AI enables "software does labor" business models in industries previously deemed too small for specialized software, like dental offices or trial law. By replacing or augmenting specific labor tasks, startups can justify high-value contracts in markets that historically wouldn't pay for traditional SaaS tools.

Low-cost AI tools create a new paradigm for entrepreneurship. Instead of the traditional "supervised learning" model where VCs provide a playbook, we see a "reinforcement learning" approach. Countless solo founders act as "agents," rapidly testing ideas without capital, allowing the market to reward what works and disrupting the VC value proposition.

The democratization of technology via AI shifts the entrepreneurial goalpost. Instead of focusing on creating a handful of billion-dollar "unicorns," the more impactful ambition is to empower millions of people to each build a million-dollar "donkey corn" business, truly broadening economic opportunity.

The new wave of entrepreneurship isn't about scaling large companies. It's about solopreneurs acting as "gig entrepreneurs" who master and customize a suite of AI tools to deliver bespoke, high-value outcomes for clients, effectively replacing the work of entire small agencies.

Individuals will use AI to build bespoke software for personal use. A subset of these tools will find a niche market, creating entrepreneurs who operate outside the VC-funded, subscription-SaaS model, potentially favoring one-time purchase models due to low development costs.

AI is dramatically increasing the capabilities of a single individual, lowering the barrier to entrepreneurship. This technological leverage will enable a massive new wave of solo founders who can build and scale businesses without the need for large teams or significant venture funding.

A new model for entrepreneurship is emerging where solo founders use a suite of AI agents to fulfill roles traditionally held by human co-founders. This 'digital co-founder' approach can handle diverse business functions, enabling rapid and lean startup creation by a single person.

AI is predicted to reduce engineering costs to near-zero, enabling individuals with strong product taste to build, launch, and market SaaS companies alone. The critical skill will shift from coding to user testing and product insight, functions that AI cannot yet fully replace.

AI coding tools dramatically lower the barrier to software creation, enabling a new wave of 'indie' developers. This will lead to an explosion of hyper-personal, niche apps designed to solve specific problems for small user groups, shifting the focus away from universal, VC-scale software.