The IT department decides whether the spin-off pays off
Bernhard Liebl
7 min read Continental and ThyssenKrupp floated core business units within five weeks of each other in ...
Technology ranks as the fastest-rising priority among the twelve categories in the Gartner CEO Survey 2026, a jump of ten percentage points from 2025. CEOs in every industry want more technology budgets, yet Gartner’s separate study of Tech CEOs shows that simply raising the budget does not buy a competitive edge.
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The annual Gartner CEO Survey asks business leaders across industries about their top priorities for the coming year. Growth remains number one in 2026 with 52 percent mention, followed closely by Finance at 42 percent. But the real outlier sits in third place: Technology rises ten percentage points, and no other area moves nearly as much, up or down.
Gartner CEO Survey 2026
What CEOs Cite to Justify Their 2026 Budgets
Source: Gartner, CEO Survey 2026. Change from the 2025 Survey in percentage points (pp).
Ten percentage points in a single year is unusual for a category that has hovered in the middle for years. The obvious conclusion would be to release more technology budgets, launch more AI projects, and let the market do the rest. Gartner’s separate study on Tech CEOs refutes exactly this shortcut with four pivotal decisions that determine success or displacement, not the size of the budget line.
Anyone investing in technology today is buying into a market that has already sorted itself according to capital logic. AI-native companies grow roughly 40 percent faster than traditional SaaS providers, according to Gartner, because they embed artificial intelligence not only into their products but also into their own operations.
The Capital Market Reality
40x valuation. That’s how much investors pay for the 30 fastest-growing AI-native companies relative to annual revenue; traditional software companies receive only 6x to 8x. The new benchmark is around 900,000 euros in annual revenue per employee, while the market average sits at roughly 100,000 euros. Source: Bessemer Venture Partners, Crunchbase, 2025.
The second lever concerns the customer itself. Gartner expects software providers to increasingly sell to artificial intelligence agents rather than humans, systems that negotiate in milliseconds instead of weeks, operate around the clock, and pay for results instead of usage. The model is called Outcome as Agentic Solution at Gartner and is expected to reallocate around 640 billion euros in software and services spending by 2028. The third lever lies in sales: By 2027, 95 percent of sellers’ research workflows will start with artificial intelligence, currently under 20 percent. Companies that do not align their websites and sales processes with this zero-click logic will lose a demand channel without immediately noticing.
For German mid-market and corporate software providers, the fourth lever is the most relevant because the first three rest heavily on U.S. venture capital logic. A 40x valuation multiple assumes a capital market that does not exist in this form in Stuttgart or Munich. The real lever for DACH providers lies not in capitalization but in customer retention and industry depth, built over years of process integration into SAP landscapes, production lines or government procedures. This is precisely the dimension that decides the outcome in the next section.
Eighty-two percent of Tech CEOs fear that competitors will copy their artificial intelligence features, according to Gartner. The concern is justified. A feature that impresses today becomes a commodity within 18 to 24 months, according to Gartner. Nine out of ten vertical AI startups that rely solely on product differentiation disappear from the market in that timeframe.
What Is the Gartner MoatMap? A framework with eight dimensions that together create a competitive advantage that cannot be copied within a few months: proprietary data and trade secrets, talent retention, financial leverage, operational excellence, rule-setting power, network density, market leadership and customer retention. For a U.S. startup with fresh Series A funding, most of these dimensions still need to be built. For an established German provider with ten years of customer relationships in an industry, two of them, customer retention and network density, are often already in place, yet rarely named and defended explicitly as strategic advantages.
That is exactly the difference: One provider hopes for a higher technology budget. Another knows which of its existing strengths the budget is actually meant to protect.
The numbers behind the 18-month expiration date come predominantly from the U.S. venture capital ecosystem, from analyses by Bessemer Venture Partners, Crunchbase and High Alpha. This is a market with high capital availability, short decision paths and customers who test new software without lengthy RFPs. A German industrial company, a bank or a government agency with a grown SAP landscape decides differently: procurement takes months, integration testing is mandatory and replacing a core system is a multi-year project. The 18-month expiration date applies to consumer-facing and self-serve software categories, not automatically to regulated or deeply integrated enterprise software.
There is also a structural point that Gartner itself does not resolve: The company sells exactly the advisory products, Agentic Compass and MoatMap-Advisory, that are recommended as the solution to the diagnosed problem. This does not make the underlying numbers wrong; the surveys of 351 and 2,501 Tech executives respectively provide a solid data basis. It simply means the urgency of the recommendation should be read with caution, not as a neutral law of nature.
Anyone who wants to give substance to the technology priority from the CEO Survey should start not with a new RFP but with an inventory. Three steps can be completed in one quarter: First, determine annual revenue per full-time equivalent for the company’s own software organization and compare it against the market benchmark of around 900,000 euros, not to reach the number but to understand the gap. Second, name the two strongest MoatMap dimensions the company already has, usually customer retention through process integration and network density through industry anchoring. These dimensions belong on the table in the next budget round as explicit investment justification instead of being silently assumed. Third, launch a pilot project with an existing major customer using outcome-based rather than usage-based billing to prepare the organization for agent-to-agent logic before competitors force it. Anyone who can answer these three questions has achieved more than any increase in the budget line.
It shows that technology is becoming a central investment question across industries. Yet it says nothing about whether the additional budget flows into defensible advantages or quickly copyable features. Every company makes that decision for itself.
Because AI features become a commodity within 18 to 24 months, according to Gartner. A budget buys features, but not customer retention, proprietary data or network density. These three dimensions develop over years, not over a quarterly budget.
Customer retention and network density, because both rest on established process integration in existing industries, an advantage that U.S. AI-native startups with fresh funding still have to build. Capital-driven dimensions such as financial leverage are harder for most German providers to achieve.
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