Why Caregiving Belongs In Your AI Workplace Strategy

Companies are investing heavily in AI to improve productivity, yet many overlook one of the biggest pressures on employee performance: caregiving. From childcare and elder care to healthcare, finances, and household logistics, these responsibilities drain time, focus, and energy. AI may offer a new form of care infrastructure by reducing the coordination burden employees carry outside of work. Leaders who recognize care as a business issue can strengthen retention, performance, and workforce capacity.

Companies are racing to deploy AI to increase productivity and get more output from leaner teams. But many are applying AI too narrowly, focusing only on workplace tasks while overlooking one of the biggest constraints on employee performance: the caregiving and logistical burden employees carry outside of work.

For millions of employees, professional responsibilities are layered on top of an increasingly complex web of caregiving obligations and life administration—raising children, caring for aging parents, navigating illness, and managing the invisible tasks that make modern life function.

Yet many companies still treat caregiving as a personal issue or a limited HR benefit rather than a core business challenge that directly affects productivity, retention, absenteeism, and burnout. That blind spot also represents one of the most important opportunities in AI and the future of work.

Between meetings, employees are coordinating doctor’s appointments for children and aging parents, managing medications, fielding school calls, navigating insurance claims, and stepping away to handle unexpected crises. Then many log back on at night to finish the workday they could not complete the first time.

For millions of workers, this is the baseline, not the exception. More than 63 million Americans are family caregivers, and nearly seven in 10 are simultaneously employed. Nearly one in three is part of the sandwich generation, caring for both children and adult family members, according to AARP and the National Alliance for Caregiving.

Care is an operational issue affecting workforce participation, retention, burnout, and long-term performance. Women make up the majority of caregivers and are significantly more likely to reduce hours or leave the workforce because of care responsibilities.

Yet many companies are still approaching the problem the same way: by layering on more standalone benefits. Stipends, navigation tools, and employee benefit point solutions—standalone apps and programs designed to address specific needs like mental health, fertility, caregiving, diabetes, and financial wellness—can help. But they often leave employees coordinating fragmented systems, providers, and services themselves. The result is growing “point solution fatigue.” According to a Grokker and HR Dive survey, nearly 40% of organizations offer employees six to 10 individual benefit options.

The support exists. The burden remains—because adding another tool doesn’t remove coordination work, it just adds one more interface to manage. This is where AI has the potential to fundamentally reshape workforce support, not as another point solution, but as a layer that absorbs the coordination itself. Today, employees act as the coordination layer across their own lives, navigating healthcare, caregiving, finances, and household logistics.

Increasingly, AI can absorb parts of that administrative and decision-making burden. AI-enabled systems can schedule appointments, route information between providers and family members, flag problems earlier, and reduce the administrative burden competing for employees’ attention each day. The opportunity is not simply automation. It is reducing cognitive load.

Increasingly, AI is being embedded into large real-world systems, including healthcare, caregiving, personal finance, and digital security, where it can directly improve how people live and work. More than $26 billion has been invested in the care economy over the past decade, according to recent data from The Holding Co., making it one of the largest and least visible sectors where AI is beginning to have meaningful day-to-day impact.

The next frontier is convergence: systems that communicate with each other and absorb the coordination work currently falling to employees and family members. This evolution is what AI as care infrastructure looks like, and it represents one of the most significant and underleveraged opportunities in the future of work.

Most companies are measuring productivity while ignoring one of the biggest constraints on it: care. Much of the friction limiting employee capacity lives outside of the workplace, yet most AI investments are focused on automating departmental tasks inside the office walls. The companies that will win in the next era of work will recognize care as a core business issue, and they will ask different questions before making investments.

Behind every productivity metric is a person managing something invisible. Companies that build for that reality will earn more of their workforce’s attention, energy, and capacity. The next competitive advantage may not come from asking employees to do more, but from reducing the burdens that prevent them from doing their best work.

Joanna Drake is a San Francisco-based company builder, operator, and investor. She is a Managing Partner at Magnify Ventures, backing entrepreneurs who are transforming how modern families live, work, and care for one another. Joanna began her investing career as a General Partner at Core Ventures Group and is a co-founder and producer of RAISE Global, now in its 11th year. She serves as C200’s Northwestern Director at Large.