Hard problems have always existed. What has changed is the economics of solving them. That shift has turned hard problems into market positions. Across health, financial inclusion, land rights, education, legal empowerment, and climate infrastructure, three things are now true:
Outcomes can be measured with far greater precision. People and places can be reached at a fraction of previous costs. Capital can pay for verified results, not just the intent to deliver them.
Taken together, this makes hard problems one of the most significant commercial opportunities of this decade. The question for any leader is:
When does solving this hard problem become cheaper than leaving it unsolved, and what market position does that create?
The leaders this moment needs are not waiting. They have the resources to act, the ambition to build something that holds, and one outstanding question: whether the problem they care about supports a market position rigorous enough to be worth the next decade of attention.
This Brief distils three things every defensible market position in a hard problem gets right: knowing when solving becomes cheaper than the status quo, seeing which barriers are structural versus legacy, and testing whether the model still holds without preferential treatment, subsidies, or other exceptional conditions. The organisations in these pages are operating proof points. They offer a working lens for deciding where to place time, capital, and leadership attention next.
This Brief draws on a study of 26 organisations that are solving hard problems without waiting for permission from large institutions, grant cycles, or the aid architecture that collapsed in 2025. Each picked a single concrete result to deliver, worked out the point where fixing the problem became cheaper than the status quo, and built a market position that strengthens over time. The details of the 26 organisations are in the Soft Power Index; five are profiled in detail here.
With ten minutes, a leader can:
Identify proof of concept: Scan the five featured organisations and note which ones are working on problems or contexts closest to yours. Use them as proof that the kind of problem you care about is becoming commercially viable to solve at scale.
Run the crossover maths to answer one question to drive your strategy: "When does the cost of delivering your solution drop below the growing cost of the status quo, and what position do you hold once that crossover happens?"
The Business Case Calculation in The Close of this Brief applies these three calculations to your specific model - one session, one page, delivered in 48 hours.
The Brief becomes a filter for which problems merit deeper work and where not to spend scarce attention or resources.
Hard problems have not suddenly appeared. They have withstood decades of money, mandates, and missed SDG targets. Improved data, rising conflict, and AI-driven labour disruption have made their persistence harder to ignore and more expensive to avoid.
The mission remains the same; people in need remain in need, in many cases more so than before. What has changed is the solution-side economics: verification is cheaper, delivery costs have collapsed, and outcome-linked capital supported by digital rails now lets you contract against specific results.
This Brief treats hard problems as market positions and translates those shifts into a high-level business case. Leaders who care about a mission can see which problems qualify as real market positions at global scale.
In 2025, the withdrawal of USAID and other major donors exposed a priced, quantifiable gap in essential services where demand did not disappear with the funding. The organisations profiled here are already operating inside that gap, financing verified outcomes rather than intentions, and holding market positions that do not depend on the next budget cycle or institutional permission. Overall, they demonstrate a playbook that other organisations can follow to build durable, market-anchored positions in hard problems.
Hard problems do not sit neatly within one border, mandate, or budget line. They cut across jurisdictions and institutions, outlast political cycles, and reveal where the cost of the status quo already exceeds the cost of structural solutions.
If you are a CEO or Senior Executive:
Your exposure to hard problems is already on your balance sheet, in supply chains that depend on undocumented land, workforces without basic health coverage, or markets where financial exclusion caps your customer ceiling. This Brief helps you calculate whether the economics have crossed, which barriers have come down, and whether a global market position is defensible enough to warrant five years of scarce capital and leadership attention.
If you are an Investor:
You are watching a class of models that do not fit cleanly into your existing frameworks. They operate in domains that used to require subsidy, but the unit economics are shifting faster than your portfolio assumptions account for. This Brief gives you the calculation layer your due diligence is currently missing.
If you are a Founder or Entrepreneur:
You have completed a significant first chapter. This Brief tells you whether your solution costs less than maintaining the status quo, which of your constraints are structural versus inherited, and whether what you have built has global market-position potential or is a well-executed pilot.
If you are a Former Aid or International Development Leader:
You built something real inside the old architecture: networks that took years to earn, operational knowledge no generalist can replicate, and credibility in places that rarely extend it to outsiders. The collapse did not erase any of that. It made it more valuable and harder to deploy. This Brief helps you find a structure that lets you deploy it on your own terms.
If you are at a transition point between capital and architecture:
You have built something significant - a company, a career, a level of capital - and the next chapter has to mean something beyond wealth accumulation. This Brief exists for that calculation.
The old model has exited the field. What remains is a set of open market positions that reward verified outcomes, structural independence, and soft power assets that compound over time. The Business Case Calculation at The Close of this Brief applies these calculations directly to your specific context.
Four observers from different disciplines reached the same conclusion in 2025: the era of foreign aid as the primary tool for solving hard problems is over. Their diagnosis is a market signal - and the starting point for this Brief.
Minouche Shafik
Former Deputy Managing Director, IMF · Former Permanent Secretary, UK Department for International Development · Former President, Columbia University and the London School of Economics
Development Without Aid, Project Syndicate, April 2025
"This year will be remembered as one in which the global development landscape was thrown into unprecedented chaos."
