AI employment forecast misses the mark, IPO predictions hit the target... Silicon Valley tech report card released

A public analysis report aims to examine how the main trends in the enterprise IT industry forecast for 2025 will actually unfold. This is part of the annual end-of-year technology forecast series report evaluated by theCUBE Research, a research institution under SiliconAngle, a Silicon Valley media company. The report presents a transcript-style overview of 10 predictions across fields such as AI, cloud, security, and edge computing, revealing the gap between overall technological market trends and reality.

The lowest-scoring item in the forecast evaluation is employment changes caused by AI. theCUBE Research previously predicted “AI will not reduce jobs in 2025,” but in reality, the unemployment rate among recent university graduates has been higher than the overall average, highlighting the impact of AI, which resulted in a lower credibility rating(C-). This reflects that while companies are fully adopting AI technologies, they remain conservative in hiring new employees.

The highest-rated area is the forecast of IPO market trends. The number of IPOs was sluggish in the first half of this year, but since the second half, especially among cryptocurrency and enterprise technology companies, IPO activity has revived, with major unicorns testing the waters for listings next year. Therefore, the evaluation considers theCUBE Research’s outlook to be accurate(A).

The growth rate forecast for technology investment spending was slightly off. At the beginning of the year, an average IT department budget increase of 5.3% was expected, but due to variables such as rising interest rates and trade uncertainties, the actual reported figure remained in the 3~4% range. This analysis is significant because it is based not on simple data center capital investments but on actual IT decision-makers’ budget growth rates. theCUBE rates itself as C for this.

In the cybersecurity field, the forecast was somewhat realized due to the ongoing trend of building integrated platforms rather than spreading tools. Companies like Microsoft, Wiz, and Palo Alto Networks have led platformization, but it is judged that there is still a demand for new security tools in niche areas, making full integration difficult(B).

On the other hand, expectations for “AI agents” have not yet materialized. With fully autonomous AI systems not yet widespread, and semi-autonomous “half-autonomous” agents like Microsoft Copilot series becoming mainstream, the analysis suggests that security and data privacy issues have slowed down adoption. Therefore, theCUBE gives this item a very high score(A-).

The realization of cloud re-architecture (return to on-premises deployment) has been much more limited than expected. Although some companies increased local investments due to hybrid AI architectures, cloud still overwhelmingly dominates overall workloads. The forecast was generally accurate and rated B+.

The outlook that AI inference monetization in edge environments would fully unfold was considered premature. Although GPU-based ecosystem development is underway, achieving full profitability still requires more time, reflected in a C+ rating.

In the public cloud market, the total sales of infrastructure, platform, and software services have approached $1 trillion, but the actual figure is about $980 billion (approximately 1,411 trillion KRW), indicating limitations in reaching the final goal in the short term. This is rated B-.

Predictions such as the integration of RPA and AI, changes in data control points, and the spread of open table formats were partially accurate, earning ratings between B and C+. Notably, the adoption of Iceberg in data lakehouse environments has expanded.

Overall, this year’s forecast accuracy is rated B-, an improvement of one level from last year. theCUBE states that new forecasts will be released every January, and plans to continue focusing on AI agents, cloud markets, and enterprise data strategies next year to analyze the realism of market trends and technological directions.