June 23, 2026

1. Introduction: Without Data, We Are Guessing — And Guessing Is Costing Us the Future

Without data, we are guessing. Guessing costs jobs, closes doors, and leaves talent stranded.

I have spent years working at the intersection of labour market intelligence, workforce development, public policy, and statistical systems. Through my work at Dunn Pierre Barnett and Company Canada Ltd (DPB Global), I have seen the same pattern repeat across Africa, the Caribbean, the United Kingdom, the United States, and Canada: leaders are making workforce decisions with partial information, outdated surveys, weak forecasting tools, or no integrated Labour Market Information System (LMIS) at all.

That is not a technical inconvenience. It is a development failure.

At DPB Global, we conduct surveys in more than 40 countries. We maintain one of the largest databases on Black populations in the Global South. We specialize in building LMIS frameworks and producing the kinds of labour market instruments that governments and institutions actually need: Labour Force Surveys, Job Openings and Labour Turnover Surveys (JOLTS), National Skills Audits, labour market needs assessments, census support, and statistical analysis that connects data to decisions. I am not writing about this crisis from a distance. I have been in these rooms. I know what happens when ministries, employers, educators, and communities are forced to guess.

The throughline across all five regions is simple: informed decisions create opportunity; guessing wastes potential. If you do not know where the jobs are, what skills are rising, who is being excluded, what employers cannot find, or where migration is draining your workforce, then you are not planning. You are gambling.

2. Africa: Talent Is Everywhere — But Opportunity Is Still Being Lost to Weak Data Systems

Africa’s labour market crisis is not about a lack of talent. It is about a lack of systems.

Every year, roughly 15 million young people enter Africa’s labour force, yet only about 3 million formal jobs are created annually. That gap is not abstract. It means millions of young people are being told to prepare for a future that the labour market has not mapped, measured, or organized. When countries do not know what sectors are growing, what occupations are emerging, where employers are hiring, or how training aligns with demand, young people are left to improvise. And improvisation at scale becomes instability.

I have seen these data gaps across African labour systems. At DPB Global, we conduct surveys across Africa and work with the realities on the ground: fragmented labour statistics, outdated occupational data, inconsistent administrative systems, and weak integration between education planning and workforce demand. This is exactly why LMIS matters. A proper system does not just count unemployment. It connects skills supply, vacancies, migration, wages, regional disparities, and training outcomes into one decision-making structure.

The #Japa Syndrome Is Not Just Migration — It Is a Data Failure

The #Japa syndrome has become one of the clearest symbols of what happens when countries train people but fail to connect them to visible local opportunity. Africa is producing capable young workers, entrepreneurs, technicians, and professionals, yet too many of them see more clarity abroad than at home. Why? Because the local labour market is often undocumented, under-signaled, and poorly communicated.

That is why the so-called “skills vs. location” debate matters. Talent is everywhere. What is missing is labour market infrastructure that tells people where opportunity is, what sectors are expanding, which skills are bankable, and where governments should invest next. Without that intelligence, migration becomes the rational choice.

The challenge is even sharper when only 9% of African youth have completed tertiary education, according to Mastercard Foundation reporting. That means countries cannot afford to waste the limited advanced training they do have. If your best-trained workers cannot see a pathway at home, your national development model is leaking talent.

Malawi Shows the Path Forward — Build the System, Then Build the Economy

This is why Malawi’s effort to build an LMIS using SDMX standards matters far beyond one country. It signals seriousness about labour market governance. Standardized, interoperable, current data systems allow ministries, statistical offices, training institutions, and employers to work from the same facts.

At DPB Global, this is where our expertise becomes practical. We help build systems that connect skills to real opportunities. We understand Labour Force Surveys, National Skills Audits, JOLTS-type vacancy measurement, and labour market diagnostics because we do this work. If you are an African policymaker, training institution, employer, or development partner, the message is direct: without a functioning labour market data system, you are training in the dark and planning by instinct.

Can your country afford to keep guessing?

3. The Caribbean: The “Paper Paradox” — Educated Populations, Rising NEETs, and 2026 Decisions Built on 2011 Numbers

The Caribbean is living through what I call the “Paper Paradox.” On paper, many countries in the region have some of the highest educational attainment rates in the developing world. On paper, there are qualified young people, trained workers, and ambitious entrepreneurs. On paper, the region should be converting education into productivity and growth.

But paper is not the labour market.

In reality, NEET populations are rising, productivity has declined by an average of -0.6% annually since 2015 according to the ILO, and employers across the region continue to report gaps between what workers bring and what the economy actually needs. Dr. Delisle Worrell has rightly described this as a “big skills mismatch.” I agree. But I would go further: this is not just a mismatch. It is a system failure driven by weak labour market intelligence.

