AI Keynote for Real Estate and Construction Leaders
From smart city projects to global property firms, Alex Goryachev equips leaders with tailored keynotes and workshops that transform how we build and live.
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Everyone's an "agentic AI expert." {Almost no one has run it}.
Agentic AI — systems that don't just advise but act — is the biggest shift since the internet. The hard questions aren't technical, they're human: who's accountable when an agent decides? How do you keep judgment in the loop as work gets autonomous?
Alex is the exception in a field of forecasters. As Managing Director of Innovation Strategy at Cisco he ran a $1.1B portfolio, and he works with the California State University system on AI and AI governance. Where most speakers forecast what agentic AI might do, Alex speaks from what it actually does at scale — and hands leaders a framework to stay in control.
The Agentic AI {Advantage}
Why Real Estate & Construction Leaders Trust Alex
What changes when AI stops advising and starts acting — and how leaders stay in control. The practitioner's view, backed by real enterprise deployment.
How Alex Delivers Real Estate & Construction Experiences that Drive Action
Anyone can deploy an agent; almost no one builds the human culture that makes agentic AI work at enterprise scale. Alex bridges both — because he's built both.
ALEX, BY THE NUMBERS
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Construction runs on schedules, margins and site safety, not software demos. Real estate runs on capital cycles and tenant demand. AI has to prove itself against those unglamorous realities before this industry cares what it can theoretically do.
Why real estate and construction is different
This industry has watched technology promises come and go, building information modeling, drones, smart building platforms, each arriving with big claims and a slower-than-promised payoff. Executives here have developed a healthy filter for anything pitched as transformative, and an AI keynote that doesn't acknowledge that history starts the conversation already behind.
The work itself is stubbornly physical. Construction schedules depend on weather, permitting, subcontractor coordination and site conditions that no model fully captures, and real estate decisions depend on local market dynamics that shift by submarket. Agentic AI's near-term value here sits in the paperwork and coordination layer, project scheduling, permit tracking, tenant communications, portfolio analysis, not in replacing the judgment calls made on a job site or in a lease negotiation.
There's also a generational and skills gap running through both industries. A workforce shortage in skilled trades sits alongside an aging leadership generation less comfortable with new software, while newer entrants expect digital tools as a baseline. Getting AI adoption right means building for both groups at once, not just the one closer to headquarters.
There's a sequencing insight worth adding here too: firms that start AI adoption in the coordination layer, scheduling, document management, permit tracking, build internal comfort and demonstrable wins before anyone asks AI to touch estimating or design decisions where the stakes and the skepticism are both considerably higher.
Developers and contractors in the same room often want different emphasis, one on portfolio strategy, the other on site-level execution, and a short discovery call ahead of the event lets Alex calibrate the balance to your specific audience mix.
What this keynote delivers
- A grounded view of where agentic AI actually reduces friction in scheduling, permitting and portfolio management
- A framework for evaluating AI and proptech claims against this industry's history of overpromised technology
- A way to bridge the adoption gap between skilled-trades workforces and digitally native newer hires
- A discussion of innovation culture that works inside project-based, subcontractor-heavy organizations
- An honest look at what AI still can't replace on a job site or in a lease negotiation
Why Alex for real estate and construction
Alex ran a $1.1B innovation portfolio at Cisco, giving him direct experience separating technology that changes a P&L from technology that just changes a demo, and he sells nothing from the stage.
Leadership teams that have sat through this talk describe the biggest shift as simply having permission to say no to a pitch that doesn't clear the bar, rather than adopting every tool that promises efficiency.
Frequently Asked Questions
What does an AI keynote for a real estate or construction conference cost?
Fees are five figures depending on format, with virtual sessions often under $20,000.
Can the keynote speak to both developers and construction operators in the same room?
Yes, the content is built to be relevant to both sides of the industry without assuming either group's technical depth.
Does Alex address the skilled-trades workforce gap directly?
Yes, the talk includes a practical way to think about AI adoption across a workforce with very different comfort levels with new technology.
How far ahead should we book for an annual industry conference?
Booking several months ahead is ideal, though Alex's team can often work with shorter timelines depending on the calendar.
Work with Alex
To bring this to your next real estate or construction event, get in touch through /contact.
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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 Cisco's former Managing Director of Innovation Strategy, he ran a $1.1B portfolio 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 alignment: 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 Cisco innovation executive, 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, not 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 — former Cisco Managing Director of Innovation — 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.
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