Leapfrogging in the AI Era: How Latecomers Overtake the Leaders

In 2007, only 26% of Kenyan adults had a bank account.

By 2025, 86.6% of Kenya’s entire population uses mobile money (Communications Authority of Kenya). Without ever stepping into a bank branch or owning an ATM card, the country became one where people send money and make payments with nothing but a phone.

The secret is simple. Kenya skipped the entire intermediate stage of banking infrastructure. In tech parlance, this is called Leapfrogging — like a frog jumping over stepping stones all at once, it describes the phenomenon of bypassing existing technology stages to land directly on the latest technology.

In the AI era, this leapfrogging is spreading from the industrial level to the individual level. People who never learned to code are building apps with AI coding tools. Lawyers who once spent five hours drafting legal documents now generate them instantly with AI.

Today, we trace historical examples of leapfrogging success, examine how industries and individuals can make the leap in the AI era, and explore what uniquely human domains must be preserved.

History Proves Leapfrogging — The Latecomer’s Playbook

The Core Formula of Leapfrogging

Absence of legacy systems + accessibility of new technology + people who know the direction. The latecomer’s weakness becomes the springboard for the leap.

1996

CDMA World’s First Commercialization — Korea

US-developed tech, Korea commercialized first — path creation

2007

M-Pesa Launch — Kenya

Bank account 26% → Mobile money 86.6%

2025+

AI Leapfrogging — Global

Industry-level to individual-level leapfrogging era

Leapfrogging is not a recent phenomenon. It’s a pattern that has appeared repeatedly throughout history. The common thread is simple — the weakness of lacking legacy systems becomes the strength of being able to adopt new systems faster.

The Meiji Restoration: Investing in Education, Not Technology

The first textbook case is Japan’s Meiji Restoration (1868–). At the time, Japan was an agrarian, militarily weak nation. Yet within 30 years, it emerged as Asia’s first industrial power. The secret wasn’t mere technology replication. According to CEPR (Centre for Economic Policy Research), Japan “creatively adopted” Western technology — its decentralized political system allowed flexible absorption of Western technology and institutions. This stands in stark contrast to centralized China, which failed at technology adoption during the same period.

The key was education. Japan declared universal education in 1872 and implemented compulsory education by 1890. It laid the human foundation for absorbing technology first. The first condition of leapfrogging: invest in people, not infrastructure.

Korea’s Three Catch-Up Patterns

The second textbook case is South Korea. According to research by Lee & Lim (2001), Korean industries demonstrated three catch-up patterns.

CDMA is particularly notable — while the technology was developed in the United States, Korea was the first in the world to commercialize it. A quintessential case of latecomers “creating the path” before the first movers.

Digital-Era Leaps: Estonia, India, Kenya

Moving into the digital era, the examples become even more dramatic. When Estonia gained independence from the Soviet Union in 1991, it had virtually no landline telephone infrastructure. Yet this “having nothing” became an opportunity in reverse. The country skipped the analog era entirely and went straight to digital governance.

Today, 100% of Estonian government services are available online (e-Estonia official). From birth registration to voting, everything is digital. The core technology — a distributed data exchange platform called X-Road — made it all possible.

India’s UPI (Unified Payments Interface) is another essential example. Launched in 2016, this system processed 228.3 billion transactions in 2025 (Business Standard). That means 85% of all payments in India go through UPI (RBI).

Then there’s M-Pesa, mentioned at the outset. This mobile payment service launched by Safaricom in 2007 transformed a country with 26% bank account ownership into one with 86.6% mobile money penetration. As of 2024, annual transaction volume reached 40 trillion Kenyan shillings (approximately $309 trillion KRW), totaling 28 billion transactions.

The pattern is clear. The absence of legacy infrastructure actually removed barriers to adopting the latest technology. Meiji Japan, CDMA Korea, digital governance Estonia, mobile payments Kenya and India — it’s all the same formula. NFX (venture capital) calls this the “Non-Transactor Advantage”: users without existing systems have zero switching costs, making them the fastest adopters of new technology.

AI-Era Leapfrogging — From Industries to Individuals

LEAPFROGGING KEY METRICS

86.6%

Kenya Mobile Money Penetration

228.3B

India UPI Annual Transactions

39%

WEF Core Skill Change Rate

Now AI is reactivating this formula. According to NFX, the prime targets for AI leapfrogging are industries with historically low SaaS adoption rates — construction, legal, manufacturing, hospitality, agriculture, and education. Many of these industries still rely on pen and paper or 20-year-old legacy systems.

The core formula kicks in: Value of change > Burden of change. Leapfrogging occurs when the value AI provides overwhelmingly exceeds the burden of abandoning existing systems.

