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01 / 05
Can Finance Save the Wolves?

Blog Post | Conservation & Biodiversity

Can Finance Save the Wolves?

Economics informs us that unsolvable societal disputes don’t have to become political wrestling matches.

Most people have quite the dire view of finance and markets. Unscrupulous bankers and pompous hedge funds place unsound bets on obscure and risky investments; greedy businessmen jack prices and fire workers at the first sight of recessions caused by their own avarice. Money rules the world, goes the trope. But that also means that financial incentives have the power to align behavior more powerfully than most appeals to morals, kindness, or the good of the community.

Yale University finance professor William Goetzmann opens his book Money Changes Everything: How Finance Made Civilization Possible with the observation that “finance is the story of a technology: a way of doing things. Like other technologies, it developed through innovations that improved efficiency. It is not intrinsically good or bad.” Markets, especially those for financial assets and property, are a way to rearrange reality’s unavoidable risks, benefits, and payoffs; they are “by, for, and about people’s lives.”

One fascinating way that modern financial engineering helps make the world a better place is through counterintuitive payments, such as in global forestry. Making money by chopping down trees is a model that everyone understands—get chainsaws and harvesters, hire some laborers, chop trees, and sell the wood for profit.

Another way is to make money by not chopping down trees, courtesy of resourceful financiers and carbon sequestration markets. In efforts to reduce their carbon emissions, major corporations routinely pay forest owners to keep more trees in the ground for longer. This “negative logging” is made possible by financial flows from those who want more trees to those who manage them.

In 2021, the World Bank paid nine districts in Mozambique’s Zambézia province for keeping forests intact. When in power, Brazil’s ex-president Jair Bolsonaro routinely tried to shake down the international community for cash payments in exchange for not deforesting the Amazon. Think what you will of this controversial political figure and his policies, but the economic mechanism his government proposed here was sound – rich Westerners want flourishing rainforests and an end to global deforestation, and poor farmers and loggers want to use economically unproductive land to better their standards of living. A deal naturally presented itself.

Well-structured financial payments can also solve another pickle that routinely devolves into political mudslinging: wildlife. City-dwellers often have a romanticized view of nature and ecologic systems, like the idea of healthy wolf populations. Ranchers and pastoralists who bear the visible costs of livestock killed usually have a different view. Cue unsolvable political showdowns.

In Sweden, where ecological concerns usually reign supreme, rural constituents and an anti-wolf lobby have recently gotten the upper hand. This summer, the government announced that it wanted to reduce the already inbred and endangered wolf population by half. The policy is based on no scientific evidence whatsoever. It is a political measure to reduce concentrated economic damages among a loud constituency.

It seems that only one group can be satisfied. The groups who favor more wolves and those favoring fewer can’t both have their way. When management over common-pool resources devolves into political disputes, policy usually pinballs between various interests as they wrestle control over the political apparatus.

Finance and Markets Can Align Mutually Incompatible Interests

Economics informs us that unsolvable societal disputes don’t have to become political wrestling matches. Instead, we need financial instruments and payoffs that have city-dwellers paying rural communities for the unavoidable death caused by having thriving predator populations.

If city-dwellers’ desire to have large or growing wolf populations in their countries is genuine, they should be willing to pay extra for cattle meat sourced from wolf territories, the livestock most at risk for wolf attacks.

Ecologic systems, like economic systems, are dynamic – changes to them don’t impact just one thing. When wolves return to areas where they were hunted to extinction during the 20th century, they unfortunately attack livestock or domestic animals. But they also keep the population of boars, deer, or elk in check, which reduce the damage to agriculture and gardens, cars, and people. Insurance companies could play a role by supporting conservation efforts for large predators—or offer reduced premiums for customers that do—since more wolves means fewer and/or more skittish deer and elk, which dramatically reduce vehicle collisions with wildlife.

