Florida’s corporate relocation wave is real, accelerating, and well documented by commercial real estate trackers. What gets less scrutiny is the AI gap it creates. The companies moving in (Anaplan, Playboy Enterprises, D-Wave Quantum, Wells Fargo’s wealth management division) mostly arrive from tech and finance hubs where structured AI use was already normal.
Florida’s home-grown small businesses, many of them family-owned across two or three generations, did not have that exposure. That contrast holds up under real data, but with more nuance than the headline suggests.
Is Florida’s company relocation wave actually real?
Yes, and it shows up in three independent datasets that measure it three different ways. CBRE’s 2026 headquarters relocation report counts 725 corporate HQ moves nationwide from 2018 through 2025, with 2025 alone seeing 164 relocation announcements against 96 the year before.
Miami placed second among U.S. metros for interstate and international HQ relocations in 2025, landing eight, behind only Dallas-Fort Worth’s eleven. CBRE also identified six companies that relocated operations into Miami from Los Angeles, the Bay Area, and Boston in the period the report covers.
Separately, the Florida Chamber Foundation’s analysis, released February 28, 2025, put Florida’s net new business relocations at 503 for the preceding year, more than four times Texas’s total, while California, Illinois, New Jersey, and New York all posted net losses. CBRE tracks headquarters specifically; the Chamber Foundation’s figure is a broader net relocation count: different methods, same direction.
The most useful check on the “exodus” framing that dominates press coverage comes from the Public Policy Institute of California, a nonpartisan research organization with no stake in either state’s narrative. Its June 2025 policy brief, “Are Company Headquarters Leaving California?”, found that California lost a net 789 headquarters between 2011 and 2021, or 1.9% of the state’s more than 47,000 headquarters over that decade. The annual pace did rise, from roughly 150 departures a year in 2011 to over 200 a year in 2021, and about half of the departing firms were in manufacturing, wholesale trade, or business services.
But the net figure grew partly because fewer companies were relocating into California (dropping from about 140 a year to under 70), not only because outflow accelerated. Texas, New York, Florida, Nevada, and Arizona were the most common destinations.
Put plainly: real trend, real acceleration, smaller in scale relative to California’s total business base than cable-news coverage implies. Both are true at once.
Why relocating companies often arrive with AI already built in
Look at who is moving. Anaplan, an enterprise planning software company, moved its global headquarters from San Francisco to Miami in January 2024. D-Wave Quantum relocated its headquarters and R&D operations from Palo Alto to Boca Raton.
Palantir, Trinity Investments, and GFL Environmental all made South Florida moves in January and February 2026. Wells Fargo relocated its entire Wealth & Investment Management headquarters to West Palm Beach the same month.
No dataset directly measures the AI maturity of these relocating headquarters against Florida’s existing small-business base. That specific comparison hasn’t been studied, and it would be dishonest to imply otherwise. What is defensible is the inference from company profile: these are enterprise software, quantum computing, data-infrastructure, and financial firms arriving from the Bay Area and New York.
Dedicated data teams, enterprise AI licenses, and formal AI governance have been standard for years in those markets. A company that builds planning software or runs a trading desk did not need convincing that AI belongs in its workflow. It usually had the budget for a structured rollout and a prior-market culture where using it was assumed, not debated.
That is a different starting line than the one most Florida small businesses run. It is not a statement about relocating companies being smarter or more capable: it is a statement about capital, sector, and prior-market exposure that predates the move to Florida.
What’s genuinely different about a home-grown Florida business’s starting point
Florida has about 3.49 million small businesses, the third-most of any state after California and Texas, according to the SBA Office of Advocacy’s 2025 profile. In the Miami-Fort Lauderdale-West Palm Beach metro alone, small businesses account for 53.6% of total employment. This is not a state short on small business: it is a state where the small-business economy predates the current relocation wave by decades, and much of it is family-owned.
Nationally, family-owned firms make up 80-90% of business enterprises and generate 64% of GDP and 62% of employment, according to the Conway Center for Family Business’s compiled data. They also last longer on average than non-family firms (24 years versus 8), but the same data shows only 30% survive to a second generation and 12% to a third, a succession problem rather than a technology problem, though the two compound each other. A 15-person HVAC company or a two-generation accounting firm in Ocala did not arrive from a tech hub with a data team already in place. It built its systems around whoever was available to run them, often over decades, and AI tools were never part of that build.
The most rigorous data on how small businesses actually adopt AI, not how many say they’ve tried it, comes from the JPMorganChase Institute’s “Understanding the Use of AI Among Small Businesses,” published April 14, 2026, drawn from transaction data across 4.6 million small businesses with Chase Business Banking accounts between 2019 and 2025. It found national adoption reached 17.7% by the end of 2025, up from 1.7% in 2019.
Adoption splits meaningfully by structure: employer firms (companies with staff beyond the owner) hit 26.1% adoption, while nonemployer firms sat at 15.3%. By industry, Information companies led at 39.3% and Professional Services followed at 30.3%, while Construction sat at 8.9% and Transportation/Warehousing at just 5.4%. Those last two sectors describe a large share of Florida’s home-grown, generational small-business base.
Does this mean Florida’s small businesses are behind on AI?
Not straightforwardly, and this is where the simple version of the story needs a correction. A widely cited “Florida AI Economic Impact Report,” released May 29, 2026, claims 58% of Florida small businesses are already using AI and that the state ranks 5th nationally in AI readiness. That report comes from Build American AI, a 501(c)(4) advocacy nonprofit whose stated purpose is promoting AI adoption policy, not an independent research institution, and its numbers are self-reported survey data rather than verified usage.
