From DOS and Windows NT to SAP, cloud and artificial intelligence, the connection between learning a new skill and earning more has changed.
“The more you learn, the more you earn.”
For many years, I used this expression when encouraging students and working professionals to upgrade their skills. I saw people change jobs, improve their incomes and, in some cases, transform their family circumstances after a few months of focused training. I still believe in learning. But after decades in education, career counselling and information technology, I believe we must ask a harder question: why does a short skills upgrade no longer produce the same dramatic results for so many people?
Before the personal computer: preparation often took longer
Short vocational courses and apprenticeships existed long before computers became popular. Yet many professional and technical occupations required extensive study, supervised experience or lengthy training. Early mainframe and minicomputer careers often involved substantial preparation in programming, algorithms and computer operations. A person could not simply assume that a weekend course would open the door to a high-paying technical position.
The rapid spread of personal computers changed the opportunities available to ordinary workers. New software, hardware and business systems arrived faster than employers could find people familiar with them. For a time, learning one relevant technology early could provide a significant advantage.
The 1980s and 1990s: a new skill could open a new door
As microcomputers became increasingly common from the mid-1980s onward, people learned programming languages and database tools such as dBase, FoxPro, C and Pascal, opening opportunities for employment and self-employment. Office workers improved their career prospects by learning Lotus 1-2-3, WordPerfect and, later, other productivity applications. Others learned to assemble, maintain and troubleshoot personal computers through short, practical training courses and began offering technical services.
Networking and operating systems created another wave of career opportunities. UNIX, Novell NetWare, Windows NT and related technologies generated growing demand for system administrators, technical support professionals and trainers. When employers urgently needed these skills, focused training could sometimes produce remarkable career outcomes. The real advantage was not simply obtaining a certificate but acquiring valuable, practical skills at a time when relatively few professionals possessed them.
I recall individuals whose annual earnings increased from approximately $25,000 to $65,000 after completing about six months of relevant technical training in the late 1990s. I also remember students who completed a few months of specialized training in Solaris/UNIX, including shell scripting and Veritas technologies, and subsequently secured positions paying more than $80,000 annually.
These examples come from my professional experience and illustrate how acquiring the right skills at the right time can create significant career opportunities. However, they represent individual success stories rather than typical outcomes or guarantees of employment or earnings.
We are witnessing another major technological transformation today, driven by artificial intelligence, automation, cloud computing and cybersecurity. Just as earlier generations benefited from acquiring emerging technical skills, today’s students and working professionals may discover new opportunities by identifying and developing skills that employers increasingly need. The technologies are different, but the underlying lesson remains the same: informed career decisions, timely skills development and practical experience can make a significant difference.
SAP, enterprise systems and the value of being early
The same pattern appeared in enterprise technology. During periods of strong demand, experienced professionals who acquired SAP knowledge could move into consulting assignments with substantial daily rates. In the late 1990s, I observed SAP consulting opportunities at rates around $1,000 per day for some suitably qualified professionals. Those rates depended on the project, specialization, experience and market conditions.
I studied SAP Basis Administration and SAP Security and Authorizations for approximately six months and obtained a government contract within a few months in 2005. This training built on my existing technical experience. Later, as SAP HANA emerged, I pursued two certifications over roughly five months in 2012 and received professional offers. My experience illustrates how a focused upgrade can be powerful when it extends an existing foundation and responds to an emerging business need.
The internet, virtualization and cloud computing produced further opportunities, although not every learner benefited equally. The common thread was timing: employers were adopting new technologies and searching for people who could make them work.
Could complete beginners succeed? Yes—and some surprised me
In the 1990s and early 2000s, I sometimes hesitated to recommend IT to people without a technical background. I worried that they might struggle. Yet the Windows NT era and other technology booms challenged that assumption. I watched beginners complete focused training, enter the industry and continue developing their careers.
