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Progress Isn’t Linear
What People Get Wrong About Technology Curves
The "Straight Line" Fallacy
Human intuition is fundamentally linear. If you take 30 steps linearly, you travel 30 meters. It’s easy to visualize, easy to plan for, and deeply embedded in how we manage businesses and careers.
But if you take 30 exponential steps—doubling your distance with each step—you don't travel 30 meters. You travel over a billion meters. You’ve circled the Earth 26 times.
This is the core of the "Linearity Trap." We tend to overestimate what technology can do in two years, but we massively underestimate what it can do in ten. When we look at the future through a linear lens, we don't just miss the target—we miss the entire paradigm shift.
1. The "Disappointment Zone"
Every exponential curve starts slow. In the early stages, a doubling from 0.01 to 0.02 looks like a flat line. To the casual observer, nothing is happening. This is where skeptics thrive, calling new technologies "toys" or "hype."
The Lesson: Just because progress is invisible doesn't mean it’s absent. We saw this with solar power in the 2000s and LLMs in the 2010s. The "Disappointment Zone" is actually the "Foundation Phase." If you wait until the curve turns vertical to start paying attention, you’ve already lost.
2. Step-Changes vs. Smooth Curves
While we often talk about "smooth" exponential growth (like Moore’s Law), real-world progress often looks like a staircase. We hit a bottleneck (a "step"), progress plateaus while we solve a fundamental engineering problem, and then we experience a "step-change" breakthrough.
The Lesson: Don't mistake a temporary plateau for a permanent ceiling. In innovation, "stuck" usually means "loading." Whether it’s battery density or AI reasoning, the next step-change is often being built during the quiet periods.
3. Lagging Indicators: Why the World Feels "Slow"
There is a significant lag between a technological breakthrough and its economic impact.
The steam engine existed for decades before the Industrial Revolution truly took off.
The internet was "everywhere" by 2000, but it took another 15 years for the mobile-app economy to reshape global commerce.
The Lesson: We are currently in the "Implementation Lag" for AI and Robotics. The breakthroughs have happened in the lab, but the world still looks "normal" because the infrastructure, regulation, and cultural habits haven't caught up yet.
How to Plan for Nonlinearity
If you are a leader, planning linearly in a nonlinear world is a recipe for disruption (just ask Kodak). To stay ahead:
Look at the "Doubling Rate": Don't ask "How much did we improve this year?" Ask "How long does it take for this capability to double?"
Build for the "Turn": Don't build a strategy for where the technology is today. Build for where the curve will be in 36 months.
Ignore the Noise, Watch the Signal: Headlines focus on the plateaus; data focuses on the trajectory.
The Bottom Line
The future doesn't arrive at a steady pace; it arrives in a rush. By the time a trend feels "obvious," the exponential curve has already moved past the point of easy entry. The goal isn't to predict the exact date of the future—it's to ensure your mindset is flexible enough to handle the acceleration.
Stay exponential,
Dr. Agus Budiyono
Decoding Innovation
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