IONOS funds AI expansion through workforce reduction
Bernhard Liebl
This article is an AI-generated translation of the German original. The German version is authoritative. 4 ...
This article is an AI-generated translation of the German original. The German version is authoritative.
Three out of four executives surveyed have publicly announced their cost-cutting programs or plan to. Only 14 percent achieved their full savings target for their primary lever last year. Deloitte calls this gap the “trust illusion.”
Key Takeaways
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Companies that justify cost-cutting programs with growth or efficiency gains see stock market rewards. Among 21 announcements from Fortune 100 firms between 2023 and 2025, shares rose 5 to 20 percent within three trading days. Programs introduced in response to missed results, however, saw declines of 3 to 26 percent in the same period.
The market reacts on announcement day. The real test comes a year later, if at all. That’s the gap Deloitte measures.
Three out of four executives surveyed by Deloitte have made their cost-saving pledges public or plan to do so. Only 14% achieved their primary cost-saving target in full last year.
Yet, 67% still expect to meet or exceed their overall goals this year.
96% of respondents are pursuing, have completed, or are planning a cost transformation. Deloitte calls the gap between public commitments and delivered value the “trust illusion.”
| Scope | Expectation or Intent | Delivery |
|---|---|---|
| Public Commitment | 76% made or plan to make | Earnings call and investor materials |
| Key Program Last Year | Full value achieved | 14% achieved |
| Overall Goals This Year | 67% expect to hit or exceed | Still pending |
| Effort per Euro Saved | 77% budget 20 to 90 cents | 24% anticipate value loss |
| AI as a Cost Lever | 66% prioritize | 55% of AI initiatives: Systems don’t fully deliver |
Source: Deloitte, 2026 Enterprise Cost Transformation Survey, published 14 September 2026. Survey conducted in April 2026 with 500 executives.
55% of organizations pursuing AI-driven cost transformation say their current technology infrastructure can’t fully support these initiatives. Deloitte cites skills gaps and weak adoption as the biggest hurdles. Companies touting AI savings in earnings calls are essentially betting on the state of their platforms and workforce.
Karthik Krishnamoorthy, Deloitte’s Health Care Restructuring Leader, notes: Organizations that deliver don’t necessarily follow the boldest agendas. They make the toughest decisions early. The hard call comes before the earnings report.
What Is Cost Transformation? For Deloitte, cost transformation is a program designed to permanently reduce the cost base while simultaneously funding growth. It spans technology, workforce, and operational models.
In April 2026, Deloitte surveyed 500 executives. 96 percent are pursuing, have completed, or are planning cost transformation. 76 percent publicly commit to these programs or intend to. Only 14 percent met their full savings target for their primary lever in the prior year.
Financing revenue growth was the most common trigger in the survey, ahead of cost reduction and margin improvement. These programs aim to fund technology, talent, and market expansion. Public commitments create pressure to deliver on that contribution.
Leakage refers to the value lost between the targeted savings goal and the actual amount retained. 77 percent expect 20 to 90 cents of spending per euro of savings target. Only 24 percent factor this loss into their goal-setting. Deloitte recommends planning 20 to 25 percent of the target value upfront as friction.
55 percent of organizations using AI for cost transformation describe their technical environment as not fully robust. Skills gaps and weak adoption rank among the top barriers. Deloitte frames the effort as a workforce overhaul that requires a technological foundation.
The survey is global, with 16 percent of respondents from Europe and 71 percent from North America. The decision before public commitment remains the same: account for leakage, set aside a reserve and assign responsibility.
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Translated from the German original with AI support. The German version is authoritative.