# Google Maps - Maximising network effects with generative AI

> How Google Maps maximises network effects as a platform ecosystem, and how generative AI will amplify them. A product strategy analysis with 1B+ monthly users.

- Canonical: https://hcd.ai/product-strategy/google-maps-network-effects-generative-ai/
- Published: 2023-10-14
- Author: Sasha Merzliakov (https://hcd.ai/about/)
- Pillar: Product Strategy

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<p>Google Maps is the most popular navigation app in the world with over 1 billion monthly users (Pawar, 2023). As a <strong>digital platform ecosystem</strong> it includes features beyond its core mapping capability to maximise network effects and with the advent of generative AI is expected to maximise network effects further. For a broader look at how GenAI transforms the <a href="/product-strategy/generative-ai-digital-business-innovation/">digital business innovation process</a>, see the companion analysis.</p>



<p>The players in a digital platform ecosystem include producers and consumers as visualised in Figure 1 (Alstyne, Parker &amp; Choudary, 2016). With its core mapping capability, platform users are <strong>concurrently producers <em>and</em> consumers</strong>—AI uses the collective location data shared whilst at the same time predicting travel times and mapping the best route (Lau, 2020; Levine &amp; Jain, 2023). Google Maps also<strong> brings together producers and consumers</strong> through retail features such as its store and product locator, and individual features such as local information (Google, n.d.).</p>



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<figure class="wp-block-image size-large"><img src="/assets/images/posts/Platform-Ecosystem-1024x650.png" alt="The Players in a Platform Ecosystem" class="wp-image-4390"/></figure>



<p>Figure 1: The Players In A Platform Ecosystem (Alstyne, Parker &amp; Choudary, 2016)</p>



<p>Google Maps is defined as "Tech Performance Network Effects" according to NFX (2021), that is "its performance directly improves with increased numbers of users". In addition to understanding this <strong>"Digital Competitive Advantage"</strong>, it is assumed by its ongoing innovation in the space of generative AI (Liu, 2023) that Google has also asked <strong>"What is the Digital Threat and Opportunity?"</strong> (Weill &amp; Woerner, 2018).</p>



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<figure class="wp-block-image size-large"><img src="/assets/images/posts/Next-Generation-Enterprise-1024x640.png" alt="Six Questions to help you build the Next-Generation Enterprise" class="wp-image-4391"/></figure>



<p>Figure 2: Six Questions to help you build the Next-Generation Enterprise (Weill &amp; Woerner, 2018)</p>



<p>Google's Partner Innovation is "developing a series of Generative AI templates" to showcase possibilities of using Generative AI with their APIs, in particular for travel (Liu, 2023), providing ecosystem producers inspiration and know-how to quickly innovate. Wang (2023) from the Lufthansa Innovation Hub sees Google Maps "as the foundation of a transformative AI-powered travel experience", leveraging generative AI to "create a more efficient, personalised, and engaging travel booking experience".</p>



<p>Given the transformative impact of generative AI it is both a digital threat and opportunity. Ecosystem players and platforms such as Google Maps are exploring strategies to maximise their network effects, but undoubtedly aware of the threat it also presents.</p>



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<hr class="wp-block-separator has-alpha-channel-opacity"/>



<p>This post is a part of a series from my MBA (Technology) studies through the <a href="https://www.unsw.edu.au/business/our-schools/agsm" target="_blank" rel="noreferrer noopener">Australian Graduate School of Management @ UNSW Business School</a></p>

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<p class="section-label mb-4">References</p>
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