I have already been leading this conversation publicly in my Medium series on youth unemployment and outdated data in the Caribbean because I know how dangerous this gap has become. Through DPB Global’s work in the region, we know many ministries are still making 2026 policy decisions using census baselines from 2011 or similarly outdated labour data. That should concern every reader in the Caribbean, because old data does not just create bad reports. It creates bad budgets, bad training priorities, bad migration responses, and bad economic bets.

When Data Is Old, Young People Pay the Price

If your country does not know which sectors are shrinking, which occupations are emerging, which parishes or communities are being left behind, or which trained graduates cannot find work, then your youth policy is operating on hope. That is why NEETs keep rising even where educational participation looks relatively strong. The formal credentials are there, but the intelligence system connecting credentials to demand is weak or missing.

At DPB Global, we understand this problem from the inside. We do labour market assessments, statistical analysis, workforce development planning, and data system design. We know the difference between general discussion and real infrastructure. Labour Force Surveys, employer demand studies, vacancy tracking, migration analysis, and National Skills Audits are not optional extras for the Caribbean. They are the basic tools of survival for small island economies already losing talent to migration.

Brain Drain Is Emptying Economies That Cannot Measure What They Are Losing

The region’s brain drain is not slowing because the push factors are still poorly measured and poorly addressed. If nurses, teachers, tradespeople, digital workers, and graduates are leaving, governments need more than anecdote. They need real-time labour market evidence showing who is leaving, why they are leaving, what sectors are destabilizing, and what retention strategies are most likely to work.

This is where DPB Global is built to contribute. We have been in the Caribbean doing the work. We know the data gaps. We know that outdated census information cannot carry a modern workforce strategy. And we know that an LMIS is what turns scattered statistics into practical decisions for ministries, employers, colleges, and communities.

If you are reading this from the Caribbean, ask yourself one hard question: can your country afford to keep making 2026 decisions on 15-year-old numbers?

4. United Kingdom: The Data Tap Was Turned Off — And a Major Economy Is Now Running Blind

The United Kingdom offers one of the clearest warnings in the world: even advanced economies can weaken their labour market decision-making when they treat data as optional infrastructure.

When the LMI for All API was shut down, the UK effectively turned off a major labour market data tap. That matters. Career advisors, educators, workforce planners, and policy institutions rely on accessible labour market intelligence to translate broad trends into practical decisions. When that pipeline disappears without a viable replacement, the country loses visibility.

That loss of visibility is happening at the worst possible time. Skills England has projected that the UK will need 1.8 million additional workers by 2035. At the same time, there are 1.25 million NEETs between ages 16 and 24, employer training spend is down 36% since 2005, and AI literacy is now reported as the number one hardest skill to find. That is not a normal labour market adjustment. That is a warning that the talent pipeline and the information system guiding it are falling out of sync.

This Is What It Looks Like When Governments Underinvest in Labour Intelligence

Imagine a country the size of the UK running blind. That is what happens when governments fail to treat labour market data as essential infrastructure. If employers cannot find skills, if young people cannot see pathways, if training systems are not aligned to demand, and if advisers do not have reliable public tools, then national competitiveness starts eroding from the inside.

At DPB Global, we understand this because we build the systems that connect demand, supply, vacancies, skills gaps, and workforce planning. LMIS is not a decorative dashboard. It is the mechanism that allows a country to respond intelligently to change. Labour Force Surveys, skills audits, employer demand analysis, and vacancy tracking are not abstract technical exercises. They are what help a government know where to train, where to invest, and where talent is being stranded.

For a UK reader, the issue is immediate: if the country already knows it needs 1.8 million more workers, how can it afford weaker labour market infrastructure at the precise moment stronger intelligence is required?

Can the UK afford to keep guessing?

5. USA: One-Size-Fits-All Data Is Failing Black Workers — And the System Is Finally Being Forced to Admit It

In the United States, the labour market story looks manageable if you only read headline numbers. That is the problem.

When you disaggregate the data, the gaps become impossible to ignore. Black unemployment stood at 6.6% in May 2026, but Black youth unemployment was 14.1%. Black men have lost approximately 650,000 jobs since November 2025. Around 30% of unemployed Black workers have been jobless for 27 weeks or more. These are not side notes. They are evidence that the national labour market is not working evenly, and that broad averages are hiding structural exclusion.

I have long argued that one-size-fits-all labour market systems do not work for diverse populations. At DPB Global, we specialize in data on BIPOC communities that traditional systems often miss, flatten, or misread. We maintain one of the largest databases on Black populations in the Global South, and our expertise is built around understanding how race, migration, geography, education, and labour demand intersect. The United States is now confronting what we have known for years: when the data architecture is too blunt, the policy response will be too blunt as well.

