All In For Jobs Wants $1 Billion for Workers Facing AI. There Is No Application Yet, and Partner Communities Are Picked, Not Applied For.
October 27, 2026 · 7 min read
Granted Research Team · Editorial policy
There is a sentence in Derek Kilmer's launch statement that workforce nonprofits should read twice: "We don't have all the answers yet, but we're inviting people to the table to help find them."
Kilmer is Senior Vice President for U.S. Program and Policy at The Rockefeller Foundation. On October 26, 2026, Rockefeller and more than 20 other funders launched All In For Jobs, a five-year effort to mobilize $1 billion to connect Americans to good jobs and keep them employed as AI and automation change the labor market. Launch partners have already committed more than $800 million. The headline target is 500,000 Americans connected to good jobs across up to 250 communities.
That is a lot of money. It is also not an open call. No application portal, deadline, or award size has been published, and the communities the coalition will work in are going to be chosen. Nobody can apply to be one. If you run a workforce program, a community college, a childcare network or a transit nonprofit, the next few months are about getting into the conversation before the community list is set.
What was actually announced
| Item | What the launch materials say |
|---|---|
| Initiative | All In For Jobs (allinforjobs.org) |
| Launched | October 26, 2026 |
| Target | $1 billion mobilized over five years |
| Committed at launch | More than $800 million, no per-funder breakdown |
| Reach | Up to 250 communities; 500,000 Americans connected to good jobs |
| Community selection | "In the months ahead," working with local leaders |
| Partner convenings | Begin January 2027, then meet regularly to "identify, test, and scale solutions" |
| Application process | None published |
The named supporting organizations are AARP Foundation, the Community Foundation of Greater Flint, Google.org, the James S. McDonnell Foundation, the Ewing Marion Kauffman Foundation, the McKnight Foundation, NextLadder Ventures, The Rockefeller Foundation, Stand Together, Strada Education Foundation, and StriveTogether. The announcement says 14 more organizations are involved but does not name them.
The coalition is politically broad. Stand Together, the Koch-founded network, sits next to the McKnight Foundation and Google.org. That tells you how the work will probably be framed: around employment, mobility and removing barriers to work, not around regulating AI or protecting incumbent jobs. Proposals that read like advocacy against automation will be a hard sell to this group.
The thesis: the jobs already exist and people cannot get to them
The most useful line in the release is the diagnosis. In Kilmer's words: "In communities across the nation, there are too many people who need jobs, and too many jobs that need people."
The release names three barriers that keep people out of jobs that are already open:
- Childcare that workers cannot afford or that local providers cannot supply.
- Transportation that does not reach where the jobs are.
- Training that does not match what employers are hiring for.
This is a narrower bet than it first looks. All In For Jobs is not mainly about creating jobs or running AI literacy classes. It is about matching people to openings that already exist. Training appears as one barrier out of three, and the wording is "training that doesn't match employers' hiring needs," which criticizes misaligned training rather than calling for more of it. The release says the coalition will bring together "leaders from fields such as workforce development and early childhood education." That pairing is deliberate.
McKnight Foundation president Tonya Allen framed the stakes this way: "technology alone should not decide who benefits, who is left behind, or what happens to a community." AARP Foundation president Claire Casey said: "We have an opportunity to make this transition different." With AARP Foundation at the table, older workers displaced mid-career are likely an explicit population of interest.
How this connects to Rockefeller's $100M Good Jobs for America
All In For Jobs did not come out of nowhere. In April 2026, Rockefeller announced Good Jobs for America, a three-year, $100 million strategy with a stated end goal of 1.6 million additional good jobs across roughly 250 distressed communities. As we reported at the time, the operating detail was that Rockefeller planned to start with 20 to 30 communities, chosen by economic conditions and employer demand rather than by open application, and scale toward 250 later.
