Catching Up to the AI Ecosystem Elite: Focus on Policy Action

Session Description

We are in 1994 again, two years into a bigger revolution than after the launch of Netscape. SV has already re-concentrated global startup ecosystems, capturing 65% of global funding to AI-native startups. Will you make smart and early policy investments like Israel and Singapore did in 1994–without platform investments–to reap enormous national benefits for decades? Or will you wait, fall behind, and try to play catchup? AI-native ecosystems require new policy actions, rapidly. Come learn from the new winners that are pulling ahead by joining top government, agency, and academic leaders in Startup Genome’s AI-ecosystem advisory board.

This session explores:

• Policy actions and initiatives that AI ecosystems winners have already taken
• Why some of these winners–like Israel and Singapore in the 1990s–are leading without huge platform and data processing spending
• Specific community development, funding, and talent strategies that are most effective at catching up to the AI revolution
• AI program and corporate insights from all over the world 

Session Recap

(AI-generated session recap made available by Google NotebookLM)

Brief Summary
Join JF Goautier, CEO and founder of Startup Genome, and Josh Learner, Head of Entrepreneurship Faculty at Harvard Business School, as they explore the challenges and opportunities for governments seeking to foster innovation and job creation in the age of Artificial Intelligence. This session delves into why traditional approaches fall short and what new policies are needed to ensure AI benefits reach beyond established tech hubs.

In this insightful session, JF Goautier and Josh Learner discussed the unique nature of the AI revolution and its highly concentrated growth and funding in places like the US and China. They argued that this third era of exponential growth demands a departure from traditional startup ecosystem development strategies. Drawing on historical examples and data, they highlighted the importance of governments adopting entrepreneurial AI policies focused on cultivating local AI native startups through specialized community building, programs, talent access, and investor training, rather than primarily investing in large-scale infrastructure or fundamental research. The speakers emphasized that early and targeted investment in the ecosystem's activation phase is crucial for long-term success and widespread job creation.

Outline

• Introduction of the speakers and the session topic: Building Ecosystems in the Era of AI.

• Startup Genome's role and impact in advising governments globally on ecosystem strategy.

• Defining the current "third era" of exponential growth driven by AI.

• Discussion of the extreme concentration of AI ecosystem value, jobs, and funding globally.

• Lessons from historical tech shifts and the success of early government interventions in countries like Israel and Singapore.

• The critical need for governments to act rapidly with specific entrepreneurial AI policies.

• Exploring why AI native startups require different support mechanisms than traditional tech startups (e.g., lean startup limitations).

• Characterizing the current state of most global ecosystems as being in the "activation phase" for AI native startups.

• Challenges in encouraging founders and investors to transition to AI native ventures.

• Insights from Josh Learner on disruptive technologies, their concentrated origins, and the tendency for higher-paying jobs to remain concentrated.

• Analysis of venture funding patterns in AI, showing even greater concentration than general venture funding.

• Critique of policies that focus predominantly on hardware, infrastructure, or general research instead of targeted entrepreneurial support.

• Presentation of the key pillars for building successful AI ecosystems: Community, Programs, Talent, Funding, and Infrastructure.

• Specific strategies for building AI community and its proven impact on startup growth.

• The necessity of AI-specific programs, focusing on early-stage creation (pre-accelerators, incubators) and adapting methodologies for AI's unique challenges (e.g., testing).

• Strategies for fostering local AI talent and ensuring startups can access it competitively.

• Detailed discussion on funding challenges for AI startups, the role of angels and VCs, the need for larger rounds, and why grants may be less effective than de-risking angel investment.

• Considerations for infrastructure policy, such as providing credits for platform access.

• Review of current global policies, noting a general lack of aggressive entrepreneurial AI focus.

• Q&A session addressing specific questions on building ecosystems in smaller countries (focus on applications/niches) and identifying surprising factors in ecosystem growth (unglamorous sectors, individual inspirers).

Notable Quotes

• "And we're saying why don't you put 25% of the budget. Don't put $2 billion in an infrastructure. Put 1.5 billion and actually start really acting on your local entrepreneurship." - JF Goautier

• "...by and large the best jobs associated with new technologies tend to stay in the places that they originate while the lower quality jobs tend to sort of spread out more." - Josh Learner

• "Grants don't work." - JF Goautier

• "The golden egg is the army of entrepreneurs that say, I'm going to take this and I'm going to create a business here that's going to export and make money and hire local people. This is your golden egg." - JF Goautier

Key Takeaways

• AI Growth is Concentrated: The significant value creation, jobs, and funding in the AI era are currently highly concentrated in a few global hubs.

• Entrepreneurial AI Policies are Crucial: Governments must move beyond general tech support and invest specifically in policies designed to foster local AI native startups and entrepreneurs.

• Focus on Activation and Community: Most ecosystems are in the early "activation phase" for AI; prioritizing the creation of more startups and building a strong, connected community of founders, investors, and experts is essential.

• Adapt Programs and Funding: AI native startups have unique needs; standard programs and investment approaches from the SAS era are insufficient. Specialized programs, access to talent, and de-risking/training investors in AI are needed.

• Look for Niche Opportunities and Inspire: Success can be found by focusing on specific application areas or "unglamorous" industries where local advantages exist, and influential individuals can play a significant role in inspiring startup creation.

Resources Mentioned

• A survey of government officials involved in venture promotion was mentioned, with a QR code provided for participation.

• The book Boulevard a Broken Dream by Josh Learner was referenced.

• Startup Genome's Scaleup report was mentioned as a resource for understanding the impact of community connections.

Action Items

• Attendees involved in venture promotion were encouraged to participate in the government officials survey.