The Labour Market Is Changing Faster Than the Measurement System

Another warning sign is that 65.5% of Black workers reportedly use AI tools daily, yet many labour systems still do not properly track how technology adoption is changing work, productivity, employability, and skill demand for different communities. That is a major blind spot. If workers are adapting faster than the data system, then policy will lag behind reality.

The federal government’s O*NET modernization RFI is an important admission. It signals that existing occupational intelligence systems are outdated and need to be rebuilt for a changing economy. That is the right conversation. But modernization must include equity, granularity, and better labour market intelligence on populations that aggregate systems routinely overlook.

At DPB Global, this is exactly the kind of work we are designed to support: stronger data frameworks, deeper labour market analysis, population-specific intelligence, and systems that move beyond national averages to real decision-useful evidence. If you are a policymaker, employer, training provider, or community leader in the US, the question is not whether you have data. The question is whether you have the right data to see who is being left behind and why.

Can the United States afford to keep guessing?

6. Canada: Investment Without Intelligence Is Just Spending — And Canada’s Blind Spots Are Getting More Expensive

Canada is investing significant public money into workforce development. But investment without intelligence is just spending.

That is the reality behind the headlines. Canada may have a $94.5 million Sectoral Workforce Solutions Program and major transition funding in place, but money alone cannot solve a labour market that is still failing to see critical disparities clearly enough. The Bank of Canada has warned about structural cracks. Youth unemployment has reached 14.3%. By 2033, Canada is expected to face 8.1 million job openings, with 68% driven by retirements. That should be focusing every policymaker’s mind.

Now add the sharper truth: according to the TMU State of Black Economics 2026, Black unemployment in Canada is 11.1% versus 5.5% overall, and Black youth unemployment has reached 20%. Those numbers tell us that Canada does not have one labour market. It has multiple labour market realities, and some communities are carrying far more risk than the national story admits.

Canada Is Spending Big — But It Still Does Not Know Enough About Its Own Blind Spots

This is where my work and DPB Global’s expertise are directly relevant. We built the first-ever Labour Market Needs Assessment for Black Businesses in Canada. We did that because Canada’s traditional systems were not asking enough precise questions about Black employers, Black workers, and Black business ecosystems. If you do not ask the right questions, you will not get the right answers. And if you do not get the right answers, your workforce investment strategy will miss the very people and sectors it claims to support.

At DPB Global, we bring the capability to design Labour Force Surveys, JOLTS-style instruments, National Skills Audits, labour market needs assessments, and AI-supported analytics that help governments and institutions move from broad spending to targeted action. Canada does not just need more programs. It needs better labour market intelligence that can identify local shortages, population-level disparities, employer demand, training inefficiencies, and future workforce pressure points before they become crises.

For the Canadian reader, the implication is clear: if millions of job openings are coming and Black youth unemployment is already at 20%, can Canada really afford to keep guessing where talent is, what barriers exist, and what interventions actually work?

Can Canada afford to keep guessing?

7. Conclusion: The Statistical Mirage Must End — Data Is Infrastructure, Not a Luxury

The headline numbers are not enough. That is the statistical mirage. A country can report growth and still waste talent. A region can boast educational progress and still lose its youth. A government can spend millions and still make poor workforce decisions. If the data is weak, outdated, fragmented, or too shallow to capture who is being excluded, then the policy built on that data will fail.

I want to be direct with you: labour market data is not a luxury. It is infrastructure.

At DPB Global, we build the systems that turn data into decisions. We conduct surveys in over 40 countries. We specialize in LMIS development, Labour Force Surveys, JOLTS surveys, National Skills Audits, labour market assessments, and statistical analysis that helps governments, businesses, and community organizations stop guessing and start planning with evidence. We also bring a specialized strength that many institutions still lack: deep expertise on Black, Indigenous, and People of Color (BIPOC) populations, diaspora communities, and the labour market realities that standard systems too often miss.

Whether you are a government, business, or community organization, the message is simple: if you do not have real-time labour market data, you are making decisions in the dark. DPB Global is ready to help build the intelligence infrastructure that your workforce future depends on.

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About the Author

Dr. C. Justine Pierre, Managing Director and Labour Market and Political Statistician, Dunn Pierre Barnett and Company Canada Ltd (DPB Global), specializing in labour market trends, data-driven policy, and economic justice for BIPOC communities globally.

About DPB Global

Dunn Pierre Barnett and Company Canada Ltd (DPB Global) is a premier full-service consulting firm specializing in labour market information systems (LMIS), workforce development, and statistical analysis. We maintain one of the world’s largest databases on Black populations in the Global South, providing expert insights and AI-driven analytics to support diverse communities, governments, and organizations across Canada, Africa, and the Americas. Visit us at dpbglobal1.com.