Back in 2008, Garrett Camp and I were walking on the Washington Mall, and he was telling me about this little startup idea he had: "UberCab" The problem was simple—getting a taxi in SF was extremely hard at the time. They called him crazy. People laughed at Brian (AirBnB) for competing with hotels. Oops. The few remaining industries that haven't yet been transformed by technology are about to have their moment. And the legacy players in those industries who like to say "but OUR industry is too human and immune to technology" are about to either adapt, or be replaced. Why? Because AI does heterogeneity and personalization better than humans do. And it does it better than any human ever could at scale - it uses that scale to its advantage. What are some examples? Well, obviously Honor's industry - home care. But let's talk about a few others... 1. Homeowners Association Management This market is incredibly fragmented, with thousands of individual associations. Companies like Anyhoa use AI to automatically manage documents and predict maintenance needs before they become problems. 2. Bookkeeping & Local Accounting Small business accounting remains stuck in manual processes with labor-intensive data entry. AI tools now transfer data from invoices to software, categorize transactions, and generate real-time financial insights. 3. Auto Collision Repair This industry operates on thin margins with variable quality across thousands of independent shops. Companies like Caliber use AI diagnostics to assess damage, streamline estimates, and provide real-time updates to customers. 4. Parking Lot Operations Parking facilities represent massive investments that operate with minimal technology. AI systems use real-time data to optimize parking spaces, automate payment, and enhance security. 5. General Contracting Construction has been notoriously slow to adopt new technologies. However, McKinsey estimates AI could boost construction productivity by up to 20% through better planning and resource management. Generative AI alone could add 3.5% productivity growth to the US economy by 2032. That's roughly $1 trillion yearly in economic value. The trillion-dollar question isn't if these industries will transform, but who will lead that transformation. Embrace AI or risk being absorbed. If you're operating in one of these industries, how are you becoming AI native?

We're running out of beds in America. 10,000 people are turning 65 every single day: Our senior care system is already collapsing under the pressure. Here's why experts are calling it the “Silver Tsunami”: There are 56 million Americans over 65 right now…that same demographic is projected to jump to 82 million by 2050. As a result, 53 million Americans are already serving as unpaid caregivers. This isn’t a distant threat—it’s happening as we speak. Seniors are already struggling to find caregivers. Families (especially daughters) are quitting their jobs to provide the care that’s unavailable or unaffordable elsewhere. Senior living communities are already running at ≈ 95 % occupancy. Even if we added ~3,000 new nursing homes, demand would still outstrip supply. Space in senior-living communities and hospitals simply can’t and won't scale fast enough. Long-term-care supply tops out at ≈2.8 million beds (1.6 M in nursing homes 1.2M in residential-care/assisted-living)—enough for ~ 4 % of today’s seniors. And no surprise - today about 4% of the senior population lives in some form of senior living. That means 96% of older adults are aging at home - 96%! That percentage won't go down - but the absolute number will skyrocket. And the problem is just as acute in healthcare... adults 65 and older account for about 40% of all hospital stays even though they're 17% of the population. US hospital beds average 65-70% occupancy right now. You can see where this is going... Care has to move where people already are: at home. At Honor, we’re building a tech-enabled approach to help older adults stay in their own homes by: • Coordinating care schedules in real-time • Matching seniors and Care Professionals at scale • Giving families better visibility into day-to-day care We started using AI back in 2016, long before it was in the headlines, to tackle these exact challenges. When millions of Americans need help simultaneously, we need solutions that can scale just as fast. How are you preparing for the “Silver Tsunami” and the future of aging in America?

