Education institutions boost AI spending despite weak financial returns
Nearly half of education organisations plan to increase AI budgets this year, even though only 37% of existing AI projects are delivering positive returns on investment. The disconnect between spending ambitions and financial results points to a sector struggling with the hidden costs of AI infrastructure.
Research from cloud storage company Wasabi surveyed 241 education leaders and found that 67% of AI infrastructure budgets go toward data, storage and compute. Storage costs are becoming the primary obstacle: half of respondents identified data storage issues as their main challenge in implementing AI projects.
Fee structures eating into budgets
The real problem isn't storage itself - it's how cloud providers charge for it. Among education respondents, 54% of public cloud storage spending went on fees like data egress, API operations and data access, up from 50% a year earlier.
This shift has made budgeting unpredictable. Forty-one percent of respondents exceeded their public cloud storage budgets over the past year.
Andrew Smith, Director of Strategy and Market Intelligence at Wasabi, said the survey revealed tension between AI ambitions and financial reality. "Education institutions are eager to dive head-first into AI, but the survey data illustrates a concerning trend regarding expectations vs. fiscal realities," Smith said.
Optimism about future returns
Despite current results, institutions remain committed to AI spending. Ninety-eight percent of education organisations expect AI infrastructure budgets to either rise or stay flat over the next year, with 46% expecting increases.
Respondents also expect the share of projects generating positive returns to climb from 37% to 47% within 12 months. This suggests many believe their projects will improve financially as they mature.
Cyber resilience remains weak
Security concerns complicate the picture. Fewer than half of education respondents (47%) said they were completely confident in their ability to keep data unaltered and operational after a cyberattack.
Forty-four percent had lost access to public cloud data due to a cyberattack. Recent breaches at major universities have heightened scrutiny over how institutions protect and manage data.
More organisations are adopting protective measures. Sixty-three percent now use immutability to prevent stored data from being changed or deleted after an attack, up from 49% a year earlier. Yet confidence in recovery remains relatively low, indicating that investment in safeguards has not fully reassured technology leaders.
The core challenge
For education institutions, the challenge is not whether to invest in AI, but how to manage the data storage and security demands that come with it. Learn more about AI for Education and how institutions are addressing infrastructure costs and AI Data Analysis challenges.
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