A few days ago, I questioned an email blast sent by Peter Diamandis, a co-founder of the XPrize, that claimed artificial intelligence (AI) and artificial general intelligence (AGI) would solve everything. I tested his claim by asking five AGIs this question:
“From the perspective of artificial intelligence, please explain the origins of the Universe, matter, antimatter, the Big Bang and the Cosmological Constant.”
I wouldn’t say any of them had an answer to explain what remains puzzling to our human scientists studying the Cosmos.
So, what did Peter really mean about AI solving everything? He picked five, starting with health, energy, societal challenges, transportation and the last one he called physics, but was really technological innovation.
Here are the five “AI solves everything” fields that Peter sees happening in the near future.
1. AI Will Solve Chronic Diseases And Extend Human Lifespan
DeepMind, Anthropic, and OpenAI are three AGIs focused on solving health challenges. Demis Hassabis, the CEO of DeepMind, a Google AI research laboratory, has predicted we will solve chronic disease within a decade. Dario Amodei, the CEO of Anthropic, believes we can double human lifespan within the same timeframe.
How will this be accomplished? Picture this: every citizen will have a digital twin, a comprehensive, simulated version of their biology. Trained on individual genomics, health records, wearables, family history, and population-wide datasets, these twins don’t just track an individual’s health; they simulate it. When new therapies emerge, they’re tested on the twins to predict effectiveness, side effects, and lifespan impact. Treatment can begin before the disease.
2. AI Will Enable Sustainable Clean Energy At Scale
Energy abundance is critical to humanity’s future. This is where AI will help discover sustainable materials and optimize energy systems in ways humans never could. AI will accelerate commercial fusion energy research, develop room-temperature superconductors, discover new battery chemistries, optimize and redesign power grids, and enable next-generation solar. AI will solve the optimization problems to speed up the adoption of renewables. Combined with fusion, small modular reactors (SMRs), and Gen-IV nuclear fission power plants, abundant clean energy will be harvested, stored, and traded locally in every region of the world.
3. AI Will Solve Global Poverty
Poverty is a resource allocation problem, and AI excels at optimization. For example, NVIDIA recently launched an AI innovation hub in Tunisia, part of an effort to train 100,000 developers across Africa. This isn’t charity, it’s infrastructure. When every region has access to AI tools and training, local entrepreneurs can solve local problems at scale. What used to be charity work will, by 2035, become an AI-enabled protocol.
4. AI Will Reinvent Transportation
AI will change the nature of both ground and elevated transportation modalities. Within the next decade, personal vehicle ownership will give way to Mobility-as-a-Service subscriptions with robotic ground taxis and airborne taxis. Transportation will be automated to meet human needs. It will be convenient and efficient.
Urban air mobility is already here, with flying cars no longer science fiction. Airborne hops will replace 90-minute highway slogs. Archer Aviation is one airborne car operator that plans to be in business to serve the Los Angeles 2028 Olympics.
Goodbye rush hour and freeways that are more like parking lots, with highways evolving into dynamic lanes that shift based on real-time traffic patterns, and that are maintained by AI systems.
Trucks will drive themselves as part of long-haul electric ground transportation convoys, coordinated by AI, making freight move faster, cleaner, and more safely.
AI will make transportation into a global nervous system that is smart, decentralized, electric, and increasingly airborne. For the first time in history, geography will loosen its grip on opportunity.
5. AI Will Speed Up Scientific And Technological Innovation
Peter called this point physics, followed by “what you don’t know, you don’t know.” He goes on to state that this is where it gets interesting.
How so? Once AGI solves mathematics, which Peter predicts will happen within the next year, the hard sciences of physics, chemistry, and biology will be next. Then will come engineering. He sees AI unlocking discoveries we can’t even imagine yet.
Peter calls what will happen the “Abundance Inflection Point,” a point in time when AI will leverage accelerating technological progress to solve foundational human global challenges on a scale that creates a more equitable, prosperous future for all.
Peter categorically believes that through AI, humanity will transition from the current age of scarcity to the next one of abundance.
Problem-solving assisted by AI will become something all of us can do.
Peter concludes, “Solve everything isn’t hyperbole. It’s the mission statement.”
