Eric Kutcher can’t sleep. The North America chair at McKinsey & Company lies awake thinking about America’s $40 trillion national debt. He sees one path out. Artificial intelligence.

“That would be the magic bullet,” Kutcher told reporters at the firm’s media day in New York on Wednesday. He spoke of AI lifting productivity enough to drive U.S. GDP growth toward 4%. Current growth? A 2.2% annualized pace in the second quarter. Business Insider captured the moment.

Without those gains, Kutcher sees no other way. Debt service costs climb. Treasury yields rise as investors fret. The burden grows heavier. And conventional fixes? They haven’t worked.

The Productivity Imperative

Kutcher’s view aligns with broader analysis. Higher growth from AI could generate tax revenue and slow the debt’s march. Economists have modeled it. A once-in-a-generation productivity shock might cut annual deficits from roughly 6% to 2% of GDP by 2036. But offsets lurk.

Longer lifespans raise entitlement spending. Displaced workers strain safety nets. Income shifts from labor to capital can lower effective tax rates. Higher interest rates add debt service. An AI arms race might boost defense outlays. Together these forces could recapture more than half the fiscal benefit, according to a July Brookings Institution paper. (Brookings)

So. Not a complete fix. Still meaningful. The New York Times reported in August that an AI tax boom could curtail America’s debt, though it won’t solve the problem outright. Economists expect gross debt to keep growing, just more slowly. (The New York Times)

Moody’s Analytics chief economist Mark Zandi echoed the theme weeks earlier. AI-powered growth could help tackle the $40 trillion pile. Yet policymakers still face hard calls on taxes and mandatory spending. No escape there. (Yahoo Finance)

Kutcher himself has spoken before on sustaining U.S. competitiveness. In McKinsey’s own research he noted the country’s phenomenal run. A quarter of global GDP. More than half the world’s top companies. Debt, eroding infrastructure, and talent gaps threaten that edge. “I don’t bet against the US,” he said. But success demands action. (McKinsey)

Recent interviews reinforce his optimism on jobs. Kutcher told Bloomberg Surveillance that AI creates opportunity. There will be more jobs in 2035 than today. Software developers who train models stay in high demand. CNBC covered his appearance on Squawk on the Street discussing AI’s labor market impact. (Bloomberg)

But the debt conversation hits different. It keeps him up at night. Investors have already responded. Higher yields make borrowing costlier. The feedback loop tightens.

Infrastructure Constraints Threaten the Vision

Optimism meets reality fast. Kutcher warned that energy constraints could slash projected data-center capacity by 25% to 30%. Power supply must expand. Otherwise the hardware needed for AI’s productivity gains simply won’t arrive at scale.

This point lands hard. Data centers running AI workloads could consume as much electricity by 2030 as California does today. Globally thousands of gigawatts of energy projects sit waiting for grid connections. McKinsey’s own technology trends outlook flagged these shortages in talent, capital, and energy. (Asianet Newsable)

Enterprise adoption tells a mixed story too. McKinsey’s 2026 State of AI survey shows individual productivity soaring. Eighty percent of workers say AI helps them. Half credit it for better decisions. Yet only 6% of companies report significant financial impact. The gains leak before they reach the bottom line. (Wall Street Journal partner content)

Agentic AI adds complexity. It can cut human time on tasks dramatically. Yet costs vary wildly. Up to 30 times difference between runs. Run costs often exceed build costs. Organizations now treat AI spend as a managed category. The bill is coming.

Even so. Kutcher bets on American entrepreneurial spirit. He points to past waves. The economy adapted. Jobs shifted. Output rose. This time carries higher stakes. Debt-to-GDP ratios head toward levels not seen since World War II. Defense spending already trails annual interest payments.

Economists at the Budget Lab at Yale and others reach similar conclusions to Brookings. Productivity helps. It doesn’t erase the need for choices. Congress could spend the dividend. Tax policy matters. How gains split between labor and capital determines revenue impact.

Kutcher’s message carries weight inside the firm and out. He led McKinsey’s Technology, Media & Telecommunications practice. Served as CFO. Oversaw major operational shifts. His words reflect both analysis and lived experience with clients wrestling these questions.

The coming years will test the thesis. If AI delivers sustained 1.5 to 2 percentage point boosts to productivity growth, the math improves. Deficits shrink as a share of a larger economy. Interest costs become more manageable relative to revenue. But the infrastructure bottlenecks must clear. Energy policy, permitting reform, and investment must align. Otherwise the magic bullet misfires.

Markets watch closely. Treasury yields already price in some skepticism. Corporate boards debate AI budgets against near-term returns. Government planners model scenarios that once seemed abstract. And Kutcher? He continues to lose sleep over the debt. But he sees a way forward. One measured in compute cycles, power generation, and the pace at which organizations actually rewire how work gets done.

Recent coverage shows the conversation accelerating. HyperAI summarized Kutcher’s remarks and noted alignment with macroeconomic anxiety. Ray Dalio’s warnings about approaching financial limits add urgency. (HyperAI)

The stakes feel concrete. A few percentage points of extra growth each year compounds powerfully. Over a decade it changes fiscal trajectories. It buys time for harder reforms. Miss the window and the debt burden crowds out investment in the very technologies that could solve it. Simple as that.