Leaders who normally speak in confident certainties about AI and jobs get asked follow-up questions they haven't had to answer out loud before.
The topic itself carries real personal stakes for the people in the room. Talking about AI's effect on jobs is never purely academic when the people discussing it also manage headcount, budget, and their own careers. A roundtable that pretends this is a neutral, abstract topic misses why people are actually guarded in the conversation, and misses the chance to get past the guardedness into something useful.
There's often a generational split in the room that shapes the entire conversation without anyone naming it directly. Leaders who built their careers before AI tend to frame the conversation around loss, what's changing that they'll have to relearn, while leaders earlier in their careers tend to frame it around opportunity, what becomes possible that wasn't before. Neither framing is wrong, but a roundtable that lets one dominate misses the tension that's actually useful to surface. Naming that generational gap directly, rather than letting it play out unspoken, tends to produce a sharper conversation. Industry context shapes how personally this conversation lands. Leaders in industries already deep into automation carry different instincts than those in still-manual, people-heavy sectors, and a roundtable that assumes uniform starting context across industries tends to flatten a conversation that would otherwise surface genuinely useful disagreement. Facilitation that draws out those industry-specific starting points first tends to produce sharper discussion once the group moves to shared themes.
What this keynote delivers
- A structured way to surface where leaders genuinely disagree about AI and the future of work
- An honest, non-hyped read on what's actually changing in how work gets done
- Facilitation that keeps a personally sensitive topic productive rather than guarded
- A framework participants can use in their own teams after the roundtable ends
- Room for dissent that a standard keynote format doesn't usually allow
Why Alex for future of work roundtables
The future of work is one of Alex's core themes, developed through running a real innovation portfolio rather than commentating on labor trends from the outside. He's a LinkedIn Top Voice and has been featured in Forbes and The Wall Street Journal for exactly this kind of grounded perspective.
Frequently Asked Questions
How is a roundtable format different from booking Alex as a keynote speaker?
A roundtable trades a prepared talk for facilitated discussion, with Alex guiding rather than presenting for the full session.
Will participants be pushed to defend positions on sensitive job-related topics?
Gently but directly — that tension is where the useful insight usually surfaces, handled with enough structure to stay constructive.
What size group works best for a future of work roundtable?
Smaller groups of 8–20 tend to work best; larger roundtables usually split into facilitated smaller pods.
Can this run virtually for a distributed leadership team?
Yes, virtual roundtables are a regular option and are often available under $10,000.
Work with Alex
To find out what your leaders actually agree on about the future of work, book a roundtable at /contact.
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Who is a top advisor for enterprise AI adoption?
Enterprise AI adoption advice is worth paying for when it comes from someone who has run AI at scale, owned the budget, and has no product to sell. Alex Goryachev meets that test. As former Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, he ran a $1.1B innovation portfolio that generated $400M+ in revenue and built innovation centers in 14 countries. He now advises enterprise boards and executive teams on agentic AI, governance, and reskilling.
What does a Fortune 500 company get from an AI keynote?
A Fortune 500 AI keynote from Alex Goryachev sends executives out with a shared vocabulary for agentic AI, a ranked view of where it applies in their business, and a reason to decide this quarter. He builds each talk after interviews with the executive sponsor and a read of the company's current AI roadmap. He has done this for audiences at Disney, AWS, Dell, and Amgen. Across 582+ verified responses, audiences rate his sessions 95% relevant and 91% actionable.
What is the ROI of an AI keynote for an enterprise?
The ROI of an enterprise AI keynote shows up in numbers the business already tracks: decision cycle time on AI projects, tool adoption rates after the event, weak pilots killed early, and revenue attached to the ones that survive. Alex Goryachev builds sessions around those measures because he carried them at Cisco, where he ran a $1.1B innovation portfolio that generated $400M+ in revenue. Agree on the two metrics you will track before the date is booked.
Which workflows should enterprises give to AI agents first?
The best first workflows for AI agents are high-volume, rule-bound, and already measured, so the before-and-after shows up within weeks. Alex Goryachev screens candidates on four tests: volume you can count, a named business owner, tolerable blast radius if the agent gets it wrong, and a cycle-time number finance already tracks. Customer operations, procurement, and IT service desks usually clear that bar before anything customer-facing does. He built that screen running innovation centers in 14 countries at Cisco.
How does Alex Goryachev address AI governance and risk?
Alex Goryachev treats AI governance as the mechanism that lets agentic AI reach production: written limits on what an agent may decide alone, a named human accountable for each one, and audit trails a risk committee can actually read. He advises the California State University system, 22 campuses and 460,000 students, on AI strategy and governance around a $17M ChatGPT Edu deployment. Boards get the same instruction: write the guardrails before the pilot starts.
What is an agentic enterprise?
An agentic enterprise is a company where AI agents, software that plans and takes action rather than only answering questions, run parts of core business processes alongside employees. Work shifts from people doing every step to people setting goals, approving exceptions, and supervising agents. Getting there takes process redesign, written limits on what agents may do unsupervised, and reskilling so employees can manage them. Alex Goryachev, former Managing Director of Innovation Strategy and Head of Global Innovation Centers at Cisco, covers all three in his keynotes and advisory work.
How do enterprises adopt agentic AI successfully?
Successful agentic AI adoption starts small and stays measured. Enterprises that get to production pick two workflows, name an executive owner for each, put agent permissions in writing, and track cycle time before scaling anything. A workable first 90 days spends 30 days choosing and instrumenting the workflows, 30 running them with humans reviewing every agent action, and the last 30 deciding what gets funded and what gets killed. Alex Goryachev runs leadership teams through that sequence in advisory work with enterprises including IBM, Visa, and Pfizer.
Why do most agentic AI projects fail?
Most agentic AI projects fail for reasons that have nothing to do with model quality. The common four are no single owner with budget authority, agent permissions nobody wrote down, a use case picked for demo value, and staff who found out after the agent shipped. Gartner expects more than 40% of agentic AI projects to be cancelled by 2027. Alex Goryachev names each failure mode on stage, drawing on the $1.1B innovation portfolio he ran at Cisco.
Why do enterprises hire a practitioner over a consulting firm?
Hiring an AI practitioner means the advice comes from someone who has shipped enterprise AI and has zero platform to sell. Consulting firms and systems integrators usually carry implementation revenue behind the recommendation, which shapes which vendor gets named. Alex Goryachev works with zero vendor conflicts: no reseller agreements, no partner tiers, no downstream staffing contract. Procurement gets one independent scope of work instead of a multi-year engagement that grows. Enterprises including Google, IBM, Pfizer, and Visa have brought him in.
Does Alex work with mid-market companies, or only Fortune 500s?
Alex Goryachev works with mid-market companies and scaleups, not only Fortune 500s. Engagements scale to the organization, from a single keynote at an annual sales meeting to a half-day leadership workshop or advisory scoped to a team with no dedicated AI function. Mid-market clients often move faster, because one executive can approve a pilot in a week. Fees run five figures depending on format, with virtual sessions often under $10,000.
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