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01 / 05
What Might an Energy-Rich Future Look Like?

Blog Post | Health & Medical Care

What Might an Energy-Rich Future Look Like?

Peering through turquoise-tinted glasses

Summary: In this article, Zion Lights explores the benefits of an energy-abundant future powered by clean and reliable sources such as nuclear energy. She challenges the misplaced nostalgia and the fear of new technology that can hinder human progress and highlights the importance of energy access for improving global living standards.


It’s good to remember the past. Through studying history, we can learn more about ourselves as well as from our mistakes, which enables us to make improvements and pass important information on to future generations.

But there is a danger of being so focused on the past that we reject the new, even when potential changes might be of great benefit to us. While examining and criticizing new technologies can serve an important function in addressing potential shortcomings of discoveries, technology panics can also hinder progress. That has happened with the slow deployment of nuclear energy, the backlash against genetically modified organisms, and so on.

Perhaps there is a natural desire to want things to go back to “the way they were,” whether looking at things through rose-tinted lenses or because of the simple desire for a return to our youth.

For example, I recently read an article about mud houses in Burkina Faso. They seem idyllic: built by the community, built by hand, made of local natural resources, and able to help keep people cool in hot temperatures, which was the supposed focus of the article. But the piece veered constantly toward a rose-tinted lens, with a focus on those who lament the loss of mud housing and on how it could be made more appealing to younger generations, as so many younger people favor concrete buildings. Indeed, concrete houses don’t keep the heat out as well, but they do have air conditioning and electricity, and mud house walls have often collapsed and killed the people inside. People who move to higher-quality concrete housing (although the article does not call it higher quality) simply don’t look back.

Of course, the article is not written by someone who lives in a mud dwelling, but the writer has that lens. The writer ends by quoting a student who has never lived in anything other than a mud house or with electricity, stating that he is happy to live there—completely ignoring the point that people who can experience better accommodations stick with it. The article also describes concrete housing as a “gateway, once people can afford it, to another fossil-fuel-guzzling invention: air conditioning.” But air conditioning is not inherently “fossil-fuel guzzling”: since air conditioners are powered by electricity, if the electricity is clean, they can be environmentally neutral.

This is a classic example of rejecting the new and believing that the grass is greener as we look from our concrete houses to those who are living in the mud. If we don’t want to go back to living in mud houses, we need to look ahead. We move forward because progress makes life better. So, what might an energy-abundant future look like?

First, let us look back. Crushing poverty was the norm everywhere for almost all human history. We were only able to escape poverty through access to energy, and we now lead energy-rich lifestyles. Although many countries are implementing energy-saving and energy-efficiency measures, it is a fantasy to think that we will ever go back to living low-energy lifestyles. Humankind will always find novel ways to consume large amounts of energy.

Energy usage is already increasing as societies shift toward electrifying everything—from diesel cars to electric vehicles, from gas boilers to heat pumps, etc. If we want to shift toward public transport to reduce the number of vehicles on the road, electric buses and trains will also require a vast amount of energy.

Traditional environmentalists have long argued that we should live with less energy, but the reality is that humans are fantastic at finding ways to use more energy, not less. But what might an energy-abundant future look like? And who knows what technology might revolutionize our lives for the better?

Air conditioning

Air conditioning is one example of a technology that makes our lives better. We know that the planet is heating and that people die in heat waves. The need to roll out air conditioning is essential, especially in warmer climates.

As Singapore’s late first prime minister Lee Kuan Yew once said: “Air conditioning was a most important invention for us, perhaps one of the signal inventions of history. It changed the nature of civilization by making development possible in the tropics. Without air conditioning you can work only in the cool early-morning hours or at dusk. The first thing I did upon becoming prime minister was to install air conditioners in buildings where the civil service worked. This was key to public efficiency.”

According to the International Energy Agency, of the nearly three billion people living in the hottest parts of the world, only 8 percent have access to air conditioning. Powering more will save lives and won’t be a problem in a high-energy, nuclear-powered future. Preparing for a high-energy, low-carbon, climate-changed future means building air conditioning units en masse.

