AI is unique because it can automate white-collar tasks that were previously untouched by technology, such as administrative and cognitive work. This allows software to perform tasks that were historically done by humans, fundamentally shifting the relationship between software and labor.
The U.S. nurse labor market is over $600 billion annually, while the worldwide software market is under $600 billion. This highlights the potential for software to disrupt labor markets, especially in high-paying professions like nursing.
AI allows software companies to charge based on the output of work rather than per seat, which was the traditional model. This shift could lead to significant revenue increases for companies like Zendesk, as they can now replace or augment human labor, potentially charging 10x more than before.
Autopilot tools directly replace human tasks, such as answering customer queries, while copilot tools enhance human productivity by assisting with tasks. Copilot tools make workers more efficient, but autopilot tools can eliminate the need for human workers entirely.
The 'messy inbox problem' refers to the challenge of processing unstructured information, such as emails or faxes, and turning it into actionable data for systems of record. AI can solve this by automating the extraction and processing of information, creating a wedge into industries that previously relied on human judgment.
Defensibility comes from becoming a system of record, having a network effect, or deeply integrating into existing workflows. AI can differentiate a product, but long-term defensibility requires owning the end-to-end workflow and making it hard for competitors to replicate.
Jobs that require human connection, such as relationship-building over golf or other in-person interactions, may become more valuable. Additionally, roles that involve directing AI or focusing on creative tasks could see growth as AI handles routine work.
AI allows software to tap into labor budgets, which are often much larger than software budgets. This expands the potential market size for software companies, especially in industries with high labor costs but little existing software adoption.
If AI solutions become too similar, prices could drop significantly, leading to deflationary pressures. Companies that can't differentiate themselves may struggle to maintain profitability as competition increases.
Industries like compliance officers in financial services, where labor is expensive and software solutions are minimal, are prime targets for AI disruption. These areas have large labor budgets but no incumbent software solutions to address their needs.
Did you know the U.S. nurse labor market is over $600 billion annually, but the dedicated software market for nurses is almost zero?
In this episode General Partners Alex Rampell, David Haber, and Angela Strange discuss how AI is revolutionizing labor by automating tasks traditionally done by humans.
They’ll trace the evolution of cloud eras — from the original to financial services-enabled to the current AI-enabled outcomes era — showcasing how AI is creating unprecedented opportunities, allowing startups to outpace incumbents. They also explore how this shift will reshape industries, where we are in the adoption curve and what companies need to succeed, and the gaps where the a16z Enterprise team would love to see more innovation.
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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.a