Editor’s note: Besides tracking technological advancements and innovations, our author is a Juilliard-trained musical composer. Listen to “Samba Swing”, signifying cross-cultural orientation, an original improvisation by Howard Lieberman, composed for this column.
This is the first of a multi-part series of articles about America’s Time Horizon Problem which we will be running through January.
Competitiveness in the next decade
Short-term profitability may not be compatible with long-term success. We have been rewarding short-term maximization of shareholder value for a long time. This is resulting in shrinking the half-life of companies. It is also resulting in shortening the half-life of careers. America’s businesses and jobs simply do not last as long as they used to.
The quiet export of learning curves
America did not lose competitiveness because it stopped innovating. It lost competitiveness because it treated innovation as a transaction rather than a trajectory. More than a decade ago, I read an article in MIT Technology Review warning that the casual assumption that the United States designed while China merely manufactured was dangerously incomplete. The article argued that manufacturing itself is a powerful source of innovation. That resonated with me immediately, because I had already lived it during the decade I spent at Bose from 1980 to 1990, where we deliberately refused to outsource manufacturing overseas. After all, we understood how tightly production and innovation were coupled.
For several decades, American companies pursued efficiency with extraordinary discipline.
Supply chains were optimized. Labor costs were reduced. Time to market accelerated. Shareholder value increased. By the metrics that governed executive performance, the system worked. But something invisible was moving at the same time. We were exporting not just jobs, but learning curves.
The most widely cited example is Apple. Apple did not simply move assembly offshore. It invested hundreds of billions of dollars over the last decade, transferring process knowledge, yield optimization practices, tooling co-design, and supplier coordination at a scale never before attempted. The goal was speed, precision, and flexibility. The outcome was the creation of a manufacturing ecosystem that learned continuously.
China did not steal this knowledge. It learned it, contract by contract, product cycle by product cycle. Manufacturing was treated as an educational system. Every production run increased national capability. This distinction matters. Manufacturing is not a commodity service. It is a feedback loop between design, materials, tooling, and human skill. When that loop operates at scale for years, it compounds. When it is interrupted, it atrophies.
The problem was not outsourcing itself. The problem was the assumption that the knowledge embedded in manufacturing could be turned off and back on at will. That assumption was false.
Learning curves do not reverse on command.
Globalization explained mechanisms, not the outcome
At the height of globalization optimism, the dominant narrative was that access to information would level the playing field. Talent would distribute itself. Opportunity would equalize. That narrative was articulated clearly in The World Is Flat by Thomas Friedman. Friedman correctly described how connectivity, open standards, and digital infrastructure enabled global participation. What the argument underweighted was time.
Access does not determine outcomes. Time horizons do. American firms treated manufacturing as logistics. China treated manufacturing as a strategy. One side assumed production was interchangeable. The other treated it as cumulative. The result was asymmetry. American companies focused on design, branding, and finance. Chinese firms focused on absorption, iteration, and scale. Over time, the second approach dominates cost, quality, and speed of improvement.
This is not theoretical. Economists and industrial analysts have repeatedly shown that nations retaining manufacturing depth sustain higher innovation rates over time. What globalization flattened was access. It did not flatten discipline, patience, or policy alignment. Those differences accumulated quietly until they became decisive.
As a physicist and engineer, admittedly, I am biased. Still, I do have to wonder and worry about what happens when lawyers and businessmen run some nations. Scientists and engineers run others. There are different amounts of patience expected in these fields because creation is different from manipulation. Neither is by itself a great idea. Now, as a jazz musician who expects to hear my results in seconds, I am not nominating people like me to be in charge, as I have even less patience than lawyers, but one would think a mix of skills and orientation would make more sense long term.
In grad school, I was close to some economists and noticed they never got fired for making bad predictions. When engineers designed things that did not work, they got fired. When chefs make meals that taste bad, they get fired, too. When small businesses run out of money, they go out of business.
When viewing the dance between the government and big business. I do wonder if perhaps we are running out of common sense, and how this happened.
When efficiency becomes strategic myopia
The final piece of the puzzle is cultural rather than technical. American executive culture shifted over time from stewardship to arbitrage. Leaders were rewarded for quarterly performance, cost reduction, and financial engineering. Long-term capability retention was not part of compensation plans. National outcomes were explicitly out of scope. This was not a conspiracy.
It was an incentive system doing exactly what it was designed to do.
I was present when John Chambers spoke openly about the realities of competing globally while leading Cisco. I was horrified when he said there was no reason for Cisco ever to hire an American engineer again if the same results could be obtained for a fraction of the cost elsewhere. Joint ventures and localized engineering were justified as market access strategies.
They also created technically sophisticated competitors who learned rapidly by working alongside the best.
Over time, this pattern repeated across industries. Semiconductors, energy systems, and now electric vehicles show the same structure. Early leadership focused on innovation and design. Follow-on leadership focused on cost and speed. Competitors focused on capability accumulation. When efficiency becomes the dominant metric, resilience disappears from the system. When resilience disappears, reversals become expensive or impossible.
We are now living with the lagging consequences of decisions that made perfect sense inside quarterly reporting cycles but failed at a generational scale. Engineers and scientists tend to think in multiyear horizons because we know from experience how long it takes to accomplish real results. Nontechnical executives tend to think in quarters because compelling stories can move market capitalization quickly, at least until projections are missed and leadership changes.
I blame Wall Street for deifying wishful thinking. Over time, truth tellers became less welcome because they were unwilling to exaggerate. Storytelling displaced systems thinking. This is not about blaming any one group. The entire nation has been seduced by nonlinear success stories. A small number of companies now account for a disproportionate share of economic growth. We all know their names. But they are extraordinary outliers. Each is one in a thousand or one in a million. Of course, each of us wants to believe we are above average. All entrepreneurs believe they are exceptional. Some are. Most are not. This dynamic is not limited to business. We are all susceptible to a good story. That is why, when I was coming up, vice presidents of marketing often earned more than vice presidents of engineering. I do not know if that is still true. I do know it takes far more time and discipline to earn a graduate degree in engineering than in marketing.
This column is about recognizing that a time horizon mismatch produces predictable outcomes. When one system optimizes short-term extraction and another optimizes long-term learning, the result is not competition. It is convergence toward one side.
In the next column, we will examine how this short-term orientation became embedded in executive culture itself, and why reversing it is far harder than acknowledging it.