Shafik identifies the fiscal reality. Donor withdrawal coincides with rising debt distress across low-income countries, where aid has always been a minority share of public spending. What remains is a requirement for development to be financed primarily through domestic revenues and alternative sources.
Hippolyte Fofack
Former Chief Economist, African Export-Import Bank · Parker Fellow, Columbia University SDG Center
Dismantling USAID Could Boost African Self-Reliance, Project Syndicate, March 2025
"...after decades of lowering ambitions and outsourcing development..."
Fofack maps the structural cost of aid dependence: trade participation constrained, fiscal capacity weakened, and local enterprises displaced. He frames the current moment as a pivot toward self-reliance, supported by public sentiment across African markets.
Jeffrey Frankel
Professor of Capital Formation and Growth, Harvard University · Former Member, US Council of Economic Advisers
Foreign Aid Looks Good Now That It's Gone, Project Syndicate, May 2025
"A whopping 80% of people in rich countries believed that the share of people in extreme poverty had either plateaued or risen, even though it fell steeply from 1990 to 2013."
Frankel highlights a systemic mispricing in how progress is perceived. Public understanding diverged sharply from actual development outcomes. This Brief provides a way to assess problems and models with greater precision, grounded in measurable results rather than perception.
Ifeanyi M. Nsofor
Public-health physician · Co-Founder, Africa Behavioral Science Network
How Should Africa Respond to Foreign-Aid Cuts?, Project Syndicate, April 2025
"Foreign aid is inherently unreliable... The current financial crisis, then, should serve as a wake-up call."
Nsofor points to the alternatives already in motion: domestic insurance models, diaspora flows, and community-based delivery systems form a foundation for locally financed solutions.
The Fiscal Signal (Shafik): Traditional donor architecture has hit a permanent fiscal ceiling. Development must now be financed through domestic revenue and alternative, outcome-linked sources.
The Structural Signal (Fofack): The collapse of the old model is a forced pivot toward self-reliance. Public demand for domestically financed development is high, creating a market opening for organisations that build local capacity rather than outsourcing it.
The Mispricing Signal (Frankel): A "whopping 80%" of the public misreads development trends, believing poverty is rising when it is falling. This misperception creates misallocated capital, allowing high-return interventions to be cut because decision-makers are responding to a distorted picture of progress.
The Alternative Signal (Nsofor): The unreliability of foreign aid is a wake-up call to activate existing domestic insurance models, diaspora remittances, and community-based delivery systems.
This shift is not a policy correction waiting to happen. The institutional architecture that once managed these problems has not paused, it has exited. The pathway into these problems has cleared in a way it has not been clear before.
The diagnosis is clear: hard problems have not disappeared, but the instruments used to fund them have failed. This convergence leads to a single, high-stakes question for leaders:
Which problems now support a defensible market position, and what does a business case for entering, staying, or stepping out look like?
The answer, across the five hard problems explored in this Brief, is yes. In most cases the market is larger than a billion dollars and is already forming.
I work with leaders to define and validate a market position inside a hard problem. Many of the world's best leaders want to undertake work that delivers measurable positive impact, but up to now it has been difficult to make those results economically sustainable. This Brief exists to help leaders treat hard problems as commercially viable market positions at global scale. It is also an invitation to use soft power and market tools to solve what hard power has failed to fix.
Sophie Krantz
Founder, Soft Power Index
Four structural shifts converged in 2025. Many experienced them as separate, disconnected events; seen together, they reveal a significant market opening and reset how hard problems are framed, financed, and solved. Organisations that have built against all four now occupy positions that the old architecture cannot replicate and the current environment cannot easily displace.
The institutional model of global development rested on three assumptions: that sovereign states would sustain grant-based aid at scale, that multilateral agencies would coordinate delivery, and that funding continuity was the baseline condition for intervention design. All three failed simultaneously in 2025.
What changed in aid flows:
As Minouche Shafik documented in April 2025, the US effectively dismantled USAID while the British government cut its aid budget to redirect funds toward defence spending, with other European donors following suit. These decisions contributed to an estimated 15-25% contraction in global official development assistance within two years, reversing decades of gradual aid expansion (OECD, 2025).
USAID officially ceased operations in July 2025, triggering the immediate liquidation of thousands of programmes across global health, food security, disaster response, and governance (PMC/NCBI, 2026).
The UK's official development budget is set to drop to 0.3% of GNI by 2027/28. Because a large portion of this is spent domestically on refugee costs, the actual capital reaching overseas markets will fall as low as 0.24% of GNI (House of Commons Library, 2026).
Africa will absorb a 40% reduction in bilateral aid in 2026/27 alone (Bond, 2026).
What the wider fiscal picture shows:
This is a hard ceiling, not a temporary reallocation. Global military spending reached US$2.7 trillion in 2024 - the tenth consecutive year of growth, 2.5% of global GDP, and thirteen times total global development aid combined (IISS Military Balance 2026).
In developing nations, every 1% increase in military spending correlates with a near-equal reduction in publicly financed health services (UNRCPD, 2026).
The SDG financing gap has widened to between US$4 and US$6.4 trillion annually (UN, 2026).
