Pairing fractional executives with AI agents could change how companies think about workforce design
Bringing on a full-time senior executive is expensive, slow, and harder to undo than most companies would like to admit. A growing number of employers are asking whether there’s a smarter way to get that level of expertise without the full-time commitment.
“Never before have there been more tools at our disposal to build from leaner teams,” said Michael Meo, founder of Build Momentum, a Los Angeles-based venture studio. “Everything from AI agents to fractional support and the efficiencies built into engineering workflows, you can build very asset-light teams that have tremendous leverage.”
The model Meo is advocating is straightforward in concept but represents a meaningful shift in how companies think about hiring. Rather than bringing on a full-time senior executive, a company hires that person fractionally, typically a few days a week, for a defined period and on specific objectives. AI agents then handle the more repetitive, lower-judgment tasks that would otherwise eat into that person’s time. The fractional hire focuses entirely on strategy and high-level execution.
“The worst thing you could do is bring in a seasoned fractional chief marketing officer who’s driving growth strategy, but also executing Facebook campaigns,” Meo said. “There are certain commodity tasks where it doesn’t make sense to have expensive talent on that work. Those are the tasks most appropriate for AI agent implementation.”
Rethinking what senior talent is actually for
For companies with tighter budgets, the appeal is access. A startup or mid-sized company that can’t justify a full-time chief product officer can bring one in fractionally, with AI agents absorbing the administrative and repetitive workload underneath. Meo describes it as a chance to “date before you marry,” a lower-risk way to evaluate whether a senior hire is the right fit before committing to a full-time offer.
But the model isn’t limited to organizations pinching pennies. Alec Levenson, senior research scientist at the University of Southern California’s Marshall School of Business Center for Effective Organizations in Los Angeles, sees a parallel dynamic playing out inside larger companies already, and one that AI is accelerating.
“AI has the ability to really accelerate how you can apply a person,” Levenson said. “You take somebody who’s already working full time. You’re fully engaged with them, but you weren’t fully engaged with their full skill set, because they had to spend a lot of their time on rote work. Now it could potentially superpower them, so that more of that rote work can either be done by the technology or handed off to more junior people.”
The effect, Levenson argues, is a kind of internal fractionalization, with senior employees freed up to operate more like fractional executives within their own organizations, spending more of their time on the strategic work they were actually hired to do. As CHROs grapple with how to integrate agentic AI into their workforce structures, this reframing offers a less disruptive entry point than wholesale workforce redesign.
Fractional talent isn’t new. The market for it is.
Levenson is careful to note that fractional work itself isn’t a novel concept. Companies have always used part-time advisors and project-based consultants. What’s changed is the infrastructure that makes it easier to find, vet, and deploy senior talent on demand.
“It’s the final evolution of what we did with temporary work and gig work,” Levenson said. “The funny thing is, you wouldn’t ever say you wanted to hire a part-time chief financial officer, because that sounds like you’re not being serious. But if you hire a fractional CFO, it’s the same thing.”
Online marketplaces and matchmaking platforms have created liquidity in a market that previously relied on personal networks and expensive search firms. U.S. Bureau of Labor Statistics data on contingent and alternative work arrangements shows just how large that market has become, and the expertise economy has expanded sharply in recent years, with contractor and consulting engagements surging as companies seek flexible solutions to talent needs. According to a March 2026 DataIntelo market research report, the global fractional executive market was valued at .4 billion in 2025 and is projected to reach 4.7 billion by 2034. That shift has also opened up new options for experienced executives who’ve hit a wall with the demands of full-time corporate roles.
“There are large numbers of people out there who work really hard and get to the top of their skills for their profession, but it just gets to be too much,” Levenson said. “They don’t want to go from essentially going 100 miles an hour down to zero. The emergence of a marketplace for fractional executive talent is a real win-win. It gives them a way to slow down but stay engaged, and it gives smaller organizations access to talent they could never otherwise justify.”
How to make this model work
Meo’s advice for HR leaders thinking about adopting this model starts with flexibility in how the work is scoped. The biggest risk he sees isn’t finding the wrong person. It’s designing the engagement in a way that disconnects pay from outcomes.
“The last thing you want is having someone on the team where you’re just paying for their time and they don’t have the incentive to deliver,” Meo said. “You can mitigate a lot of risk by getting smart about how you design the incentives.”
He also warns against building teams that are too rigid for the organization’s actual trajectory. A full-time team locked in around today’s problems becomes a liability when those problems change, and they will. Workforce planning is increasingly a dynamic process rather than an annual exercise, and the fractional model is partly an acknowledgment of that reality.
On the AI agent side, Meo warned there are real risks. Implementation, he said, is “super risky” and “catastrophic if done wrong.” His recommendation is to bring in fractional technical expertise specifically to own the process, someone who understands both the organizational objectives and the agent architecture, rather than simply replicating existing workflows in automated form.
“You really need someone to be a responsible steward of that change,” Meo said.
As AI takes on more of the routine work, Levenson argues, the value of human judgment at the senior level goes up, not down. Research on how organizations are rethinking work design beyond traditional employment models points in the same direction. That’s the real case for being deliberate about how that talent is deployed.
“Having people make the right decision about the output that gets produced is still incredibly valuable,” Levenson said. “If anything, it’s becoming more valuable than it was before.”