That gap between self-reported adoption (58%) and transaction-verified adoption (17.7% nationally, per JPMorganChase) is not unique to Florida. Survey-based “have you tried AI” questions produce far higher numbers everywhere than actual, sustained-usage data, because trying ChatGPT once for a single email counts as “using AI” in a survey and does not register in banking-transaction data tracking recurring software spend. The honest read is not that Florida’s small businesses are uniquely behind: the loudest number in circulation comes from an advocacy source with an interest in a high answer, while the rigorous national baseline sits well under half of that figure. Florida’s home-grown firms are not laggards by national standards; they track a national average that has plenty of room to grow, while a newly arrived headquarters, backed by a structured rollout from its prior market, starts well ahead of that average by design.
How a home-grown Florida business competes anyway
The relocating companies changing Florida’s business landscape are not the ones a 20-person family firm competes against for customers most of the time. But they are reshaping client and employee expectations in every metro where they land, and a home-grown firm that treats AI fluency as optional risks looking dated to clients who now work with, or compete against, companies that never had to catch up. Three things close the gap without requiring an enterprise budget or a data team.
Start with the team, not a vendor evaluation. The 5-50 person Florida firms with the fastest, most durable AI adoption are the ones that train their existing staff on the documents and workflows they already touch daily, rather than bolting on a new tool nobody uses past the first week. This mirrors what the JPMorganChase data shows nationally: consistent, sustained usage, not one-off experimentation, moves the adoption numbers that matter.
Use the funding built for exactly this gap. Florida’s Incumbent Worker Training grant, administered through the state’s 21 regional CareerSource boards, reimburses up to 50% of direct training costs for most eligible employers, rising to 75% for firms with 25 or fewer employees or those in a rural, distressed, brownfield, or HUBZone area. Training like this is reimbursable through that program; full mechanics, eligibility, and the application path are covered in the state’s corporate AI training playbook. Market rates for a hands-on workshop built around a team’s own documents run $2,000 to $15,000 depending on group size and session count, before any CareerSource reimbursement lowers the net cost.
Recognize that Miami is the sharpest version of this dynamic. With the highest concentration of newly relocated headquarters in the state, Miami is where the AI-readiness gap between newly arrived enterprises and home-grown firms shows up first and most visibly, which is also where Florida’s corporate AI training options are covered in the most local detail. A firm elsewhere in the state is watching a preview of what’s coming to its own market.
None of this requires matching a relocated enterprise’s budget: it requires treating the gap as real and using the funding built to close it before a client or competitor forces the issue.
Frequently asked questions
Is Florida really seeing a wave of company relocations, or is that overstated?
Both, in different ways. It is real and accelerating: CBRE tracked 725 headquarters relocations nationally from 2018-2025, with 2025 alone seeing a 71% jump in relocation announcements, and Miami placing second nationally for HQ relocations that year. But the Public Policy Institute of California’s June 2025 research found California’s net headquarters loss was only 1.9% of its total headquarters base over a decade, real but smaller in scale than press coverage often implies.
Which companies have actually moved from California or the Northeast to Florida recently?
Verified, named examples include Anaplan (San Francisco to Miami, January 2024), Playboy Enterprises (Los Angeles to Miami Beach, August 2025), D-Wave Quantum (Palo Alto to Boca Raton), and Wells Fargo’s Wealth & Investment Management headquarters (to West Palm Beach, January 2026), alongside Palantir, Trinity Investments, and GFL Environmental, which all made South Florida moves in early 2026.
Why would a company that just relocated already have AI built into how it works?
Largely because of where it came from, not anything specific to relocating itself. Firms like Anaplan (enterprise software), D-Wave (quantum computing), and Wells Fargo’s wealth division (finance) came from the Bay Area and New York, where structured AI tooling and enterprise budgets were already standard. That’s a reasonable inference from company profile, not a metric anyone tracks directly: no dataset measures “AI maturity of relocated headquarters” on its own.
Is it true that Florida’s small businesses are behind on AI compared to the rest of the country?
Not by the most reliable measure. A widely cited claim that 58% of Florida small businesses already use AI comes from Build American AI, an advocacy nonprofit, and relies on self-reported survey data. The JPMorganChase Institute’s April 2026 study, based on verified transaction data across 4.6 million small businesses, put national adoption at 17.7% by the end of 2025. Florida’s home-grown firms appear roughly in line with that more rigorous national baseline, not uniquely behind it.
Why are so many of Florida’s small businesses family-owned, and does that matter for AI adoption?
Family-owned firms make up 80-90% of business enterprises in North America and generate 64% of U.S. GDP, per the Conway Center for Family Business. They also last longer on average than non-family firms, but fewer than a third survive to a second generation, usually because of succession-planning gaps rather than technology failures. A firm that has spent decades building processes around a stable staff, rather than arriving fresh from a tech hub, simply hasn’t had the same occasion to adopt AI tooling as part of routine operations.
How can a home-grown Florida business close the AI gap without a big budget?
Train the team you already have on the documents and workflows they already touch, rather than evaluating new software first. Florida’s Incumbent Worker Training grant, run through the state’s 21 regional CareerSource boards, reimburses 50-75% of direct training costs depending on employer size and location, and training like this is reimbursable through that program. Market rates for a hands-on workshop run $2,000 to $15,000 before any reimbursement is applied.
For the full funding mechanics, delivery details, and compliance picture for Florida, see the state’s AI training playbook, or the Miami-specific breakdown if your business sits closest to where the relocation wave is landing hardest. Or book a free AI-readiness call to see where your team stands and what CareerSource funding could cover.
Arthur Wandzel
