A historical and forward-looking framework for understanding what people value—and how entrepreneurs can respond.
NYCIconsult | October 2026 | Outlook: 2026–2036
Technology does not become valuable merely because it is new or powerful. It becomes valuable when it improves something human beings care about: survival, capability, security, relationships, meaning, or future opportunity.
From steam engines and electricity to the internet and artificial intelligence, major innovations repeatedly lower the cost of overcoming a constraint. Yet cheaper production does not guarantee broader prosperity. The benefits may flow to consumers, workers, entrepreneurs, asset owners, or a combination of them—and some people may lose income during the transition.
The central question for 2026–2036 is therefore not simply “What technology comes next?” It is: “Which human need will remain important, which cost will fall, and what scarce capability will customers then pay to access?”
What is value?
Value is the importance people assign to an outcome, experience, resource, or relationship. It can be instrumental—useful for accomplishing another goal—or intrinsic—worth appreciating for its own sake. Economic value is narrower: it concerns exchange, prices, income, and resource allocation.
A lifesaving treatment may have enormous human value even for someone unable to pay for it. A luxury item may sell for a high price despite having little survival value. Price is therefore not a complete measure of human well-being.
| Type of value | What it provides | Examples |
|---|---|---|
| Survival | Preserves life and basic needs | Food, water, shelter, healthcare |
| Functional | Helps accomplish a task or goal | Transport, computing, ultrasound |
| Economic | Supports exchange, earnings, and financial security | Wages, services, assets |
| Social | Improves connection, cooperation, and collective well-being | Education, trusted networks, public safety |
| Psychological | Supports identity, enjoyment, autonomy, or meaning | Art, belonging, achievement |
| Future | Expands tomorrow’s possibilities | Research, skills, children’s education |
These are not six isolated markets. One service can meet several forms of value at once. Medical education, for instance, may improve future opportunity, practical capability, economic mobility, and community health.
The recurring pattern of economic disruption
Across 1770–2026, some of the biggest transformations followed a recognizable sequence: a widely felt constraint became cheaper to overcome; adoption expanded; older jobs and business models faced pressure; and demand grew for complementary infrastructure, capabilities, or institutions.
| Historical shift | Constraint reduced | New sources of value |
|---|---|---|
| Steam and industrial machinery | Cost of mechanical work | Factory organization and industrial capital |
| Railways and telegraph | Distance and communication delays | Logistics, national markets, coordination |
| Electricity and mass production | Power and manufacturing cost | Utilities, appliances, specialized manufacturing |
| Computers and semiconductors | Cost of computation | Software, electronics, digital skills |
| Internet and smartphones | Distribution and access to information | Platforms, online commerce, digital services |
| AI and automation | Cost of selected cognitive tasks | Verification, integration, data, computing and trust |
This pattern is useful for identifying opportunity, but it is not a law of nature. Political decisions, distribution of purchasing power, regulation, competition, and social preferences influence whether a technology takes hold and who benefits.
What could change in the next five to ten years?
The forecasts below are directional scenarios, not numerical probabilities. The core human needs are likely to persist; the tools, prices, and market structures surrounding them may change.
| Value | Likely 2026–2036 shift | Potential new bottleneck | Business response |
|---|---|---|---|
| Survival | More digital support for care, energy, and essential services | Skilled staff, clinical access, reliability | Training, care enablement, safety and quality services |
| Functional | Automation of repeatable office and operational tasks | Integration, validation, maintenance | Industry-specific workflow automation |
| Economic | Changing job tasks and pressure on undifferentiated services | Customer access, differentiation, ownership | Specialized recurring services and intellectual property |
| Social | More synthetic content and digital interactions | Authenticity and trustworthy relationships | Professional communities, trusted referral networks |
| Psychological | Greater personalization and abundant digital entertainment | Meaningful attention and authentic experience | Distinctive in-person and high-trust experiences |
| Future | Cheaper explanations and learning content | Verified competence and practical experience | Assessment, simulation, mentoring, skills programs |
In its 2026 AI Index, Stanford reports that 88% of surveyed organizations used AI in at least one business function in 2025, while AI-agent deployment remained early. The World Economic Forum’s 2025 employer survey estimates that 39% of workers’ core skills will change by 2030. Neither statistic establishes that all affected work will be automated; both suggest significant pressure to adapt.