Among former students whose progress I have followed are individuals who later worked in major technology companies, banks and insurance organizations, including senior professional and management roles. Their longer-term achievements were not the result of a short course alone. They reflected continued learning, practical work, initiative, opportunity and persistence. These observations changed how I thought about what motivated beginners could accomplish.
“A short course sometimes opened the door. Continued learning and experience helped people build the career beyond it.”
This was not limited to IT
Similar opportunities arose in other fields. Office and accounting professionals learned spreadsheets, computerized bookkeeping and payroll applications. Designers and publishing workers adopted desktop-publishing software. Manufacturing technicians expanded their skills through AutoCAD, CNC programming and programmable logic controllers. Logistics staff learned inventory and warehouse systems. Healthcare administrative workers upgraded their skills in electronic records and practice-management applications.
These upgrades often helped people take on new responsibilities, especially when they already understood the underlying profession. In regulated occupations, however, software training did not replace required education, licensing or supervised practice. The lesson is that a new tool creates the most value when it connects to genuine workplace needs.
Why the same formula is less reliable today
1. The scarcity advantage has become harder to sustain
When a technology was new, relatively few people knew it. Today, a learner can find tutorials, low-cost courses and communities for almost any product. This wider access is a major benefit, but introductory knowledge may be less distinctive. The market rewards what is useful and scarce—not merely what is newly learned.
2. Employers often need a combination of skills
A cloud professional may need networking, Linux, security, scripting, automation and troubleshooting. A healthcare administrator may need billing, privacy, records management and communication. Knowing one application may no longer be enough to perform a whole job. At the same time, an experienced professional can use a short course to fill a precise gap and become more effective.
3. Employers want evidence that learning can be applied
A certificate may show that someone completed training or passed an assessment. It does not always demonstrate how the person responds to an unfamiliar problem, works with colleagues or handles real-world consequences. Practical assignments, projects, supervised work and credible demonstrations of competence can help bridge this gap. Some employers also ask for experience even in junior positions, making the first opportunity difficult to obtain.
4. The labour market and business investment matter
Even strong training cannot create a vacancy where an employer is not hiring. During slower economic periods, organizations may delay projects, reduce hiring or expect more from each new employee. Career outcomes depend on the state of the economy and local demand as well as individual effort. We should not blame the value of all short courses for conditions that are partly outside a learner’s control.
5. Technology is easier to try—but harder to deploy responsibly
Modern tools can be remarkably easy to access. Yet using them reliably in an organization may require integration with other systems, data protection, quality controls, business knowledge and sound judgment. Knowing how to operate a tool and being accountable for a production system are very different responsibilities.
6. The abundance of learning can create confusion
YouTube and free learning platforms have made knowledge accessible to millions. Some highly capable professionals are self-taught. The risk is not the platform: it is believing that watching a demonstration is equivalent to independently solving a workplace problem. Repeating a tutorial is a beginning, not necessarily proof of job readiness.
“Watching someone perform a skill is not the same as mastering it. Professional value comes from applying knowledge independently and responsibly.”
What About AI Certifications and Short Diploma Programs?
Artificial intelligence adds another dimension to career development. Unlike a specific operating-system administrator credential, “AI training” can mean anything from basic prompting to data science, model development, cloud AI services or enterprise automation. There are recognized vendor certifications, university certificates and career-focused diploma programs in AI-related fields, but no single universal certification demonstrates competence across all these roles.
Employers are increasingly interested in practical capabilities. Can a candidate use AI to improve workplace productivity? Automate routine tasks? Evaluate AI-generated results? Protect confidential information? Integrate AI tools into existing workflows? Measure whether these technologies deliver meaningful business benefits?
For many working professionals, developing these practical skills may be more relevant than pursuing advanced AI programming or machine learning qualifications.
For example, shorter, career-focused diploma programs such as Prompt Engineering & Generative AI for Office Professionals, offered by Canadian College for Higher Studies (CCHS), are designed to help individuals develop practical AI skills applicable to everyday office and business activities. Such programs may be particularly useful for administrators, accountants, business professionals, managers and others who want to incorporate AI into their existing roles or prepare for changing workplace expectations.
