So Where Do We Start?
Parenting is a tall order. It’s not just one job, it’s a thousand little roles rolled into one. At AiPair, we’re taking a structured approach to understanding what parenting actually looks like in day-to-day tasks so we can apply AI in a meaningful way.
On our Explore page, we’ll detail AiPair use cases, essentially, how AI can support parents in real, practical ways. But before AI can help, we need to break parenting down into manageable parts.
Parenting = A Collection of Hats
Let’s face it, parenting is a rotating set of job titles. Some days, we’re chauffeurs. Other days, we’re financial planners, event coordinators, or therapists. Sometimes, we’re all of the above before lunch.
So, rather than treating “parenting” as one massive responsibility, we’ll reframe it into activity-based roles, like:
Chauffeur. We’re constantly driving (we live in LA, so that may be a factor), school drop-offs, soccer practice, weekly Costco runs.
How AI Can Help: Coordinating carpools, auto-scheduling rides (Uber/Lyft/Waymo), or even reminding kids to grab their gym bag before leaving.
Physical vs. Non-Physical Care
Parenting can be divided into two major categories:
Physical care (feeding, dressing, carrying, cleaning up messes). We believe this is where even in the future, we won’t want to delegate this. This is where all the fun is, the relationship building, but we digress. The point is, AI won’t help us here.
Non-physical care (organizing, scheduling, teaching, advocating, advising). This is where AI can step in today.
Our focus? Non-physical caregiving so we can help parents manage their mental load.
Turning Parenting into Defined Work Activities
One way to systematically break down parenting is to look at it through the lens of an occupation. If you were to describe caregiving as a formal job, it would resemble that of a childcare worker, except, of course, unpaid and 24/7.
To keep things structured, we leverage O*NET, a database that categorizes jobs into specific tasks, knowledge, skills, and abilities.
For example, O*NET lists the following as part of a childcare worker’s responsibilities:
From here, we generalize these tasks into a list of core activities parents perform daily.
Breaking Down Parenting Roles into AI-Friendly Tasks
Once we apply this structured approach, we identify roles parents play and the many heats we ear and the tasks within them:
- Teacher – Imparting life skills, values, and knowledge.
- Counselor – Listening, offering advice, and helping kids navigate challenges.
- Disciplinarian – Setting boundaries, enforcing rules, and teaching accountability.
- Health Advocate – Managing doctor visits, medication schedules, and wellness reminders.
- Chef – Planning meals, grocery shopping, and prepping food.
- Household Manager – Keeping track of chores, organizing the home schedule.
- Supporter/Advocate – Representing kids’ interests in school, community, and beyond.
- Entertainer – Planning engaging activities that keep kids occupied.
- Financial Planner – Teaching money management, budgeting, and savings habits.
- Event Planner – Organizing birthdays, vacations, and school events.
- Chauffeur – Transporting kids everywhere, from soccer to piano lessons.
- Coach/Mentor – Encouraging hobbies, sports, and personal growth.
Once we map out these roles, we start distilling them into discrete, actionable tasks.
What AI Will (and Won’t) Solve
From here, we define what AI can reasonably assist with.
If an AI tool or automation can simplify the task, we explore it.
If an existing tool already solves the problem (without a parenting-specific twist), we move on. For example: travel planning? That’s already covered by dozens of AI-driven platforms.
What’s Next? Stay tuned as we build AI solutions that make parenting a little bit easier.
Want to share your thoughts? Drop us a comment below -because parenting is so much better as a team sport,
