Frustration Innovation: How I reduced the risk of radical ideas using AI and the Multidimensional Model (Full insight into my TEDx talk)
- Alan Lučić
- Mar 9
- 11 min read
Updated: Mar 14
Author: Alan Lučić, MBA, Innovator and author of the Master's thesis "Multidimensional framework of innovation diffusion strategy..." from the Technical University of Munich (TUM)
When I stood on the TEDx stage, I didn't want to talk about startup successes or technological leaps. I talked about what bothered me most as an innovator – a feeling that is universally silenced in our industry: Innovation Frustration.
Innovation frustration is not just frustration. It's that unique, resigned tension when you see a perfect, technically flawless solution, but the system around you still operates according to old, inert rules. It's a moment in which a sense of immense opportunity and a sense of invincible resistance exist simultaneously.
The idea that this path is difficult is not new. Niccolò Machiavelli summed up the essence of the battle we are fighting in "The Prince" back in 1532:
"There is nothing more difficult, uncertain and dangerous than taking the lead in introducing a new order of things."
Machiavelli described exactly what innovators feel today: when you introduce something new, you are simultaneously fighting against the old, which does not want to change, and the new, which is not yet clear or understandable enough.
My message, supported by research at TUM, is: this frustration is not a sign to give up. It is your most reliable signal . It means that you are standing on a critical border. But to cross that limit, you have to change your map. You need to move from linear, one-dimensional analysis to multidimensional navigation .
Mistake I and II: Why Linear Models Don't Work in the 21st Century
Our frustration begins with fundamental assumptions that have become outdated in an era of exponential technology.
A. Crooked Classification: Radical vs. Incrementally
First, we need to stop calling everything "disruptive." Every innovation requires a different strategy, budget, and level of risk tolerance:
Incremental Innovation (Better): Optimization. Low frustration level, solves known problems. Classic market analysis tools are used.
Disruptive Innovation (Bypasses): Changes the rules of the game, but does not necessarily create a new foundation of science. Conflict with established players is inevitable.
Radical Innovation (Creates New): No historical data. No references. The risk is the highest, because you are fighting against the very fundamental principles of the market. This is where the most frustration occurs. If you treat a radical idea as incremental (seeking market validation where the market does not yet exist), it is doomed to failure.
B. Limitation of Rogers' Model: WHO vs. WHAT ALL
Rogers' theory of diffusion gave us a key truth: Innovation doesn't succeed because it's good — it succeeds because people adopt it. The process is human: from Innovators and Early Adopters to the Early Majority.
Rogers perfectly explained to us WHO adopts and WHEN . But in the complex, regulated and globalized world of the 21st century, that is not enough.
Key insight: Radical innovation cannot be brought down by an inert "Early Majority" alone. A geopolitical standstill in the supply chain, a new European Commission regulation or an internal conflict in the team due to insufficient risk-tolerance can bring it down. Rogers explains the social aspect, but not the ecosystemic and systemic aspect .
The Story of Telefax: A Perfect Innovation Destroyed by a New Ecosystem
To illustrate how the dynamics of adoption change and how a new dimension (the Internet) destroys the old one, let's recall the story of the fax machine.
The telefax (Fax machine) has the longest adoption trajectory in the modern history of innovation. Although the technical idea has existed since the mid-19th century, its critical path of adoption and diffusion took more than a hundred years. It was only from the 1970s to the 1990s that it experienced mass diffusion – it entered the Early Majority .
During those decades, the fax was the paradigm of Incremental Innovation – it was faster, cheaper, and more reliable than sending letters by air. Its success was underpinned by a Multidimensional Victory : it had the support of the Supply Chain (telephone networks), the Organization (every company used it), and the Market (economic advantage).
And then, after centuries of adoption, came the Internet – a radical innovation.
The Internet did not try to be a "better fax machine." It created a new dimension - digital communication (e-mail). The Internet demolished all the dimensions of fax at once: it sent a document instantly (beating Supply Chain), it eliminated the need for paper (beating Logistics), and it was free (beating the Market).
The fax didn't fail because it wasn't good. It failed because radical innovation destroyed it by creating a new, superior ecosystem.
This example clearly shows that we must consider all dimensions, because danger can come from a completely unexpected angle.
Basic 5D Model: Multidimensional Framework
CORE THEORY: CAS and Indian Interbreeding (Foundation for 5D Model)
What does the world look like from the perspective of a radical innovator?
This is not a Swiss train system; it is an Indian traffic intersection .
Imagine an Indian crossroads: no traffic lights, no road signs. Dozens of different agents – bicycles, rickshaws, cars, pedestrians, cows – all collide in the fight for space, completely unpredictably . But the traffic is flowing. It is chaos, but it is organized chaos .
This phenomenon is the basis of the Complex Adaptive Systems Theory (CAS) .
