AI-native service companies are expected to reshape the software industry over the next ten years, moving away from traditional internal tools toward a sharper focus on customer outcomes. This shift, described through what some call the 'Sam Altman test,' offers a new way to evaluate business models in the artificial intelligence era. Meanwhile, regulation is emerging as an unexpected force that could raise founder expectations and, in turn, improve startup quality.
The 'Sam Altman test' as a business lens
The framework, named after the OpenAI CEO, is being used to assess whether a company is built for the AI age. It centers on whether the business is structured to deliver results directly to users rather than selling software for others to manage. Companies that pass this test, according to the prediction, are those that treat their product as a service outcome — think of an AI that manages a customer's accounts rather than an accounting software package.
Traditional software firms, with their long cycles of feature releases and license fees, are seen as vulnerable. The next decade, the thinking goes, belongs to firms that can continuously adapt their algorithms to solve specific problems. The 'Sam Altman test' is not a formal rating but a mental shortcut for investors and founders trying to separate winners from laggards.
Customer outcomes over internal tools
The central claim is that AI-native service companies will dominate because they are built around what the customer actually needs to achieve, not what the software can do. Instead of selling a tool that requires training and configuration, these companies offer a service that does the work. An example might be an AI-powered logistics firm that guarantees delivery times rather than selling route-planning software.
This outcome-based model aligns with the capabilities of large language models and other AI systems that improve with use. The more data they process, the better the service. Traditional software, by contrast, often improves only with scheduled upgrades. The prediction suggests that the latter model will struggle to keep up.
Regulation's surprising upside
Regulation is often seen as a burden for startups, but the facts suggest it could play a different role. Stringent rules can force founders to think harder about their business from the start. The argument is that when a regulatory environment demands more rigorous compliance, the founders who survive are those with higher expectations for their own operations.
That could lead to a higher overall quality of startups entering the market. While regulation might slow down some early-stage companies, it could also filter out weaker ideas early. The effect, if this prediction holds, is a startup ecosystem that is smaller but more resilient.
The combination of a rigorous business model framework like the 'Sam Altman test' and a regulatory environment that raises the bar may accelerate the shift toward AI-native service companies.
What remains unclear is how quickly traditional software firms will adapt. Some may try to pivot their products into services, but the structural differences run deep. The next few years will show whether the predicted dominance materializes — and whether the 'Sam Altman test' becomes a standard benchmark for the industry.