Artificial Intelligence (AI)

When most of us think about AI, we imagine chatbots and generated imagery. AI systems do require a lot of electricity—one study found that training an AI language-processing system produced 1,400 pounds of emissions.

But there’s more to AI than meets the eye. It is already revolutionizing the way we live, and we should make sure we can power it rather than worrying about how much energy it needs. AI is already being used to fight cancer, reduce repetitive tasks for workers, protect elephants from poachers, improve access to education through digital learning, improve customer services, and improve disaster responses. AI is also being used to strengthen climate predictions, which enables smarter decision-making for decarbonizing industries.

In Japan, AI is helping an aging population. Japanese people are living longer and having fewer children, but the country also has a shortage of care workers. So who is caring for the elderly residents? The answer is, increasingly, robots. In Japan, AI bots patrol rooms in care homes at night to check on residents and alert care workers when something is wrong. For example, Aeolus is a self-navigating AI-equipped robot that can detect abnormalities in residents as they sleep and assist in infection countermeasures by disinfecting commonly touched places in the building.

At the Yume Paritiis nursing home in Amagasaki near Osaka, androids that look like dolls are given to dementia patients to stimulate conversation. Telenoid enables caregivers to speak to patients remotely, which is essential when there are 500 patients to 150 caregivers. A robot called Hug carries people from wheelchairs to beds, which means less physical exertion and fewer injuries for staff members.

Since China, South Korea, Italy, and Germany are on a similar trajectory in terms of aging populations (as is the United States albeit at a slower pace), many billions of people will benefit from Japan’s developing AI technologies. We all want to live longer and be healthier for longer. But what would happen to aging populations if electricity wasn’t abundant? AI technology will need a lot of energy to expand and keep it running to enable people to live well. This is yet another argument for building a lot more nuclear reactors to power such a future reliably.

Water desalination plants

When roughly one-fifth of the world’s population does not have access to safe drinking water (and numbers are likely to rise unless adaptive measures are taken), an obvious solution is desalination. UNESCO has reported that the freshwater shortfall worldwide will rise to 500 trillion gallons per year by 2025.

Luckily, this problem can be easily solved. Water desalination technologies are capable of treating water from a wide variety of sources, including brackish groundwater, surface water, seawater, and domestic and industrial wastewater. As ever, there is a small cost to the environment, and environmentalists argue that the wastewater from desalination is problematic, but MIT has developed a process to reuse it.

According to the International Atomic Energy Agency, “Only nuclear reactors are capable of delivering the copious quantities of energy required for large-scale desalination projects” in the future. At present, only a few desalination plants operating worldwide are powered by nuclear energy. For example, due to water shortages in South Africa, a small groundwater desalination plant was built at the Koeberg nuclear power plant. It produces water solely for use by the plant, but there are also plans for a seawater desalination plant. Abu Dhabi is one of the largest places in the world to rely on water desalination, producing 9 percent of total desalinated water worldwide. This includes drinking water. One of the organizations involved has stated that “desalination still now remains one of the most viable sources to feed large communities.”

Instead of scaremongering about a future without water, politicians and journalists could instead talk about the solutions and ensure that they are implemented. If we start building desalination and nuclear plants now, we can avoid the worst of the predicted water shortages, as well as protect food crops, without contributing heavily to greenhouse gas emissions.

Turquoise-tinted glasses

So far I’ve used a few practical examples that could be implemented now as part of a high-energy future that would improve life for billions of people. Now, what if we don a pair of turquoise-tinted glasses and imagine even further ahead?

One policy paper does just that, exploring the notion of “energy superabundance.” The authors imagine flying cars, hyperloop networks, electric autonomous trucking, and water-from-air condensation, among other things. They envision scenarios for tackling energy inequality in poorer nations, replacing environmentally polluting materials like plastics and concrete, and using alternative farming methods to feed people more efficiently. Its authors even predict a carbon shortage through the deployment of some of these technologies. This is the good news we all need, and it’s potentially within our grasp.

