Iliya Rybchin is a seasoned AI & innovation strategist who brings clients a unique blend of consulting, operating, entrepreneurial, and investing experience spanning 25+ years. He focuses on turning corporate inertia into offensive growth strategies. His expertise comes from leading innovation labs, R&D groups, corporate strategy teams, and business development at some of the world’s most innovative companies. He has run complex P&Ls, built disruptive products, filed multiple patents, and invested in early-stage startups. A Carnegie Mellon graduate in Information Systems and Decision Science (AI), he regularly speaks at conferences and writes for leading publications on strategy, innovation, and disruption.
Recently, in an exclusive interview with CIO Magazine, Iliya shared insights into his passion for helping businesses navigate disruption and innovation, highlighting the importance of embracing change and leveraging emerging technologies to drive competitive advantage. He also shared his personal hobbies and interests, future plans, words of wisdom, and much more. The following excerpts are taken from the interview.
Hi Iliya. What drives your passion for helping businesses navigate disruption and innovation?
It’s less about a passion for technology itself and more about a fascination with the human drama of it all. I’ve always been drawn to the collision point – where new technologies smash into old, entrenched business models. That’s where you see the most brilliant successes and the most spectacular failures.
For 25 years, I had a front row seat to watch incumbents with every advantage (capital, brand, distribution, talent) get destroyed by startups working out of garages. The frustrating part is that it’s rarely about the technology.
Every few years there’s a new buzzword (digital, mobile, SaaS, cloud, blockchain, Web3, and now AI). The instinct is either panic (“We must do something immediately”) or denial (“This will blow over”).
The tech is always the easy part. The difficulty companies face is separating signal from noise, too much organizational inertia, too many sacred cows, and an addiction to “innovation theater”.
My passion comes from a deep-seated impatience with that kind of waste. I get a huge amount of satisfaction from helping a team move past the buzzwords and PowerPoints to make a few, critical decisions that unlock real, tangible value.
I believe that companies have all the assets they need to win. They just need someone willing to tell them uncomfortable truths and help them exploit their advantages before it’s too late.
When companies make that mindset shift, they realize that disruption stops being something that happens to you and becomes something you can harness. That shift (from fear to agency / from defense to offense) is why I keep doing this.
What do you love the most about your current role?
First, I get to work at the intersection of messy reality and big ambition. I love being a strategic sparring partner for executives across a wide range of industries and asking difficult and sometimes uncomfortable questions. I get to connect dots that most people can’t see. The most impactful solutions happen at the intersection of data, strategy, emerging technology, new business models and hands-on execution, and I get to bring that to my clients every day.
Second, I have the freedom to be intellectually honest (and sometimes a bit of a provocateur). My background spans consulting, operating roles, entrepreneurship, and investing across multiple industries. That diversity of experience lets me spot patterns and opportunities that specialists miss. My experience also guarantees that I’m not married to a single playbook. Sometimes the right answer is “build,” sometimes it’s “partner,” sometimes it’s “stop doing this entirely.” My role lets me say that out loud.
On a human level, I genuinely enjoy helping smart, successful leaders see around corners, and occasionally helping them sleep better at night because there is a path forward that isn’t just cutting costs. It’s a privileged position that is incredibly rewarding.
What are some common pitfalls or mistakes you see businesses making in their approach to disruption and innovation?
I think the first mistake is confusing activity with progress. Companies stand up innovation labs, run hackathons, launch AI task forces, appoint senior leaders to run the initiatives, and launch pilots across every business unit. Everyone is busy and it looks great on a press release or in an annual report. However, very little is actually changing and the business impact is close to zero. Some call this “innovation theater,” I usually refer to it as “innovation as cosplay” because looking the part is top priority, but under the costume, nothing has changed. Innovation cosplay is easy and fun but capitalizing on disruption is difficult, messy, unsexy, and doesn’t get much attention.
Second, there’s a tendency to outsource thinking. Firms hire vendors or big consultancies and essentially say, “Tell us what to do.” External perspectives are valuable, but if you don’t build your own muscle for making hard trade-offs, you end up with beautiful slides and no ownership.
