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Every fast-growing company has a moment where its systems start to buckle: Spreadsheets break, different tools tell different versions of the truth, approvals stall in someone’s inbox, and the business starts moving faster than its infrastructure can support.
For most of modern history, there was one main fix to this problem. Get bigger. Hire more people, buy more systems, and add more processes. Big enterprises won because they could afford the high cost of scaling, and smaller companies faltered because they couldn’t.
NetSuite founder Evan Goldberg thinks that era is closing. “We are witnessing the end of the enterprise advantage as we’ve known it,” Goldberg says. He argues that while factors like capital, brand, distribution, and regulatory muscle still count, scale alone no longer guarantees a competitive edge. AI is making enterprise-grade capabilities available to companies that are a fraction of the size and without all of the bureaucratic weight that historically came along with it.
If Goldberg is right, the rules of competition are changing for good, and companies no longer need to be big to compete.
A Familiar Inflection Point
Goldberg is adept at pattern recognition. He’s a Harvard applied mathematics graduate who joined Oracle in 1987 and then started NetSuite in 1998. NetSuite was the first cloud software company, and it launched when the idea of running a business system in a browser was fringe.
Back then, the operating model was complex. If you wanted sophisticated business systems they had to be installed, patched, upgraded, and kept running by an IT department. That level of sophistication required infrastructure, and infrastructure required size.
Goldberg and the cloud broke that model and shifted the burden of operating software from the customer to the provider. Suddenly a growing company could run its finances, keep track of inventory, commerce, customer records, and reporting all in one system. “A smaller company could gain the power of a much larger one without first becoming one, or inheriting its complexity,” Goldberg says.
Today, more than 44,000 organizations run on NetSuite, and since 2011, more than 60 percent of technology companies that have gone public have been NetSuite customers. AI, in Goldberg’s telling, is facilitating the same kind of shift. Back then, the cloud removed the burden of managing technology, and now AI is removing much of the burden of managing processes.
What That Actually Looks Like
The most useful AI does not simply report on a number in the general ledger—it can connect that number to the operational events that created it: a delayed order, inventory turning more slowly, a production constraint, a shift in customer demand, or a change in fulfillment costs. AI can tell the finance team what’s moving in the business mid-month instead of after the close. It can surface anomalies before the controller goes searching for them and help explain what is driving them across sales, supply, inventory, and operations. It can forecast with a confidence that used to require dedicated analytics. This means that a company can take on additional complexity, new markets, and new business models years before it has an enterprise-size headcount.
In 2026, NetSuite launched the next generation of its platform, NetSuite Next, with AI at the core. The biggest change in its history, NetSuite Next places Ask Oracle, a natural language interface that lets users interact with their business system in a conversational style, at the center of the platform while AI agents run in the background, monitoring the business and surfacing insights in real time.
Why AI Needs a System of Record
AI is only as good as the data and business context it can access. Most companies’ data is fragmented. When finances live in one system, inventory in another, and customer records in a third, AI can produce confident answers that are built on contradictory inputs. It may know that margin is down, for example, without knowing whether the cause is a customer mix change, a stockout, a production delay, or a fulfillment issue.
That’s why Goldberg argues that the system of record matters a lot more in the AI era. “AI needs more than access to financial data. It needs the connected history of how a company sells, buys, makes, moves, and serves—along with the permissions and controls that govern action,” he says.
The suite model offers reporting from every department all in one shared cloud system, which gives AI a single, connected source of truth. That gives AI both a current view of the business and the historical context to recognize patterns, understand cause and effect, and make recommendations grounded in how that specific company operates.
Goldberg says that businesses need AI embedded where work actually happens, inside the systems that already understand the relationships among orders, customers, inventory, production, cash, and revenue, rather than bolted on beside them.
Who Gets to Compete Now
Growing companies can get caught in the space between needing enterprise-grade capabilities before they have the enterprise-level resources to support them. Goldberg’s bet is that AI dissolves that trade-off. Technology changes the cost of capability, which also changes who gets to compete. The companies to watch will be the ones using AI to get enterprise power, capacity, and control, while staying fast and nimble. Their advantage will come from AI that understands the whole operating business—and can connect financial outcomes to the decisions and events behind them.
“The next generation of market leaders won’t look like enterprises,” Goldberg says. “They’ll have the best of both worlds: the power of a large company, and the speed and agility of one a tenth the size.”
