We are at a turning point that occurs only once every 125 years.

Author: Peter Diamandis

Translation: Deep Tide TechFlow

Deep Tide Introduction: This article is written by seasoned investor Peter Diamandis, summarizing his in-depth conversation with ARK Invest founder Cathie Wood about the "Big Ideas 2026" report. The core of the article points out that we are at a technological turning point that happens once every 125 years, with five major platforms—AI, robotics, energy storage, blockchain, and multiomic sequencing—experiencing unprecedented exponential convergence.

The author not only reiterates the bullish forecast of Bitcoin reaching $1.5 million but also delves into cutting-edge trends such as data centers moving to space, the nuclear renaissance, and how autonomous driving will completely disrupt the automotive industry. For Web3 investors and tech entrepreneurs, this serves as an action guide on how to position capital and actions over the next five years.

The full text is as follows:

I just completed an amazing episode of the WTF podcast with Cathie Wood, founder and CEO of ARK Invest, where we delved into their "Big Ideas 2026" report.

This is the conversation that truly deserves attention. It’s not the anxious chatter you hear in Davos, nor the doomsday pessimism that floods traditional media. This is the direction that the smartest capital allocators on the planet are betting on: with real money, real models, and firm belief.

If you remember Mary Meeker's legendary "Internet Trends Report," which became the "bible" for a generation of tech investors, Cathie's "Big Ideas" slides have taken on that role. But there’s a key difference: Meeker looked back at what happened, while Cathie uses Wright’s Law to predict the next five years.

It takes courage. And she has consistently proven to be astonishingly accurate.

Let me break down the eight most important insights from our conversation.

Note: Cathie was a faculty member at the Abundance Summit I founded, and leaders like her share profound insights years before mainstream society catches on. The live seats for the 2026 Summit next month are nearly sold out. Click to learn more and apply.

1/ The "Singularity" of 7% Global GDP Growth

This is a number that will keep you awake at night—in a good way.

ARK predicts that by 2030, global real GDP growth will reach 7%. This is more than double the 3% stagnation we’ve seen for the past 125 years. Cathie believes even this number is conservative.

Looking back in history: from 1500 to 1900, global GDP growth was about 0.6%. Then came railroads, telephones, electricity, and internal combustion engines, which quintupled the growth rate over the next century and a half to 3%.

Now, we have five converging platforms: Robotics, Energy Storage, AI, Blockchain, and Multiomic Sequencing. Each platform is exponential in itself. When they come together, they are creating entirely new industries at machine speed.

When I recently asked Elon about this on the "Moonshots" show, his view was even more radical: a 5-fold GDP growth in two years, and triple-digit growth in ten years.

The skeptics in Davos—the 80% who don’t believe—are still anchored in 125 years of linear experience. They are correct in their views of the past, but their judgments about the future will be catastrophic errors.

2/ Data Centers are Moving to Orbit

Six months ago, no one was talking about space data centers. Now, everyone is.

That’s where its significance lies: Elon plans to merge SpaceX and xAI, and it’s not just about rockets or chatbots. It’s about building the computing infrastructure of the 21st century in the most suitable place—namely, in orbit, where solar panel efficiency is six times higher than on Earth.

The cost curve for reusable rockets is plummeting. Wright’s Law is doing its usual work: as output doubles, costs decrease by a fixed percentage. In the industrial robotics sector, costs drop by 50% with each doubling.

But Dave pointed out a fundamental constraint that most analysts overlook: the limiting factor is no longer rocket launches, but rather sand (for chips), power supply, and the profit structure within the GPU value chain. TSMC takes 50%, and NVIDIA takes 80%. Elon is quietly planning to build his own foundry to bypass all of this.

When you combine collapsing launch costs, vertically integrated chip production, and unlimited solar energy, you get an incomprehensible computational advantage.

This fusion is massive: rockets + AI + energy + manufacturing. This is what happens when you stop thinking in isolation and start thinking systemically.

3/ The Commodification of Cognition

This is the most important chart in the entire "Big Ideas" report.

Over the past year, the cost of inference has dropped by 99%. Software costs have decreased by 91%: from $3.50 per million tokens to $0.32.

Think about it carefully: the collapse in the cost of intelligence is faster than any technology in human history.

The task reliability of AI agents increased fivefold by 2025, from 6 minutes of reliable autonomous operation to 31 minutes. While it’s not perfect… an 80% success rate means if it were a human employee, you would have fired them long ago. But we are at the steepest part of the curve.

