AI Unraveled: Separating Hype from Opportunity | January 29, 2026
Artificial intelligence has rapidly evolved from a niche technology topic into one of the most significant economic and investment themes of our time.
To help investors better understand this changing landscape, we hosted AI Unraveled: Separating Hype from Opportunity, featuring Bipan Rai and Malcolm Stephen White from BMO Global Asset Management.
The discussion examined AI through both an economic and innovation lens, helping attendees distinguish potential long-term opportunities from short-term market enthusiasm.
AI Has Become a Real Economic Driver
Artificial intelligence is no longer simply a future concept. It is already influencing economic growth, corporate investment, and productivity.
Since 2022, spending on AI-related software, research, and infrastructure has accelerated significantly. Investment is also expanding beyond technology companies into areas such as materials, utilities, energy, and industrials as businesses build the infrastructure required to support greater AI adoption.
This growth may also create opportunities outside the United States. Resource-rich countries such as Canada could benefit from increasing demand for the metals, energy, and infrastructure required to support AI development.
The AI Trade Is Maturing
During the early stages of the AI boom, broad exposure to technology stocks generally performed well as markets treated AI as a relatively unified growth story.
Today, investors are becoming more selective.
As companies invest significant amounts of capital into AI initiatives, profitability, balance-sheet strength, valuation, and the ability to generate an attractive return on that investment are becoming increasingly important.
The conversation is evolving from "Who is involved in AI?" to "Who can profit from AI?"
More Than Another Technology Cycle
One of the most compelling themes from the webinar was the possibility that AI could represent the beginning of a broader industrial transformation rather than simply another technology trend.
In only a few years, AI capabilities have expanded rapidly from generating text to creating images and video, building software applications, and developing complex digital environments.
AI is also increasingly moving into the physical economy through applications in:
- Transportation
- Logistics
- Manufacturing
- Healthcare
- Scientific research
- Robotics
As these capabilities expand, AI has the potential to reshape how businesses operate and how entire industries create value.
Real-World Applications Are Already Emerging
The webinar highlighted several examples showing how AI is moving beyond theory and into practical business applications.
One example was Waabi, a Canadian autonomous trucking company using artificial intelligence in transportation and logistics.
Other examples discussed included:
- AI systems creating interactive 3D environments from simple prompts
- Small businesses using AI to produce commercial-quality advertising content at significantly lower costs
- Researchers using AI to accelerate scientific discovery and shorten development timelines
- These examples demonstrate how AI is increasingly becoming embedded in everyday business operations.
The Infrastructure Behind AI
While much of the public attention remains focused on chatbots and software applications, a major infrastructure build-out is taking place behind the scenes.
Technology companies are investing heavily in:
- Semiconductors
- Servers
- Data centres
- Networking equipment
- Energy infrastructure
This infrastructure provides the foundation required for AI systems to operate at scale.
A particularly important theme is the relationship between AI and energy demand. As AI adoption grows, data centres are expected to require substantially more electricity, potentially creating opportunities across utilities, energy production, and supporting infrastructure.
For investors, some of the beneficiaries of AI may therefore be the companies providing the "picks and shovels" required to build and power the ecosystem.
The Democratization of Knowledge
AI is also lowering barriers to innovation.
Tasks that once required specialized expertise in programming, mathematics, engineering, or scientific research can increasingly be supported by sophisticated AI tools.
Potential areas of impact include:
- Drug discovery
- Materials science
- Software development
- Engineering and design
- Business productivity
Over time, the resulting productivity improvements could have implications across virtually every sector of the economy.
What Does This Mean for Investors?
AI remains a compelling long-term investment theme, but the path forward is unlikely to be smooth.
Periods of enthusiasm will likely be accompanied by periods of disappointment and volatility. Successful investing will require discipline, patience, and an understanding of where sustainable value is actually being created.
Active vs. Passive Investing
Passive strategies can provide broad exposure to AI-related growth, but they can also create exposure to businesses that may struggle to generate attractive returns on their substantial AI investments.
Active management can potentially help investors:
- Differentiate between winners and losers
- Manage volatility
- Reduce unintended portfolio risks
- Access emerging opportunities
- Opportunities Beyond Technology
- AI-related opportunities are not limited to semiconductor and software companies. Areas discussed during the webinar included:
- Healthcare
- Materials
- Utilities
- Infrastructure
- Energy
Many of these sectors could benefit from the continued build-out and adoption of artificial intelligence.
Not All Companies Will Benefit Equally
Another important takeaway was that AI's impact will vary significantly from company to company, including within the same industry.
Some businesses could face disruption as AI replicates functions that previously differentiated their products. Others may successfully integrate AI into their platforms and create entirely new value propositions for customers.
The key lesson for investors is to avoid broad assumptions. AI is likely to create both winners and losers, making company-specific analysis increasingly important.
AI and the Workforce
Questions about AI's effect on employment naturally arose during the discussion.
In the short term, significant investment in AI infrastructure is creating demand across construction, engineering, energy, and data-centre development.
Over the longer term, some roles will change or disappear while new types of work are likely to emerge. One of the clearest messages from the webinar was that individuals who learn how to work effectively alongside AI may have a meaningful competitive advantage in the years ahead.
Key Investor Takeaways
- AI is no longer simply a speculative concept. It is already influencing economic activity and corporate investment.
- The market is moving from broad AI enthusiasm toward identifying individual winners and losers.
- Opportunities extend beyond technology into healthcare, materials, utilities, infrastructure, and energy.
- AI could become an important driver of productivity and innovation over the coming decades.
- Investors should balance participation in innovation with diversification, valuation discipline, and thoughtful risk management.
Final Thoughts
Artificial intelligence is powerful, disruptive, and still in its relatively early stages.
While periods of volatility are inevitable, the opportunities created by this technological transformation could be substantial. For investors, the objective should not be to chase headlines or the latest market trend. Instead, it is to thoughtfully participate in innovation while maintaining a disciplined and diversified investment approach.
As this theme continues to evolve, our team remains committed to helping clients understand the opportunities, navigate the risks, and determine how emerging investment themes may fit within their broader financial plans.