When Dario Amodei, CEO of Anthropic, took the microphone during the Code with Claude conference in San Francisco in recent weeks, he probably did not imagine that his words would spark such a heated debate in the tech world.

Mike Krieger's question (Instagram co-founder and current Chief Product Officer at Anthropic) was direct: how realistic is it that a single individual, leveraging AI, could create a billion-dollar company? The CEO of Anthropic's answer was just as clear: "There is a 70% to 80% chance this will already happen by 2026."

This is not stage optimism or visionary marketing. Amodei is describing a structural transformation already underway, where artificial intelligence is no longer just a support tool but becomes the true engine of value creation. As he explained during the conference: "I think it will happen in a sector where you don't need much human infrastructure to generate value."

Amodei's precision in identifying the sectors of transformation reveals the depth of his analysis. Proprietary trading represents the first natural candidate: an environment where speed, automation, and data analysis capabilities translate directly into scalable profits. What once required teams of quantitative analysts, financial mathematicians, and experienced traders can today be managed by sophisticated algorithms orchestrated by a single strategic mind. Access to this world, once the exclusive domain of billionaire hedge funds, is now democratized through APIs available at monthly costs below $1,000.

Developer tools constitute the second pillar identified by Amodei and represent the perfect meta-business: creating tools that help others build, where AI can simultaneously manage development, customer support, marketing, and even the feedback loop with users. A startup creating intelligent IDEs (integrated development environments), automation frameworks, or deployment platforms can serve thousands of developers with a fully automated infrastructure.

The technological base on which Amodei's vision rests is already tangible and operational. New AI models such as Claude Opus are dismantling the traditional barriers to business scalability in ways that were unthinkable even just two years ago. A single entrepreneur today can delegate to artificial intelligence activities that until yesterday required entire departments: writing and debugging code through tools such as GitHub Copilot that reduce development time by 60%, managing customer support through advanced chatbots that handle 90% of requests with satisfaction equal to 85% of human operators, analyzing complex metrics, and even making high-level strategic decisions.

This is not traditional automation in the classic sense of the term, it is intelligent orchestration on an industrial scale. Where once specialists were needed for every business function — developers, analysts, marketers, customer service, operations managers — now one person is enough to coordinate interconnected AI systems. It is like conducting a virtual orchestra where each instrument is an algorithm playing its part in the symphony of business.

But let us now also look at the obstacles that future billion-dollar solopreneurs will have to face. The main problem is not technical but psychological and social: investors and customers may be reluctant to trust a company run by a single person, even if "augmented" by AI. Credibility remains a human asset that is difficult to automate. The data confirms this resistance: 67% of investors are reluctant to finance companies without human teams dedicated to compliance and governance.

There is also the issue of operational complexity hidden behind the apparent simplicity of automation. Managing advanced AI systems requires specialized skills that not everyone possesses: 54% of companies report difficulties in integrating automation tools, with efficiency losses of 30%. The intensive use of GPUs for training customized models can push operating costs above $50,000 per month, figures that may be unsustainable for bootstrapped businesses.

Then emerges a systemic paradox that Amodei implicitly acknowledges: while we celebrate the empowerment of the individual entrepreneur, we are building total dependence on the tech giants that control access to artificial intelligence. 78% of AI startups depend on cloud infrastructures from AWS, Google, or Azure, exposing them to lock-in risks that could economically strangle precisely those solopreneurs that technology is supposed to free.

The social implications of Amodei's prediction are perhaps even more significant than the technical considerations. If AI can truly allow one person to run a billion-dollar company, what happens to the employees who would traditionally be necessary? The World Economic Forum predicts that AI could eliminate 85 million jobs by 2027. If a billion-dollar company can be run by one person, we are talking about the potential disappearance of 999 jobs that would normally be needed to generate the same economic value.

This vision is not isolated but fits into a chorus of converging forecasts. Sam Altman of OpenAI shares this perspective with a slightly longer timeline, outlining how AI will reach capacities comparable to human intelligence by 2035. Elon Musk pushes the timeline further forward, anticipating the advent of a "superintelligent" AI capable of surpassing human cognitive abilities in all domains in that same year. Jensen Huang of Nvidia has provided the infrastructural framework for this revolution, speaking of "intelligence factories" where data centers will evolve into infrastructures for generating cognitive capacity.

What emerges from this convergence of visions is (at least from my point of view) that Amodei's prediction is not only correct but is probably also conservative. The revolution has already begun, and the question is no longer whether it will happen, but whether we will be able to guide it toward a future that does not leave humanity behind in the name of algorithmic efficiency. As Satya Nadella recently observed during his visit to Microsoft Italy: "AI must be a multiplier of human potential, not a replacement for it."

The path toward this balance will define whether the promise of billion-dollar solopreneurs will translate into collective progress or into a new social stratification even more pronounced than today's.

Originally published in Italian in the 06/2025 issue of TouchpointNews Magazine by Oltre La Media Group srl .