The AI Gap in Mexico: Why We Are Falling Behind and How We Can Close the Distance

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A few days ago, I had a revealing conversation with Carlos, a PhD-level technology expert who is exploring the landscape of artificial intelligence companies in Mexico. He asked whether I knew of any Mexican startups developing AI or implementing solutions based on that technology. Curiously, that very same day, a friend who had just been hired by OpenAI had raised exactly the same question.

Living in Silicon Valley, where AI dominates virtually every conversation, I found it striking to realize that in Mexico — a country that should be capitalizing on this technological revolution — AI projects are surprisingly scarce. That observation led me to investigate further: why is Mexico falling behind in the artificial intelligence race?

The Enormous Venture Capital Gap

The numbers do not lie, and the difference in venture capital investment between Mexico and the United States is staggering.

The United States invested approximately $178 billion in startups during 2024, with 4% growth compared to the prior year, driven primarily by AI mega-rounds. Mexico achieved $1.67 billion in the same period. While that figure represents an impressive 59% increase over 2023, it still amounts to barely 1% of U.S. volume.

• The United States invested approximately $178 billion in startups during 2024, with 4% growth compared to the prior year, driven primarily by AI mega-rounds.
• Mexico achieved $1.67 billion in the same period. While that figure represents an impressive 59% increase over 2023, it still amounts to barely 1% of U.S. volume.

This disproportion becomes even more critical when we analyze AI-specific investment.

In the United States, 42% of venture capital in 2024 went to artificial intelligence startups. In Mexico, fintech remains the dominant sector, capturing approximately 60% of total investment, while companies focused exclusively on AI barely register on the radar.

• In the United States, 42% of venture capital in 2024 went to artificial intelligence startups.
• In Mexico, fintech remains the dominant sector, capturing approximately 60% of total investment, while companies focused exclusively on AI barely register on the radar.

The Problem of Small Funds

Another determining factor is the size and availability of investment funds.

The U.S. ecosystem operates with 3,417 active VC firms managing $1.21 trillion in assets and $312 billion ready to deploy. A typical U.S. fund manages around $35 million, while the largest exceed $4 billion. By contrast, the average Mexican venture capital fund manages only $10.5 million, with investment tickets that rarely exceed $300,000 at early stages. This capital constraint directly affects startups that require substantial investment to develop complex technologies such as AI.

• The U.S. ecosystem operates with 3,417 active VC firms managing $1.21 trillion in assets and $312 billion ready to deploy. A typical U.S. fund manages around $35 million, while the largest exceed $4 billion.
• By contrast, the average Mexican venture capital fund manages only $10.5 million, with investment tickets that rarely exceed $300,000 at early stages. This capital constraint directly affects startups that require substantial investment to develop complex technologies such as AI.

Focus on Practical Solutions vs. Deep Innovation

Investment patterns reveal fundamental differences in each ecosystem's priorities.

In the United States, investors bet heavily on frontier technologies. Companies like OpenAI and Anthropic have raised billions of dollars to develop AI models that transform entire industries. The vision is to create disruptive technology that defines the future. In Mexico, VCs favor proven business models that solve immediate local problems. The emphasis is on practical solutions for banking, e-commerce, or logistics, using existing technology adapted to the Latin American context. Although these ventures frequently incorporate AI as a tool, few develop it as their core product.

• In the United States, investors bet heavily on frontier technologies. Companies like OpenAI and Anthropic have raised billions of dollars to develop AI models that transform entire industries. The vision is to create disruptive technology that defines the future.
• In Mexico, VCs favor proven business models that solve immediate local problems. The emphasis is on practical solutions for banking, e-commerce, or logistics, using existing technology adapted to the Latin American context. Although these ventures frequently incorporate AI as a tool, few develop it as their core product.

As a Mexican investor told me: "Here we look for growth and profitability, not so much the technology they use to achieve it."

Success Stories: Quality vs. Quantity

Startup ecosystems are nourished by their success stories, and here too there is a notable gap.

The United States is home to 656 active unicorns with a combined value exceeding $2.11 trillion. That impressive track record generates a virtuous cycle: role models, liquidity for reinvestment, and seasoned talent. Mexico has managed to create 8 unicorns, primarily in fintech, retail, and logistics. Companies like Kavak, Clip, and Bitso demonstrate that it is possible to build valuable startups out of Mexico, but they remain exceptions rather than the rule. Moreover, none of Mexico's most successful companies is focused on developing proprietary AI technology.

