Solve Everything: The Roadmap to Abundance by 2035

Why the next 18 months will determine the trajectory of human civilization—and how to position yourself for the greatest transition in history.

The Most Important Period in Human History

Peter Diamandis and Dr. Alex Wissner-Gross have released a framework that will likely be studied for decades. Titled “Solve Everything — The Roadmap to Abundance by 2035,” it makes a bold claim: the next 18 months represent the most critical period in human history.

Drawing explicit parallels to Leopold Aschenbrenner’s influential “Situational Awareness” thesis—which argued that mainstream AI forecasts severely underestimate progress—Diamandis and Wissner-Gross suggest that we’re not just facing another technological revolution. We’re approaching a transition so profound that it will make the Industrial Revolution look like a warmup.

The thesis rests on a simple but powerful observation: AI is improving exponentially while human institutions adapt linearly. This creates an ever-widening gap between what’s possible and what’s actually happening—a gap that represents both unprecedented opportunity and existential risk.

The Three Pillars of Abundance

The roadmap identifies three converging technological pillars that will collectively solve humanity’s grand challenges within a decade:

1. The Intelligence Explosion

Wissner-Gross, a systems scientist, contributes a critical insight: AI improving AI creates a self-reinforcing feedback loop. Each generation of AI systems accelerates the development of the next, compressing decades of progress into months.

We’re already seeing this dynamic in action:

• AI systems now design better AI architectures
• Coding assistants improve exponentially with each release
• Protein folding breakthroughs that once took years now happen in days
• Materials science is being revolutionized by AI simulation

The “intelligence explosion” isn’t a distant theoretical concern—it’s happening now, and the rate of improvement is itself improving.

2. Energy Abundance

Energy has always been the fundamental constraint on human flourishing. Every improvement in living standards—from clean water to education to healthcare—requires energy. Diamandis argues that AI will eliminate this constraint first.

The mechanism is multiplicative:

• AI-designed materials are improving solar panel efficiency exponentially
• AI simulation is accelerating fusion research by orders of magnitude
• Battery technology is advancing faster than Moore’s Law thanks to AI-driven materials discovery
• Grid optimization AI is making renewable energy more reliable than fossil fuels

The projection: Near-zero marginal cost energy by the early 2030s. When energy is abundant, clean water (desalination), manufacturing (electrification), and transportation (EVs) all become effectively free at the margin.

3. The Biological Revolution

The convergence of AI with biotechnology is proceeding faster than even optimistic projections. CRISPR combined with AI-designed therapeutics is on track to:

• Eliminate most infectious diseases by 2030
• Make genetic diseases as manageable as bacterial infections
• Extend healthy human lifespan substantially by 2040

The roadmap suggests that aging itself will be understood as a treatable condition rather than an inevitable decline—a shift with profound implications for economics, psychology, and social organization.

The 18-Month Critical Window

Why such urgency? The authors identify three converging factors:

First, AI capabilities are crossing thresholds that render current economic and social models obsolete. The frameworks we’ve built for organizing human activity assume scarcity of intelligence. When intelligence becomes abundant, everything changes.

Second, institutional adaptation lags dangerously behind technological progress. Regulatory frameworks, educational systems, and economic structures were designed for 20th-century rates of change. They simply cannot keep up with exponential progress.

Third, the decisions made now about AI governance, infrastructure investment, and economic adaptation will be enormously consequential. The roadmap argues that there’s a narrow window to steer this transition toward broad abundance rather than concentrated power.

Exponential vs. Linear Thinking

A recurring theme throughout the roadmap is what Diamandis calls “the gap between exponential reality and linear intuition.” Even experts consistently underestimate progress because they extrapolate from current rates rather than accounting for compounding.

Consider: if a technology improves 10% per year, linear thinking projects 100% improvement in 10 years. But exponential improvement at 10% per year yields 159% improvement in 10 years—and this gap widens dramatically as rates increase.

Now consider that AI capability is improving at rates closer to 2-4x per year in specific domains. The linear intuition simply breaks down.

The practical implication: Most planning horizons are dangerously short. Organizations designing for 3-5 year timelines will be blindsided by changes that happen in 18 months.

