Experienced workers face disruption
A mid-career professional cannot simply erase fifteen years of work and start over. Their judgment, relationships, and knowledge still matter. The missing piece is a credible bridge into the work that is growing.
A workforce-transition project
Keep experience working as AI changes the work.
SkillSiftr is being designed to help mid-career U.S. professionals move from roles disrupted by generative AI into the implementation, governance, operating, and transformation work that the AI economy needs.
The transition being researched
Experience worth keeping
Business judgment, customer knowledge, operating skill, and years of context
SkillSiftr
Find the fit, close the skill gap, make the move, support the new role
AI-economy work
Implementation, governance, AI-assisted operations, and technology transformation
The problem
The people losing familiar work may be the people companies need next.
AI is changing sales, marketing, customer success, operations, and other knowledge work. At the same time, companies need people who can apply AI inside a real organization. Those are two sides of the same transition.
Employers face an experience gap
Knowing an AI tool is not the same as changing a business with it. Companies also need people who understand customers, risk, workflows, and how change succeeds or fails inside an organization.
The proposed model
Training is only one part of a successful move.
SkillSiftr is being researched as one connected transition, from understanding where a person can contribute to helping the new role work in practice.
Find the right destination
Start with the person's existing experience and identify a specific role where that experience becomes more valuable with AI.
Learn what that role requires
Close the real skill gap for that destination instead of sending everyone through the same broad course.
Move into the role
Work with employers so learning connects to actual work and a qualifying position, not only a certificate.
Make the transition last
Support the worker and employer through the early months, when a promising move must become sustained performance.
What exists today
This is active research, not a finished program.
I am speaking with companies about how AI is changing their work and what they need from people who will help implement and manage that change.
I am using those conversations to map destination roles, understand the missing capabilities, and design an end-to-end transition model. SkillSiftr is intended to launch in the future, with Austin, Texas as its planned base. It is not yet accepting workers or employers, and it has no completed placements or published outcome claims.
Why it matters
A good transition keeps more than a job.
It keeps experienced people contributing, helps companies adopt AI with better judgment, and gives the United States a deeper pool of people who can turn new technology into useful work.
For people
Preserve income, identity, and hard-won experience while moving toward work with a future.
For companies
Develop operators who understand both the business and what responsible AI adoption requires.
For the United States
Turn workforce disruption into domestic capability for implementing, governing, and operating AI-enabled systems.
Why I am working on this
I have spent my career helping people and companies cross technology changes.
I founded and built FunnelBud, helped teams change how they sold and served customers, trained people into larger roles, and worked directly with AI inside B2B workflows. SkillSiftr brings those threads together around a larger workforce problem.