A formal educational credential can also build confidence on both sides of the employment relationship. For employers, a diploma from an appropriately registered institution can provide evidence that an applicant has completed a structured program of study and met its academic and assessment requirements. This may give employers greater confidence in the applicant’s foundational knowledge and preparation, particularly when the program includes practical projects, hands-on exercises and competency-based assessments.
For graduates, successfully completing a diploma can strengthen their confidence in applying newly acquired skills, discussing their capabilities during interviews and taking on unfamiliar workplace responsibilities. This combination of formal learning, practical experience and personal confidence can be valuable when pursuing employment, career advancement or professional development.
However, completing a shorter AI diploma should not be confused with acquiring the specialized knowledge required for advanced AI engineering, machine learning development or complex enterprise AI systems. A diploma provides evidence of structured learning and assessed achievement. At the same time, employers also look beyond formal qualifications to evaluate practical competence, relevant experience, problem-solving abilities and demonstrated results.
The real value of AI education lies not simply in obtaining another qualification, but in developing skills that can be applied effectively and responsibly in the workplace.
What should a short course achieve today?
The purpose of short training may be changing. It can strengthen an existing career, help someone adopt a new tool, prepare for a recognized assessment or provide a first step toward broader retraining. For an experienced accountant, a short course in analytics or AI-assisted reporting may deliver immediate value. For a beginner seeking a new occupation, the appropriate pathway may include foundational study, hands-on projects, supervised practice and more time.
Colleges and training providers have responsibilities too. Course titles, durations and marketing claims should match realistic outcomes. Training should emphasize practical exercises, troubleshooting, assessment and clear links to workplace tasks. Employers can help by offering entry-level opportunities, mentorship and feedback about the skills they actually need.
Five questions before investing in a skills upgrade
- What specific job, responsibility or business problem will this skill help me address?
- What knowledge or experience do I already have that this training can build upon?
- Can I demonstrate the skill through a practical project, assessment or supervised experience?
For example, a graduate of an AI diploma program could demonstrate a customer-service chatbot, an AI agent that automates routine office tasks or a document-processing solution. Such projects can help employers assess the graduate’s ability to apply knowledge, solve practical problems and evaluate results. - Do employers in my target market actually seek this capability—and what other qualifications do they expect?
- If the course does not lead immediately to a better job, what is my next learning or employment step?
A practical demonstration becomes especially meaningful when graduates can explain how they developed a solution, the challenges they encountered, how they tested it and the improvements they would make.
The more you learn, the more you earn—reconsidered
I still believe in the philosophy I shared with learners for years: “The more you learn, the more you earn.” It encouraged people to take responsibility for their futures, and I witnessed some remarkable career changes. But learning does not produce a guaranteed salary increase. Its value depends on relevance, timing, practical competence, previous experience and opportunity.
Perhaps the modern version is this: the more relevant skills you develop—and the better you apply them—the more valuable you can become. Short courses have not lost their place. We simply need to be more thoughtful about what they can realistically achieve.
“If you had six months to improve your career, would you spend that time collecting certificates—or developing skills that employers genuinely need?”
A perspective from Canadian College for Higher Studies
At Canadian College for Higher Studies (CCHS), our approach to career development is informed by decades of teaching, curriculum development and career counselling. Whether someone is considering a focused professional upgrade or a longer program, the starting point should be their existing abilities, interests, circumstances and realistic occupational goals—not simply the availability of a course.
CCHS offers a Free Career Guidance & Future Skills Assessment service to help people consider suitable directions, including options beyond CCHS when appropriate. The service is intended to support informed choices, not guarantee employment, earnings or admission.
About the Author
Donatus Doss is President and Founder of Canadian College for Higher Studies, established in 2009. He has provided career counselling since 1986 and has decades of experience in education and information technology, including UNIX/Linux, SAP, enterprise systems, technical training and curriculum development.