When dealing with tech giants like Google or OpenAI, publishers should not rely on goodwill. They are self-interested capitalists who prioritize their own profits. The only reliable strategy is to build mutually beneficial economic ecosystems or create direct relationships with your audience.
While tech giants could technically replicate Perplexity, their core business models—advertising for Google, e-commerce for Amazon—create a fundamental conflict of interest. An independent player can align purely with the user's best interests, creating a strategic opening that incumbents are structurally unable to fill without cannibalizing their primary revenue streams.
Tech giants like Google and Meta are positioned to offer their premium AI models for free, leveraging their massive ad-based business models. This strategy aims to cut off OpenAI's primary revenue stream from $20/month subscriptions. For incumbents, subsidizing AI is a strategic play to acquire users and boost market capitalization.
Investments in OpenAI from giants like Amazon and Microsoft are strategic moves to embed the AI leader within their ecosystems. This is evidenced by deals requiring OpenAI to use the investors' proprietary processors and cloud infrastructure, securing technological dependency.
Content creators are in an impossible position. They can block Google's crawlers and lose their primary traffic source, effectively committing "business suicide." Alternatively, they can allow access, thereby providing the content that fuels the very AI systems undermining their business model.
Despite theories that Google will offer its AI for free to bankrupt competitors, its deep-seated corporate culture of high margins (historically 80%+) makes a prolonged, zero-profit strategy difficult. As a public company, Google faces immense investor pressure to monetize new technologies quickly, unlike a startup.
As platforms like Google consume media traffic, brands can no longer rely on placing ads next to content. They must become the content destination themselves. The strategy is to build a direct relationship, often via an app, winning "the battle of the storefront on your phone" and reducing dependency on paid channels.
Medium's CEO frames the AI training data issue as a classic prisoner's dilemma. Because AI companies chose an "antisocial" path of scraping without collaboration, platforms are now forced to defect as well—blocking crawlers and threatening data poisoning to create leverage and bring them to the negotiating table.
Avoid building your primary content presence on platforms like Medium or Quora. These platforms inevitably shift focus from serving users to serving advertisers and their own bottom line, ultimately degrading reach and control for creators. Use them as spokes, but always own your central content hub.
Beyond revenue loss, AI summaries threaten publishers by stripping context from their work and controlling the narrative. Over time, this trains users to see Google, not the original creators, as the primary source of authority, eroding hard-won brand trust.
Many digital media companies chased massive scale by leveraging Google and Facebook. However, these audiences were never truly theirs, leading to a lack of loyalty and a flawed business model when the platforms' priorities shifted, revealing the audiences were just 'rented'.