AI Startup Growth Meets the Defensibility Dilemma
Artificial intelligence makes software faster and cheaper to build, but that speed creates a stark new problem for founders trying to stand out in a crowded market. While AI adoption spreads rapidly through the business world, company creators face mounting pressure to prove their technologies offer genuine differentiation rather than generic output.
AI Adoption Grows as Philippine Digital Economy Expands
Data highlights the sheer volume of new entrants facing this challenge. Stanford’s AI Index 2026 found that 88 percent of surveyed organizations used artificial intelligence in at least one business function during 2025, with 79 percent regularly using generative tools. Over the same period, newly funded AI companies jumped 71 percent globally. Domestically, the Philippine Statistics Authority valued the local digital economy at P2.74 trillion in 2025, accounting for 9.8 percent of gross domestic product and employing 10.39 million workers.
Jonathan Greechan on Proprietary Moats and Customer Workflow
Founder Institute co-founder and Chief Investment Officer Jonathan Greechan argues that technology alone no longer guarantees survival. Startups need a defensible moat built on proprietary data or deep industry knowledge that embeds the company directly into a customer’s daily workflow. “Your data can be a moat,” Greechan said, emphasizing that businesses must become indispensable to how clients operate to prevent easy replacement.
Execution Speed Versus Human Learning
Tools developed over the past eight months have compressed months of software development into days of automated execution. However, Greechan warns that faster execution does not automatically generate real market demand. Artificial intelligence can assist founders in building and measuring products, but “you cannot outsource the learning to the AI,” requiring direct customer conversations to validate actual demand.
Founders Balancing Local Traction and Global Scale
For Philippine founders, Greechan advises establishing traction within a narrow local niche before chasing international expansion. Companies should develop a repeatable playbook at home, expanding across the Philippines and broader Asia before targeting markets like Singapore, London, or Silicon Valley only when customers or investors create genuine demand.
Regional Digital Economy Projections
The latest Google, Temasek, and Bain e-Conomy SEA report projects Southeast Asia’s digital economy to surpass $300 billion in gross merchandise value in 2025, tracking more than $2.3 billion invested across 680 artificial intelligence startups during the reporting period.
What Are the Latest AI and Digital Economy Statistics?
What percentage of organizations used artificial intelligence in 2025?
Stanford’s AI Index 2026 reported that 88 percent of surveyed organizations used artificial intelligence in at least one business function during 2025.
How large was the Philippine digital economy in 2025?
The Philippine Statistics Authority valued the country’s digital economy at P2.74 trillion in 2025, representing 9.8 percent of GDP and supporting 10.39 million jobs.