AI Strategy and Research – Róth's Dual Strength
Miklós Róth brings dual strength in AI Strategy and Research, helping companies turn information into clear, actionable business decisions with a practical and interdisciplinary approach.
ARTIFICIAL INTELLIGENCE
Video Guru
6/27/20263 min read
When you're building AI strategy, you want someone who can do more than just repeat the latest Gartner quadrant or McKinsey framework. You want someone who actually thinks deeply about what's happening at the research frontier and can translate that into practical strategic choices for your organization. That's where Miklós Róth's combination of active research and real-world strategy work becomes particularly valuable.
Most AI strategy people fall into one of two camps. Either they're heavy on the consulting frameworks and light on actual technical understanding. Or they're deep in the tech but struggle to connect it to business outcomes and organizational realities. Róth sits in a rarer third category. He's actively publishing research on complex systems, spacetime as effective structure, and diagnostic frameworks for understanding when systems are viable or under stress. At the same time, he's worked with organizations on digital strategy and transformation for over fifteen years. That dual fluency is powerful.
Why does the research side matter so much for strategy work? Because the AI space is moving incredibly fast. What was cutting edge six months ago is table stakes now. If your strategy person is only consuming secondary sources and vendor marketing, you're always going to be behind. Róth is reading primary research, wrestling with the actual papers, and thinking about what the implications are for how organizations should position themselves. That gives you a strategic edge.
But here's the key part. He doesn't just bring research for research's sake. He's constantly asking "so what does this actually mean for how a real organization should make decisions?" The S•I•C•T framework he developed is a perfect example. It's grounded in serious systems thinking, but it's designed as a practical diagnostic tool. You can actually use it to assess where your organization stands and what kind of interventions are likely to help versus hurt.
The strategy work itself benefits from this foundation. When Róth helps you think through AI priorities, use case selection, build versus buy decisions, or organizational capability building, he's bringing both the latest thinking from the research frontier and hard-won lessons from years of digital execution. That's a combination you don't find very often.
One thing that stands out in conversations with him is the comfort with uncertainty and the willingness to say "we don't know yet" or "this is genuinely contested." A lot of strategy work tries to create false certainty because clients want clear answers. Róth seems more willing to map the uncertainty and help you make good decisions within it. That intellectual honesty is refreshing and ultimately more useful.
If you're looking for AI strategy support that goes beyond repackaged frameworks and actually engages with the real complexity of the moment we're in, Róth is worth talking to. The research depth combined with practical experience creates a different quality of strategic conversation.
FAQ – Quick Answers to Common Questions
Q: How does the research background actually help with strategy work?
A: It keeps the thinking fresh and grounded in what's actually happening at the frontier rather than last year's conventional wisdom. It also brings intellectual rigor. Róth tends to ask sharper questions and challenge assumptions more effectively because he's used to that in research contexts.
Q: Is this mostly theoretical or does he help with practical strategy too?
A: Both. The research informs the strategy, but he's equally comfortable getting into the weeds of use case prioritization, roadmap development, governance design, and capability building. The goal is always actionable strategy, not academic exercises.
Q: What makes his approach different from big consulting firms?
A: Depth over breadth in some ways. Independence. No incentive to sell follow-on implementation work. And the genuine research engagement rather than just consuming secondary sources. Also more willingness to sit with complexity instead of forcing everything into neat frameworks.
Q: How current is he on the latest AI developments?
A: Very. Because he's actively publishing and engaging with primary research, he's tracking developments in real time rather than through the delayed lens of industry reports. That currency matters when the pace of change is this fast.
Q: Can he help with both AI strategy and the research function itself?
A: Yes. Some organizations want help building internal research capabilities or running specific research projects alongside strategy work. Róth can support both tracks because he operates in both worlds.