Complex Adaptive Systems (CAS) and Innovation
CAS is a system full of agents (users, regulators, competitors, suppliers) that interact with each other, learn from the environment, and adapt unpredictably. Out of this chaos, unexpected patterns emerge – emergence .
Classic, linear models (like the old Supply Chain planning) immediately fail in this kind of CAS. Innovation is, by definition, a process of emergence within five complex adaptive systems (5D models).
Our frustration is the result of trying to apply a linear (1+1=2) solution to a CAS environment (where 1+1 can be 5 or -3). Our five dimensions (5D) are not just lists, but five interconnected CASs. By realizing this, you can stop blaming the idea and start mapping the chaos.
To protect ourselves from the fate of the fax machine and survive as radical innovators, we need to map the entire ecosystem . My 5D model introduces five critical dimensions. But each of those five dimensions has dozens of sub-dimensions. And each of them is a potential innovation killer and requires a separate strategy.
A. Organization Dimension (Technology, Culture, People and Capacity)
This dimension is an internal struggle. Innovation dies here when:
Culture Stifles Risk: In companies with a low tolerance for risk, innovators are forced to fake success or give up too early. In my research at TUM, the results confirmed that the Executive Level generally supports radical change, but that middle management is the biggest source of resistance, because they are exposed to short-term metrics and fear of failure.
Team Imbalance: A classic mistake is accumulating technical talent without adequate management. The team needs visionaries, but also Implementers (who implement the idea) and Analysts (who check the validity).
B. Market Dimension (Habits, Price and Vision)
The market tests the need and willingness for habit .
The Danger of Vision: Market research operates on known habits. That's why focus groups are useless for radical ideas. You can't ask the customer what they want, you have to show them what they don't know they want.
Economic Unviability: Many great ideas (eg advanced solar panels in the beginning) failed because the entry price was too high for the pragmatic Early Majority . The market pressures you with price and demands a compromise in quality, creating new frustration.
C. Competition Dimension (Response Time and Defensibility)
Competition today doesn't wait. The time from prototype to copy has been drastically shortened.
Two Ways: The fight can be at the Product level (your innovation is really better) or at the Platform and Distribution level (the competitor copies you and uses a better distribution, like Microsoft Teams vs. Slack).
Implication: The success of radical innovation depends on how quickly you can build defensible advantages – network effects, patents or a brand.
D. Supply Chain Dimension (Logistics Reality)
This dimension determines whether an innovation can be transformed from a prototype into a product that can be mass-delivered and reliably delivered.
Global Complexity: Dependence on global supply chains is critical. The outage of one critical component (eg microchip or rare metals) can shut down an entire industry, regardless of demand (as we saw in 2021).
Findings from the Thesis: In my research, managers expressed high profitability of radical ideas (positive view of the Market), but at the same time expressed great fear of the risks of progressive innovation in the Supply Chain - fear that the new system could disrupt the perfect efficiency of the existing chain.
E. Dimension of Social Environment (Regulation, Culture, Geography, Ethics and Fear)
This is a silent killer and often the most ignored factor for disruptive ideas.
Perception of Risk: It is not the objective danger that matters, but the perception of danger . Fear of privacy, ethical dilemmas surrounding AI, or simply distrust of new technology can be enough for regulation to block innovation.
Regulatory Inertia: Laws follow but do not lead innovation. When you work radically, you must become a regulatory Architect and actively work on education and changing the legal framework.
Anatomy of Chaos: Bipolar Innovation Disorder and Conflict Dimensions
The greatest frustration of innovators arises in the conflict of dimensions - when you get opposite, contradictory signals. My research at TUM called this phenomenon Bipolar Innovation Disorder .
A. Detailed Analysis: Bipolar innovation disorder; 5G Technology
Bipolar innovation disorder is a condition in which the same population gives drastically different signals in different dimensions. We analyzed users' attitudes towards 5G:
Signal 1 (Technological Dimension - Market): Users expressed strong positive attitudes – they want speed, stability, greater throughput.
Signal 2 (Social Dimension - Fear): The same respondents expressed strong fear, mistrust of technology and a demand for rigorous state regulation.
Implication for the Innovator: If you focus only on the technique (Signal 1), you think adoption is guaranteed. But you are not aware that the Social Dimension is blocking you through political and regulatory pressure. You are losing a battle where you are technically perfect. The conflict is in you, in your user and in the whole system.
B. The Case of AR/VR Travel: Triple Ambush
Radical innovation is like a person who is making progress but does not see that three dimensions have prepared an ambush for him:
Market: Initial Headset Price (Too Expensive for the Early Majority)
Competition/Supply Chain: Difficult scaling and late delivery.
Social Environment: Regulation prohibits recording of real-time locations.
Innovation fails, not because it is bad, but because it ignored three dimensions simultaneously.
AI as a Transdisciplinary Navigator for Innovation
To solve the complex problems created by Multidimensional Conflict , we need Transdisciplinary Intelligence .
