Portfolio Solutions Group
Since the release of ChatGPT in late 2022, artificial intelligence (AI) has quickly shifted from an emerging concept to a mainstream economic force. It’s reshaping how companies operate and how investors evaluate long-term growth opportunities. From optimizing customer service to enhancing supply chains and supporting predictive analytics, AI’s influence continues to expand across industries.
The term AI describes systems which analyze data, identify patterns and generate predictions or decisions across a wide range of applications. In finance alone, AI is now used in fraud detection, credit scoring, portfolio optimization, and algorithmic trading. AI technologies include machine learning, natural language processing, generative AI and agentic AI, which can autonomously plan, make decisions, and execute tasks.
Given its rapidly expanding impact, AI represents one of the most significant technological shifts in decades, and its implications for portfolio construction and asset allocation merit close attention.
AI as a driver of productivity gains
AI adoption has accelerated as it becomes a foundational tool for improving business efficiency. According to Stanford University’s Artificial Intelligence Index Report 2025, 78 % of American organizations used AI in 2024, an increase from 2023 when 55 % did.
In Canada adoption is also increasingly visible. For example, healthcare providers are using AI diagnostic tools to support earlier detection in radiology and pathology. Meanwhile, TD Bank is applying AI to enhance fraud detection in real time while Shopify is using it to help small businesses improve inventory management and personalize customer engagement.
These developments matter to investors because productivity gains can support stronger economic growth, improved profitability and better long-term returns. At the same time, benefits will vary across industries and unfold unevenly over time.
AI investment momentum and valuation dynamics
Investor enthusiasm for AI continues to grow, supported by rising investment flows, strong earnings and expanding opportunities across the broader technology ecosystem. Companies building AI infrastructure—such as Microsoft, Alphabet, Meta, and Amazon—are investing heavily in data centres and computing capacity. Semiconductor leaders, like NVIDIA, continue to experience exceptional revenue growth, while software firms, including Salesforce, are integrating AI tools that enhance customer productivity.
While these trends are encouraging, valuations in some areas have also risen significantly. NVIDIA, for example, trades at a premium multiple that reflects high expectations for future growth. The key question is not whether AI will be transformative, but whether current valuations accurately reflect the opportunity or embed too much optimism.
Historical experience provides useful perspective. The dot-com cycle of the late 1990s demonstrated how periods of technological innovation can also involve phases of excessive market enthusiasm. While today’s environment is more grounded in real earnings and business adoption, the dot-com era reminds us that even transformative technologies can experience valuation cycles.
To navigate these dynamics, Portfolio Solutions Group at Canada Life Investment Management Ltd. works with investment managers who evaluate both the strategic vision of companies and the realism of their valuation. Expectations for AI-driven growth are aligned with actual business potential.
Diversifying across investment styles
The rapid appreciation in AI-related equities has increased concentration risk, particularly in the U.S. market. Technology companies account for a large share of recent S&P 500 performance, and the weighting of the index’s top holdings has nearly doubled over the past decade. Diversification across regions, sectors, market capitalizations, and investment styles remains essential.
Growth-oriented managers tend to focus on companies at the forefront of AI innovation, including semiconductor manufacturers, cloud infrastructure providers and AI-enabled software firms. These firms often have significant scalability and long-term earnings potential, though valuation discipline remains critical.
Value-oriented managers look for companies benefiting from AI adoption in more incremental ways—manufacturers improving production efficiency, financial institutions automating processes, or service firms reducing operating costs. These companies may offer more reasonable valuations while still participating in the broader trend.
Both perspectives contribute meaningfully to diversified portfolio outcomes, which is why Portfolio Solutions Group blends complementary investment styles.
Positioning portfolios for resilience
While AI will continue to influence industries and markets, the path forward will include regulatory developments, funding pressures, and valuation adjustments. Some companies will emerge as clear beneficiaries while others may struggle to translate early momentum into sustainable results.
To support resilient portfolio outcomes, Portfolio Solutions Group focuses on:
- Maintaining diversified equity exposure across sectors, geographies, and investment styles, including AI-related opportunities
- Partnering with managers who have strong expertise and disciplined risk oversight, particularly those who emphasize sustainable free cash flow
- Balancing duration and growth exposure in fixed income, with current conditions supporting allocations to high-quality bonds
- Including alternative strategies such as private credit and real assets which provide sources of income and help diversify returns during equity volatility
Looking ahead
AI will remain an important theme through 2026. However, it’s only one of several forces shaping the investment landscape. Trade policy uncertainty, global growth divergence, and evolving governance standards are likely to influence market dynamics in the coming year.
Portfolio Solutions Group remains constructive about the long-term potential of AI while staying mindful of near-term risks. A diversified, fundamentals-based approach, supported by rigorous manager research and thoughtful asset allocation—continues to be the most effective way to navigate an environment defined by both rapid technological change and broader macroeconomic shifts.
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