Another way to achieve the same reshuffling of economic value is to have (generally wealthier) city-dwellers pay lavishly for ecotourism trips into areas where wolves are plentiful—like these projects in Spain’s Sierra de la Culebra. Some of the revenue streams should make it back to shepherds losing livestock to attacks or farmers who can credibly show the presence of wolves on their grounds (say, through wildlife cameras capturing their movements).

In Scandinavia, these conflicts become overwhelmingly political not only out of a lack of financial engineering but also because most compensation schemes are run by bureaucrats and financed by taxpayers. Vultures circle around political payouts as well as fresh carcasses.

Modeling by Anders Skonhoft at the Norwegian University of Science and Technology suggests that ex-ante payments for predator presence yield better outcomes than ex-post reimbursement of livestock damages. This is the animal husbandry equivalent to paying for not cutting down trees.

In the 1990s, the Swedish government introduced such an ex-ante scheme for the Sámi population and the reindeer they manage. Sámi herders routinely lose some 20 percent of their animals to carnivore attacks every year. By tying reimbursement to the presence of lynx and wolverine offspring rather than exact reindeer attacks, the scheme turns those most posed to disapprove of predators into their greatest defenders.

With the introduction of ecotourism in Africa and the Amazon, the same financial incentives have flipped loggers and poachers into guides, the enemies of predators becoming their greatest protectors. On a larger scale, the right financial structures—payouts, markets, and assets—can align the interest of unsolvable political enemies.

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.

Brookings | Financial Market Development

Women’s Financial Inclusion Boosted in Sub-Saharan Africa

“In the 10 years leading up to 2021, the share of women in sub-Saharan Africa who owned a financial account more than doubled to reach 49%, according to data from the Global Findex.

Since 2017 alone, account ownership rates for women in the region increased 12 percentage points, driven entirely by increased adoption of mobile money accounts.”

From Brookings.

Blog Post | Adoption of Technology

Bitcoin Brought Electricity to Countries in the Global South

It won’t be the United Nations or rich philanthropists that electrifies Africa.

Summary: Energy is indispensable for societal progress and well-being, yet many regions, particularly in the Global South, lack reliable electricity access. Traditional approaches to electrification, often reliant on charity or government aid, have struggled to address these issues effectively. However, a unique solution is emerging through bitcoin mining, where miners leverage excess energy to power their operations. This approach bypasses traditional barriers to energy access, offering a decentralized and financially sustainable solution.


Energy is life. For the world and its inhabitants to live better lives—freer, richer, safer, nicer, and more comfortable lives—the world needs more energy, not less. There are no rich, low-energy countries and no poor, high-energy countries.

“Energy is the only universal currency; it is necessary for getting anything done,” in Canadian-Czech energy theorist Vaclav Smil’s iconic words.

In an October 2023 report for the Alliance for Responsible Citizenship on how to bring electricity to the world’s poorest 800 million people, Robert Bryce, author of A Question of Power: Electricity and the Wealth of Nations, sums it as follows:

Electricity matters because it is the ultimate poverty killer. No matter where you look, as electricity use has increased, so has economic growth. Having electricity does not guarantee wealth. But its absence almost always means poverty. Indeed, electricity and economic growth go hand in hand.

To supply electricity on demand to many of those people, especially in the Global South, grids need to be built in the first place and then have enough extra capacity to ramp up production when needed. That requires overbuilding, which is expensive and wasteful, and the many consumers of the Global South are poor.

Adding to the trouble are the abysmal formal institutions of property rights and rule of law in many African countries, and the layout of the land becomes familiar: corruption and fickle property rights make foreign, long-term investments basically impossible; poor populations mean that local purchasing power is low and usually not worth the investment risk.

What’s left are slow-moving charity and bureaucratic government development aid, both of which suffer from terrible incentives, lack of ownership, and running into their own sort of self-serving corruption.

In “Stranded,” a long-read for Bitcoin Magazine, Human Rights Foundation’s Alex Gladstein accounted for his journey into the mushrooming electricity grids of sub-Saharan Africa: “Africa remains largely unable to harness these natural resources for its economic growth. A river might run through it, but human development in the region has been painfully reliant on charity or expensive foreign borrowing.”

