Technological change is not new to markets, but the current wave of artificial intelligence (AI) and automation may be one of the most far‑reaching disruptions in decades. In a recent Prof G Markets conversation, economist Justin Wolfers argued that the coming transformation in productivity, jobs, and growth could be larger than most investors appreciate, even as markets focus intensely on a handful of companies becoming the eventual “AI winners.” You can reference our earlier commentary on a September podcast in which Wolfers’ focuses on AI policy and inequality here.
This raises the fundamental question- What might an AI‑driven economy mean for companies, workers and consumers?
Why This Disruption Matters Now
Wolfers’ central point is that AI is best understood as a general‑purpose technology, akin to electricity or the internet, with the potential to reshape how work is done across nearly every industry. That kind of technology does not just create a few new companies; over time, it can raise productivity across the entire economy, influencing economic growth, corporate earnings, and living standards.
At the same time, the timing and path of these benefits are uncertain. Markets may overshoot in the short run, concentrating enthusiasm (and capital) in a narrow group of highly visible companies, while underestimating slower, diffuse gains in more traditional sectors that quietly adopt AI tools. For investors, the message is not to predict which specific company will dominate, but to recognize that structural change is a feature, not a bug, of long‑term investing.
Productivity, Growth, and Jobs
A core theme of the discussion is the potential for AI to boost productivity—the amount of output produced per hour of work. Historically, sustained productivity gains have been a major driver of real economic growth and, over time, higher corporate earnings and equity returns.
However, those gains are unlikely to be evenly distributed. Some roles will be automated or augmented more than others, leading to both dislocation for certain workers and new opportunities for those who can leverage these tools. From a macro perspective, the transition may look messy, even if the destination is more prosperous.
Hype vs. Durable Opportunity
Unsurprisingly, equity markets have already identified AI as a major theme, concentrating extraordinarily high valuations in a relatively small group of companies seen as category leaders. Wolfers emphasizes that while some of these firms may justify high expectations, investors should remember that previous technological waves—railroads, electricity, the internet—featured both long‑term winners and large numbers of overhyped stories that ultimately disappointed.
Professor Wolters also focuses on the eventual outcome. Will there be “one big winner” versus many winners in the AI economy? Will the gains from a general-purpose technology get distributed to workers and consumers? In the first scenario, a single dominant platform captures most of the profits and shareholders and company owners win disproportionately, while the broader public may see a narrower share of the economic upside, and perhaps much downside with reductions in jobs.
In the second scenario, Wolters leans toward more shared gains as a possible outcome, where AI looks like a “gas station on every corner.” For example, Chat GPT was developed by Open AI, but today there is serious competition from Anthropic, Google. Meta, Microsoft and Amazon. Competition generally means better products and lower prices to consumers. The underlying tools may become widely available and therefore millions of firms and professionals can embed AI into their workflows, products and services, with much of the economic benefits of AI being shared with consumers and workers. It’s possible that one of AI’s biggest winners might ultimately be the public, not a handful of mega-caps.
In other words, is AI a substitute for labor or is it a complement?
What This Means for Younger Investors
For younger investors in the accumulation phase, the main implication of this conversation is that they should maintain a diversified portfolio, stay invested and continue building wealth in a world where change is constant. In addition, they need a long-term plan that integrates all aspects of wealth management: financial planning, tax reduction and investments including regular monitoring and updating. See Discover the DWM Difference.
Another practical implication is that AI is as much a story about human capital as it is about financial assets. Younger workers have time and flexibility to adapt—by developing skills that complement AI, moving into roles that leverage these tools, or building businesses that use automation to scale more efficiently.
From a planning perspective, this means:
- Viewing education, training, and career decisions as key investment choices.
- Recognizing that higher lifetime earnings and employability often matter more than short‑term portfolio tweaks.
- Being intentional about aligning career paths with areas where technology is likely to amplify, not replace, human judgment and creativity.
In short, an AI‑driven economy can be a powerful tailwind for younger investors who combine systematic saving and investing with thoughtful management of their own skills and careers.
What This Means for Older and More Conservative Investors
For pre‑retirees and retirees, the conversation around disruption takes on a different tone. The goal is to continue to participate in long‑term growth while managing sequence‑of‑returns risk and preserving the ability to fund lifetime spending needs, wants and wishes.
For older investors a prudent response requires once again, stress‑testing retirement plans under different return and inflation scenarios, and maintaining an asset allocation that meets your objectives, your risk profile and can produce long-term peace of mind. In an AI‑driven world, the principles of retirement planning remain: maintain diversification, protect your spending goals, and allow a portion of the portfolio to participate in long‑run growth.
How can a Wealth Manager like DWM help you with the AI race?
AI is likely to be a genuine economic force, not just a passing fad. It is the key story of 2025 and will likely be the key story of 2026. Of course, its impact will be complex, uneven, and difficult to time. For a total wealth management firm, that reality reinforces the importance of planning and process over prediction.
A prudent and thoughtful approach typically includes:
- Treating AI exposure as one component of a diversified equity allocation, not a standalone bet. And, where possible, reduce overall investment risk through use of additional equity asset styles, like international, emerging markets and small cap and employing fixed income and alternatives.
- Integrating investment, tax efficiency, and financial planning so that clients can capture long‑term growth while preserving flexibility as the economic landscape evolves.
Crucially, no single innovation, however important, overturns the core tenets of sound investing: maintain a disciplined strategy, manage risk thoughtfully, align portfolios with personalized financial plans, and do this with tax efficiency. AI may change how the economy grows and which companies lead, but the job of a fiduciary adviser like DWM remains the same—help clients navigate change with clarity, context, and a long‑term perspective.
DWM is here to help. We’re committed to protecting and enhancing your net worth and legacy through our value-driven, unique wealth management services, all in a fee-only, client-first capacity.
Happy Holidays to everyone!!
https://www.youtube.com/watch?v=xA9nRaI71dw
https://open.spotify.com/episode/1e6yDzsCue3PwijBLrKAaB?si=c00378f909154d4d