As Shafik observed, citing IMF data, more than half of the world's low-income countries are either in debt distress or at high risk, which means there is effectively no fiscal path back to the old model.
War, automation, and the remaining fiscal space:
By early 2026, that trajectory had worsened, not paused. In the first week of the Iran war, US military operations cost more than US$11.3 billion, with a further US$200 billion in supplemental defence funding requested from Congress (New York Times; Politico / Breaking Defense, March 2026).
At the same time, leading fiscal analysts warn that AI-driven labour displacement will erode traditional tax bases and force governments into what Korinek and Lockwood call "ambitious fiscal innovation" just to keep public finances sustainable (Brookings Institution, 2026).
The structural vacancy and local demand:
The collapse created a structural vacancy. The demand for essential services did not disappear with the funding.
Six hundred million children are in school and not learning. 1.1 billion people lack formal land rights. Five billion cannot access basic legal help.
The hard problems have not changed. The architecture that was supposed to address them has exited the field.
An Afrobarometer survey of 34 African countries found that 65% of respondents wanted governments to finance development with their own resources (Fofack, Project Syndicate, March 2025). The demand for structural independence preceded the supply shock. The organisations in the Soft Power Index were already building for that reality.
At the same time, the cost of reaching and verifying each person has dropped to the point where legacy models stopped making economic sense. When you can reach, verify, and support an individual at a fraction of the old unit cost, models that once needed grants or subsidies can suddenly operate on commercial terms.
Cost curves on a downward trend have made the following cheaper:
The cost of frontier LLM inference collapsed by 98% between 2023 and early 2026, dropping from approximately $60 to $0.75 per million tokens (Inkeep, 2026). At current pricing, 50,000 tutoring interactions run for US$200 a month.
Satellite imagery for monitoring and evaluation now costs US$13 per square kilometre for archive data and US$20-30 for fresh tasking (OnGeo Intelligence, 2026).
Digital identity registration now runs at under US$1 per person at national scale (GM Insights / Research and Markets, 2026).
Deworming a child costs approximately US$0.50 and generates an estimated US$169 in lifetime economic returns per dollar spent, based on long-run data from Kenyan cohorts (Evidence Action / GiveWell, 2023).
These are structural shifts, not incremental improvements, and they are still moving. Each year, verification, monitoring, and delivery get cheaper again, widening the gap between old and new economics. A strategy that was marginal yesterday becomes the most cost-effective option today.
The institutional aid architecture depended on a set of chokepoints - gatekeeping functions that controlled who could act, what counted as valid evidence, and how money and authority moved. Each can now be bypassed by organisations with an updated operating model.
Community health workers operating under the DESC model (Digitally Enabled, Equipped, Supervised, and Compensated) produce outcomes that match or exceed clinic-based care at a fraction of the cost, without requiring professional registration as a precondition for delivery.
Legal empowerment organisations provide land tenure, citizenship documentation, and contract enforcement without bar membership, with paralegal networks resolving land disputes that never enter formal courts.
In conflict zones, Hala Systems dissolves the need for an institutional intermediary by making the verification mechanism mathematical rather than reputational.
The chokepoints that constrained the old model were not intrinsic to the problems. They were intrinsic to the institutions that once managed them.
The final shift makes the others investable. For the first time, it is possible to finance a verified outcome unit rather than an input, a programme, or a promise.
The WELLBY, a Well-Being-Adjusted Life Year, is now valued at GB£15,900, endorsed by HM Treasury's Green Book (Sport England Social Value Report, 2025).
One child reading fluently costs US$12 per verified outcome unit (CAFI Executive Board Decision, 2026).
High-integrity carbon credits now require verified land tenure and attract investment-grade capital (UNDP High-Integrity Carbon Markets Initiative, 2025).
Africa's remittance flows exceeded US$100 billion in 2024, outpacing official development assistance (Nsofor, Project Syndicate, April 2025; World Bank data).
India's UPI processed 16.6 billion transactions in February 2026 - US$274 billion in value, a 34% year-on-year increase (MEXC News / NPCI data, 2026).
Brazil's Pix has onboarded 170 million users, 93% of the adult population, and processes more daily transactions than Visa and Mastercard combined (Silicon Canals / EBANX, 2026).
The UPI stack is now licensed to Peru, Namibia, and Trinidad and Tobago (Observer Research Foundation, 2026).
Capital that once had no way to enter these problems now has a clear route in. Models that can define and verify a specific result are becoming the standard.
The system that funded the old model no longer fits inside any plausible government or donor budget. What it leaves behind is the market: a set of hard problems where the cost of the status quo exceeds the cost of structural solutions. The moment solving becomes cheaper than not solving - the Crossover Point - can now be calculated rather than guessed.
The 26 organisations in the Soft Power Index, and the five profiled in the next section, have proved this logic. Their cost bases are falling, their outcomes are verified, and their models travel across borders and institutions without relying on a particular headquarters, founder, or funder to function.
The five organisations in this section show that solving a hard problem can lead to a viable market position. They do this across five domains: behavioural credit rails for the informal economy, conflict-zone evidentiary architecture, smallholder agricultural finance, government-contracted child survival, and social coordination infrastructure.
