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UK Tech Leaders Prioritize Cybersecurity Over AI Spending, Apptio Report Reveals

UK tech leaders prioritize cybersecurity over AI, with 57% choosing it as their top investment amidst budget constraints, Apptio’s report reveals.

New research from Apptio, an IBM company, indicates that cybersecurity is taking precedence over artificial intelligence (AI) in the competition for technology budgets among UK companies. Despite significant pressure from boards to invest in innovation, 57% of UK tech leaders have identified cybersecurity as their primary investment priority, while 51% favor AI. This trend illustrates a mounting struggle for financial resources between risk mitigation and technological advancement.

The findings, detailed in Apptio’s latest Technology Investment Management Report, reveal that many organizations are not seeking new funding to support these initiatives. Instead, 69% of respondents are reallocating existing budgets to finance new projects, resulting in a direct competition between AI and cybersecurity for the same pool of resources. This competitive landscape raises the stakes for IT leaders, who must justify their spending decisions amidst constrained budgets.

According to the report, overall technology budgets are on the rise, yet confidence in the return on investment remains inconsistent. While three-quarters of respondents reported an increase in IT and software investments, with a quarter noting substantial growth, many executives are uncertain about their ability to directly link expenditures to business outcomes. This gap between spending and measurable results underscores a critical need for greater alignment between financial and operational data.

Ajay Patel, General Manager of Apptio, emphasized the importance of financial discipline and enhanced visibility in technology strategy. He advocates for better integration of financial and operational data to ensure that spending decisions are defensible at the board level and can be directly tied to measurable value. This alignment could prove essential as companies navigate the competing demands of cybersecurity and AI investments.

The research further indicates that a significant portion of AI investment is being sourced internally rather than from new budgets. Approximately two-thirds of AI expenditures are expected to come from existing allocations, intensifying the pressure on IT leaders to make difficult trade-offs and to reprioritize their projects effectively. This internal funding model creates a challenging environment where the justification for reallocating resources becomes paramount.

Apptio suggests that this competitive funding landscape is prompting organizations to adopt stricter practices in technology business management, financial operations (FinOps), and portfolio governance. As companies seek tighter control and clearer outcomes from their investments in cloud technology, AI, and cybersecurity, the ability to demonstrate value becomes increasingly critical.

As organizations continue to grapple with the competing demands of cybersecurity and AI, the landscape of technology investment is likely to evolve. The ongoing prioritization of cybersecurity reflects not only immediate business needs but also a profound recognition of the risks inherent in today’s digital landscape. Looking ahead, companies may need to refine their strategies to balance innovation with security, ensuring that they can thrive in an increasingly complex technological environment.

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Rachel Torres
Written By

At AIPressa, my work focuses on exploring the paradox of AI in cybersecurity: it's both our best defense and our greatest threat. I've closely followed how AI systems detect vulnerabilities in milliseconds while attackers simultaneously use them to create increasingly sophisticated malware. My approach: explaining technical complexities in an accessible way without losing the urgency of the topic. When I'm not researching the latest AI-driven threats, I'm probably testing security tools or reading about the next attack vector keeping CISOs awake at night.

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