人工智能技能短缺因薪水需求加劇而加劇

AI-related expenses are inflating budgets by as much as a third, with soaring salary demands complicating recruitment efforts.

According to a report from CloudZero, AI spending is projected to rise by 36% in 2025, pushing the average annual budget past $1 million per company.

A key factor behind this surge is the rising cost of AI talent, as 35% of surveyed organizations identified salary expenses as the primary obstacle to filling critical AI roles.

The competition for elite AI professionals has intensified over the past two years, with tech giants fiercely competing for top candidates. Meta, for instance, is said to have allocated around $100 million in signing bonuses to lure AI specialists from rival firms in Silicon Valley, while Google has launched a major hiring initiative.

These figures apply to top-tier talent, where salaries routinely exceed $100,000, and 25% of professionals earn between $150,000 and $200,000 annually.

CloudZero’s findings also reveal that 32% of companies struggle with a shortage of qualified applicants, while 13% acknowledge their internal teams lack the expertise to properly evaluate candidates.

The most sought-after positions include roles in cloud computing and data engineering.

Additionally, 89% of companies reported that AI is generating entirely new job categories, even as nearly two-thirds express concern over potential job displacement.

“This highlights the importance of balancing technological advancement with workforce reskilling to adapt to the changing employment landscape,” the report emphasized.

These insights align with earlier findings by Indeed, which forecasted that AI skills would unlock the most profitable career paths, with AI-equipped employees earning 47% more than their non-AI counterparts.

ROI vs AI Costs

While AI spending continues to climb, only half of the surveyed companies feel confident in measuring their return on investment (ROI).

"AI expenditure is cycling through the same wave of hype we've seen with past transformative technologies: heavy investment, limited clarity," said Erik Peterson, founder and CTO of CloudZero.

"What sets this shift apart is the unprecedented scale and velocity of spending."

Peterson noted that organizations capable of clearly linking AI initiatives to business results are increasing their investments significantly.

"Similar to the cloud revolution, AI will eventually become an integral component of modern business operations," he added.

"When that transition completes, it won’t be the largest corporations that dominate — it will be those with the strongest AI unit economics, the ones who can scale efficiently and profitably."

The report identifies public cloud platforms, generative AI tools, and cybersecurity systems as the biggest cost drivers across infrastructure. Looking ahead to 2026, companies plan to focus spending on AI explainability, security, and compute or cloud resources.

"In 2025, 44% of organizations intend to invest in enhancing AI explainability, aiming to improve transparency and accountability in AI systems by making model decisions easier to understand," the report stated.

"Such investments typically involve recruiting niche experts and adopting third-party solutions that enhance model interpretability."

Despite challenges in quantifying returns, executives continue to fund AI projects even without clear evidence of financial payoff, as highlighted in reports indicating that boardrooms find AI ROI difficult to assess.

Still, this risk may pay off — Microsoft claims its internal data shows generative AI is already yielding an ROI of $3.70 for every dollar spent.

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