The Impact of AI on Business Valuations

Every acquisition conversation I've been part of in the past eighteen months has included some version of the same question: "What's your AI strategy?" It's become as routine as asking about customer concentration or owner dependence. And unlike many technology trends that wash through M&A discussions and recede (blockchain, anyone?), this one is actually changing how buyers underwrite businesses.

AI is creating a new axis of valuation differentiation. Companies that are leveraging AI to improve margins, reduce labor dependency, or enhance their competitive position are seeing valuation premiums. Companies whose core business model is at risk of AI displacement are seeing discounts. And companies that are building AI products or capabilities are commanding the highest multiples of all. Let me walk through what I'm seeing across sectors.

The Three Categories: Enhanced, Threatened, and Building

I find it useful to sort businesses into three buckets based on their relationship to AI. Every company falls somewhere on this spectrum, and where you fall has a direct, measurable impact on your M&A valuation.

Enhanced by AI:These businesses are using AI to do what they already do, but better, faster, or cheaper. Their core value proposition doesn't change — AI just improves the economics. A marketing agency using AI to produce content faster. A manufacturer using predictive maintenance to reduce downtime. An accounting firm using AI to automate data entry and reconciliation. The business model is intact; AI is a margin enhancer.

Threatened by AI: These businesses provide services that AI can increasingly perform directly, bypassing the need for a human intermediary. Basic bookkeeping. Routine legal document preparation. Simple graphic design. Data entry. Translation services. Tier-1 customer support. The value these businesses provide is being commoditized by AI, and buyers are pricing in the erosion.

Building AI:These businesses are creating AI products, tools, or platforms. They're selling AI capability rather than just using it. This category commands the highest valuations but is also the smallest — most SMBs are in the first two categories.

AI-Enhanced Businesses: The Margin Story

The most common AI impact I see in M&A is businesses using AI to improve operational efficiency. And when it's genuine — not just a talking point in the CIM — buyers respond with higher multiples.

Marketing and creative agenciesare the clearest example. Agencies that have genuinely integrated AI into their production workflow — using it for first-draft content creation, image generation, data analysis, campaign optimization — are operating at meaningfully higher margins than those that haven't. An agency that previously needed six content writers to produce a certain volume might now need three, with AI handling first drafts and humans doing strategy, editing, and client management. The margin improvement flows directly to EBITDA, which flows directly to valuation.

I've seen agencies with demonstrated AI integration sell at 15-25% premiums to comparable agencies without it. Buyers see the margin improvement as durable and scalable — once you've built the AI-augmented workflow, it applies to every new client.

Manufacturing and industrial servicescompanies using AI for predictive maintenance, quality control, and supply chain optimization are telling a similar story. A machine shop using AI-powered vision systems for quality inspection reduces reject rates and labor costs simultaneously. A logistics company using AI for route optimization reduces fuel costs and improves delivery times. These aren't theoretical benefits — they show up in the financials, and buyers value them.

Professional services firms — consulting, accounting, legal — that have adopted AI for research, analysis, and document preparation are improving realization rates and reducing the ratio of junior staff needed per engagement. A consulting firm that can deliver the same quality analysis with fewer analyst hours is structurally more profitable, and that profitability commands a premium.

AI-Threatened Businesses: The Discount Is Real

This is the harder conversation. Some businesses are seeing buyers apply explicit discounts — I call them "AI disruption haircuts" — to their valuations. These discounts range from 10-30% depending on how directly the business's core service competes with AI capabilities.

Basic bookkeeping and tax preparation at the lower end of complexity are most exposed. AI-powered tools can now handle routine categorization, reconciliation, and basic tax returns with high accuracy. Firms whose revenue is concentrated in these routine services face real displacement risk. The premium accounting firms — those focused on advisory, complex tax strategy, and CFO services — are actually enhanced by AI, not threatened by it. The bifurcation within accounting is dramatic.

Commoditized content services — content mills, basic SEO article farms, simple social media management — are among the most directly impacted. AI can now produce acceptable quality for many of these use cases at near-zero marginal cost. Buyers are deeply skeptical of the durability of revenue streams built on services that AI can approximate.