The Convergence Multiplier

Perhaps the most important insight in the roadmap is the concept of convergence multipliers. Individual exponential technologies (AI, biotech, energy, materials) each follow remarkable improvement curves. But when they converge, their combined impact exceeds the sum of their parts.

Example: AI-designed materials improve solar panels, which provide cheap energy to power AI data centers, which design better materials—a virtuous cycle where each improvement accelerates the next.

This dynamic explains why progress feels slow until it suddenly doesn’t. We’re not experiencing multiple separate revolutions; we’re experiencing one convergent revolution that compounds across domains.

Institutional Lag: The Dangerous Gap

The roadmap highlights what may be the defining risk of this transition: institutional lag. Our systems for governance, education, and economic organization were built for a world of incremental change. They cannot process exponential transformation.

Consider education: We’re still training students for jobs that won’t exist in 10 years while failing to teach the skills that will matter most—human-AI collaboration, exponential thinking, and rapid adaptation.

Consider regulation: By the time a regulatory framework is developed for a technology, that technology has already evolved three generations past.

This lag creates friction that could slow the transition to abundance—or worse, concentrate its benefits among those positioned to exploit the gap between technological capability and institutional response.

The Abundance Mindset

Central to the thesis is a psychological shift from zero-sum (scarcity) to positive-sum (abundance) thinking. Diamandis argues that much opposition to transformative technologies stems from unconscious scarcity assumptions that will soon become obsolete.

In a world of abundance:

• Competition for resources gives way to collaboration on distribution
• Protectionism gives way to open innovation
• Zero-sum politics gives way to positive-sum governance
• Anxiety about survival gives way to questions of meaning and purpose

This isn’t utopian fantasy—the roadmap provides specific technological pathways to material abundance. The question is whether our psychology and institutions can adapt as quickly as our technology.

Positioning for the Transition

The roadmap offers specific recommendations for navigating this transition:

For Individuals:

1. Aggressive AI adoption — Integrate AI tools into every workflow. The productivity gains compound, and early adopters develop irreplaceable skills in human-AI collaboration.
2. Cultivate exponential thinking — Practice projecting compounding effects rather than linear trends.
3. Develop adaptation as a meta-skill — Specific skills matter less than the ability to learn continuously.

For Organizations:

1. Flatten hierarchies — Speed of decision-making becomes a survival advantage.
2. Integrate AI into core processes — Not as a peripheral tool but as a fundamental capability.
3. Plan for radical abundance — Scenario planning should include genuinely disruptive possibilities, not just incremental improvement.
4. Invest in continuous retraining — The half-life of skills is decreasing rapidly.

For Investors:

1. Identify scarcity bottlenecks — The highest returns come from eliminating remaining constraints (energy storage, compute infrastructure, biotech manufacturing).
2. Focus on convergence — Technologies at the intersection of multiple exponential trends create outsized returns.
3. Avoid scarcity-dependent industries — Traditional healthcare, energy extraction, and other scarcity-based models face existential disruption.

Building in the Age of Abundance

At Augmi, we’re building infrastructure for this future. Our mission is simple: help everyone amplify their abilities through AI agents that work 24/7.

The roadmap confirms what we’ve believed from day one: the future belongs to those who leverage AI early and aggressively. Not as a replacement for human capability, but as a multiplier of human potential.

Our AI agents aren’t just tools—they’re teammates. They work while you sleep, handle the repetitive work, and free you to focus on what matters most. Whether you’re a founder, creator, developer, or operator, an AI agent can 10x your output.

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The Choice Before Us

Diamandis and Wissner-Gross end with a stark but hopeful assessment: we have a choice.

The technological pathway to abundance by 2035 is clear. The question is whether we have the wisdom to navigate the transition—the institutional adaptation, the psychological shift, and the political will to distribute benefits broadly rather than allowing concentration.

The next 18 months are critical not because technology will suddenly appear, but because the decisions made now will determine how that technology is deployed, governed, and distributed.

Those who recognize this transition early and position themselves accordingly will be exponentially better positioned by 2035 than those who wait for consensus to catch up with reality.

The roadmap is clear. The destination is abundance. The only question is whether we’ll arrive there together.

This analysis is based on Peter Diamandis and Dr. Alex Wissner-Gross’s “Solve Everything — The Roadmap to Abundance by 2035.” For the complete framework, see the original publication.

Source: Peter Diamandis on X

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