Imagine an ideal, utopian hall: all the best experts from all five dimensions are sitting in it at the same time. You have top scientists, engineers, economists, lawyers, social workers, cultural leaders, and philosophers. All together, 24/7, ready for you to test your radical hypotheses in front of them.
If we had that set at our disposal, we could almost perfectly optimize the innovation cycle: they would instantly simulate regulatory obstacles (Lawyers), market inertia (Economists), and ethical dilemmas (Philosophers) – before you invest a single euro in a prototype.
Problem: This set is, of course, utopian and impossible to have available.
And that's where AI comes in. AI is the first tool to consolidate and summarize knowledge from all these dispersed domains. It turns the utopia of the Transdisciplinary Gathering into an operational reality, serving as an augmented, multidimensional intelligence for the innovator.
In the era of Industry 4.0 and the transition to 5.0, the only way to deal with this multidimensional complexity is to use tools that can track all five dimensions and their interactions. That's exactly what AI is.
AI in this context is not a substitute for an innovator, but a Catalyst of Complex Understanding . Its key role is:
Integrating the Unconnected: AI enables transdisciplinary analysis. It connects sociological data (public attitudes from the Social Dimension) with logistic (Supply Chain risk) and financial data (Market) into one complex model.
Conflict Prediction: AI models can simulate Bipolar Disorder of Innovation, predicting how a particular regulatory regulation (Society) will affect profitability (Market) and adoption dynamics.
Improving Efficiency: Navigating through the 5D model using AI drastically reduces the risk and waste of resources traditionally associated with the development of disruptive and radical innovations. It helps us identify who will attack us and where the regulatory problem will come from, before we even write a line of code.
AI Limitation: Human Creates Vision
Although AI serves as a powerful transdisciplinary navigator, we must clearly define its fundamental limitations. Frustration is born when we ask AI to do what it was not designed to do: create a truly radical vision.
AI Extrapolates – Man Creates Emergence
AI works on the principle of extrapolation – it analyzes huge sets of historical data (e.g. user attitudes, market trends, logistical bottlenecks) and finds patterns, then projects them into the future.
Excellence in Incremental: This is precisely why AI is the perfect tool for incremental and disruptive innovation. It can predict supply chain bottlenecks, optimize team roles, or assess whether the "Early Majority" will accept a better battery. He finds the optimal solution within the existing framework .
Fundamental Constraint: Radical innovation is, by definition, emergence – the appearance of something completely new, which cannot be explained based on previous states. There is no historical data. There is no market history. There is no frame of reference for that solution.
AI can't model what doesn't exist. It can't find an adoption trajectory for a technology that no one has seen before.
AI Has No Responsibility or Vision
Radical innovation requires:
Vision: The ability to see a path that no one has seen before (e.g. Jobs removing the buttons on the phone).
Responsibility: Taking full, unknown risk.
AI can't create that vision. It can't say, "Despite regulatory fear and zero historical data, let's go this way." It can't take responsibility for failure.
This is a critical moment where the role of AI as a tool must surrender to the role of humans as Architect.
That's up to you. That's up to the people.
Skier's Metaphor: Navigation Before the Descent
If AI is not a pilot, but a tool, then how should we, humans, use the 5D model?
Imagine skiers preparing for an Olympic downhill course. The course is unpredictable, full of ice and surprises. But skiers don't just go straight to the snow. They stand at the top, close their eyes, and use their hands to simulate going through every gate, through every turn. Hundreds of times.
They mentally go through the unknown, anticipating risk. They simulate not only the speed , but how the body will react to the unknown.
In the same way, innovators must navigate through the five dimensions in their minds, using AI as their augmented sense, BEFORE they move into full realization of a radical idea.
Organization: Where is the weakest link in our team? (We simulate stress on the team)
Society: Which law will bring us down in three years? (We simulate a regulatory reaction)
Market: Will Early Adopters Pay 10x Higher Price? (We Simulate Market Inertia)
If we do this, we reduce frustration and increase the chances of success.
Final Message: Innovator Evaluation
That's why the most important element of every radical innovation is always the same: the person who leads it.
If AI can't see the future, and we're faced with an unknown risk, the only relevant question to ask is: "When a problem arises that no one has solved before — are you the person who can solve it?"
The investor, the evaluator and the market are not just evaluating technology that doesn't exist. They are evaluating you .
So my final message and conclusion of my TEDx talk is this:
Radical innovations do not evaluate the innovation — they evaluate the INNOVATOR.
Use AI as an augmentation to navigate through the five dimensions. Be an Architect who sees all five. Embrace frustration — because it means you are standing right where the most valuable and rarest solutions arise.
Question for you: Using the metaphor of a skier, which of the Five Dimensions (Organization, Market, Society, Competition, Supply Chain) do you need to simulate and practice the most before "going down the slope" with your next project? Share your story in the comments!
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