Third, many organizations treat disruption as an edge experiment rather than a core strategy question. You can’t “experiment” your way out of a broken business model while protecting every legacy metric. At some point, you have to be willing to cannibalize parts of your current business to create the next one.
Finally, and in many cases, most importantly, is a people pitfall: under-investing in talent that can bridge business, technology, and change. This isn’t a matter of training – many of the slowest moving corporate dinosaurs have extensive training programs. It’s more about finding, hiring, mentoring, and rewarding the right talent. These days companies need translators – leaders who can speak JSON and EBITDA in the same sentence. Too often those people are either missing or buried three levels down.
Can you share some insights on how businesses can leverage emerging tech to drive competitive advantage?
I’ll begin with a critical mind shift senior executives need to make: Stop viewing technology as a back-office support function.
For years, IT was perceived as being there to keep the lights on. Store the data, run the email servers, host the website, connect the offices, etc. Today, technology is an offensive weapon. The right application of technology can completely change the basis of competition in an established industry.
When working with emerging tech, start with a wedge, not a wish list. Instead of asking, “What can we do with AI or data (or whatever the new thing is)?”, start with one or two very specific, ambitious, high-value problems: a stubborn cost bucket, a broken customer journey, a slow decision cycle. Then ask, “If we had an unfair technology advantage here, what could we do that our competitors can’t easily copy?”
Emerging tech creates advantage when it does at least one of three things for you:
Changes the economics – you can deliver something dramatically cheaper or faster.
Changes the experience – customers feel something meaningfully better – not just marginally improved.
Changes the clock speed – you learn, adapt, or launch new offerings faster than the market.
To achieve these advantages, companies must stop trying to “digitize” their old process. They should use emerging technology as an excuse to dismantle that workflow, reimagine it, and rebuild it from the ground up. Emerging technology allows an established company to weaponize its advantages. Incumbents have assets startups would kill for (customer relationships, distribution, scale, data, etc.). Companies can use emerging tech to weaponize these dormant assets.
– Can your brand become a new platform?
– Can your customer data power entirely new businesses?
– Can your supply chain become a service you sell?
The other insight is organizational: you need parallel tracks. Let the core business apply tech for efficiency and risk reduction – that’s important. But create small, empowered teams that use the same tech to build net-new offerings, pricing models, and partnerships. Most competitive advantage comes from that second track, not from automating the status quo.
Finally, anyone who knows me has heard me rant about this for the last decade… the CFO needs to be the Chief Innovation Officer. CFOs have been seen as the enemy of innovation because they often cut those budgets. However, CFOs don’t hate innovation, they hate wasted spend. CFOs are desperate for the growth that comes from effective innovation and are willing to invest. When you couple the agility of emerging tech with the financial discipline of a CFO, you stop playing games and start generating ROI. There is an abundance of data that shows that transformations which report into or have direct oversight by the CFO are significantly more likely to succeed than those that do not.
Can you share a book or resource that inspires you and why?
How to Lie with Statistics by Darrell Huff.
I first read the book in my college statistics class. I can’t recall anything else I read in college that had as much of an impact on me. For years, I had a framed copy hanging in my office.
It’s a thin, almost playful book (barely bigger than a pamphlet). Although it was written many decades before I was born, it’s more relevant today than ever. I re-read it regularly because it reminds me to stay focused on truth.
I live in a world where charts, models, and dashboards are constantly used to justify decisions. The book is a reminder that you can be mathematically correct and still tell the wrong story. You can choose the wrong baseline, hide the variance, cherry-pick the timeframe, or present a median instead of a mean when discussing average and suddenly you have a very different story.
In the age of AI and big data, we are drowning in numbers and the ability to manipulate statistics has only gotten easier. Companies, consultants, politicians, and media have taken the dark arts of data manipulation to unprecedented levels. Simply saying “the data is accurate” or citing a credible source is not enough.
Numbers without narrative are meaningless. Narrative without numbers is fiction. For me, the gold is always numbers + narrative. The data should be right and the story should be truthful. The most powerful insights come from combining numerical rigor with a deep understanding of context
The book is a reminder of the importance of being intellectually honest about what the data actually says, not what you wish it said.
What is your favorite quote?