Here, Jevons’ Paradox is at play: when the price of something drops, demand explodes. We are not heading toward a future of reduced AI usage; we are moving toward an era of intelligence that is "cheap enough to not measure."

Everyone is asking: when prices approach zero, can OpenAI, Anthropic, and top labs still maintain revenue?

Cathie’s consumer analysts have already seen the cracks. OpenAI is planning a $60 CPM (cost per thousand impressions) ad—three times the Facebook rate—while Gemini can afford to build through Google’s cash flow subsidies, thus holding steady and capturing market share.

The race has begun, and it has only just started.

4/ The US-China AI Cold War

China has already taken the lead in open-source AI. And this is something we "forced" them into.

Here’s the situation: due to intellectual property issues, American companies stopped selling software to China. So China built its own system and open-sourced everything. DeepSeek, Tongyi Qianwen… these models can now compete with America’s top closed-source labs.

DeepSeek is a wake-up call. Sam Altman and Jensen Huang both acknowledge that its algorithms are smart—this provides an opportunity for American labs to refine these insights into their own models.

But there’s a deeper dynamic at play: within Anthropic and OpenAI, the number of people actually working on core algorithm research is very small. When you lock all research behind closed doors, you stifle the flow of ideas. The 1.4 billion people in China are constantly experimenting in the open-source space, and the pace of innovation will be faster, even if some of those innovations are risky.

Meanwhile, China is investing 40% of its GDP into what President Xi calls "new quality productivity." They are simultaneously building 28 large nuclear reactors, while the US hasn’t built a single one. Their clinical trials in biotechnology are also surpassing the West.

This is not about fear; it’s about competition. Competition makes both sides better.

The good news? Open source is a two-way street. What China builds, we can use; what we build, they can use. The outcome will be determined by the application layer, and outside of TikTok, Silicon Valley still dominates the application layer.

5/ The Next Big Bull Run for Bitcoin

Cathie’s bullish forecast: by 2030, each Bitcoin will reach $1.5 million.

The argument is as follows: gold has performed exceptionally well over the past year, doubling in 24 months. History shows that gold usually leads Bitcoin. With the acceleration of intergenerational wealth transfer, the younger generation will choose to allocate "digital gold" instead of physical gold bars.

The flash crash caused by a Binance software glitch on October 10 wiped out $28 billion in leveraged positions. This deleveraging is essentially complete, and the runway is clear.

But the deeper insight is about hedging against deflation. Most people understand Bitcoin as a hedge against inflation: mathematically capped at 21 million coins, with an annual growth rate of only 0.8%. But what about hedging against deflation?

Think back to 2008-2009. Catastrophic deflation, asset price collapse, counterparty risk everywhere. In such a scenario, Bitcoin’s value proposition is not to prevent excessive money printing, but to prevent systemic financial collapse. No counterparty risk, not subject to confiscation, cannot be censored.

As wealth in emerging markets grows, people will shift from barely getting by to saving, and they will increasingly turn to Bitcoin. El Salvador is just the beginning, not the end.

6/ The Nuclear Renaissance is Here

If we had followed the Wright’s Law of nuclear energy from the 1970s to today, the cost of electricity in the US would be 40% lower than it is now.

Think about that: 40%.

What happened? After the Three Mile Island incident, the US and Japan began to over-regulate nuclear energy. The construction costs, which were continuously declining on the learning curve, suddenly reversed and began to rise. We stifled the nuclear industry just as it was getting on track.

Now the mathematical logic has changed. AI data centers require baseload power, a massive amount of electricity. By 2030, cumulative investment in global power infrastructure needs to reach $10 trillion.

China is simultaneously building 28 large nuclear reactors. The US is reactivating mothballed plants and investing in small modular reactors (SMRs). The depreciation schedule in the new tax law is astonishing—if you start construction before 2028, you can fully depreciate manufacturing structures in the first year of operation.

Economic activity is the transformation of energy. Anyone who tells you energy is harmful is actually telling you they want to return to the dark ages. The question is not whether we use more energy, but where that energy comes from.

Nuclear energy, solar energy, orbital solar energy, nuclear fusion. We need all of these.

