Enterprises keep buying software upgrades that IT thinks will make things worse
Survey of 2,018 IT heads at big firms points to a lack of leverage.
- 1. Enterprise-sized businesses spend, on average, 28 percent of their software budgets on unwanted upgrades, migrations, and licensing changes.
- 2. Ninety-five percent of respondents said “their organization has paid for a vendor-driven upgrade, migration, or licensing change in the past three years that it believed at the time would reduce performance, reliability, or business value,” the report says.
- 3. The market has left some of the most experienced technology leaders in the world with little room to refuse, and that cost shows up in budgets, in engineering time, and in innovation that never gets funded.
Article analysis
Skim this article about "Enterprises keep buying software upgrades that IT thinks will make things worse": 3 key takeaways and more.
Enterprises keep buying software upgrades that IT thinks will make things worse
skim AI Analysis | Ars Technica
Ars Technica on Enterprises keep buying software upgrades that IT thinks will make things worse: skim's analysis surfaces 3 key takeaways. A survey of 2,018 IT leaders reveals that enterprises waste 28% of software budgets on unwanted upgrades. Read the takeaways in seconds, then decide whether the full article is worth your time.
Category: Business. News article analyzed by skim.
Summary
A survey of 2,018 IT leaders reveals that enterprises waste 28% of software budgets on unwanted upgrades. IT heads believe these changes often harm performance and value, with 95% reporting paying for vendor-driven changes they believed would reduce business value. This lack of leverage leads to reduced funding for innovation and other critical areas.
Key Takeaways
- Enterprise-sized businesses spend, on average, 28 percent of their software budgets on unwanted upgrades, migrations, and licensing changes.
- Ninety-five percent of respondents said “their organization has paid for a vendor-driven upgrade, migration, or licensing change in the past three years that it believed at the time would reduce performance, reliability, or business value,” the report says.
- The market has left some of the most experienced technology leaders in the world with little room to refuse, and that cost shows up in budgets, in engineering time, and in innovation that never gets funded.
Statement Breakdown
- Claimed Facts: 60% of statements the article presents as facts
- Opinions: 30% of statements classified as editorial or subjective
- Claims: 10% of statements surfaced for additional reader evaluation
Credibility & Bias Reasoning
Credibility assessment: The article relies on a survey commissioned by a company that offers services related to the problem discussed, indicating potential bias. However, it also includes quotes from an independent CIO and a co-author, and acknowledges the commissioning entity's business interests.
Bias assessment: Vendor-Critical Software Market Perspective. The article strongly emphasizes the negative aspects of enterprise software vendor practices and the lack of control enterprises have. It highlights the financial and innovative costs imposed by vendor-driven upgrades, framing vendors as the primary cause of these issues.
Note: This article is based on a survey commissioned by Origina, a company that provides software maintenance. While it presents findings about enterprise software budgets, consider the potential for bias in the survey's framing and Origina's business interests.
Credibility flag: Caution: Commissioned Survey
Claimed Facts (8)
- This is a quantifiable statistic presented as a factual finding from the survey.
- This provides the methodology and sample size of the survey, presenting it as factual data.
- This details the geographical distribution of survey respondents, presented as factual data.
- This specifies the revenue threshold for participating companies, presented as a factual criterion.
- This is a direct statistical finding from the survey presented as a fact.
- This provides a further statistical breakdown of the frequency of the issue, presented as a fact.
- This presents a statistic on the respondents' support for legislative action, framed as a factual finding.
- This provides the opposing viewpoint and neutral stance from the survey, presented as factual data.
Opinions (5)
- This statement expresses a belief or perception held by IT heads, rather than a directly measurable fact.
- This is an interpretation of decision-making logic, presented as a reasoned opinion by an author of the report.
- This is a strong assertion about the market's impact and the resulting consequences, reflecting the speaker's viewpoint.
- This statement offers an interpretation of the long-term impact of upgrade cycles, framed as an opinion on capacity and business differentiation.
- This is a piece of advice or a recommendation, representing an opinion on how to manage software budgets.
Claims (5)
- This is an analytical statement about the report's potential bias, rather than a direct claim from the report itself.
- While presented as a survey finding, the belief about the negative impact is subjective and could be influenced by framing.
- The term 'very little real leverage' is subjective and could be an exaggeration of the actual situation.
- The term 'significant disruption' is subjective and lacks specific metrics to quantify the disruption.
- While percentages are given, the direct causal link between unwanted upgrades and reduced funding in these specific areas is an interpretation rather than a definitively proven fact.
Key Sources
- Origina — Software maintenance provider
- Censuswide — Research consultancy
- Tomás O’Leary — CEO and founder of Origina, report author
- James McGlennon — CIO of Liberty Mutual
- Marshall Van Alstyne — Information sciences professor at Boston University, report co-author
This analysis was generated by skim (skim.plus), an AI-powered content analysis platform by Credible AI. Scores and classifications represent the platform's AI-generated assessment and should be considered alongside other sources.
skim analyzes recent Ars Technica coverage for what holds up, what reads as opinion, and what may not be fully supported. Last updated 21st October 2026.