For each organisation, three calculations are applied:
The point at which solving becomes cheaper than leaving the problem unsolved (The Crossover Point)
Which barriers are structural versus inherited (The Chokepoint Map)
Whether the model holds without the originating organisation (The Voltage Test)
Consumer Credit Infrastructure · Kenya-Based · Serving 7 million customers across Africa
More than 400 million people across sub-Saharan Africa cannot access credit to purchase essential assets such as mobile phones, solar home systems, and appliances because they have never been given the opportunity to prove they can repay. Traditional financial systems require a formal credit history as a prerequisite for any loan. For customers operating in the informal economy, that history does not exist. The barrier is the absence of a mechanism to generate the evidence of creditworthiness that formal systems demand before extending credit.
The consequences compound. Without a mobile phone, a customer cannot access mobile money, digital health services, or agricultural market prices. Without solar, a household pays more for kerosene than a solar system would cost on a payment plan. Without a credit history, none of these assets are accessible through formal finance.
The constraint is architectural. These customers are credit invisibles, with real repayment capability but no recognised financial identity because no system has been built to create it. M-KOPA recognised the absence of records as the product opportunity.
M-KOPA holds a structurally defensible position by providing Pay-As-You-Go (PAYG) asset finance built on mobile money and real-time behavioural data. It did this by making the loan the mechanism for generating credit history rather than the reward for having it, turning repayment behaviour into a continuously improving financial identity for customers traditional finance cannot see.
Traditional banks calculated the economics of serving this market and reached a consistent conclusion: the fixed cost of underwriting and servicing a US$200 device loan exceeded the expected return from a customer with no credit history and no formal collateral. Exclusion was the rational outcome.
M-KOPA changed the calculation on both sides simultaneously. PAYG technology and mobile money infrastructure collapsed the cost of daily micro-payment collection to near zero. Real-time behavioural data transformed each repayment event from a transaction into a data point, building a credit profile that increased in value with every payment.
The Crossover Point was reached when M-KOPA's digital infrastructure made the marginal cost of serving a customer lower than the long-run cost of excluding them. Seven million customers and US$2 billion in extended credit are the commercial evidence. The economics of exclusion have inverted.
For traditional finance, the primary chokepoint was eligibility screening. A formal credit history was treated as a non-negotiable prerequisite for any asset loan. The circular logic was structural: you needed credit history to get credit, but you could only build credit history by getting credit. For 400 million people in the informal economy, this loop had no entry point.
M-KOPA removed it by inverting the logic entirely: the loan generates the credit history rather than requiring it. The chokepoint was a feature of the institutions. Once the infrastructure changed, the barrier disappeared.
The Voltage Test for a consumer credit model asks whether the repayment architecture holds when favourable conditions of early adoption give way to the normal conditions of a maturing market.
M-KOPA passed this test through a mechanism that is structurally unusual in consumer finance: the model becomes more robust as it scales. A customer who finances a solar home system and repays on schedule builds a credit profile that qualifies them for a smartphone. Each graduation event deepens the behavioural dataset, sharpens the scoring model, and generates a more valuable customer relationship. The model holds because the incentive architecture makes repayment the rational choice for customers who want access to the next asset.
M-KOPA's soft power is a behavioural dataset built on 7 million customers who do not exist in any formal financial record, earned one repayment at a time, across mobile money rails.
A competitor launching an instalment plan today starts with zero behavioural data. M-KOPA starts with seven million customers and years of repayment signals already priced into its model. The gap widens with every transaction.
For a Global Market Scale where 57% of sub-Saharan Africa's population remains unbanked (AFIS, 2025), and where more than 620 million people will enter the region's labour force between 2025 and 2050 (World Bank, 2025), owning the primary behavioural credit rail is the foundational financial-identity infrastructure for the fastest-growing unbanked population on earth.
Humanitarian Technology · Portugal-Based · Operational in global conflict zones
In active conflict zones, the time between an airstrike and civilian impact is measured in minutes. Warning systems that cannot operate within that window do not save lives; they document deaths. For decades, the systems required to warn civilians and record attacks relied on human observers who needed physical access to conflict zones, institutional backing to be believed, and weeks or months to produce evidence that courts would accept. All three requirements failed simultaneously in modern warfare.
The result was a structural accountability gap. The problem was never a lack of witnesses. It was the absence of a verification mechanism that could operate at conflict speed, without physical access, and produce evidence that courts would accept without requiring a human intermediary.
Hala holds a structurally defensible position by providing real-time, machine-verified evidence from zero-trust environments, including Syria and Ukraine. This was achieved by replacing institutional verification with cryptographic provenance, making machine-generated evidence admissible in courts and actionable in the field without requiring a human intermediary.
Under the previous model, the cost of verification was prohibitive and the output was unreliable. The lower-cost outcome for perpetrators was impunity.
Hala changed the economics of both sides simultaneously. For civilians, the marginal cost of an additional early warning alert, once the system is deployed, is negligible. For perpetrators, machine-verified evidence with cryptographic provenance is significantly harder to contest than human testimony.
The Crossover Point was reached when Hala's architecture made the marginal cost of generating an additional alert negligible relative to the value created. This threshold is evidenced by casualty reductions of 20-27% in monitored zones and the production of the first ICC Article 15 dossier supported by blockchain-verified data.