The "up to 250 communities" in the October 26 launch matches that terminal figure. The most reasonable reading is that All In For Jobs is the multi-funder vehicle Rockefeller needed to reach 250 communities, which $100 million alone could not do. Two consequences follow:
- Rockefeller's selection logic will probably carry over. In the Good Jobs for America framing, Kilmer called "job attachment" the program's North Star, meaning getting people into work and keeping them attached through disruption. He said Rockefeller prefers models that scale through employers, state systems, financing tools or policy, rather than ones that need a new grant every year.
- Communities already engaged with Rockefeller probably have a head start. Nobody has said this publicly. But a coalition that starts meeting in January 2027 will lean on relationships it already has. The Community Foundation of Greater Flint being a named partner suggests at least one place-based funder is in from the beginning.
The coalition structure also matters. When 20-plus funders pool around a shared frame, the money usually doesn't flow through one front door. Expect each partner to fund through its own channels, with Google.org through its grantmaking, Strada through postsecondary and employment work, AARP Foundation through older-worker programs, and McKnight mostly in Minnesota, all tagged to the shared initiative. "$800 million committed" is the sum of those separate commitments, not one fund with one RFP.
What "picked, not applied for" means for your organization
Since no application exists, getting positioned now comes down to three things a coalition scouting 250 places will look for.
1. Evidence of the job-attachment gap, in your region's numbers. The coalition's thesis is that open jobs and available workers aren't connecting. Communities that can show both sides of that gap will be easier to choose. Pull current job-opening data for your labor market, the number of unemployed or underemployed residents, and the specific barrier blocking the connection, such as childcare slots per hundred working parents, transit access to employment centers, or credential mismatches in local postings. A one-page brief with those figures will help you more than a polished program description.
2. A cross-sector table that already exists. The release says the coalition will work "with local leaders" and bring together workforce development and early childhood education. A community where the workforce board, a childcare intermediary, the community college, a transit authority and major employers already meet regularly is close to ready to plug in. If your region has no such table, building one now is the strongest positioning step available, and it's worth doing whatever happens with this initiative.
3. A relationship with at least one named partner. With no portal, partner program officers are the way in. Look at which named funders already invest in your region or population. Strada funds postsecondary-to-employment pathways. StriveTogether runs a cradle-to-career network across dozens of communities. Kauffman works heavily in entrepreneurship and the Kansas City region. AARP Foundation focuses on older adults with low incomes. A StriveTogether network member, for example, is already one step from the coalition.
The website invites "leaders in philanthropy, business, and nonprofits who want to join the coalition" to get involved. That is the only formal channel published so far. Use it, and keep expectations realistic: it is a coalition sign-up, not a grant application.
The questions the launch left open
Grant-seekers should keep these in mind:
- Selection criteria. The release says communities with residents who lost jobs "over recent decades" or face new losses from AI and automation. That covers most of the country. There are no published metrics, regional quotas or rural/urban split yet.
- Award sizes and timing. No grant amounts are published. Spread $1 billion over five years and 250 communities and you get roughly $4 million per community, or $800,000 a year. That's an average, not a promise, and the real distribution will be uneven.
- New money versus relabeled money. "Mobilize $1 billion" and "$800 million committed" don't say how much is new grantmaking and how much is existing partner spending now counted under a shared banner. That affects whether this grows the pool for workforce nonprofits or reorganizes it.
- The 500,000 metric. The target appears in the headline but the body of the release doesn't define "connected to good jobs." How placement and retention are measured will decide which program models win.
The calendar to work against
- Now through December 2026: Assemble your regional data brief, map your cross-sector table, and identify which named partners already fund your geography.
- "In the months ahead": Community selection. Watch allinforjobs.org and partner newsrooms. Rockefeller's other recent launches, such as Cities Deliver, went from announcement to deadline in about six weeks, so once a process appears it may move fast.
- January 2027: Partner convenings begin. After that, priorities will firm up and the first funding will likely flow to communities already selected.
All In For Jobs is the largest philanthropic commitment so far aimed specifically at AI-era job displacement in the U.S., and it's built to reward places that are ready. If your organization is building the data brief and partner pitch now, Granted can help turn regional labor-market evidence into a tight, funder-ready case.