Stable supply of electricity requires overbuilding; overbuilding requires stable property rights and rich enough consumers over which to spread out the costs and financially recoup the investment over time. Such conditions are rare. Thus, the electricity-generating capacity won’t be built in the first place, and most of Africa becomes dark when the sun sets.

Gladstein reports that a small hydro plant in the foothills of Mount Mulanje in Malawi, even though it was built and financed by the Scottish government, still supplies exorbitantly expensive electricity—around 90 cents per kilowatt hour—with most of its electricity-generating capacity going to waste.

What if there were an electricity user, a consumer-of-last-resort, that could scoop up any excess electricity and disengage at a moment’s notice if the population needed that power for lights and heating and cooking? A consumer that could co-locate with the power plants and thus avoid having to build out miles of transmission lines.

With that kind of support consumer—guaranteeing revenue by swallowing any excess generation, even before any local homes have been connected—the financial viability of the power plants could make the construction actually happen. It pays for itself right off the bat, regardless of transmissions or the disposable income of nearby consumers.

If so, we could bootstrap an electricity grid in the poorest areas of the world where neither capitalism nor central planning, neither charity worker nor industrialist, has managed to go. That consumer of last resort could accelerate electrification of the world’s poorest and monetize their energy resilience. That’s what Gladstein went to Africa to investigate the bourgeoning industry of bitcoin miners electrifying the continent.

Bitcoin Saves the World: Energy-Poverty Edition

Africa is used to large enterprises digging for minerals. The bitcoin miners springing forth all over the continent are different. They don’t need to move massive amounts of land and soil and don’t pollute nearby rivers. They operate by running machines that guess large numbers, which is the cryptographic method that secures bitcoin and confirms its transaction blocks. All they need to operate is electricity and an internet connection.

By co-locating and building with electricity generation, bitcoin miners remove some major obstacles to bringing power to the world’s poorest billion. In the rural area of Malawi that Gladstein visited, there was nowhere to offload the expensive hydro power and no financing to connect more households or build transmission lines to faraway urban areas: “The excess electricity couldn’t be sold, so the power stations built machines that existed solely to suck up the unused power.”

Bitcoin miners are in a globally competitive race to unlock patches of unused energy everywhere, so in came Gridless, an off-grid bitcoin miner with facilities in Kenya and Malawi. Any excess power generation in these regions is now comfortably eaten up by the company’s onsite mining machines—the utility company receiving its profit share straight in a bitcoin wallet of its own control, no banks or governments blocking or delaying international payments, and no surprise government currency devaluations undercutting its purchasing power.

No aid, no government, no charity; just profit-seeking bitcoiners trying to soak up underused energy. Gladstein observes:

One night during my visit to Bondo, Carl asked me to pause as the sunset was fading, to look at the hills around us: the lights were all turning on, all across the foothills of Mt. Mulanje. It was a powerful sight to see, and staggering to think that Bitcoin is helping to make it happen as it converts wasted energy into human progress. . . .

Bitcoin is often framed by critics as a waste of energy. But in Bondo, like in so many other places around the world, it becomes blazingly clear that if you aren’t mining Bitcoin, you are wasting energy. What was once a pitfall is now an opportunity.

For decades, our central-planning mindset had us “help” the Global South by directing resources there—building things we thought Africans needed, sending money to (mostly) corrupt leaders in the hopes that schools be built or economic growth be kick-started. We squandered billions in goodhearted nongovernmental organization projects.

Even for an astute and serious energy commentator as Bryce, not once in his 40-page report on how to electrify the Global South did it occur to him that bitcoin miners—the very people who are turning the lights on for the poorest in the world—could play a crucial role in achieving that.

It’s so counterintuitive and yet, once you see it, so obvious. In the end, says Gladstein, it won’t be the United Nations or rich philanthropists that electrifies Africa “but an open-source software network, with no known inventor, and controlled by no company or government.”