EvenUp: The Textbook for the “AI Inside” Strategy

A prime example is EvenUp. This AI legal platform generates demand letters for personal injury lawsuits — documents that previously took lawyers five hours to write — almost instantly. The results are remarkable: 30% increase in settlement values, 3x output, and approximately $100,000 in annual cost savings per attorney (Lightspeed Venture Partners). Over 2,000 law firms use it, with cumulative settlements exceeding $10B (approximately 13 trillion KRW) (Bessemer Venture Partners).

The key is that EvenUp never marketed itself as “we’re an AI company.” This is the “AI Inside” strategy NFX describes — focusing on outcomes, not technology. Lawyers don’t care about AI algorithms; they care about higher settlements and less time spent.

Precision agriculture tells the same story. In a pilot by Microsoft and ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) in Andhra Pradesh, India, AI-optimized sowing timing increased peanut yields by 30% across 175 farms. ClimateAi improved productivity by up to 40% for 100,000 smallholder farmers across 300 Indian villages.

This isn’t just a technology story. For Indian smallholders, AI isn’t a “cool technology” — it’s the 30% yield difference that feeds their families. That’s real leapfrogging.

The GenAI Explosion in the Global South

Looking at the bigger picture, GenAI adoption is exploding in the Global South (developing countries). According to the World Bank (2025), over 40% of global ChatGPT traffic comes from middle-income countries — with Brazil, India, Indonesia, and Vietnam leading the way.

But imbalances persist.

(Source: World Bank, 2025)

Only 14% of AI startups and 9% of funding originate where 83% of the world’s population lives. Paradoxically, this mirrors the exact conditions of historical leapfrogging — the greatest opportunity for leaps exists where legacy infrastructure is absent.

According to NFX’s January 2026 update, as AI coding tools (Cursor, Claude Code, etc.) grow rapidly, an era where non-developers create software is dawning. This is no longer industry-level leapfrogging — it’s individual-level leapfrogging.

Korea’s AI Leapfrogging — Three Fronts

KOREA AI LEAPFROGGING — 3 FRONTS

Lunit — Medical AI

• 3D Breast Cancer AI FDA Approved
• Niche Specialization Strategy
• Path-Creating Pattern

HyperCLOVA X — Language AI

• 6,500x Korean Data vs GPT-4
• 2x Speed, Lower Cost
• Linguistic Advantage Strategy

Samsung — AI Semiconductor

• $310B 5-Year Investment
• 2nm (2025) / 1.4nm (2027)
• Hardware Foundation Strategy

Korea is deploying the same catch-up DNA it demonstrated with CDMA and D-RAM in the AI era, advancing simultaneously on three fronts.

First, Medical AI — Lunit. In November 2023, its 3D breast cancer diagnostic AI (Lunit Insight DBT) received FDA approval (KED Global). It was the first Korean-developed 3D breast cancer AI to do so. The company is now preparing an FDA application for a breast cancer 5-year risk prediction AI (Lunit INSIGHT Risk).

Second, Language AI — Naver HyperCLOVA X. This large language model was trained on 6,500 times more Korean data than GPT-4 (VentureBeat). It offers 2x faster processing speeds and lower costs for Korean language tasks compared to English-centric models, and demonstrates superior reasoning capabilities in Asian languages including Arabic, Hindi, and Thai.

Third, AI Semiconductors — Samsung Electronics. The company announced a record $310 billion (approximately 400 trillion KRW) investment over five years (Serrari Group). HBM investment increased 2.5x in 2024, with targets set for 2nm mass production in 2025 and 1.4nm in 2027. Samsung also joined the OpenAI Stargate initiative alongside SK.

Each strategy differs. Lunit pursues niche specialization, HyperCLOVA X leverages linguistic advantage, and Samsung secures the hardware foundation. The three catch-up patterns Korea demonstrated in the past (path-creating, path-skipping, path-following) are being replicated in the AI era.

The Human Domain — In the AI Era, What Needs Leapfrogging Isn’t Skills but Perspective

LEAPFROGGING KEY METRICS

86.6%

Kenya Mobile Money Penetration

228.3B

India UPI Annual Transactions

39%

WEF Core Skill Change Rate

An uncomfortable question arises: Industry and corporate leapfrogging make sense, but what should individuals do?

The WEF (World Economic Forum) Future of Jobs Report 2025 offers a hint. It projects that 39% of core job skills will change by 2030. A net 78 million jobs will be created, and 59% of the global workforce (120+ million people) will need reskilling.

This isn’t a threat — it’s a window of opportunity for latecomers. When the value of existing skills declines, those who acquire new skills first move ahead. Skill leapfrogging is underway.

The Future Skills WEF Identifies

What matters here is WEF’s top priority skill list.

(Source: WEF Future of Jobs Report 2025)

Technical skills rank at the top, but right behind them are creative thinking and resilience. In an era where AI writes code and analyzes data, what ultimately differentiates is uniquely human capability.