“Not all the smart people work for us” by Bill Joy.
Aside from being someone I deeply admire, Bill Joy’s quote captures a powerful truth about collaboration and humility. It sounds obvious, but it’s quietly radical – a reality check on corporate arrogance.
Companies try to stockpile people and IP as if they can hoard talent and monopolize genius. But it’s mathematically impossible. There’s a far greater probability that more brilliant people and genius ideas exist outside your company than inside. Rather than building moats and walls, companies should seek insight wherever it exists and collaborate. This mindset led Bill Joy to help create open source, which transformed technology.
In the age of AI, this principle matters even more. Today, no company can build a wall high enough to keep innovation out or information in. Instead of building walls, companies should be building bridges The companies that will thrive are the ones that recognize AI democratizes access to capabilities – and the winners will be those who collaborate openly, learn faster, and integrate external intelligence, rather than trying to own everything internally.
What are some of your passions outside of work? What do you like to do in your time off?
I’m a family guy first. My wife and two boys keep me grounded and they make sure to remind me of my nerdiness on a daily basis.
My wife and I just became empty nesters with both kids in college. That transition has been strange and wonderful.
This gives me more time to exercise my imagination by pretending I can play golf, imagining I can still compete in tennis, and pretending to be a downhill skier. When not imagining things, I enjoy cooking, and like a true geek, I obsess over the chemistry and science of the ingredients, experimenting with recipes, trying to reverse-engineer a dish I had at a restaurant.
What is your biggest goal? Where do you see yourself in 5 years from now?
Professionally, my goal is to build a distinctive, AI-native advisory firm and body of work that genuinely helps leaders navigate the next decade of disruption – not with hype, but with clarity and courage.
Five years from now, I’d like to look back and see three things:
A strong portfolio of outcomes – companies that not only survived disruption but used it to create new businesses, new revenue streams, and better experiences for their customers.
A recognized point of view – articles, talks, and frameworks that help executives think differently about innovation – not just do it faster.
A talent engine – the next generation of contrarian leaders I’ve mentored who think from first principles and bring a healthier, more honest approach to technology and change.
On a personal level, I want to still be curious, still learning, and still having fun with this work. The moment it becomes purely mechanical, I’ll know I’ve drifted away from the thing that motivated me in the first place.
What advice would you give to someone looking to transition into a leadership role in business or technology?
I’ve been fortunate to have had amazing mentors over my career. My advice is a combination of what I was taught by these mentors and the personal experiences I had during my career.
– Become an expert generalist, not just a specialist. The highest-impact contributors aren’t people with deep knowledge in one area. They’re people who can connect dots across domains. Read outside your field. Work in different industries. Move around between companies. The collision of ideas from different contexts is where innovation lives.
– Get uncomfortably close to the economics. Whether you’re in product, engineering, marketing, or operations, understand how money is actually made and lost in your business. Dissect the P&L. Digest every dashboard and financial statement you can get your hands on. Ask how your work shows up in gross margin, churn, or cash flow. Learn to tie everything you do to financial outcomes for the business. Leaders who can effectively connect technology decisions to business are very rare and very valuable.
– Develop the ability to tell uncomfortable truths with confidence and evidence. Practice communication as a craft. You don’t need to be a TED speaker, but you do need to be able to write and talk clearly about complex topics in a way people notice. Don’t just repeat the corporate jargon. Leaders who only tell people what they want to hear don’t lead – they follow. Your value comes from seeing what others can’t or won’t see and having the courage to communicate it eloquently – with data, logic, and a compelling narrative.
– Start leading before you get the title. Leadership is a behavior, not a box on an org chart. Nothing magically happens the day you get promoted, you are the same person you were before the promotion, with just different words on the business card. Seek out projects, not just promotions. Volunteer to own ambiguous problems, connect people who don’t usually talk, and be the person who moves things from “we should” to “we did.”
– Stay humble and curious. The half-life of expertise is shrinking rapidly. The people who thrive in leadership roles are the ones who can say, “I don’t know yet, but I’m willing to learn faster than anyone else – and I’m willing to learn from anyone, anywhere, and anytime.” Every moment of the day is an opportunity to learn.