Introduction: The Broken Promise of “Learn to Code”
For over a decade, American workers have heard a simple economic message: learn to code, develop technical skills, earn a degree, and secure your place in the modern economy.
Millions took that advice seriously.
Yet many graduates and entry-level software developers now encounter a frustrating reality. Companies advertise technical positions while demanding years of specialized experience. Employers complain about a shortage of qualified workers while overlooking the very people who followed their advice and invested in technical education.
Something doesn’t add up.
Across the technology industry, corporate strategy has increasingly favored acquiring experienced talent over developing new talent. H-1B visas provide access to skilled foreign professionals, while artificial intelligence promises to make existing employees more productive.
Neither is inherently bad. Both can strengthen the American economy.
The problem begins when these tools become substitutes for investing in American workers.
We have created an economy that wants experienced engineers but increasingly questions who should pay to develop them.
And that raises a much larger question: Are we building America’s technical future, or simply renting someone else’s?
1. Skill Is Infrastructure, Not Just a Private Commodity
America understands infrastructure. We build highways, electrical grids, water systems, and communications networks because the entire economy benefits from them.
Technical skills should be viewed through a similar lens.
Historically, land-grant universities, vocational schools, apprenticeships, and public education helped create the workforce necessary to build an industrial nation.
These investments weren’t charity. They were economic infrastructure.
Human capability works much the same way.
Think of technical talent like agricultural soil. You can harvest from it repeatedly, but if you never replenish its nutrients, eventually the land stops producing.
The same principle applies to engineers, programmers, technicians, and other skilled workers.
Every time a company bypasses an entry-level American candidate because someone else already has five years of experience, it avoids the cost of developing that experience.
The immediate financial decision may make perfect sense.
The long-term consequences are another matter.
A young engineer loses the opportunity to make mistakes, solve problems, develop judgment, and eventually become the experienced professional everyone wants to hire.
A country that imports expertise to avoid building its own isn’t necessarily saving money. It may simply be renting capacity it should be developing at home.
Foreign talent can enrich American industry. But it should complement a functioning domestic workforce pipeline, not become an excuse to neglect one.
2. The AI Contradiction: We Have the Technology to Train Workers Faster
Technology executives repeatedly tell us that artificial intelligence is revolutionary.
AI can write code, identify errors, explain complicated systems, analyze documentation, and dramatically accelerate software development.
Fine. Let’s accept that argument.
Then why aren’t we using this revolutionary technology to develop American workers?
Consider what an entry-level programmer can accomplish today with AI assistance compared with someone entering the industry twenty years ago.
A junior developer can ask an AI system to explain unfamiliar code, identify programming mistakes, generate examples, and walk through complex technical concepts.
That doesn’t eliminate the need for experience.
It creates an opportunity to acquire experience more efficiently.
Pair that technology with experienced engineers who provide supervision, judgment, and real-world assignments, and companies could potentially accelerate the development of domestic technical talent.
Instead, much of the corporate conversation revolves around how AI can help existing employees produce more while reducing labor costs.
That’s a choice.
If artificial intelligence really is the revolutionary tool these companies claim, then use it to develop American workers.
AI should be more than a productivity multiplier for people who already have jobs.
It could become one of the most powerful workforce development tools ever created.
But somebody has to make that investment.
3. The H-1B Visa Program: When a Useful Tool Becomes a Permanent Dependency
The H-1B visa program allows American employers to hire qualified foreign professionals in specialty occupations.
There are legitimate reasons for this program to exist.
American companies compete globally. Some projects require specialized expertise that may be difficult to find immediately. International talent also contributes to research, innovation, entrepreneurship, and economic growth.
The question isn’t whether foreign engineers have value.
Of course they do.
The question is whether companies have become too comfortable acquiring fully developed talent rather than helping create it.
Imagine two candidates.
One is an experienced foreign software engineer who can begin contributing almost immediately.
The other is an American graduate with strong technical fundamentals but limited professional experience.
The second candidate may require months of mentoring, supervision, and practical training.
Which candidate is more attractive to a manager facing quarterly performance targets?
The answer isn’t difficult.
And that’s precisely the problem.
Companies respond to incentives. They aren’t necessarily making decisions based on America’s workforce needs twenty years from now.
They’re making decisions based on today’s operating requirements.
They didn’t necessarily create the incentives, but they certainly learned how to operate within them. They followed incentives, not slogans.
This doesn’t mean every H-1B employer is replacing American workers or that every visa represents a missed domestic opportunity.
It means policymakers should examine whether the system sufficiently rewards companies that invest in developing American talent alongside recruiting internationally.
4. The Five-Year Experience Trap: How Do You Build Workers Nobody Will Hire?
Here’s one of the most ridiculous contradictions in the American technology job market.
Employers want experienced workers.
But experience requires employment.
How exactly is someone supposed to obtain five years of professional experience when companies increasingly refuse to hire people without it?
You can’t manufacture a senior engineer without first developing a junior engineer.
Somewhere along the way, someone must take responsibility for that process.
For decades, companies understood that new employees needed training. Workers entered organizations, learned their systems, made mistakes, and gradually assumed greater responsibilities.
Today, many employers appear to expect the education system to deliver something closer to a finished product.
Universities can teach programming languages, algorithms, mathematics, and computer science.
They cannot fully reproduce the experience of maintaining production systems, resolving customer problems, managing deadlines, or making technical decisions under pressure.
That knowledge comes from doing the work.
And doing the work requires somebody to open the door.
Artificial intelligence could help solve part of this problem by allowing junior employees to become productive more quickly.
