The Walk Between Meetings
Note: All names used in Chiron are fictitious.
The conference hallway had that familiar sound. Rolling cases. Coffee cups clinking. Quiet conversations about insurance authorizations and session notes that ran longer than expected. Jordan, a BCBA, stepped outside the building into the cool morning air. A few minutes remained before the next meeting. Morgan, also a BCBA, caught up beside them.
“Needed a break?” Morgan asked.
Jordan nodded. “My brain’s full. Reimbursement rules, documentation updates, AI tools, staffing shortages… it feels like the entire infrastructure of clinical work is changing at the same time.”
Morgan laughed. “That’s because it is.”
They started walking down the path beside the conference center.
“Have you seen what Illinois just passed?” Morgan asked.
Jordan nodded slowly.
“You mean the licensing rule?”
Morgan pulled out their phone. “Yeah. Starting in 2027, ABA agencies in Illinois basically have to be owned by licensed behavior analysts. Anyone else currently owning a clinic has to divest.” (Learn More)
Jordan whistled quietly.
“That’s a big structural shift.”
It was the kind of moment where the future of the profession becomes visible for a second, like a skyline emerging through fog.
The Structural Rewiring of ABA Practice
Regulation Is Reshaping Who Owns Clinical Work
Across the United States, applied behavior analysis is undergoing a quiet but profound structural shift.
Three forces are converging at once:
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Licensure expansion
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Automation and AI tools
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Reimbursement and documentation reform
The Illinois Behavior Analyst Licensing Act represents one of the clearest examples of the first force.
Under the law, organizations providing ABA services must be owned by licensed behavior analysts. Non-licensed owners will have to divest ownership by January 2027.
From a policy perspective, the logic is straightforward. Clinical work should be controlled by clinicians. But policy changes like this rarely operate in isolation. They interact with economic incentives, labor markets, and technological change.
Jordan raised an eyebrow.
“So this is about protecting clinical integrity?”
Morgan shrugged.
“Partly. But it also changes the labor structure of the field.”
When Ownership Changes, So Do Incentives
Healthcare industries often evolve through cycles of professionalization.
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A service expands rapidly.
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Private investment flows in.
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Regulation follows to standardize quality and accountability.
ABA has followed this trajectory over the past two decades. Demand for behavior analysts has grown dramatically across the United States, with employment demand rising sharply year over year. Growth created opportunity. It also created risk. When organizations are owned primarily by investors rather than clinicians, incentives sometimes shift toward:
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maximizing billable hours
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minimizing staffing costs
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scaling services quickly
Clinical professionals in many healthcare sectors have watched this dynamic unfold. Illinois’ new rule represents a counter-move. It attempts to anchor clinical authority back inside the profession itself.
Jordan considered that.
“So clinicians own the clinics again.”
Morgan nodded.
“In theory.”
Automation Is Quietly Changing Clinical Labor
The Rise of AI-Assisted Practice
While regulatory changes reshape ownership structures, another transformation is happening inside the clinic itself. Artificial intelligence tools are rapidly entering behavioral health.
Some are already appearing in ABA practice management systems. Examples include:
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automated session note generation
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predictive scheduling systems
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documentation summarization tools
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authorization forecasting models
Many promise to reduce administrative workload. Some will. Others may introduce new risks. Ethical use of these systems requires practitioners to understand the models behind them, not simply trust the outputs.
Jordan kicked a pebble off the sidewalk.
“Honestly,” they said, “I’ve seen vendors demo systems that summarize session notes automatically.”
Morgan smiled.
“Did you check how they were trained?”
Jordan paused.
“Exactly.”
Automation Shifts Roles, Not Just Tasks
Technological change rarely eliminates professions outright. Instead, it shifts where human expertise is required. In clinical ABA practice, automation is moving along at least three dimensions.
First: Documentation
AI will assist with:
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summarizing session data
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generating draft notes
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flagging documentation gaps
But clinicians will still be responsible for verifying accuracy.
Second: Data Interpretation
Algorithms may identify patterns across large data sets. But interpreting those patterns within the context of a learner’s environment remains human work.
Third: Ethical oversight
Automated recommendations create new responsibility. Someone must evaluate whether the recommendation is appropriate for the client.
Morgan stopped walking.
“AI doesn’t eliminate clinical judgment,” they said.
“It makes it more important.”
The Governance Question
Who Should Control Clinical Technology?
Jordan leaned against a railing. “So maybe that Illinois rule matters more than it seems.”
Morgan nodded. “If clinics are owned by behavior analysts, then decisions about AI adoption might stay closer to clinical ethics.”
It was an interesting point.
When technology adoption decisions are made primarily by investors or software vendors, priorities often focus on things like efficiency, scalability, and revenue optimization.
When clinicians control the organization, other priorities may dominate such as client welfare, ethical compliance, and treatment fidelity.
Neither structure is perfect. Each carries its own risks. If a clinic cannot maintain itself as a healthy organization with predictable revenue, then at best it becomes a temporary blip in the community rather than a stable source of care. Financial sustainability is not separate from clinical ethics, it is one of the conditions that makes ethical care possible. Clinics that cannot meet payroll, maintain staffing levels, or weather reimbursement delays inevitably place pressure back onto clinicians and families. In that sense, strong clinical governance and strong operational discipline have to coexist. One protects the integrity of treatment, the other ensures the doors stay open long enough for that treatment to matter.
The Risk of Narrow Perspective
Jordan frowned.
“But if clinics are only owned by BCBAs… don’t we lose diverse perspectives? Also, I don’t know about your training, but I didn’t learn anything about running a business in my Masters program.”
Morgan nodded immediately.
“That’s the trade-off.”
Professional ownership can protect clinical values. But it may also reduce exposure to expertise from other domains such as healthcare management, data science, technology governance, and health economics.
Without those perspectives, organizations can become insular or fail to have the organizational skills needed to adapt.
Jordan laughed.
“You’re saying behavior analysts shouldn’t run the whole ecosystem alone?”
Morgan smiled.
“Let’s just say monocultures rarely produce the best systems.”
A Hybrid Governance Model
Ownership and Oversight Can Be Different
One potential solution is separating ownership from advisory governance.
Clinics may be owned by licensed behavior analysts while still incorporating outside expertise through advisory boards, ethics committees, technology review panels, and data governance groups.
This structure allows clinicians to maintain ultimate authority over treatment while benefiting from interdisciplinary expertise.
Jordan nodded.
“That makes sense.”
Morgan continued.
“Especially with AI.”
Because AI systems often require evaluation across multiple domains:
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statistical validity
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algorithmic bias
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data privacy
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clinical safety
Those are not exclusively behavioral questions.
The Hidden Variable in All of This
As they approached the building again, Morgan paused.
“You know what this conversation reminds me of?”
Jordan raised an eyebrow.
“What?”
Morgan pointed toward a nearby lawn where sprinklers were running.
“Ever notice how easy it is to assume the solution to every problem is just ‘more of the same input’?”
Jordan laughed.
“You mean like watering crops with the wrong thing and hoping they grow anyway?”
Morgan smiled.
“Exactly.”
Sometimes systems fail not because people are careless, but because they never stop to question the assumptions driving the system. If reimbursement incentives reward documentation speed and volume over clinical reflection, behavior will drift in that direction. If automation tools prioritize efficiency over validity, they will reshape clinical work. If governance structures concentrate decision-making in a narrow group, blind spots will emerge.
None of these shifts happen dramatically. They accumulate slowly.