Founders and VCs fall into the same growth trap year after year: A startup launches in a niche market. Early traction looks great, everyone’s cheering, and capital chases the curve. Then the curve flattens—because the total addressable market (TAM) is already tapped out. Growth stalls, morale tanks, and the company fades. "The walking dead". However, the truth is, the growth treadmill never stops. If you raise venture money, you’re stepping on a treadmill that can’t slow down: • $10M in revenue this year? Next year has to be $20M. • $100M this year? Next year needs to be $150M. • Hit $1B? Now shoot for $1.2B—minimum. That pace only works when your market is huge and continues to expand. Otherwise, momentum dies the moment you hit the ceiling. Take a certain company that raised $15M to build a...precision tea infuser. The early signs were great: • Design awards • Media buzz • 500K servings brewed across 20 countries But most casual tea drinkers didn’t want a $999 machine, and true tea lovers preferred hand-brewing. The TAM was tiny. Growth flat-lined, and the company shut down in 2017, not because the product was bad, but because the ceiling was low. Whether you’re building the company or investing in it, the growth trap looks the same: early numbers sparkle, emotions spike, and rational TAM math goes quiet. Here’s how to keep your footing on either side of the table: Founders: • Decide upfront: is it a lifestyle business (great!) or venture-scale machine? • If it's venture-scale, remember revenue must compound aggressively every single year. • Validate the ceiling, not just initial demand. VCs: • Don’t get hypnotised by the first uptick. • Pressure-test the TAM and the speed at which it caps out. In other words - if you concentrate on building a company that can truly have world impact - you'll escape the gravity of the growth trap. But incremental ideas simply will not. It's what people call "a feature not a product". Early traction is proof you’ve built something people want. It is NOT proof there’s enough headroom to keep doubling. If the honest answer to “Can this keep compounding?” is no, then change the plan—or the funding model—before the treadmill throws you off.

The fast food industry is facing its biggest transformation in over 20 years. First, they scaled through kitchen management systems. But now Papa Johns just joined the $1B AI revolution through a major Google Cloud partnership. Their goal? To read your mind—and know what pizza you want before you do. The last time we saw a shift this big was in 2001, when Papa Johns pioneered online ordering for all U.S. customers. But since then, they’ve fallen behind technologically—something their own CEO has acknowledged. Now they’re aiming to leapfrog the competition by making every interaction smarter and more personalized. Imagine this: • Getting pizza recommendations based on your past orders • A chatbot that actually understands your cravings • Notifications that hit exactly when you’re hungry This isn’t sci-fi—it’s already happening. They’ve even formed “PJX,” an innovation team blending Papa Johns and Google Cloud talent. And it’s not just in the customer-facing tech: • Automated inventory management • AI-optimized delivery routes • Faster, smarter workflows And Papa Johns aren't alone: • Taco Bell has invested $1B in digital tech • McDonald’s also partnered with Google Cloud • Chipotle launched a $100M venture fund for automation For years, many service-based organizations have struggled to keep pace with new tech—whether it’s a big restaurant brand or a home care provider. But in 2025, AI is flipping the script in every corner of the service industry, creating: ✅ Better customer experiences ✅ New roles and responsibilities for workers ✅ Huge efficiency gains for businesses ✅ Pressure on competitors to catch up At Honor / Home Instead, we too are using AI in older adult care to: • Improve scheduling so Care Pros and clients line up seamlessly. • Give care teams the right context to serve seniors better and faster. • Predict care needs for clients based on real-time data, not guesswork. AI is a wave you can’t ignore. Innovation isn’t optional anymore. It’s the difference between thriving and surviving. How are you preparing for the AI wave in your industry?

In-home care is the key to independent aging. But we’re not ready. The US is already short millions of caregivers, and demand is skyrocketing. If we don’t rethink how we attract, train, and support caregivers, the system will collapse.

People are living longer, but are they living better? Our lifespan has increased, but healthspan hasn’t kept up. We need more, better, years. That means better care, stronger communities, and more innovation.

Loneliness is more than just a bad feeling—it’s a public health crisis. It makes cancer deadlier, weakens the immune system, and speeds up Alzheimer’s. Chronic loneliness is as deadly as smoking a pack of cigarettes a day. We must stop ignoring it.