Gurvir S. Grewal, Global Research Analyst, William Blair Investment Management, writes that investing has long balanced art and science, blending ambition with caution.
That duality is particularly acute in the artificial intelligence (AI) ecosystem, where billions of dollars drive rapid developments that merit both optimism and scrutiny.
The key questions are whether AI will deliver on its financial promises and who will ultimately capture the returns—corporations or consumers. Outcomes will vary, but we believe today’s multibillion-dollar investments will translate into trillions of dollars of value over time.
AI: An Algorithmic Paradigm Shift
The rise of AI marks the dawn of a new era. To navigate tomorrow’s technological landscape, investors must understand its underlying nature and remember the truism that hardware and software are complementary.
Since the birth of modern computing in the 1940s, engineers crafted systems in which algorithms orchestrated data and compute into a precise, predetermined mechanism. But today, transformer-based models running on graphics processing units (GPUs) have turned that model inside out. If algorithms were once the gears of a clock, now data and compute—the fuel of the internet and semiconductors—are what drive those gears.
This reversal is not semantic. It is a shift in the architecture of progress. Traditional software executes specific instructions deterministically. AI, by contrast, digests massive datasets, continuously adjusting to deliver likely outcomes. It is probabilistic. A model of the real world, AI identifies patterns in data and generates insights with a complexity that often exceeds the limits of human cognition.
The transition from deterministic to probabilistic mirrors the shift from Newtonian physics to quantum mechanics, embracing uncertainty and complexity as central principles.
The Probabilistic Pivot: Redefining Labor, R&D, and Software
AI stands as both a discerning decision-maker and a powerful R&D tool. Its scale, speed, and declining cost make it capable of enhancing or even replacing human judgment, transforming R&D, and redefining software. With vast sums already invested in labour, R&D, and software, AI’s economic impact could reach trillions.
Labour: AI’s March into the Workplace
AI reshapes economic activity by performing routine tasks through inductive pattern recognition. Humans still hold an edge in deductive reasoning, navigating unfamiliar problems through logic and causation. An equity analyst relying solely on pattern recognition could be outpaced by AI, but one applying mental models and causal thinking can still outperform.
AI may complement or replace labour. Companies that harness its capabilities—efficiency, cost-effectiveness, continuous improvement—will likely outcompete those that don’t.
In fields like law, finance, and healthcare, AI lowers cost and expands access to services, forcing professionals to specialise or offer premium value. The result: reduced labor demand and democratised information access.
R&D: Experimentation at Industrial Scale
AI models the real world, functioning as a virtual lab where simulation, rapid prototyping, and iterative refinement accelerate innovation. It integrates data from varied sources—text, code, molecules, video, and more—to optimise outcomes.
Any repetitive process that yields data lends itself to AI-driven experimentation. Industries such as semiconductors, drug discovery, and content creation are already incorporating AI. As AI reduces costs and speeds up cycles, it will likely capture a growing share of R&D budgets.
Software: Code Goes Cognitive
The same forces reshaping labor are transforming software. Meta’s AI curates content for over three billion users. Tesla shifted from rule-based code to iterative AI models, cutting human-written code while improving performance and safety.
AI is already outpacing traditional software. Even now, its ability to model real-world complexity is generating billions in savings.
In a USD100 trillion global economy, AI is positioned to capture a growing share of business and consumer activity.
Much remains to unfold. But AI, as a general-purpose technology, will not only augment other breakthroughs—it will amplify them, propelling value creation into the trillions.