But AI cannot provide the organizational judgment, accountability, and practical experience that come from working alongside seasoned professionals.
If every company wants a five-year veteran, but nobody wants to train a first-year employee, where exactly do they think the next generation of veterans will come from?
That’s not a talent shortage alone.
It’s a talent development problem.
5. Corporate Incentives Reward Renting Talent Instead of Building It
Businesses are not charities.
They exist to produce goods, deliver services, compete, and generate profits.
There is nothing inherently wrong with that.
But private business incentives don’t always align with long-term national economic interests.
Consider what happens when a company invests heavily in training a young engineer.
It pays the employee while they learn. Senior engineers spend time mentoring instead of completing their own assignments. Productivity may initially decline.
Then, after several years, the employee becomes valuable.
And another company offers them more money.
The original employer absorbs much of the training expense while a competitor benefits from the finished product.
Economists call this a free-rider problem.
From an individual company’s perspective, hiring an already experienced worker can be financially attractive.
From a national perspective, however, somebody still has to produce those experienced workers.
This is where the infrastructure comparison becomes important.
We don’t expect one trucking company to personally finance every highway its vehicles use.
We recognize that the broader economy benefits from transportation infrastructure.
Why should technical workforce development be treated as somebody else’s private problem?
America has become exceptionally good at consuming technical talent. We need to become equally serious about producing it.
That doesn’t require eliminating global hiring.
It requires building financial incentives that make domestic workforce development worthwhile.
6. The National Security Problem Nobody Wants to Discuss
Technical talent isn’t simply another corporate expense.
It’s also a strategic national resource.
Modern military systems, communications networks, energy infrastructure, transportation, cybersecurity, manufacturing, and artificial intelligence all depend on highly skilled technical workers.
A nation that cannot consistently develop its own engineers and technicians creates potential vulnerabilities.
This doesn’t mean foreign-born engineers are disloyal or incapable of contributing to American national security. Many have made extraordinary contributions to American science, defense, and industry.
The concern is institutional dependence.
What happens when domestic training pipelines weaken, critical expertise becomes concentrated in too few organizations, or global competition makes specialized workers increasingly difficult to recruit?
What happens when America’s industrial ambitions require more engineers than its domestic institutions and employers are prepared to develop?
We already understand the dangers of depending too heavily on foreign supply chains for semiconductors, critical minerals, and manufacturing components.
Human expertise deserves similar strategic attention.
You can build a semiconductor factory.
You can purchase advanced machinery.
You can invest billions in artificial intelligence.
But without people capable of designing, operating, maintaining, and improving those systems, the equipment is only part of the solution.
National security isn’t just about the weapons and technology a country possesses. It’s also about whether that country can develop the people needed to build and maintain them.
Technical workforce development should be treated as part of America’s long-term industrial and national security strategy.
7. The Solution: Connect Global Hiring to Domestic Workforce Development
The answer isn’t to shut America’s doors to talented people.
That would be shortsighted.
The United States has benefited enormously from attracting brilliant minds from around the world.
The answer is to stop treating international recruitment and domestic workforce development as unrelated activities.
Companies that depend heavily on specialized foreign talent programs could be encouraged, or under carefully designed rules required, to make measurable investments in American training.
That could include funded apprenticeships, structured mentorship programs, paid entry-level technical positions, partnerships with community colleges, and AI-assisted training initiatives.
The objective shouldn’t be to punish companies for hiring foreign professionals.
It should be to ensure that America’s technical workforce continues growing alongside international recruitment.
There are legitimate trade-offs.
Additional requirements could increase operating costs, create administrative burdens, and encourage some multinational companies to move work overseas.
Those risks deserve serious consideration.
But doing nothing also has a price.
We could establish measurable workforce development goals, offer tax incentives for successful apprenticeship programs, and create stronger partnerships between employers and educational institutions.
Most importantly, we could use AI to make training less expensive and more effective.
Imagine a company receiving incentives for turning promising entry-level American developers into competent midlevel engineers within a structured three-year program.
The company benefits.
The employee benefits.
And America’s technical capacity grows.
A country that treats skill as infrastructure will build it. A country that treats skill as someone else’s problem will keep importing the finished product and wondering why the factory at home went quiet.
Building infrastructure costs money.
So does failing to build it.
Taking the convenient ferry may be cheaper than constructing a permanent steel bridge.
But eventually the river widens, demand increases, and the ferry cannot handle the traffic.
At that point, the bridge you refused to build becomes considerably more expensive.
Conclusion: America Has Everything Except the Will to Connect the Pieces
The United States possesses extraordinary advantages.
We have world-class universities, community colleges, advanced research institutions, enormous capital markets, leading technology companies, and some of the most sophisticated artificial intelligence systems ever developed.
We also have Americans willing to invest their time and money in technical education.
Yet too many encounter an employment system that wants the experience they haven’t been given an opportunity to acquire.
Foreign talent isn’t the enemy.
Artificial intelligence isn’t the enemy.
And businesses trying to remain competitive aren’t automatically the enemy either.
The problem is a system that rewards acquiring finished expertise more consistently than developing new expertise.
We should be capable of doing both.
America can welcome international talent while investing aggressively in its own people.
It can use artificial intelligence to improve productivity while also accelerating technical education.
And it can recognize that developing engineers, programmers, technicians, and other skilled professionals is not merely an employment issue.
It’s an infrastructure issue.
It’s an economic competitiveness issue.
And increasingly, it’s a national security issue.
If America has the people, the technology, and the resources, why aren’t we investing in developing our own talent?
Because at some point, we need to decide whether we’re going to keep renting the future or start building it ourselves.