To legacy stakeholders, the binding constraint appeared to be institutional authority - the established belief that evidence of conflict required official validation to carry legal weight. Each mechanism addressed the documentation problem while leaving the verification problem intact.
The structural constraint was physical access. Human observers cannot safely enter active conflict zones at the speed modern warfare requires.
Hala dissolved this chokepoint by replacing the chain of custody with a chain of provenance secured by code. By making the verification mechanism mathematical rather than reputational, Hala bypassed the institutional gatekeeping layer entirely.
The Voltage Test for an evidentiary architecture asks whether the model holds without the founder, and whether the evidence it produces retains legal weight without the organisation present to defend it in court.
Hala passed that test at the highest possible standard. The ICC Article 15 dossier it produced - the first ever supported by blockchain-verified data - was accepted as legally admissible without requiring Hala's ongoing presence to validate the chain of custody.
Beyond a product, Hala is building a standard. Standards outlast their creators. The model holds without Hala. It extends beyond it.
Hala's soft power is verifiable credibility in environments where facts are the first casualty, built through mathematical proof in active conflict zones where every data point is contested.
A rival can buy the same sensors. They cannot buy the years of machine-learning refinement trained on real conflict data, the legal vetting required for ICC admissibility, or the courtroom scrutiny that has already established Hala's evidence chain as reliable in high-stakes decisions.
For a Global Market Scale of 2.1 billion people living in contexts of high and extreme fragility, representing 25% of the world's population and 72% of its extreme poor, owning the primary truth protocol for zero-trust environments is the foundational evidentiary infrastructure for the most contested decisions of this decade (OECD States of Fragility, 2025).
Agricultural Finance · Kenya-Based · Reaching farmers across 9 countries in Sub-Saharan Africa
Smallholder farmers cultivating one to two hectares across sub-Saharan Africa produce more than 70% of the food calories consumed across the region. They do this at subsistence margins, without reliable access to quality seeds and fertiliser at the right time, seasonal credit to purchase them, and agronomic training to use them effectively.
The conventional response compounded the problem. Separate programmes for inputs, credit, and extension services were delivered through different institutions on different timelines. Smallholder agriculture became a permanent subsidy line-item, treated as a welfare problem rather than a financeable market.
One Acre Fund holds a structurally defensible position by providing a bundled financing and delivery model for smallholder farmers. It did this by bundling inputs, credit, training, and market access into a single seasonal contract, replacing the fragmented overhead of conventional agricultural finance with a model aligned to how smallholder farmers actually operate.
Under fragmented approaches, the true cost of smallholder agricultural support was hidden across multiple budget lines. One Acre Fund changed the unit economics by collapsing those separate channels into a single seasonal contract.
The Crossover Point was reached when those bundled unit economics across millions of farmers made smallholder agricultural finance commercially viable without grant subsidy. A 50% yield increase in the first season proves the model delivers. Repayment rates consistently above 95% across nine countries prove the financial architecture is sound.
Conventional financial systems treated farmer risk as a structural barrier. The assumption was that smallholders were inherently unbankable. This assumption was inherited from a banking architecture designed for large, formal borrowers.
One Acre Fund dissolved this legacy chokepoint through design. Group-based credit replaced individual collateral requirements. Bundled service delivery replaced fragmented overhead. Aligning repayment with seasonal harvest cycles eliminated the structural mismatch between conventional loan schedules and agricultural cashflow.
A 95% repayment rate maintained across nine countries, through multiple seasons of drought, and through the global supply disruptions of 2020-2025, is a product of model design. By aligning its own balance sheet with farmer harvest outcomes, One Acre Fund built an incentive structure where the organisation's financial health depends on farmer success. A model that depends on farmer success for its own financial health produces different incentives than one funded regardless of results.
One Acre Fund's soft power is a bundled promise, backed by the balance sheet to deliver it. A bank, a trader, or an input supplier can each offer pieces of this separately. None can offer them together, at the last mile, aligned to a harvest cycle, with a 95% repayment rate proving the design works.
For a Global Market Scale of 475 million smallholder farms worldwide, producing more than 70% of food calories consumed across sub-Saharan Africa and Asia (The Lancet, 2017), the bundled model One Acre Fund has proven across nine countries is the only commercially validated operating system for smallholder agricultural finance at scale.
Community Health · Kenya-Based · Serving 4.2 million people across East and West Africa
Preventable child deaths persist because the delivery architecture fails at the last mile, the household level where routine prevention needs to happen and where clinic-based systems cannot reach.
Clinics are too distant for routine visits in rural East Africa. Volunteer community health workers lack the supervision, data systems, and compensation structures required to perform consistently at scale. Without consistency, outcomes cannot be measured. Without measurement, governments cannot price the intervention.
Living Goods holds a structurally defensible position by providing a community health system that delivers verified mortality reductions at the household level. It enables governments and funders to contract for specific health outcomes per person, rather than funding inputs or volunteer networks with uncertain results.