In its January 2026 report “The Human Advantage,” WEF named this “Brain Capital” — the combination of brain health and brain skills. The most important asset humans must invest in during the AI era.

Three Core Competencies

Three competencies are essential.

First, the ability to define problems. GPT writes code and summarizes reports, but it absolutely cannot know what problem needs to be solved. Many people search “what can I do with GPT?” but the truly powerful people are those who identify the “pain points” in their own work. Coding has gotten easier, but asking the right questions has gotten harder.

Second, data literacy. AI is ultimately a data-driven decision-making tool. Using GPT without data is like training a “convincing but unreliable junior employee.” The ability to ask yourself “why did this number come out?” and “does this actually explain the problem?” — that’s literacy in the AI era. If you don’t know the Why, the How is just a faster way to produce garbage.

Third, collaboration and communication skills. Thanks to GPT and Copilot, technical barriers have lowered, but the ability to explain and persuade planners, designers, and marketers about technology is something AI cannot substitute. Ideas that earn empathy get executed — more so than well-designed features. You need to explain technology not in “code” but in “context and analogy.”

What AI Cannot Do: Intention and Context

Ultimately, what humans need to leapfrog in the AI era is not technical skills. The fact that AI can reason but doesn’t know intent, recognizes patterns but doesn’t understand context — bridging this gap is the uniquely human role.

Just as Meiji Japan invested in “education” before technology, just as Korea achieved a world first through the “judgment to commercialize” CDMA, individuals in the AI era must first decide not which tools to pick up, but where to go with them.

Conclusion

The success formula for historical leapfrogging is clear: Absence of legacy systems + accessibility of new technology + people who know the direction. Kenya’s lack of banks gave birth to M-Pesa. Korea’s lack of its own mobile telecom standard led it to be the first in the world to commercialize CDMA.

In the AI era, what are you lacking? And is that deficit perhaps something you can skip over entirely? In an age where you can build an app without knowing how to code and draft a demand letter without being a legal expert, the latecomer’s weapon isn’t “what you have” — it’s “how lightly you can leap.”

One-line comment. The real leapfrogging in the AI era isn’t learning technology — it’s defining the problems that technology should solve.

Takeaway for professionals. Instead of asking “What can I do with GPT?”, ask “What’s frustrating about my work?” first. AI provides answers, but only you can ask the right questions. WEF’s projected 39% change in core skills isn’t a threat — it’s a window of opportunity to get ahead within three years if you start now.

References

• NFX — AI Leapfrogging: How AI Will Transform “Lagging” Industries
• Communications Authority of Kenya — Mobile money subscribers 45.4M, penetration 86.6% (Q3 2024/25)
• Safaricom — M-Pesa Kenya 34M customers, annual 40T KES transactions (FY2023/24)
• Lee, K. & Lim, C. (2001) — Technological regimes, catching-up and leapfrogging (Research Policy)
• CEPR VoxEU — The ideological roots of technological transformation: Meiji Japan versus Imperial China
• e-Estonia — 100% digital government services
• Business Standard — UPI records 228.3B transactions in 2025
• Lightspeed Venture Partners — EvenUp AI legal platform: 3x output, 30% settlement increase
• Bessemer Venture Partners — EvenUp cumulative settlements $10B+, 2,000+ law firms
• Microsoft/ICRISAT — India Andhra Pradesh 175 farms AI sowing optimization, 30% yield increase
• World Bank (2025) — Strengthening AI Foundations: Emerging Opportunities for Developing Countries
• WEF — Future of Jobs Report 2025
• WEF (2026) — The Human Advantage: Stronger Brains in the Age of AI
• VentureBeat — Naver HyperCLOVA X: 6,500x Korean data vs GPT-4
• KED Global — Lunit Insight DBT FDA approval (2023.11)
• Serrari Group — Samsung $310B AI semiconductor investment over 5 years
• OpenAI — Samsung, SK join Stargate initiative

Related Articles

• OpenClaw Update: Mac Mini Sellout Frenzy and the Start of the AI API War
• The Real Bottleneck of the AI Infrastructure War: Power and Semiconductors in the $1,000T CapEx Era
• HBM Update (feat HBF, SK hynix, Samsung Electronics)

Disclaimer: This content is for informational purposes only and does not constitute investment advice. Please consult a professional before making any investment decisions.

Frequently Asked Questions (FAQ)

Q1. History Proves Leapfrogging — The Latecomer’s Playbook?

The core formula of leapfrogging.

Q2. AI-Era Leapfrogging — From Industries to Individuals?

Leapfrogging key metrics.

Q3. Korea’s AI Leapfrogging — Three Fronts?

Korea AI leapfrogging — 3 fronts.

Q4. The Human Domain?

Leapfrogging key metrics.