Basic customer support and call center operationsare seeing pricing pressure as AI chatbots and voice agents improve. Companies providing tier-1 support for straightforward inquiries (order status, password resets, basic troubleshooting) are watching their value proposition erode. The companies that will survive are those handling complex, emotionally sensitive, or highly technical support that AI can't yet manage well.

Simple web development and template-based design face increasing competition from AI-powered tools. When a business owner can generate a reasonable website using AI for a fraction of the cost of a traditional agency, the agencies that survive will be those providing complex, custom development work. The WordPress-site-for-$5K shop is in trouble.

The common thread in all these cases is that AI is disrupting the low end of the value chain. If your business is built on tasks that require limited judgment, follow repetitive patterns, and can be specified in clear rules, AI is coming for your revenue. If your business is built on relationships, complex judgment, creative strategy, or physical execution, AI is more likely to enhance than displace you.

How Buyers Are Evaluating the AI Factor

Sophisticated buyers — PE firms with dedicated technology operating partners, strategics with AI capabilities — are evaluating the AI dimension of every acquisition systematically. Here's what they're looking at:

AI adoption maturity.They want to see that the company has moved beyond experimentation into genuine operational integration. Using ChatGPT for occasional tasks doesn't count. Having AI systematically embedded into workflows with measurable productivity gains does.

Proprietary data advantage.Companies that have accumulated unique, domain-specific data that can be used to train or fine-tune AI models are more valuable. A specialty recruiting firm with 15 years of placement data can build AI-powered matching tools that a startup can't easily replicate. This data moat is increasingly recognized as a strategic asset in M&A.

Displacement risk assessment.Buyers are asking: "What percentage of this company's revenue comes from services that AI could perform within 3-5 years?" A high percentage means a discount. A low percentage means the business is defensible.

AI talent and culture. Companies with employees who are comfortable with AI tools and a culture of continuous technology adoption are more attractive. A buyer acquiring a company where employees resist new technology will face integration challenges and slower realization of AI-driven efficiency gains.

The Industries Where AI Impact Is Largest

Based on what I'm seeing in deal processes, here's how the AI impact is playing out across key sectors:

Technology and SaaS: Biggest impact. AI-native SaaS products commanding premium multiples. Companies at risk of AI disruption seeing significant discounts. The bifurcation is extreme.

Professional services: Moderate to large impact. Advisory and strategic services enhanced. Routine and commoditized services threatened. The winners are moving upmarket; the losers are losing pricing power.

Healthcare: Modest impact on practice valuations today, but growing. AI-powered diagnostics, clinical decision support, and administrative automation are beginning to influence how practices are evaluated. Healthcare IT companies with AI capabilities command significant premiums.

Home services and trades:Minimal direct impact. You still need a plumber to fix the pipe. AI helps with scheduling, dispatch, and customer management but doesn't replace the core service. This durability is part of why PE loves these sectors.

Manufacturing: Growing impact through AI-powered quality control, predictive maintenance, and supply chain optimization. Companies that have adopted these technologies are seeing margin improvements that translate to higher valuations.

Positioning Your Business on the Right Side

If you're planning an exit in the next 2-5 years, the AI positioning of your business is something you should be actively managing. Here's my practical advice:

Move up the value chain.If your revenue is concentrated in routine, commoditizable services, start shifting toward advisory, strategic, and complex work that AI can't easily replicate. An accounting firm should push into advisory and CFO services. A marketing agency should emphasize strategy and brand work over content production.

Integrate AI genuinely.Don't just add "AI-powered" to your marketing materials. Actually implement AI tools that improve your operational efficiency and demonstrate the impact in your financials. Buyers will see through cosmetic AI adoption during due diligence.

Build your data asset. Start thinking about your proprietary data as a strategic asset. Clean it, organize it, and consider how it could be used to create AI-powered capabilities that differentiate you from competitors.

Document the impact.If AI has improved your margins, productivity, or competitive position, quantify it. Buyers respond to numbers, not narratives. "We reduced content production costs by 35% through AI integration" is vastly more compelling than "We use AI across our business."

The AI transformation is still early enough that many business owners have time to position themselves advantageously. But the window is closing. In another two years, AI adoption will be table stakes rather than a differentiator, and companies that haven't adapted will face steeper discounts. The time to act is now.