Living Goods introduced a measurable unit of survival. The DESC model - Digitally-enabled, Equipped, Supervised, and Compensated - replaced the volunteer architecture with a professionalised, data-generating workforce. Two gold-standard Randomised Controlled Trials established a 27-28% reduction in under-five mortality at a cost of approximately US$3.09 per person per year.
The Crossover Point was reached when that cost per verified outcome became lower than the systemic costs of preventable death. County-level contracts in Isiolo and Kisumu are the commercial proof.
The perceived constraint in community health was affordability. Conventional wisdom held that last-mile delivery required unpaid volunteers to remain economically viable.
Living Goods dissolved the chokepoint by demonstrating that compensated, digitally supervised workers outperform volunteer models in consistency and cost-effectiveness per life saved. The affordability assumption had the logic backwards: compensation improves delivery performance, and better performance generates the data that makes the intervention measurable, which in turn makes it financeable.
Living Goods passed the Voltage Test through the most demanding mechanism available: government contract institutionalisation. The DESC model is no longer an external project operating alongside public health systems in Kenya. It is a funded public service, contracted at the county level, with mortality-reduction targets priced into government budgets.
Living Goods' soft power is actuarial legitimacy, built in the only place that matters for a Ministry of Finance: the evidence base. It was built through two gold-standard randomised controlled trials, a decade of clinical scrutiny, and county-level government contracts in Kenya that now price a verified child survival outcome at US$3.09 per person per year.
For a Global Market Scale where 4.9 million children died before their fifth birthday in 2024, most from preventable causes that proven, low-cost interventions could have avoided (WHO, 2026), the solutions exist. The delivery architecture to reach them does not. That architecture is the market.
Community Education · Senegal-Based · Operating across 8 countries in West and East Africa
Female genital cutting (FGC) and child marriage persist across eight countries in West and East Africa because change requires many families to act together at the same time. A single family abandoning a harmful norm while others maintain it faces social exclusion, reduced marriage prospects, and economic marginalisation. Top-down campaigns, legal bans, and awareness programmes misdiagnosed this as an information or enforcement problem and failed accordingly. The real constraint is a coordination problem in a high-stakes social market.
Tostan holds a structurally defensible position by providing the primary coordination mechanism for collective action. It did this by converting the community itself into the delivery system, replacing external coordination with locally held social infrastructure that makes collective abandonment the lower-cost social choice.
Before Tostan, maintaining harmful practices was the safer economic and social choice. Tostan changed the trade-offs by enabling public, collective decisions at the community level.
The Crossover Point was reached when the Collective Abandonment model delivered a stable new social equilibrium: the reputational and social cost of staying outside the new norm became higher than joining it. More than 10,324 public declarations of abandonment across eight countries represent communities that have calculated the new norm as the lower-cost choice.
To legacy stakeholders, the binding constraint appeared to be professional expertise - an inherited assumption that behaviour change required external actors, formal programmes, and centralised delivery infrastructure.
The structural constraint was the cost of fragmented decision-making. A single family acting alone faced prohibitive social and economic risks that information alone could not dissolve. Tostan dissolved this legacy chokepoint by converting the community itself into the delivery system.
A UNICEF evaluation recorded sustained results 8-10 years after the initial intervention, in communities that had received no further programming. The Government of Senegal has integrated the model into national strategies, and ten UN agencies have adopted it as a reference framework. The model holds without Tostan. It holds without anyone.
Tostan's soft power sits in a proprietary social API that others cannot easily copy and cannot acquire. It was built from twenty years of presence: locally selected facilitators, existing social structures, and a collective abandonment mechanism that made joining the new norm safer than staying outside it.
For a Global Market Scale of 957 million people across West and East Africa, the two fastest-growing demographic regions on the continent, the coordination infrastructure Tostan has built in eight countries represents the primary replicable model for collective norm change at scale.
Each profile makes three things visible in real numbers:
When solving became cheaper than leaving the problem unsolved (The Crossover Point)
Which barriers were structural versus merely legacy or institutional (The Chokepoint Map)
Whether the model holds without the originating organisation or founder (The Voltage Test)
The next section formalises the logic behind these positions into three calculations any leader can run against your own model.
The success of the five organisations above rests on a shared set of calculations anchored in a defined Outcome Unit. This logic serves as the blueprint for building a market position in a hard-problem domain. The Framework requires calculating the gap between the current status quo and a structural solution across three dimensions:
The Crossover Point: The moment it becomes cheaper to solve the problem than to leave it unsolved.
The Chokepoint Map: Distinguishing between real structural barriers and legacy gatekeeping functions that only exist because past institutions required them.
The Voltage Test: Determining if a model holds when the founder, funder, or special conditions disappear.
Before any calculation is run, there is a definitional step. What is the single unit of change this model produces - and how is it verified? One child reading fluently. One household with formal land tenure. One community health worker visit that prevents a preventable death. One farmer with a 50% yield improvement in season one. One household with a solar home system and a mobile money repayment history.
The Outcome Unit is a market position statement, not a metric. It allows pricing, comparison, and financing decisions to be made against a defined result. It says: this is what we deliver, this is how we know we delivered it, and this is the cost. Everything else follows from it.
For the five organisations detailed above, the Outcome Unit can be defined as:
One asset-financed household with a clean PAYG repayment history (M-KOPA).
