Resources
Why a Human Capital Laboratory? Why Career and Technical Education (CTE)? Because it is time to rethink and reimagine the dance of people, programs, and jobs in a more fluid AI data lake model where alignments are measured and opportunities serviced based on the likelihood of people for programs, and programs connected to jobs, tasks, or opportunities, and maybe employer bots that go looking for the best training likely to yield a well-suited employee or candidate for assignments.
Overview
Since 2014, NLET has worked on the education-to-employment issue in terms of supporting technology and cultural change that would a) enable individuals to have easy access to b) education and training that is c) directly aligned with the job market.
The Human Capital Lab is focused more on developing talent (in schools, recent graduates), on up-skilling or job-changing talent, those displaced by AI, or transitioning talent from the military, incarceration, or re-entering the workforce. This is different from people with existing resumes and resume density who are handled by the large job boards like ZipRecruiter, Indeed, and LinkedIn. The fact is the non-AI jobs where people are needed in the lower and mid-levels are going to be harder to fill and more competitive.
Labor market development and human capital development lag far behind other sectors of the economy because education/training and hiring are still relatively traditionally-based activities that have not been transformed into unified data systems that seamlessly navigate around the traditional artifacts and processes of resumes, course listings, and job postings. Jobs change so quickly in the labor market and in various sectors that the processes and jobs are opaque to potential employees and to training firms and institutions.
The analogy is thinking of three trains traveling on parallel tracks at different rates. One has people on it. The second train has courses, programs, certifications, and degrees. The third has employers and their open jobs. To get a person to jump into the right training for the aligned job is difficult. Likewise, for an employer to find the properly trained person is difficult. The process is complicated by the fact that the person usually has no standing except for a resume. Yet the people are what the institutions, training organizations, and employers want and need. They have no standing.
Much of this process is random and is getting more complicated because the jobs are difficult to know about and AI will be breaking apart traditional work and “jobs,” where people may be doing fractional work in a number of places. Many middle managers may being bots and the jobs that require a person, even at lower levels, will be harder to fill.
Program
Core Members
Each of these core members is committed to working new models that believe in the centrality of the individual to institutions and training bodies and to employers and believe in ways to co-manage.
