For years, “ed tech” was an umbrella term grouping schools, online platforms, courses, credentials, and software under one idea: technology applied to education. That shorthand made it easier for investors, policymakers, and institutions to talk about innovation without rethinking how learning fits into the economy. Today, it no longer explains what’s happening.

That’s the central insight of “The European Learning & Work Funding Report” by Brighteye Ventures, a research and advisory firm tracking investment at the intersection of learning, work, and productivity. The report’s seventh edition shows that learning is no longer funded primarily as education. It is increasingly funded as part of how work gets done.

Across Europe, and increasingly the U.S., capital is flowing not toward courses or credentials but toward systems that are closer to production, including hiring platforms, staffing firms, clinical decision tools, payroll systems, and compliance software. These are not educational products, though learning is embedded throughout them.

In these systems, learning is not the point. Outcomes are.

This shift arrives as the traditional pathway from school to work is fraying. The first rung of the opportunity ladder—entry-level jobs that once provided experience, mentoring, and a way up—is eroding. Young people are told to “get experience,” but the places that once supplied it are disappearing.

Brighteye’s report helps explain why. Learning hasn’t vanished but moved from classrooms into the operating system of work itself.

“Ed Tech” No Longer Fits

Traditional education assumes a simple sequence: first learn, then work. Learning is delivered by institutions, validated by credentials, and completed before employment begins.

But investment patterns Brighteye documents tell another story. The largest deals are no longer in courseware or digital classrooms. They are in regulated, high-stakes, everyday work systems like healthcare tools, hiring platforms, and workflow software.

These companies rarely call themselves education providers. Yet learning is built into their products as prompts, guidance, checklists, simulations, and feedback inside real tasks. Learning happens while working, not before.

This is why ed tech as a category is breaking down. What emerges looks far less like schooling and far more like infrastructure, which Brighteye organizes into three patterns: 

  • Learning embedded in work. Knowledge and guidance are built directly into daily workflows. Professionals learn at the moment of need.
  • Learning as people infrastructure. Hiring platforms, staffing systems, and talent marketplaces shape who gets access to opportunity and how workers move through careers.
  • Learning as an outcome engine. Learning is judged by performance, including productivity, compliance, and reliability, not seat time or credentials.

These shifts explain why ed tech hasn’t evolved. It’s been replaced. Learning has moved into the systems that determine how work actually happens.

A Systems Problem, Not a Program Problem

Employers are reaching the same conclusion. A recent article in the Harvard Business Review argues that policies alone—training stipends, retention bonuses, or one-off programs—are not enough to build or retain talent. What matters are systems: how hiring, onboarding, supervision, learning, and advancement fit together. The authors point to Singapore as an exemplar of this approach, concluding that the top-performing companies “are those that have coherent, integrated systems” in which “advancement reinforces rather than contradicts retention.”

The question is no longer how to improve education technology, but how we can build an education-and-work infrastructure where an employee’s experience must be designed deliberately. If learning now functions like infrastructure, improvement requires system design, not just new apps or short-term programs.

Here are seven design principles for a modern learning-and-work infrastructure:

1) Build hybrid institutions that erase boundaries. Stop forcing learners to navigate disconnected systems. Create partnerships that blend K-12 schools, community colleges, training providers, and employers into one integrated system, so students move through one coherent system, not four separate bureaucracies.

2) Make work-based learning the default. Paid, structured work experience—apprenticeships, co-ops, clinicals, employer-run bootcamps—should sit at the center of preparation, not the margins. Early learning should happen primarily in workplaces with progressive responsibility and pay.

3) Redesign entry-level jobs to teach as well as produce. Beginner roles should explicitly include mentoring, feedback, and skill-building projects. Employers should treat jobs as talent pipelines, not disposable labor. Apprenticeship and apprenticeship-degree models offer a template.

4) Use performance-based hiring instead of résumé proxies. Replace credentials and pedigree with work samples, simulations, and supervised trial projects. Ask candidates to demonstrate what they can do. This widens opportunity and connects learning to capability.

5) Create faster bridges through skill adjacencies. Most workers aren’t starting from zero. Map their existing skills to new roles, using short, targeted modules to close gaps in weeks or months, not years. This compresses time-to-competence and lowers costs for learners and employers.

6) Make credentials portable, verifiable, and skills-first. Credentials should be modular, machine-readable, and backed by proof, including work artifacts, supervisor evaluations, and demonstrated competencies. Workers should have a skills transcript that travels across employers and platforms.

7) Invest in systems, supports, and accountability, not just programs. Fund what works at scale. Measure success by job placement, wage gains, and advancement. Provide post-placement coaching and mobility supports. Align safety nets and benefits with rapid upskilling. And connect the systems that already exist, rather than layering new initiatives on top.

Declaring the end of ed tech is not a provocation. It describes reality. Learning has not disappeared but has moved into hiring systems, workflow tools, and everyday work structures. It’s part of how the economy operates. Recognizing this shows the path forward for ed tech, which The Economist recently called “mostly useless.”

These are not program tweaks. They are infrastructure decisions. They determine whether learning is episodic or continuous, whether opportunity is accidental or designed. The challenge now is governance. Who can access these systems? Who benefits? Who is left out?

If learning has become workforce infrastructure, then building and governing that infrastructure is one of the most important opportunity challenges of the next decade.

Bruno V. Manno is a senior advisor at the Progressive Policy Institute and leads its Pathways to Opportunity What Works Lab. He is a former U.S. Assistant Secretary of Education for Policy.