Technology has always chased efficiency: faster moves, quicker messages, fewer bumps in the road. But as we sprinted towards speed, coffee chats turned into Slack threads, brainstorms became AI prompts, and those daily moments of connection slowly disappeared.
Now, a new kind of founder is tapping the brakes and asking harder questions. Can AI do more than automate workflows? Can it help rebuild the social connections that were lost in the name of efficiency?
That’s the spark behind what people are calling the empathy economy—and investors are definitely listening. Here’s what’s driving the shift and how it’s changing the way founders think about connection.
What research says about AI and human connection
The same tech blamed for making us less connected might be the one helping us reconnect. Ironic, isn’t it? Turns out, AI’s getting pretty good at empathy, and even better at teaching it.
A University of Toronto Scarborough study revealed that AI-generated crisis-text responses were rated more compassionate than those written by expert human counsellors, scoring 4.08, compared to 3.50. Another study flipped the equation. Instead of measuring whether AI could be empathic, it tested whether it could teach empathy. The results? Volunteers who received real-time AI feedback improved their empathy by nearly 20%. Even more striking, the number jumped to 38.9% among those who struggled most to offer emotional support.
One study shows AI demonstrating empathy. The other shows it helping humans express it better. Together, they suggest that even though machines can’t feel emotions, they can play a real role in strengthening how we connect with and understand each other.
How startups are using AI to strengthen social connection
Founders are already turning those insights into products that make tech feel a little more human and remind us what real connection feels like.
- Empathy, a startup helping families navigate the bureaucracy and emotional weight of loss, blends logistical guidance (estate tasks, paperwork) with gentle, human support. Its recent $72 million Series C shows there’s real demand for technology that feels human.
- Daimon Labs is rethinking what companionship means in the age of AI. Its models don’t talk at users, they keep company. Some describe it as having a friend or pet that lives in their phone, offering a steady kind of presence that feels surprisingly real.
Series, an AI social networking platform, launched on college campuses to help students meet mentors and collaborators. Its “AI friends” act like social matchmakers, introducing people with shared goals, values, and creative spark. And it’s already expanding into professional networking and beyond.
The hidden risks of empathy-driven technology
The closer tech gets to feeling human, the easier it is to forget it isn’t. And that’s where things get complicated.
- Emotional reliance: CBC News found users forming deep attachments to chatbots. Some even grieved when they vanished—a reminder of how easily comfort can slip into dependence.
- Distorted feedback loops: Connected Minds at York University and Queen’s warns that bots designed to always agree can unintentionally reinforce unhealthy thinking. Because real empathy isn’t about nodding along, it’s knowing when a little pushback does more good than comfort.
- Real-world consequences: Earlier this year, a Canadian teen died after hundreds of exchanges with a bot that called him “sweet king.” Families say the chatbot’s tone blurred the line between comfort and control, leaving teens vulnerable in ways no one saw coming.
Empathy without limits isn’t care, it’s control. Boundaries are what keep connections safe.
Canada’s opportunity to lead in responsible, human-centred AI
The challenges of emotional AI are real, but they’re not deal breakers. They’re reminders that empathy needs structure, and that’s something Canada already does really well. Mila, Montreal’s leading AI research institute, studies how fairness and bias shape the way machines understand people. The Vector Institute in Toronto is turning that research into practice, helping teams design AI that’s ethical and accountable. And through the Global Partnership on AI, Canada’s helping set the standard for what responsible, human-centred innovation should look like.
That mindset is inspiring a new wave of startups building tech that feels thoughtful, emotionally aware, and most importantly, human.
- Cohere trains language models to understand tone and intent with remarkable precision—keeping Canada at the forefront of conversations around emotionally aware, responsible AI.
- Drellis.ai is taking that same empathy-driven approach to mental health, building trauma-informed AI companions that help men navigate tough emotions and feel less alone.
- Winterlight Labs shows what empathy looks like in practice. Its software analyzes subtle changes in speech to detect early signs of cognitive decline—a glimpse of how compassion and precision medicine can work hand in hand.
Canada’s AI ecosystem may not be the biggest, but that instinct to pause, listen, and build responsibly might be exactly what gives our tech its emotional intelligence.
Founder playbook: designing AI that connects people
With the emotion AI market expected to hit USD 9.01 billion by 2030, investors are betting big on empathy as tech’s next edge. But empathy doesn’t scale like code. It takes patience, context, and a little humanity to build tech that truly connects. Here’s where founders can start.
- Map emotional moments: Find the highs and lows (where users light up, hesitate, or get stuck) and design with those feelings in mind.
- Measure the human stuff: Track trust, ease, and comfort alongside clicks and completions. Data’s great, but understanding what moved someone matters more.
- Prototype with range: Test across languages, ages, and cultures. Because empathy shaped through one lens misses the view from everyone else’s.
- Mix your minds: Get engineers, psychologists, ethicists, and storytellers in the same room. Empathy shows up when different kinds of curiosity collide.
- Build a little tension in: Constant validation feels nice, but it doesn’t leave room to grow. Give users space to pause, reflect, and reset.
- Be upfront. Let people know when they’re talking to a person and when they’re chatting with code.
The future of human-first innovation and digital connection
The empathy economy is giving AI a reset, and Canada’s got the temperament for it. We build with patience, curiosity, and a sense of responsibility that keeps people in the frame.
If that sounds like your kind of work, TBDC’s the place to start. We’ll back you with the mentorship and funding prep you need to take your human-first idea from concept to connection.
