In 2024, despite some investors' expectations that it would be the year when businesses would more widely adopt artificial intelligence (AI) technologies, the reality did not meet these expectations. Budget constraints and the perception of AI as an "experimental" category were the main reasons for this. Looking ahead to 2025, there are mixed views on whether companies will increase their investment in AI and technology budgets.

Some believe that as businesses transition from AI experiments to large-scale deployments, the demand for high-quality data will become even more critical. Additionally, the potential of AI in areas such as code agents for modernizing application development, task-specific models, and multi-cloud deployments is significant. The time to first value (TTFV), which measures the speed of solution implementation, may also become a key factor in evaluating AI adoption by enterprises.

In terms of investment, the focus includes, but is not limited to, companies automating high-cost business models through AI, firms providing data sovereignty services to ensure compliance with local regulatory frameworks, and enterprises building infrastructure to support digital workforces. Quantum computing and cybersecurity are also areas of continued interest.

Opinions are divided on whether companies will increase their technology budgets in 2025. Some argue that, driven by leaders' goals to achieve integration, revenue growth, and operational efficiency, technology budgets in various industries may see an increase. However, others suggest that unless more concrete use cases are identified and tools effectively reduce error outputs, significant increases in enterprise AI adoption are unlikely.

Regarding AI adoption, the general consensus is that, with enhanced model capabilities, the completion of related infrastructure, and the entry of more robust AI-first products into the market, the rate of AI adoption will continue to accelerate. Customized AI solutions and agents with a deep understanding of specific verticals and customer needs are gaining strong momentum.

Finally, in the exit environment, predictions indicate an increase in merger and acquisition activities, with large enterprises seeking to acquire AI expertise. While the IPO market remains cautious, there are still opportunities for rapidly growing and profitable companies to test the waters.