The on-demand tech paradox: Balancing speed and spend
Capgemini's article "The on-demand tech paradox: Balancing speed and spend" explores the shift from large, upfront IT investments to flexible, consumption-based models. Cloud economics are reshaping how organizations budget, innovate, and compete. This story examines the opportunities of pay-as-you-go IT -- and the challenges of balancing agility with cost control in an era where cloud is no longer optional, but essential.
What is the on-demand tech paradox?
The “on-demand tech paradox” describes the tension between the benefits and the growing costs of cloud, SaaS, and Gen AI.
On one hand, organizations are scaling these on-demand technologies to drive agility, innovation, and competitiveness. In fact,
77% of executives say cloud scalability is critical to business growth, and IT budgets are shifting from maintenance to innovation, with on-demand tech expected to rise from
29% to 41% of total IT spend in the next year.
On the other hand, this rapid scaling is creating new challenges:
- 82% of organizations report rising expenses across cloud, SaaS, and Gen AI.
- 58% say on-demand tech costs are a “black hole”, making it hard to see where money is going.
- 56% experience bill shocks due to unpredictable spikes in cloud usage.
The paradox is that the same technologies that help you move faster and reimagine your business can also erode profitability if they’re not governed and optimized strategically. That’s why C‑suite leaders, business unit heads, and FinOps teams are now focusing not just on adoption, but on
optimization, governance, and value realization from on-demand tech.
How can we control rising cloud, SaaS, and Gen AI costs without slowing innovation?
Organizations are looking to reshape how they manage on-demand technologies so they can keep innovating while avoiding cost overruns. The research highlights several practical moves:
- Adopt a cloud-smart strategy
Align cloud and on-demand investments with clear business outcomes and cloud economics. This means:
- Prioritizing workloads based on value, not just technical feasibility.
- Using ecosystem partnerships to get the right mix of platforms and services.
- Creating a shared language of value across finance, tech, and business teams.
- Engineer cost-aware architectures
Design your environment to be scalable and modular, but also cost-efficient:
- Optimize architectures to reduce data egress charges.
- Use “frugal AI” approaches – right-sizing models and infrastructure instead of defaulting to the largest options.
- Build in observability so you can see which services drive cost and performance.
- Expand and mature FinOps
While 76% of organizations have or plan to build FinOps teams, only 2% cover cloud, SaaS, and Gen AI holistically, and 63% focus mainly on operations rather than strategic impact.
To change that:
- Extend FinOps beyond cloud to include SaaS and Gen AI.
- Give FinOps a strategic mandate with cross-functional accountability (IT, finance, and business).
- Invest in upskilling so teams can interpret data and act on it.
- Automate cost optimization
Use AI-driven tools to:
- Identify and shut down idle or underused resources.
- Improve forecasting accuracy to reduce bill shocks.
- Continuously right-size services based on real usage.
- Integrate sustainability into cost management
Merge cost and carbon tracking so you can reduce energy consumption while improving long-term efficiency. This helps you manage both financial and ESG objectives in a single view.
By combining these steps, organizations can rethink their approach to on-demand tech: not just cutting spend, but
redirecting it toward higher-value, better-governed innovation.
Why are cloud sovereignty and governance becoming more important?
Cloud sovereignty and governance are gaining traction as organizations scale on-demand technologies and face stricter regulatory and risk requirements.
The research shows that:
- 46% of organizations are embedding sovereignty into their cloud strategies.
- 42% are willing to pay an average premium of 11% to better manage regulatory risk and ensure long-term resilience.
Several factors are driving this shift:
- Regulatory pressure and data protection – As more sensitive data moves to cloud and SaaS, organizations need clearer control over where data resides, who can access it, and how it is processed.
- Risk and resilience – Sovereign cloud approaches help reduce dependency risks and support business continuity in the face of geopolitical or regulatory changes.
- Decentralized spending and governance gaps – With many teams buying their own tools, 58% of organizations say on-demand tech costs are a black hole, and 56% face bill shocks. Stronger governance frameworks help standardize purchasing, usage, and compliance.
To respond, organizations are:
- Embedding sovereignty requirements into cloud strategy and provider selection.
- Strengthening cross-functional governance across IT, security, legal, finance, and business units.
- Using FinOps and AI-driven tooling to bring transparency to both cost and risk.
This more governed approach helps companies reimagine how they use on-demand tech: not just for speed and innovation, but also for
compliance, resilience, and long-term value.

The on-demand tech paradox: Balancing speed and spend
published by MALA Technology Advisors
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