At the Milken Institute Global Conference in Beverly Hills, the discourse surrounding Artificial Intelligence (AI) has shifted from theoretical fascination to stark economic reality. Jason Thomas, Head of Global Research & Investment Strategy at Carlyle, provided a penetrating analysis that challenges many current market hesitations. According to Thomas, we are not merely witnessing a technological "bubble," but rather the dawn of a structural reorganization of the global economy, where productivity is poised for a leap unseen since the Industrial Revolution.
Productivity as the Holy Grail of Growth
Thomas's central argument focuses on the so-called "productivity paradox." While investments in AI are colossal, official GDP statistics have yet to capture the full impact. Thomas explains that this is normal: there is always a lag between the adoption of a general-purpose technology and its manifestation in national accounts. Carlyle predicts that the services sectors, which have traditionally shown low productivity growth, will be the primary beneficiaries. From legal support to healthcare diagnostics, AI enables the automation of complex cognitive tasks, freeing up human capital for more creative and strategic endeavors.
"We are not just seeing an improvement in existing processes; we are seeing a redefinition of what is possible in the services sector," Thomas noted during his interview.
Why the US Dominates Valuations
One of the most compelling aspects of Thomas's analysis concerns the US markets. Despite concerns that tech stocks are overvalued, he argues that US valuations are actually more attractive than ever when considering earnings quality and the strategic positioning of American firms. The US possesses a unique ecosystem: access to relatively affordable energy (essential for data centers), dominance in semiconductor design, and the deepest capital arsenal in the world.
Unlike Europe or Asia, the US has successfully created a "virtuous cycle" where the massive capital expenditures (CapEx) of Hyperscalers—Microsoft, Google, Amazon—directly fuel innovation in smaller software companies. This creates a buffer against inflation, as productivity gains act as a deflationary force, allowing companies to maintain profit margins without necessarily passing costs to the consumer.
The Infrastructure and Energy Challenge
However, Thomas does not overlook the hurdles. The transition to an AI-driven economy requires a physical infrastructure that humanity is struggling to build at the necessary speed. Data centers demand vast amounts of electricity, testing national grids and green transition commitments. Carlyle observes that the investment opportunity is no longer just in "software," but increasingly in "hardware": power utility companies, cooling system manufacturers, and grid infrastructure providers.
- Energy Demand: AI could increase electricity demand by 15-20% in certain regions over the next five years.
- Supply Chain: Dependence on Taiwan for advanced chips remains a geopolitical risk that investors must price in.
- Labor Force: The need for upskilling is urgent, as mid-skill jobs face the most significant pressure from automation.
The Macro Landscape: Interest Rates and Growth
Finally, Carlyle's analysis links AI to monetary policy. If AI indeed boosts productivity, it could allow the Federal Reserve to maintain interest rates at a "normal" level without stifling growth. Thomas argues that the market is beginning to accept that "higher for longer" interest rates are not necessarily detrimental, provided they are accompanied by real increases in business efficiency. His optimism stems from the belief that technology this time is not just a consumer toy, but a wealth-generation tool that will define the winners and losers of the next decade.