The paper concludes: “Despite the great increases in output and well-being that could be achieved through superabundant energy, the outcomes we have described are still, in the grand scheme of things, only the beginning. They still, for the most part, assume levels of energy and power density achievable with near-term technologies.”

And through space exploration, humanity has gained life-changing technologies as well as knowledge about the nature of our universe and our place within it. Exploring the universe also requires vast amounts of energy, and progress has already been slowed in this regard due to energy shortages.

Aiming for a high-energy future is essential for human progress, and the good news is that it’s entirely achievable with the technology and knowledge that is available to us today. We can all aspire to live in houses that don’t cave in, can be cooled in the summer and heated in the winter, and aren’t made of mud. The future looks bright. We only need to reach out and grasp it.

Blog Post | Science & Education

AI in the Classroom Can Make Higher Education Much More Accessible

For some school subjects, artificial intelligence can transform the landscape of tutoring accessibility.

Summary: ChatGPT4 has demonstrated superiority in various student exams, revealing its potential to support academic learning and improve educational outcomes, particularly in test preparation. With its accessibility and affordability compared to traditional tutoring services, AI tutoring can help address the increasing demand for academic support, especially as universities begin to reinstate standardized testing requirements.


In 2023, OpenAI shook the foundation of the education system by releasing ChatGPT4. The previous model of ChatGPT had already disrupted classrooms K–12 and beyond by offering a free academic tool capable of writing essays and answering exam questions. Teachers struggled with the idea that widely accessible artificial intelligence (AI) technology could meet the demands of most traditional classroom work and academic skills. GPT3.5 was far from perfect, though, and lacked creativity, nuance, and reliability. However, reports showed that GPT4 could score better than 90 percent of participants on the bar exam, LSAT, SAT reading and writing and math, and several Advanced Placement (AP) exams. This showed a significant improvement from GPT3.5, which struggled to score as well as 50 percent of participants.

This marked a major shift in the role of AI, from it being an easy way out of busy work to a tool that could improve your chances of getting into college. The US Department of Education published a report noting several areas where AI could support teacher instruction and student learning. Among the top examples was intelligent tutoring systems. Early models of these systems showed that an AI tutor could not only recognize when a student was right or wrong in a mathematical problem but also identify the steps a student took and guide them through an explanation of the process.

The role of tutoring in education has grown in significance as more and more high school students have gone to college. Private tutoring is now a booming industry. Often you can find tutors charging anywhere up to $80 for test preparation with no shortage of eager parents willing to pay for their services. Tutoring has been a go-to solution for students to improve their grades outside the classroom. But more importantly, it has been a solution to improve their chances of getting into college, with many private tutoring services focusing on AP and SAT exams. This connection between college admission success and private tutoring costs has been a problem for parents who cannot afford the costs.

ChatGPT4 is available for $20 a month. Although the program itself can be used to answer questions and provide academic support, dedicated education websites have begun incorporating AI tutors to help with test prep. Khan Academy provides free courses on AP content and SAT exams and offers an AI-powered tutor for these subjects at $4 a month. Duolingo, a popular language learning app that offers university-recognized language exams, offers Duolingo Max at $14 a month. These tutoring services are accessible at your fingertips at any time. There is no need to schedule video conferencing calls, do background checks on tutors, or pay extra costs. Quality individualized academic support is available at a moment’s notice.

The availability of AI tutoring services is occurring at a crucial moment in education. As students become accustomed to post-pandemic life, student achievement across the nation still has not returned to where it once was. Despite that, many universities have begun reversing test-optional policies that had allowed students to avoid taking standardized tests such as the SAT. The demand for tutoring has skyrocketed as many new high school seniors struggle to meet the old standards of college admissions. Many school tutoring programs have not been able to provide the support students need, and private tutoring costs are only increasing.

