Recent market volatility has prompted investors to reassess expectations around artificial intelligence (AI), particularly across areas most closely associated with the initial infrastructure build-out.
Key Takeaways
- AI investment opportunities are broadening beyond the infrastructure winners
- The focus is moving from "AI builders" to businesses that can effectively apply AI
- Industrials and financial services are emerging as key beneficiaries
- Power could become the next major AI investment theme
Recent market volatility has prompted investors to reassess expectations around artificial intelligence (AI), particularly across areas most closely associated with the initial infrastructure build-out. While some of the market's early AI leaders have experienced a pullback, the broader AI investment story remains intact, with growing evidence that businesses are beginning to generate tangible returns from AI adoption.
As the technology matures, investment opportunities are starting to broaden beyond the companies building AI infrastructure and towards those positioned to benefit from its wider economic impact. According to Morgan Stanley's analysis, the next phase of the AI cycle may be characterised by a shift from concentrated winners to a broader range of industries benefiting from increased productivity, capital expenditure and business transformation.
The AI Story Is Expanding
The first phase of the AI investment cycle was largely driven by businesses supplying the computing power and infrastructure required to enable rapid advances in AI capabilities. Strong earnings growth and repeated upgrades to expectations underpinned this trend.
However, as those expectations become more fully reflected in valuations, investors are increasingly looking toward the "second-order" beneficiaries of AI. These are businesses and sectors that may not be directly involved in creating AI technologies but stand to benefit from the flow-on effects of greater AI adoption across the economy.
This broadening of the investment opportunity set reflects a common pattern seen throughout previous technological revolutions, where the greatest long-term value often extends beyond the original innovators and into the industries transformed by the technology.
Quality Businesses May Be Well Positioned
Morgan Stanley believes the current environment favours high-quality companies with strong cash flows, resilient earnings and sustainable competitive advantages. As markets move beyond the earliest phase of the AI cycle, investors may increasingly reward businesses that can translate AI adoption into operational improvements and productivity gains.
Rather than focusing solely on technology providers, attention is turning to sectors where AI can enhance efficiency, lower costs and support long-term earnings growth. This includes areas as diverse as manufacturing, financial services and consumer businesses.
Manufacturing and Industrial Activity Could Benefit
One area attracting increasing interest is the industrial sector. While data centre construction remains an important source of demand, Morgan Stanley sees broader structural drivers emerging, particularly through increased automation, infrastructure investment and the potential reshoring of industrial production.
AI is expected to play a key role in modernising manufacturing processes and improving productivity. Combined with policy support and growing capital investment, this could contribute to a multi-year cycle of industrial renewal. Businesses involved in industrial automation, machinery, equipment supply and large-scale infrastructure projects may all benefit from these trends.
Financial Services are Embracing AI
Financial Services is another sector where AI adoption is beginning to produce measurable outcomes. Large financial institutions are increasingly deploying AI tools across a range of functions, from client servicing and operational workflows to research and risk management.
Morgan Stanley highlights the potential for meaningful productivity improvements, particularly among larger institutions with the resources to invest heavily in technology. In addition to operational efficiencies, increased capital markets activity linked to AI innovation may provide further support for parts of the sector.
The Next AI Bottleneck: Power
While computing capacity has been a major focus of the AI build-out, attention is increasingly turning to a less discussed but critical challenge: power availability. Morgan Stanley believes energy infrastructure may become one of the most important constraints on future AI growth, with projected demand from data centres exceeding available power capacity in coming years.
As AI systems become more powerful, their energy requirements continue to rise. This creates opportunities across the broader energy ecosystem, including power management technologies, backup systems, distributed energy solutions and infrastructure designed to accelerate access to reliable power sources.
The growing importance of electricity supply highlights how AI's economic impact extends well beyond software and semiconductors. Future beneficiaries may include businesses involved in energy generation, grid resilience, power electronics and technologies that help bridge the gap between rising demand and available capacity.
Looking Ahead
The recent pullback in parts of the AI market may mark less a rejection of the AI theme and more a transition into its next stage. While AI infrastructure remains critical, the investment opportunity set appears to be expanding as adoption accelerates across industries and businesses find new ways to generate value from the technology.
For investors, this may mean looking beyond the companies that built the AI revolution and towards the businesses helping to power it, apply it and benefit from its broader economic effects. The next chapter of AI could be less about a handful of technology leaders and more about how transformative technologies reshape industries across the global economy.
To hear more on this, watch Simon Clark's interview on Ausbiz on 11 Aug 2026.