Healthcare illustrates the difference between inexpensive information and scarce real-world capacity: WHO projects a global shortage of roughly 11 million health workers in 2030, concentrated in low- and lower-middle-income countries. Energy illustrates a second bottleneck: in its 2025 base-case forecast, the IEA projected worldwide data-center electricity use at approximately 945 TWh in 2030, about twice the 2024 level. Forecast uncertainty is substantial.
The commercial lesson: abundance changes scarcity
When basic information becomes plentiful, customers may pay more attention to whether it is correct. When generic tutoring becomes inexpensive, demonstrated competence and practical placements may become more important. When automated interactions become common, a trusted human relationship may differentiate a service.
Do not build a business only around what technology is making abundant. Build around the outcome that remains difficult, trusted, and worth paying for.
Scarcity alone does not guarantee profit. A service must solve an actual problem for an identifiable customer with sufficient ability and willingness to pay. Business costs, competition, legal constraints, and quality assurance can overwhelm apparent demand.
Six routes from human value to sustainable revenue
- Survival: deliver or support essential care, workforce development, safety, housing, food or energy services. Revenue can come from service contracts, training and operations support.
- Functional: automate a repeated and measurable task in a particular sector. Charge for implementation, maintenance, time savings and verifiable results.
- Economic: help individuals or organizations increase productivity, employability, or financial resilience. Build reusable tools or recurring services where appropriate.
- Social: create trusted communities, referral networks, mentorship or vetted professional connections. Revenue requires clear member benefits and careful protection of trust.
- Psychological: deliver distinctive experiences, cultural activities, recreation or qualified coaching. Differentiate through authenticity and customer relationships.
- Future: provide education, assessment, simulations, specialist skills and career development. Sell demonstrable results rather than generic information.
Revenue models can include subscriptions, institutional licenses, project fees, workshops, retainers, and outcome-linked contracts where lawful and operationally appropriate. They should be chosen only after customer validation, rather than assuming recurring subscriptions are universally best.
A practical application: diagnostic medical sonography education
Healthcare education shows how multiple kinds of value intersect. Affordable AI tools can help create practice questions and personalized explanations, but cannot by themselves guarantee clinically safe scanning, valid competencies, placement capacity, or professional credentials.
A specialized imaging education business could test three services: (1) instructor-reviewed ARDMS/ARRT examination preparation and remediation; (2) school-facing clinical placement process and preceptor support; and (3) competency-focused ultrasound workshops and quality-improvement training. Customers might include learners, educational programs, and employers—each with different purchasing needs.
Its defensible advantage would be credible instructional design, real clinical knowledge, reliable assessment, institutional relationships, and measurable learning or operational results. Any claims about examination outcomes, credentialing, accreditation, or clinical performance should be evidence-based and appropriately qualified.
A disciplined strategy for 2026–2036
- 2026–2027 — Validate one customer problem: interview buyers, quantify the current cost of the problem, and pilot one paid offering.
- 2027–2028 — Improve delivery: automate low-risk repetitive work while retaining expert oversight and measuring quality.
- 2028–2031 — Build repeatability: document processes, develop original content or tools, and pursue recurring institutional agreements if customer retention supports them.
- 2031–2036 — Expand selectively: use demonstrated unit economics and customer outcomes to justify new products, specialties, or regions.
For any new opportunity, ask: Is the customer’s problem expensive or urgent? Is the technology now affordable and reliable? What new bottleneck will success create? Who has authority and budget to pay? What proof of outcomes will distinguish the business?
Conclusion
The strongest long-run constant is not any machine or business model. It is the persistence of human needs, combined with the search for better ways to meet them. Innovations can create prosperity by lowering costs, extending capabilities, and opening access—but they also shift earnings and power.
The decisive entrepreneurial skill is to distinguish cheaper tools from more valuable outcomes. For the next decade, durable opportunity may lie where technological abundance meets enduring scarcity: competent care, verified learning, trustworthy relationships, reliable infrastructure, and real-world execution.
Technology changes how value is delivered. Human needs determine why it matters.
Selected sources and further reading
Stanford Institute for Human-Centered AI. The 2026 AI Index Report.
World Economic Forum. The Future of Jobs Report 2025, Skills Outlook.
World Health Organization. Health Workforce overview.
International Energy Agency. Energy and AI: Energy demand from AI (2025).
Editorial note: Projections and strategic recommendations are scenario-based analysis as of October 2026, not promises of financial returns, labor-market outcomes, or technological adoption.