One verified early-warning alert or admissible incident record (Hala).
One farmer completing a full bundle cycle with documented yield and income gains (One Acre Fund).
One child covered under a DESC community-health system for a year (Living Goods).
One community publicly abandoning FGC and child marriage (Tostan).
For a high-level business case, the Outcome Unit is the anchor: it turns an abstract ambition into a priced, verifiable result you can plan around, finance, and compare against the cost of doing nothing. When you apply that unit to the Global Market Scale - the total addressable market in people, communities, or systems affected - it becomes possible to quantify the multi-billion-dollar structural vacancy your model is designed to fill.
The Crossover Point is the moment, and the trajectory, at which solving the problem structurally becomes cheaper than leaving it unsolved. Both curves are moving. The cost of the solution falls as technology deflates and scale accumulates. The cost of the status quo rises as the problem compounds and institutional alternatives exit. The crossing often arrives earlier than a static, one-off comparison would suggest.
This calculation is concrete. Research by Nicholas Pleace for Crisis UK established that the annual cost to the public purse of a single person sleeping rough is GB£20,128, across emergency services, healthcare, temporary accommodation, legal costs. The cost of a successful early intervention to prevent that homelessness: GB£1,426 (Pleace / Crisis UK, At What Cost?, 2015). A 14-to-1 ratio. The crossover has already happened. The question is whether the model is designed to act at scale.
Living Goods crossed when two RCTs established that the DESC model delivered a 27-28% child mortality reduction at US$3.09 per person per year - cheaper per outcome than what the Kenyan government was already paying. M-KOPA crossed when mobile money penetration made daily micro-payment collection more reliable than monthly instalment enforcement. One Acre Fund crossed when the bundle's unit economics across one million farmers made smallholder agricultural finance commercially viable without grant subsidy.
The Crossover Point is a calculation to run. It determines where to focus, when to act, and how to allocate time, capital, and attention. It is also often where a durable competitive edge emerges, because the first organisations to cross and recognise it can reshape the market while others are still funding the status quo.
Every hard problem has a set of structural constraints that have historically made it resistant to solution. Some are intrinsic to the problem. Most are intrinsic to the institutional architecture that attempted to solve it - and fall away when that architecture is replaced.
The Chokepoint Map is the tool that shows you which barriers are real and which ones you can work around. Structural chokepoints are the hard constraints any model must deal with: physics, law, geology, core infrastructure. Legacy chokepoints are gatekeeping functions that exist because past institutions needed them - and many of them disappear once you design a different architecture. Seeing the difference is what stops you from over-engineering for yesterday's obstacles and lets you focus effort where it actually moves the problem.
M-KOPA dissolved the credit history requirement by making the loan the mechanism for generating it.
Hala dissolved institutional evidence custody by replacing the chain of trust with a chain of provenance secured by code.
One Acre Fund dissolved the unbankability assumption by replacing individual collateral requirements with group-based credit aligned to harvest cycles.
Living Goods dissolved the volunteerism assumption by proving that compensation improves rather than corrupts community health delivery.
Tostan dissolved professional gatekeeping by making the community the delivery mechanism.
Once you are clear on what will stick and what can be worked around, you can deploy resources, focus, and effort where they actually move the needle. That clarity turns the outcome you are aiming for into a credible target for investment.
A model that works at one scale because of a founder's relationships, a single funder's commitment, or a temporary regulatory window is not a market position. The Voltage Test asks whether the model still holds when those conditions change - when leadership turns over, grants end, or the policy environment shifts.
If removing one person from the model causes it to fail, the model has not yet found its architecture. The organisations in this Index have passed the Voltage Test not because their founders are irreplaceable but because the incentive structure is embedded in the model's design - in the repayment architecture, the community ownership, the government contract, the verified outcome unit.
For a high-level business case, the Voltage Test is the part that tells you whether you are looking at a durable market position or a one-off project, and whether it is worth committing scarce leadership time and capital to scale it.
The Outcome Unit defines what you are pricing. The Crossover Point shows when the economics are in your favour. The Chokepoint Map shows how to reach scale without surrendering your leverage. The Voltage Test shows whether what you build holds when initial conditions change.
Run these calculations on a defined Outcome Unit and apply them to the Global Market Scale of the problem, and you have a market position, not a programme. This turns a single-unit cost into a multi-billion-dollar market opportunity.
Hard problems, solved at global scale, with verified outcomes and a cost base that drops every year: that is not a gap in the market. That is the market.
The organisations in this Brief did not build their positions on mission alone. They calculated the actual numbers - the cost of the status quo, the price of a verified outcome, the point where solving became cheaper than leaving the problem unsolved - and built from there. The Business Case Calculation applies the same logic to your specific problem, model, and assets.
In 90 minutes, we move from your current position to a structured market case:
Your Outcome Unit and Market Scale. We define the single, priced, and verifiable unit of change your model produces, then apply it to the total addressable market. One unit becomes a quantified global opportunity.
Your Crossover Point. We calculate the trajectory where solving your problem becomes cheaper than the status quo, and identify the specific threshold where your model becomes the commercially rational choice for a buyer.
