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Written by: Victor Gaxiola
What AI innovation means for business valuations, exit planning, and the portfolios of tech investors
The pace of what's happening in AI right now is faster than most people outside of Silicon Valley fully appreciate. Earlier this year I attended the NVDIA GTC Conference and came home thinking about two things. First: what this means for investors holding positions in the tech sector. Second — and more urgently — what this means for the business owners I work with who are thinking about their next chapter.
I covered both in an episode of the Resilient Investors Podcast (see below), and I want to expand on the business owner angle here because I don't think it gets enough attention in financial planning conversations.
AI Is Changing Business Valuations — Right Now
If you own a business, your exit or succession plan was probably built around a set of assumptions: industry multiples, revenue growth, operational efficiency, buyer market. AI is disrupting all of those assumptions simultaneously.
In some industries, AI tools are dramatically increasing productivity — which inflates the value of businesses that have adopted them and compresses the value of those that haven't. In others, AI is automating away functions that used to justify premium valuations: customer service, data analysis, content production, logistics.
The question isn't "will AI affect your business?" It already is. The question is whether your financial plan accounts for what that means in the next three to five years.
Succession and Exit in an AI-Accelerated World
Business owners who are planning to sell in the next decade need to be thinking about this now. Buyers — private equity, strategic acquirers, even family members — are increasingly evaluating businesses through an AI lens. Can this business be made more efficient with AI? Can it compete in a world where competitors have AI advantages?
If the answer to either question is "we haven't started," that affects your multiple. And if you're planning to pass the business to the next generation, you need a plan for how they'll navigate this transition — not just who gets what equity.
This is exactly why we integrate exit and succession planning as part of a broader financial plan, not as a separate event that happens "someday."
For Tech Investors: What the AI Buildout Signals
From a pure investment perspective, the evidence from conferences like NVIDIA GTC reinforces the thesis that AI infrastructure spending is not slowing down. The companies building the picks-and-shovels of AI — chips, data centers, software platforms — continue to see massive demand. That has implications for portfolio allocation, particularly for tech employees whose compensation is already tied heavily to this sector.
We're watching the MAG-7 and AI infrastructure names closely. We're also watching the smaller-cap tech companies that haven't yet found their footing in the AI transition — those are the names that carry the most risk for RSU holders who haven't diversified.
The Question Every Plan Should Answer
AI is not a future consideration. It's a present one. Whether you're a business owner thinking about your exit, a tech employee navigating concentrated equity, or an investor trying to position for the next decade — now is the time to ask: "Does my financial plan account for how fast things are changing?"
We're actively incorporating these conversations into our planning work with clients. The pace of change in AI is exactly the kind of macro shift that should prompt a portfolio review — not a reactive one, but a deliberate, plan-driven one.