AI, Cloud Costs Spiral: Report Reveals Hidden IT Budget Black Holes

📊 Key Data
  • AI-related spending introduces complex pricing models and fragmented accountability, with organizations unprepared for the challenges.
  • AI-driven data center expansion is increasing Infrastructure-as-a-Service (IaaS) costs, but smarter management can reduce spend by up to 50%.
  • Nearly half of all paid SaaS licenses went unused in 2025, resulting in an estimated $20 billion in wasted spending across the industry.
🎯 Expert Consensus

Experts emphasize the need for immediate and robust oversight of AI and cloud spending to prevent runaway costs and escalating risks, advocating for clear ownership, governance, and strategic management to align technology investments with business value.

2 months ago
AI, Cloud Costs Spiral: Report Reveals Hidden IT Budget Black Holes

AI, Cloud Costs Spiral: Report Reveals Hidden IT Budget Black Holes

INDIANAPOLIS, IN – February 10, 2026 – As enterprises accelerate investments in artificial intelligence, they are inadvertently creating new financial black holes, with hidden costs and governance gaps threatening to derail budgets and innovation. A new report from IT expense management leader Tangoe reveals the startling scale of this challenge, providing a data-backed playbook for leaders to navigate the turbulent economic waters of modern technology.

The fifth annual “2026 IT Expense Management Trends and Savings Recommendations” report, built on insights from a massive $34 billion in managed technology spend, argues that the discipline used to manage traditional IT expenses is failing to keep pace with the speed and complexity of AI, cloud, and mobility. The findings serve as a critical warning for IT, finance, and procurement executives: without immediate and robust oversight, the promise of new technology could be undermined by runaway costs and escalating risks.

The AI Spending Surge and Its Hidden Costs

The race to adopt AI is reshaping enterprise budgets at an unprecedented rate. According to the report, AI-related spending is adding a dizzying array of new vendors, complex pricing models, and fragmented accountability challenges that most organizations are unprepared for. The report urges companies to treat AI as its own distinct cost domain, establishing clear ownership and governance before spending becomes uncontrollable.

“Technology is evolving at unprecedented speed, and IT spending dynamics are shifting just as quickly,” said James Parker, CEO of Tangoe, in the press release. “As AI and other emerging capabilities scale, their cost and return profiles are beginning to resemble the early days of cloud – immense promise, but complex, expensive, and often misaligned with business value without disciplined management.”

This surge is having a significant downstream effect on infrastructure. The report highlights that AI-driven data center expansion is putting upward pressure on Infrastructure-as-a-Service (IaaS) costs, including compute, storage, and specialized GPU services. While these costs are rising, Tangoe asserts that significant savings are attainable. The report claims that smarter workload placement, strategic instance selection, and committed-use planning can reduce IaaS spend by up to 50%. This figure aligns with established industry best practices, where cloud providers offer substantial discounts for long-term commitments, a strategy often underutilized by organizations without a mature FinOps practice.

Parker emphasizes the need for proactive control. “Leaders need tools and oversight from day one to help drive measurable ROI. With insight into $34 billion in technology spend intelligence, this report gives IT, finance, and procurement executives the clarity they need to cut through complexity, reduce waste, and build repeatable practices that turn cost optimization into a durable competitive advantage.”

Waste and Risk Compounding in the Background

While AI captures the headlines, Tangoe’s report warns that legacy issues and expanding mobile ecosystems continue to create significant financial drains and security vulnerabilities. The problem of "shelfware"—software that is paid for but never used—has reached staggering proportions in the Software-as-a-Service (SaaS) market. The report finds that in 2025, nearly half of all paid SaaS licenses went unused, contributing to an estimated $20 billion in wasted spending across the industry. This underscores a critical need for enterprises to aggressively audit licenses, reclaim orphaned seats, and challenge auto-renewal clauses.

This unmanaged sprawl is not just a financial issue; it's a growing security threat. The report points to a dramatic increase in the mobile attack surface. Over one million enterprise employees were exposed to mobile phishing attempts in a single quarter of 2025, a 20% increase from the previous quarter. The attacks are also becoming more sophisticated, with AI-driven personalization making them more convincing. Executives, often holding the keys to the most sensitive corporate data, were found to be 23% more likely to fall for these advanced attacks.

“Mobility and telecom are where waste and risk can compound in the background when controls are limited,” noted Chris Ortbals, Tangoe's Chief Product Officer. “AI-driven mobile phishing is becoming more targeted, while legacy services and billing complexity keep draining budgets through leakage, outdated services, and avoidable markups.”

Adding to the pressure, the cost of the devices themselves is on the rise. Research cited in the report projects that average smartphone selling prices could climb by approximately 7% in 2026, driven by demand for AI-capable chips and other component costs. This trend makes disciplined inventory accuracy and lifecycle management more critical than ever.

A Tactical Playbook for Regaining Control

Beyond identifying problems, the report offers a tactical guide for plugging budget leaks and driving efficiency. One of the most glaring areas of overspending remains in legacy telecom services. A Plain Old Telephone Service (POTS) line that once cost around $20 per month can now appear on invoices for as much as $1,400, as carriers aggressively price legacy services to encourage migration. According to Tangoe, replacing these lines where feasible can slash costs by up to 80%.

Billing errors remain another persistent drain. Citing industry audits, the report states that 15-20% of all telecom invoices contain errors, which typically favor the vendor. This finding, consistent with long-term industry analysis, highlights the ROI of implementing automated systems for continuous invoice validation to claw back overcharges.

The report also identifies opportunities in newer technologies like SD-WAN. The market has matured rapidly, with the number of viable vendors for a typical RFP growing from two or three to nine or more. This intensified competition creates strong leverage for enterprises to renegotiate existing contracts or right-size their services for better rates.

Ultimately, the report’s central thesis is that fragmented management is the root cause of waste and risk. Its primary recommendation is for organizations to centralize their IT inventory and automate lifecycle management. By building an always-accurate, audit-ready inventory of every asset—from cloud instances and SaaS licenses to mobile devices and POTS lines—organizations can establish the visibility and accountability needed to make sound financial and operational decisions. This foundational control allows leaders to manage their entire technology estate not as a series of one-off purchases, but as a holistic, strategic portfolio.

The insights from the report make it clear that in the era of AI, managing technology expenses has evolved from a back-office accounting function into a strategic imperative for survival and growth.

Product: Vehicles & Mobility AI & Software Platforms Cloud Services
Sector: AI & Machine Learning Financial Services Cloud & Infrastructure Software & SaaS
Theme: Data Breaches Generative AI Automation Cloud Migration Remote & Hybrid Work Artificial Intelligence Ransomware
Event: Product Launch
Metric: EBITDA Revenue ROI
UAID: 15133