AI has the potential to provide cheap and effective tutoring for these exams while being easily accessible. A Harvard computer science course has been able to incorporate ChatGPT to great success, using it to provide continuous and customized technical support and allowing professors to focus more on pedagogy. As technology improves, students will have more support for academic pursuits, opening an easier path to higher education but also allowing students to more easily explore academic interests beyond rigid classroom instruction.

Blog Post | Science & Technology

AI Is a Great Equalizer That Will Change the World

A positive revolution from AI is already unfolding in the global East and South.

Summary: Concerns over potential negative impacts of AI have dominated headlines, particularly regarding its threat to employment. However, a closer examination reveals AI’s immense potential to revolutionize equal and high quality access to necessities such as education and healthcare, particularly in regions with limited access to resources. From India’s agricultural advancements to Kenya’s educational support, AI initiatives are already transforming lives and addressing societal needs.


The latest technology panic is over artificial intelligence (AI). The media is focused on the negatives of AI, making many assumptions about how AI will doom us all. One concern is that AI tools will replace workers and cause mass unemployment. This is likely overblown—although some jobs will be lost to AI, if history is any guide, new jobs will be created. Furthermore, AI’s ability to replace skilled labor is also one of its greatest potential benefits.

Think of all the regions of the world where children lack access to education, where schoolteachers are scarce and opportunities for adult learning are scant.

Think of the preventable diseases that are untreated due to a lack of information, the dearth of health care providers, and how many lives could be improved and saved by overcoming these challenges.

In many ways, AI will be a revolutionary equalizer for poorer countries where education and health care have historically faced many challenges. In fact, a positive revolution from AI is already unfolding in the global East and South.

Improving Equality through Education and Health Care

In India, agricultural technology startup Saagu Baagu is already improving lives. This initiative allows farmers to increase crop yield through AI-based solutions. A chatbot provides farmers with the information they need to farm more effectively (e.g., through mapping the maturity stages of their crops and testing soil so that AI can make recommendations on which fertilizers to use depending on the type of soil). Saagu Baagu has been successful in the trial region and is now being expanded. This AI initiative is likely to revolutionize agriculture globally.

Combining large language models with speech-recognition software is helping Indian farmers in other ways. For example, Indian global impact initiative Karya is working on helping rural Indians, who speak many different languages, to overcome language barriers. Karya is collecting data on tuberculosis, which is a mostly curable and preventable disease that kills roughly 200,000 Indians every year. By collecting voice recordings of 10 different dialects of Kannada, an AI speech model is being trained to communicate with local people. Tuberculosis carries much stigma in India, so people are often reluctant to ask for help. AI will allow Indians to reduce the spread of the disease and give them access to reliable information.

In Kenya, where students are leading in AI use, the technology is aiding the spread of information by allowing pupils to ask a chatbot questions about their homework.

Throughout the world, there are many challenges pertaining to health care, including increasing costs and staff shortages. As developed economies now have rapidly growing elderly populations and shrinking workforces, the problem is set to worsen. In Japan, AI is helping with the aging population issue, where a shortage of care workers is remedied by using robots to patrol care homes to monitor patients and alert care workers when something is wrong. These bots use AI to detect abnormalities, assist in infection countermeasures by disinfecting commonly touched places, provide conversation, and carry people from wheelchairs to beds and bathing areas, which means less physical exertion and fewer injuries for staff members.

In Brazil, researchers used AI models capable of predicting HER2 subtype breast cancer in imaging scans of 311 women and the patients’ response to treatment. In addition, AI can also help make health resource allocations more efficient and support tasks such as preparing for public health crises, such as pandemics. At the individual level, the use of this technology in wearables, such as smartwatches, can encourage patient adherence to treatments, help prevent illnesses, and collect data more frequently.

Biometric data gathered from wearable devices could also be a game-changer. This technology can detect cancers early, monitor infectious diseases and general health issues, and give patients more agency over their health where access to health care is limited or expensive.

Education and health care in the West could also benefit from AI. In the United States, text synthesis machines could help to address the lack of teachers in K–12 education and the inaccessibility of health care for low-income people.