7/ Autonomous Taxis Will Destroy (the Automotive Industry as We Know It)

While driving in Santa Monica, I’ve been counting the number of Waymo vehicles. Now I see 10 to 12 every day. What about five years from now? I expect that 80% of the vehicles on the road will be autonomous.

Here’s a calculation that traditional car companies should be terrified of:

Today, Uber accounts for only 1% of all urban mileage. To meet that 1%, you only need 140,000 vehicles. But to meet 100% of urban mileage? You need 24 million.

The U.S. currently has 400 million cars, selling 15 million new cars each year. The capacity utilization improvement brought by robotaxis will completely erase our understanding of personal car ownership.

Tesla will win this race… and even the closest competitors are far behind.

Why? Vertical integration. Waymo relies on suppliers like Zeekr and Hyundai. They have fewer than 3,000 vehicles across the U.S. When demand explodes, their supply chain becomes a bottleneck.

Tesla has built "machines that make machines." Every component is produced under one roof. Elon figured this out in his first—or maybe second—Master Plan, while the traditional auto industry has yet to catch up.

How big is the cost difference? Under large-scale operations, Tesla’s pricing will be 20 cents per mile. In contrast, Uber’s average price during peak pricing is $2.80 per mile. This price gap will create explosive cash flow for autonomous operators.

There’s another integration that no one is talking about: millions of cyber-taxis are also inference engines and distributed energy storage devices moving between cities. They are not just cars; they are mobile data centers and grid stabilizers.

8/ Autonomous Delivery is Here

We are so focused on autonomous taxis that we are missing the delivery revolution that is happening.

Zipline is making a big splash: completing 4 million autonomous drone deliveries each year. They started by delivering medical supplies in Rwanda, reducing maternal mortality from internal bleeding by over 50%. Now they are expanding globally.

On the ground, I see dozens of Coco robots every day in Santa Monica. Meituan and Starlink are doing the same. The streets are getting crowded.

The ground is crowded, but the airspace is open and three-dimensional. Noise will be a major issue; whoever can invent quieter drones will win a huge market.

Autonomous trucking is next. Long-haul routes are perfect for automation: predictable, highway-dominant, and high volume. The driver shortage is not a bug; it’s a signal from the market—automation is inevitable.

What This Means for You

If you are an entrepreneur or investor, here are the key points:

1. Stop thinking in isolation. The biggest opportunities lie in convergence—AI + robotics + energy + space. If your analysis is limited to specific industries, you are already behind.
2. Wright’s Law trumps Moore’s Law. Time-based predictions have failed. Predictions based on unit output are everything. As output doubles, costs decrease by a fixed percentage. That’s the formula.
3. Deflation is coming—the good side. When prices drop, demand will explode. Position for business growth rather than just preserving margins.
4. GDP metrics are failing. Real progress is becoming increasingly invisible under traditional measurement standards. Gross National Income (GNI) may be more accurate. Productivity is being systematically underestimated.
5. Competition with China is a good thing. Stop fearing and start learning. Open source is a two-way street, and the outcome depends on the speed of execution at the application layer.
6. Energy is the new constraint. Every exponential technology relies on electricity. Invest accordingly: nuclear, solar, energy storage, grid infrastructure.
7. "Autonomous everything" is already here. It’s not "coming"; it’s "here." If your business model assumes humans are the only drivers, delivery personnel, or operators, you have only 3-5 years to adapt.

Conclusion

We are not in a normal business cycle. We are at a turning point that occurs only once every 125 years.

The last time technology brought a leap in GDP growth was during the Industrial Revolution. Railroads, electricity, and internal combustion engines took us from 0.6% growth to 3%.

This time, five platforms are converging simultaneously. Robotics, energy storage, AI, blockchain, multiomics. Each is exponential and mutually reinforcing.

Most investors are still anchored in "recency bias"—the 3% growth of the past 125 years. Most decision-makers are measuring with outdated metrics. Most analysts remain trapped in industry silos that are blurring and converging in real-time.

The opportunity lies not in predicting the future but in building the future.

Cathie and the ARK team have faced skepticism for years—predicting things that seemed crazy before they happened. $100,000 Bitcoin, $400 Tesla, AI agents writing code.

Their target of a 35% annualized return from disruptive innovations over the next five years sounds aggressive. But if even half of what we discussed comes true, that target may seem conservative.

The question is not whether this future will arrive, but whether you are already part of it… or watching from the sidelines.

I choose to participate in building it.

Moving toward a prosperous future.

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