Your Chokepoint Map. We distinguish the real structural barriers from the legacy gatekeeping functions that only exist because past institutions required them, and map the architecture needed to bypass them.
Your Voltage Test. We stress-test your model's structural independence - whether it holds and compounds when the founder, the anchor funder, or the special conditions are removed.
This calculation does specific work for each leader:
For a CEO or Board: Your exposure to hard problems is already on your balance sheet, in supply chains, workforces, or markets where the status quo is a compounding liability. This calculation tells you whether owning the structural solution is commercially rational, and what the capital case looks like either way.
For a Founder or Entrepreneur: Your model works at current scale. This calculation tells you whether your Crossover Point is real, and whether what you have built is a market position or a well-executed pilot, before the next funding conversation.
For an Investor: This calculation gives you the assessment layer your due diligence is missing - a structured way to determine whether a position is investment-grade, where the compounding comes from, and whether it holds without ongoing subsidy.
For a Former Aid or Development Leader: Your networks, operational knowledge, and credibility in the field are more valuable now than they were inside the old architecture. This calculation maps where those assets create a structural position in the new one.
For a leader at the transition point between capital and architecture: You can see the problem. You have the resources to act. What you do not yet have is the calculation that tells you whether the position is real and whether you are the right person to hold it. This is where that calculation begins.
Most people with the resources and the ambition to build inside a hard problem spend years in the circling phase - funding pieces of it, joining the right boards, speaking about it at the right forums. This calculation ends the circling.
One calculation. One page. A decision you can act on.
Book your Business Case Calculation →We are in a period of architectural collapse, where the old ways of solving hard problems are becoming structurally precarious and the new ways are becoming commercially viable. The organisations in the Soft Power Index calculated the actual numbers, identified the chokepoints, and built positions that compound because the underlying economics are on their side.
The market positions exist. The economics are visible. The constraint is whether you act before they are crowded.
Sophie Krantz works with leaders who have the resources and the ambition to build a market position inside a global hard problem, and who need the architecture to do it.
She created the Soft Power Index, the only public scored ranking of non-state organisations solving hard problems from positions of structural independence, and developed the Three Calculations framework - the Crossover Point, the Chokepoint Map, and the Voltage Test - which determines whether a problem supports a defensible market position and what it takes to hold one.
Her institutional background spans the International Trade Centre (UN/WTO), Swiss Re, where she reported to the Chairman of Global Partnerships, and BlueScope, across cause areas including financial inclusion, agricultural development, and emerging markets economic strategy in over twenty countries. She writes and publishes at sophiekrantz.com.
Each organisation is scored across three weighted dimensions: Soft Power (SP, 45%), Hard Problem Fit (HPF, 35%), and Capacity (CAP, 20%). Scores are editorial judgements based on publicly available information and are updated quarterly. All scores are open to dispute.
Every entry must pass six qualitative filters to qualify for inclusion:
Soft Power as Primary Instrument: influence, trust, and model design are the primary levers, not capital or state authority.
Legible Refusal: the organisation has a documented record of declining opportunities that conflict with its model or values.
Costly Commitment: the organisation has made commitments that are genuinely costly to reverse.
Hard Problem Specificity: the hard problem addressed is precisely defined, not a broad aspiration.
Model Export: the core logic of the model can travel without the founding organisation being physically present.
Honest Tension: the organisation acknowledges and documents the tensions inherent in its work.
The Pathfinder Track identifies organisations approaching the Crossover Point - with a forward financing signal, a capability threshold recently crossed, or a government adoption indicator in the pipeline. Pathfinder status is a forward signal, not a current achievement.
Soft Power Index scores are editorial judgements based on publicly available information. They are open to dispute and updated quarterly.
Shafik, M. "Development Without Aid." Project Syndicate, 18 April 2025. project-syndicate.org
Fofack, H. "Dismantling USAID Could Boost African Self-Reliance." Project Syndicate, 25 March 2025. project-syndicate.org
Frankel, J. "Foreign Aid Looks Good Now That It's Gone." Project Syndicate, 21 May 2025. project-syndicate.org
Nsofor, I.M. "How Should Africa Respond to Foreign-Aid Cuts?" Project Syndicate, 11 April 2025. project-syndicate.org
IISS. The Military Balance 2026. London: International Institute for Strategic Studies, 2026.
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Evidence Action / GiveWell. Deworm the World. 2023.
Pleace, N. / Crisis UK. "At What Cost?" London: Crisis, 2015.
Living Goods: Uganda RCTs (2013, 2021). livinggoods.org
Tostan: UNICEF evaluation; Government of Senegal adoption records. tostan.org
One Acre Fund: Impact Report 2024. oneacrefund.org/impact
M-KOPA: Investor and impact data 2025. m-kopa.com
Hala Systems: Internal verified operational data. halasystems.com
The analysis and frameworks in this Brief are strategic tools, not regulated financial, legal, or investment advice. Readers making commercial decisions on the basis of this material should satisfy themselves with appropriate professional counsel for their specific circumstances.
Soft Power Brief Q1 2026. Published April 2026. All rights reserved. Sophie Krantz / Soft Power Index. Content may be cited with attribution. Reproduction in full requires written permission.
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