Predicting the Future

AI is already playing a role in helping humanity tackle natural disasters (e.g., by predicting how many earthquake aftershocks will strike and their strength). These models, which have been trained on large data sets of seismic events, have been found to estimate the number of aftershocks better than conventional (non-AI) models do.

Forecasting models can also help to predict other natural disasters like severe storms, floods, hurricanes, and wildfires. Machine learning uses algorithms to reduce the time required to make forecasts and increase model accuracy, which again is superior to the non-AI models that are used for this purpose. These improvements could have a massive impact on people in poor countries, who currently lack access to reliable forecasts and tend to be employed in agriculture, which is highly dependent on the weather.

A Case for Optimism

Much of the fear regarding AI in the West concerns the rapid speed at which it is being implemented, but for many countries, this speed is a boon.

Take the mobile phone. In 2000, only 4 percent of people in developing countries had access to mobile phones. By 2015, 94 percent of the population had such access, including in sub-Saharan Africa.

The benefits were enormous, as billions gained access to online banking, educational opportunities, and more reliable communication. One study found that almost 1 in 10 Kenyan families living in extreme poverty were able to lift their incomes above the poverty line by using the banking app M-Pesa. In rural Peru, household consumption rose by 11 percent with access to phones, while extreme poverty fell 5.4 percent. Some 24 percent of people in developing countries now use the mobile internet for educational purposes, compared with only 12 percent in the richest countries. In lower-income countries, access to mobile phones and apps is life-changing.

AI, which only requires access to a mobile phone to use, is likely to spread even faster in the countries that need the technology the most.

This is what we should be talking about: not a technology panic but a technology revolution for greater equality in well-being.

Blog Post | Education & Literacy

How to Combat Gloom and Pessimism

Given the inhospitable world we have evolved in, humans have learned to prioritize the bad news.

Summary: Optimism flourishes more in rapidly growing countries, fueled by the promise of improvements in living standards, a phenomenon less evident in relatively developed nations like the US. Human nature, predisposed to focus on negative news, collides with media outlets’ profit-driven emphasis on sensationalism, perpetuating a cycle of pessimism. Understanding our negativity bias and learning probabilistic reasoning skills can help navigate the deluge of alarming headlines, while seeking out sources of positive news can provide a more balanced perspective.


Surveys show that optimism is highest in rapidly growing countries that are catching up with the developed world. High growth rates allow the citizens of those nations to experience massive year-on-year increases in standards of living – something that, in the absence of an AI-led revolution in productivity, is unlikely to occur in already developed countries. Slow and steady progress, such as the one currently underway in the United States, does not seem sufficient to inspire widespread optimism about the future.

The problem of incrementalism is compounded by the interaction between human nature and the media. Given the inhospitable world we have evolved in, humans have learned to prioritize the bad news. Consequently, the media has embraced the “if it bleeds, it leads” business model. Worse still, growing competition between television, newspapers, and websites has significantly increased negative content over time. The inclusion of an additional negative word in a headline, for example, leads to 2.3 percent more clicks, according to a recent study.

Unfortunately, most people are unaware of our innate negativity bias. It may be helpful to include the understanding of basic human psychology in high-school curricula. While we may not be able to purge the negativity bias from our brains, understanding how and why we react to a ceaseless barrage of terrifying headlines in certain ways may help us gain a proper perspective on the world around us.

Another way to get around the apocalyptic headlines and focus on the largely positive trendlines is to develop a more sophisticated understanding of statistical probabilities. While evidence suggests that humans have an innate capacity for probabilistic reasoning, the formal application of Bayesian inference – which is to say, adjustment of our beliefs or guesses about something as we learn more information – is a learned skill. Infants and untrained adults show abilities that align with Bayesian principles on a basic level, indicating an intuitive understanding of probability and uncertainty. However, the precise and formal application of Bayesian reasoning requires education, especially in complex scenarios.

Finally, humans can choose what kind of information to consume. Knowing that traditional media does not offer a realistic picture of the world, people can sign up for services – such as the Human Progress weekly newsletter – that collate the positive happenings ignored by mainstream media outlets.