Freddy Vega warns professional inaction carries the greatest risk.
Bogotá | July 2026
The global labor market is changing faster than traditional education systems can adapt, according to Platzi cofounder and Chief Executive Officer Freddy Vega, who argues that one or two years of consistent technical training can help people enter the technology industry or establish their own companies.
Vega said the growing influence of artificial intelligence, automation and digital business models has weakened the assumption that a university degree automatically guarantees professional stability. Even graduates from fields once considered secure, including software development, are encountering greater difficulty finding employment as companies redefine the skills they require.
His central warning is directed not against universities, but against professional inaction. No educational institution or training platform can guarantee employment, he acknowledged, yet individuals who stop learning face a greater probability of becoming disconnected from rapidly evolving industries.
Vega described education as an investment capable of generating returns throughout a person’s life. Approximately half of Platzi’s students are already employed professionals seeking to update their knowledge as technology transforms the organizations and sectors in which they work.
The challenge is especially significant in Latin America, where access to higher education remains limited. Figures cited from the Inter-American Development Bank indicate that seven out of ten people complete secondary education, but only around 30 percent continue into a university or another institution of higher learning.
Online education can reduce part of that gap by providing technical instruction without requiring students to relocate, abandon employment or enter a conventional multiyear degree programme. Its flexibility may also benefit people whose economic or personal circumstances previously excluded them from formal higher education.
Vega said approximately half of Platzi’s students do not possess a university degree. According to the company’s reported outcomes, more than 70 percent of those learners begin working in the technology industry or create their own businesses within one or two years of studying on the platform.
He also indicated that some students who previously earned between $200 and $500 per month later reached monthly incomes ranging from $1,000 to $6,000. The figures represent outcomes reported by the platform and should not be interpreted as a universal guarantee, since professional advancement depends on the learner’s location, experience, chosen discipline and sustained application of acquired skills.
For Vega, the decisive factor is not exceptional intelligence or innate talent, but consistency. He recommends studying for at least one hour every day and argues that continuous effort produces more durable results than irregular periods of intensive learning.
The difficulty lies in maintaining that discipline without external supervision. In his book Control, Vega argues that only 17 percent of people possess sufficient autonomy to complete a personal development project entirely on their own. The remaining 83 percent require external structures such as teachers, classrooms, deadlines, managers, parents or the expectation of obtaining a formal credential.
That behavioral reality explains why digital education cannot simply consist of placing recorded lessons online. Platforms must create learning paths, measurable progress, communities and incentives capable of sustaining participation over time.
Vega recognizes that in-person education retains important advantages because it provides social pressure, direct interaction and structured accountability. The future of education may therefore depend less on choosing between physical and virtual formats than on combining the accessibility of digital platforms with the guidance traditionally supplied by classrooms.
Artificial intelligence has become one of Platzi’s most requested areas of study, reaching levels of interest comparable to English-language training. The parallel reflects the growing perception that both capabilities are fundamental for participating in international and technology-driven labor markets.
The urgency surrounding AI education is increasing because generative systems can now write software, analyze documents, produce content and support business decisions. Workers who understand how to integrate these tools into their professional responsibilities may increase their productivity, while those who ignore them risk losing relevance within their organizations.
Vega said new companies are being created with approximately five percent of the workforce that similar businesses might previously have required. Automation enables smaller teams to perform functions that once depended on large departments, fundamentally changing recruitment, organizational design and expectations of individual productivity.
This transformation does not mean that companies can eliminate employees without consequences. Organizations that reduce their workforce too aggressively may lose institutional knowledge, creative judgment and the human capabilities required to supervise automated systems responsibly.
Large corporations generally possess budgets for employee education, but Vega argues that many lack the information needed to determine which skills each worker should develop. Generic training programmes often fail because they are disconnected from the company’s actual processes and operational challenges.
Platzi has responded through Platzi Business, a corporate service that uses artificial intelligence to analyze internal documents, sales calls, operational procedures, objection manuals, presentations and business playbooks. The system then creates personalized learning routes for specific roles within the organization.
Approximately 4,000 companies have adopted the service, according to Vega. The model represents a shift from standardized corporate courses toward training constructed from the real data and working practices of each business.
The broader message is that professional education can no longer be treated as a stage completed before entering the workforce. Technological change is converting learning into a permanent function that continues throughout an individual’s career.
Traditional degrees remain valuable for intellectual formation, regulated professions and access to specialized knowledge. However, they increasingly require complementary technical preparation capable of responding to immediate changes in employment and industry.
In the emerging labor market, credentials may open the first door, but sustained learning will determine who continues moving forward.
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