• The United States is home to 656 active unicorns with a combined value exceeding $2.11 trillion. That impressive track record generates a virtuous cycle: role models, liquidity for reinvestment, and seasoned talent.
• Mexico has managed to create 8 unicorns, primarily in fintech, retail, and logistics. Companies like Kavak, Clip, and Bitso demonstrate that it is possible to build valuable startups out of Mexico, but they remain exceptions rather than the rule. Moreover, none of Mexico's most successful companies is focused on developing proprietary AI technology.

The Obstacle of the Regulatory Framework

Government policies play a crucial role in the development of the entrepreneurial ecosystem.

The United States fosters innovation through flexible corporate structures, tax incentives for investors (such as the QSBS exemption), strong support for research, and a financial ecosystem that facilitates both capital inflows and exits through acquisitions or IPOs. Mexico has made progress with initiatives such as the Fintech Law, which effectively catalyzed investment in that specific sector, but lacks a comprehensive policy for technological innovation. The elimination of INADEM in 2019 reduced direct government support for startups, and there remains a notable absence of meaningful tax incentives for investors in high-risk companies.

• The United States fosters innovation through flexible corporate structures, tax incentives for investors (such as the QSBS exemption), strong support for research, and a financial ecosystem that facilitates both capital inflows and exits through acquisitions or IPOs.
• Mexico has made progress with initiatives such as the Fintech Law, which effectively catalyzed investment in that specific sector, but lacks a comprehensive policy for technological innovation. The elimination of INADEM in 2019 reduced direct government support for startups, and there remains a notable absence of meaningful tax incentives for investors in high-risk companies.

The Barriers Holding Back Our AI Ecosystem

Analyzing these factors together, we can identify six principal obstacles that prevent AI startups from flourishing in Mexico.

Scarcity of specialized local capital, particularly for growth stages. A limited pool of advanced AI talent, with the top specialists constantly brain-draining toward Silicon Valley. A domestic market with lower purchasing power, complicating the monetization of sophisticated AI solutions. Few established exit paths for technology startups (acquisitions or IPOs). Disconnect from global VC networks specialized in AI. A challenging institutional environment that heightens the perception of risk for foreign investors.

1. Scarcity of specialized local capital, particularly for growth stages. 2. A limited pool of advanced AI talent, with the top specialists constantly brain-draining toward Silicon Valley. 3. A domestic market with lower purchasing power, complicating the monetization of sophisticated AI solutions. 4. Few established exit paths for technology startups (acquisitions or IPOs). 5. Disconnect from global VC networks specialized in AI. 6. A challenging institutional environment that heightens the perception of risk for foreign investors.

The Path Forward: Closing the Gap

Despite these challenges, I am convinced that Mexico has a historic opportunity to position itself as a regional leader in AI. To achieve that, we need to act on several fronts.

Mobilize Capital Strategically

Introduce specific tax incentives for investments in AI startups. Channel a small percentage of pension funds (Afores) into technology venture capital. Create government co-investment programs focused on AI, similar to the successful Israeli Yozma model.

• Introduce specific tax incentives for investments in AI startups.
• Channel a small percentage of pension funds (Afores) into technology venture capital.
• Create government co-investment programs focused on AI, similar to the successful Israeli Yozma model.

Develop Specialized Talent

Strengthen academic programs in data science, machine learning, and AI. Create scholarships and incentives to retain specialized Mexican talent. Establish collaborations with leading global AI institutions.

• Strengthen academic programs in data science, machine learning, and AI.
• Create scholarships and incentives to retain specialized Mexican talent.
• Establish collaborations with leading global AI institutions.

Foster AI Applications Tailored to the Mexican Market

Identify sectors where Mexico can develop competitive AI advantages (agritech, smart manufacturing, advanced fintech). Promote collaboration between established corporations and AI startups.

• Identify sectors where Mexico can develop competitive AI advantages (agritech, smart manufacturing, advanced fintech).
• Promote collaboration between established corporations and AI startups.

Create a Progressive Regulatory Framework

Develop a national AI strategy with regulatory clarity. Streamline processes for creating and operating technology startups. Facilitate connectivity with international markets.

• Develop a national AI strategy with regulatory clarity.
• Streamline processes for creating and operating technology startups.
• Facilitate connectivity with international markets.