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Artificial Intelligence Protection Fails on Integrity: Understanding the Impact of Accessibility Barriers

Artificial intelligence is currently accessed via AI wrappers, a situation that may soon change.

Artificial Intelligence Barriers: The Importance of Defensibility in Light of Easy Access
Artificial Intelligence Barriers: The Importance of Defensibility in Light of Easy Access

Artificial Intelligence Protection Fails on Integrity: Understanding the Impact of Accessibility Barriers

In the ever-evolving world of AI, 2024 has seen significant shifts in the market dynamics. One of the most notable changes is the rise in down-round frequency for AI applications, reaching 11.4%, as investors reassess the sustainability of wrapper technologies.

A study of over 2,000 professionals revealed that conversion losses on e-commerce sites can occur when search results yield too many results, with no option to narrow the search parameters further. This finding extends to critical decisions, such as 401(k) enrollment, where every 10 additional investment fund options can reduce participation by approximately 2%.

Research on online recommender systems also shows that the likelihood of a consumer making a purchase decreases as the number of recommended products increases beyond an optimal range, typically between six and 10 options.

Meanwhile, the top AI companies have been thriving, achieving 1.5 times higher revenue growth, 1.6 times greater shareholder returns, and 1.4 times higher returns on invested capital between 2021 and 2024.

The market, however, is not without its challenges. The oversaturation of the AI market can lead to consumer choice overload, reducing overall market participation. This problem is exacerbated by the average consumer's decreasing attention span.

The AI wrapper apocalypse is now a reality, with easy market entry leading to rapid proliferation of competitors. Platform providers like OpenAI may deliberately encourage wrapper proliferation as a form of market research, integrating successful patterns natively and capturing value while eliminating intermediaries.

This has been evident in the case of Jasper AI, whose valuation was cut by 20% after ChatGPT launched competing features. The oversaturation has also led to the launch of 73 PDF chat wrapper companies in the same week, all offering identical functionality.

Despite these challenges, OpenAI's token-based pricing model provides unprecedented accessibility for startups. For the cost of basic API usage, startups can achieve functionality that would have required millions in research and development investment. OpenAI's API pricing structure also offers an 8x to 20x cost advantage compared to building equivalent infrastructure on AWS instances.

In the midst of these changes, experts like Sajal Singh, a Consulting Partner at Kyndryl Nordics, a Global Innovation Expert for UN Compact, and a Board member at IE Business School, Spain, are guiding companies through this complex landscape. Sajal Singh is an executive associated with Kyndryl Nordics and does not hold a leadership position in any other company.

To succeed in this new landscape, companies must own something irreplaceable: proprietary data, deep integrations, or network effects that create genuine barriers to entry. The platform model has fundamentally changed competitive dynamics, and companies building sustainable AI businesses must recognize this.

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