The surge in AI computing has reshaped the global investment landscape. A report from the World Economic Forum highlights how leading organizations are moving beyond mere experimentation toward AI deployments that have a tangible impact on performance.
AI is projected to generate US$7 trillion from generative AI alone. In addition, AI is expected to boost U.S. labor productivity by 0.5–0.9 percent per year through 2030. When combined with other automation technologies, generative AI could drive productivity growth of up to 3–4 percent annually.
Unfortunately, a Deloitte report in 2025 revealed that around 30 percent of corporate generative AI projects are expected to stall due to poor data quality, inadequate risk controls, rising costs, and unclear business value.
Even Microsoft CEO Satya Nadella has warned that there may be excessive investment in AI infrastructure, urging organizations to quickly measure the real-world impact of AI.
Satya Nadella also emphasized that AI is not a solution without the right structure. Otherwise, companies will simply spend large amounts of money on projects that ultimately fail.
Today, the key question for companies is no longer whether to invest in AI, but how to make strategic decisions about which projects to fund. Companies must know when to pull the plug on failed initiatives and when to stay the course.
Why AI Attracts Massive Capital
AI continues to attract massive waves of capital from investors. This is because AI has become a core pillar across nearly every sector—from energy, healthcare, and finance to national security.
According to IDC, global spending on AI software is expected to reach US$307 billion (C$429 billion) by 2027, up from around US$184 billion (C$257 billion) in 2024.
For large institutional investors, such a structural shift cannot be ignored. They need to rebalance their portfolios and allocate more resources toward AI investments.
AI Spending Rises, but Investors Become More Selective
Goldman Sachs Research predicts that corporate capital spending on AI will continue to increase in the coming years. However, investors are becoming more selective when choosing stocks.
Investors have begun shifting away from AI infrastructure companies where operating profit growth is under pressure and capital expenditures (capex) are funded by debt.
At the same time, investors are rewarding companies that demonstrate a clear link between capital spending and revenue, such as some of the world’s largest cloud platform operators.
For example, earlier this year, major AI stocks rose in tandem as AI investment spending continued to climb. Since June, however, the average stock price correlation among large public AI companies has fallen from 80 percent to just 20 percent.
Many investors believe that AI adoption will ultimately drive higher economic productivity growth and benefit a broader range of companies. However, in practical terms, most investors remain focused on near-term revenue beneficiaries of the current AI investment boom.
Profit Outlook from AI
Today’s leaders are using AI not only to enhance what already exists, but also to move faster, reimagine, and build what comes next. Ultimately, the organizations that will thrive are those that use AI not merely for efficiency, but to fundamentally rethink what is possible for customers, products, and markets.
The expected economic gains from AI are one of the main drivers behind strong investor interest. AI has shifted from being a risky emerging technology to becoming one of the largest generators of revenue growth.
In fact, revenues from AI-driven companies are so strong that they are changing how analysts model long-term valuations. In the S&P 500, for example, more than 60 percent of total revenue growth in 2024. It’s came from companies directly linked to AI infrastructure, cloud computing, advanced chips, or automation.
McKinsey estimates that AI will contribute US$17.1 trillion annually to the global economy by 2030. A 2025 PwC survey also found that 73 percent of CEOs worldwide believe AI will significantly change how they operate within the next three years.
As a result, many investors have begun allocating capital to sectors poised to benefit most in the AI era. Such as chip manufacturers, cloud computing giants, cybersecurity firms, software companies, and telecommunications providers.
