Research Context Executives Should Read First
The Mercury research primarily represents early-stage and startup companies. It should not be interpreted as a statistical representation of every U.S. small business. The value for established operators is directional: it shows where cost pressure, AI adoption, and hiring design are moving.
Every figure below is a reported survey finding. Where the data shows a relationship between AI adoption and business outcomes, it is correlation — not proof that AI produced the outcome.
The Numbers Executives Should Know
- 95% — early-stage companies surveyed that have deployed AI agents.
- 77% — respondents who increased AI spending year over year.
- 91% vs. 60% — business-confidence difference reported between significant AI adopters and non-adopters.
- 75% — respondents who said running their business cost more than expected.
95% Have Deployed AI Agents
AI is quickly moving beyond basic chatbots and content generation. Mercury found that 95% of early-stage companies surveyed have deployed AI agents, with common applications including data analysis and reporting, marketing, and customer support.
The implication is significant: AI is increasingly becoming part of the operational infrastructure of a company rather than simply another software tool.
AI Spending Is Accelerating
77% of respondents increased AI spending year over year. Mercury's own data also showed average monthly AI spending among smaller companies increased more than 50% between April 2025 and April 2026.
But spending more on AI isn't automatically a competitive advantage. The executive question is simple: what measurable business constraint is the technology solving?
AI investments should ultimately improve revenue, reduce costs, accelerate execution, increase capacity, or strengthen decision-making.
AI Adopters Report Greater Business Confidence
One of the report's most striking findings: 91% of significant AI adopters reported increased confidence in their businesses, compared with 60% of non-AI adopters.
This is a correlation. It does not establish that AI caused the difference. However, the finding reinforces an emerging pattern: businesses integrating AI deeply into workflows appear to be operating differently from those treating AI as an occasional productivity tool.
Operating Costs Continue to Rise
Technology isn't eliminating economic pressure. 75% of respondents said running their business cost more than expected, compared with 66% the previous year.
Mercury found companies in its own dataset were holding approximately 27% more cash than two years earlier. The conclusion for operators: growth without financial discipline is becoming increasingly dangerous.
- Holding additional cash reserves
- Switching or evaluating suppliers
- Delaying investments
- Adjusting prices
- Reconsidering hiring
Customers Are Becoming More Price Sensitive
Businesses passing along higher costs are seeing behavioral changes. Respondents reported increased customer resistance to pricing, smaller orders, customers moving to cheaper alternatives, and longer payment cycles.
This places additional pressure on companies to demonstrate measurable value rather than competing primarily on features or price.
AI Is Also Changing Hiring
AI adoption isn't simply translating into widespread job elimination. Instead, companies appear to be redesigning how work gets done.
- 34% of AI adopters introduced AI fluency as a job requirement.
- 28% shifted some positions toward contractor + AI combinations.
- 82% changed compensation or role structures because of AI.
- 82% of early-stage companies said they were hiring the same number or more junior employees than they would have without AI.
The Iron Eagle Executive Takeaway
The most important finding isn't that companies are buying more AI. It is that a new operating model is emerging: human expertise + AI + automation + disciplined capital allocation. That creates leverage.
A company that previously needed additional employees, outside agencies, multiple software platforms, or extensive manual processes may increasingly be able to accomplish the same objective through better-designed systems.
But there is an important warning. Technology without strategy simply creates more expensive complexity. Before adopting another AI platform, automation, agent, or software system, executives should ask four questions.
- What business constraint are we solving?
- What measurable financial or operational outcome should improve?
- Can technology eliminate or simplify an existing process rather than merely add another tool?
- How will we measure ROI after implementation?
One More Risk Executives Should Watch
As companies become increasingly dependent on AI, vendor concentration becomes a strategic risk. Mercury found that 29% of respondents rely on a single AI provider for more than half of their AI usage, and another 37% place 25–50% of their reliance on one provider.
A durable AI strategy must eventually include vendor diversification, data portability, workflow resilience, cost monitoring, and contingency planning. AI infrastructure should strengthen a company — not create a new single point of failure.
Executive Bottom Line
The competitive advantage of AI isn't simply automation. It's leverage.
Businesses capable of combining technology with disciplined strategy can potentially operate faster, make better decisions, expand capacity, and respond more quickly to economic pressure.
The winners won't necessarily be the businesses using the most AI. They'll be the businesses that know where AI creates measurable economic value — and where it doesn't.
Technology Follows Strategy.™
Source & Research
This Executive Intelligence Brief is based in part on research published by Mercury in The New Economics of Starting Up in 2026: Trends in Spend, Hiring, and AI-Powered Scale, published August 19, 2026.
The underlying research included a May 2026 survey of 1,500 U.S. adults involved in starting companies within the previous six years. It primarily represents early-stage companies and is not a statistical representation of every U.S. small business.