Real Estate

A Return To Office mandate is a funny thing. A trade-off of lower workforce productivity, morale, retention, engagement, and trust in exchange for...managers feeling more in control. It's more a sign of insecurity and incompetence than sound decision-making. The fact that 80% of executives who have pushed for RTO mandates have later regretted their decision only makes the point further, and yet every few months more leaders line up to pad this statistic. In case your leaders have forgotten, return to office mandates are associated with: 🔻 16% lower intent to stay among the highest-performing employees (Gartner) 🔻 10% less trust, psychological safety, and relationship quality between workers and their managers (Great Place to Work) 🔻 22% of employees from marginalized groups becoming more likely to search for new jobs (Greenhouse) 🔻 No significant change in financial performance while guaranteeing damage to employee satisfaction (Ding and Ma, 2024) The thing is, we KNOW how to do hybrid work well at this point. 🎯 Allow teams to decide on in-person expectations, and hold people accountable to it—high flexibility; high accountability. 🎯 Make in-person time unique and valuable, with brainstorming, events, and culture-building activities—not video calls all day in the office. 🎯 Value outcomes, not appearances, of productivity—reward those who get their work done regardless of where they do it. 🎯 Train inclusive managers, not micromanagers—build in them the skills and confidence to lead with trust rather than fear and insecurity. Leaders that fly in the face of all this data to insist that workers return to office "OR ELSE" communicate one thing: they are the kinds of leaders that place their own egos and comfort above their shareholders and employees alike. Faced with the very real test of how to design the hybrid workforce of the future, these leaders chose to throw a tantrum in their bid to return to the past, and their organizations will suffer for it. The leaders that will thrive in this time? Those that are willing to do the work. Those that are willing to listen to their workforce, skill up to meet new needs, and claim their rewards in the form of the best talent, higher productivity, and the highest level of worker loyalty and trust. Will that be you?

*UPDATED* (and still true): When you build "luxury" new apartments in big numbers, the influx of supply puts downward pressure on rents at all price points -- even in the lowest-priced Class C rentals. Here's evidence of that happening right now: There are 21 U.S. markets where Class C rents are falling at least 4% YoY. What is the common denominator? You guessed it: Supply. Of those, all but one have supply expansion rates ABOVE the U.S. average. In Florida -- which continues to make itself a supply magnet with strong demand + the boost from the new Live Local legislation -- NINE metro areas made the list, with Class C rent cuts exceeding 4% year-over-year. Other key markets nationally to highlight: Ultra-high-supplied big markets like Austin, Phoenix, Salt Lake City, Raleigh/Durham and Atlanta are all seeing sizable Class C rent cuts of at least 5%. Tampa, Dallas, Charlotte and Orlando cut at least 4%. Small markets on the list include Provo, Greenville, Colorado Springs, and Wilmington (NC). Bear in mind that apartment demand is NOT the issue in any of these markets. They're all demand magnets. Sure, they've seen some moderation / normalization for in-migration and job growth, but (among the larger metros) every single one of them ranks among the national leaders for net absorption. (Interestingly, btw, Class C rents are falling materially MORE than Class A rents in most of these markets.) Simply put: Supply is doing what it's supposed to do when you add a ton of it. It's a process academics call "filtering" -- which happens when higher-income renters in Class B+/A- apartments move up into higher-priced new Class A+ units ... and then Class B+/A- units see vacancy increase, so they cut rents to lure up Class B renters ... and they Class B cuts rents to lure Class C renters. And down the line it goes. Filtering works best when we build a lot of apartments. We didn't see this phenomenon play out as clearly in past cycles when supply was relatively limited -- and failed to keep pace with demand. We probably won't see it in future years, either, as supply inevitably plunges and (barring some shock) could revert back to falling short of demand in high-growth markets. Less anyone still doubt, the inverse is true as well: Class C rents climbed at least 4% YoY in 22 of the nation's 150 largest metros, and nearly all of them have limited supply. So you can't just blame affordability ceilings when Class C rents are climbing briskly in low-supply markets while falling in high-supply markets. Most new construction tends to be Class A "luxury" because that's what pencils out due to high cost of everything from land to labor to materials to impact fees to insurance to taxes, etc. So critics will say: "We don't need more luxury apartments!" Yes, you do. Because when you build "luxury" apartments at scale, you will put downward pressure on rents at all price points. #multifamily #affordability #housing #rents

Why Zoning is Civil Rights Work When most people hear the word zoning, they think about technicalities: setbacks, height limits, density allowances. It sounds dry, like something only planners or lawyers care about. But here’s the truth: zoning is not neutral. It’s about who gets to live where, and under what conditions. Which means zoning is civil rights work. A Tool of Exclusion Zoning has long been used to draw invisible lines that separated people by race and class. -Early 20th-century zoning explicitly barred Black families from white neighborhoods until the Supreme Court outlawed it in 1917. -When race-based zoning was struck down, cities pivoted to “exclusionary zoning”, large-lot single-family requirements, bans on apartments, and parking mandates. The effect was the same: keeping certain people out. -Combined with redlining and urban renewal, zoning became a powerful tool for segregation and disinvestment. The legacy is visible today. In many cities, the neighborhoods with the best schools, green space, and transit are zoned for single-family homes only, shutting out renters, working-class families, and first-generation buyers. Why Reform Matters Now When we talk about equity in housing, zoning is often left out of the conversation. But it shapes everything else: -Housing access. If only single-family homes are allowed, and those homes start at $500K, who can afford to move in? -Opportunity. Zoning dictates whether a child grows up near strong schools, jobs, and transit, or in an isolated area with fewer resources. -Affordability. Allowing duplexes, triplexes, and small multi-family homes can open the door to more affordable options without subsidies. In other words, zoning is not just land use policy. It’s opportunity policy. Zoning as Repair If zoning has been used as a tool of exclusion, it can also be a tool of repair. Reform doesn’t mean eliminating single-family homes. It means giving communities more choices: -Legalizing missing middle housing like duplexes, fourplexes, and accessory dwelling units. -Reducing parking requirements that inflate costs and limit walkability. -Supporting mixed-use neighborhoods that connect housing to small businesses, schools, and services. When we talk about housing as a civil rights issue, we can’t only talk about programs and subsidies. We have to talk about the rules that shape the very ground we build on. The Call Take Away Zoning may look like a technical detail, but it determines who belongs where. And that makes it one of the most important levers we have for building equitable cities. Civil rights isn’t only about who can vote or who can ride the bus. It’s also about who gets to live in safe, affordable, opportunity-rich neighborhoods. If we want to live up to our values, zoning reform has to be part of the civil rights agenda. What’s one zoning rule in your city that you think needs to change?

Consider this suggestion that has helped me survive this industry for three decades at Microsoft, Google, and Amazon…during this holiday season step back from the endless cycle of activity and think, reflect, and live in the moment. Being busy every second isn’t what leads to inspired decisions or breakthroughs. Instead, it can stifle creativity, increase stress, and prevent the innovative thinking that moves the needle. Ignore work and be with your family – I guarantee that you will have better ideas and more energy when you restart next year. Here are the specifics: 1. Create Space for Innovation: The best ideas often emerge when you have room to breathe and think. Give yourself permission to slow down over the holidays. With that mental breathing room, you’ll be better equipped to imagine creative approaches, develop new strategies, and identify opportunities that may have been hidden in the day-to-day grind. 2. Prevent Burnout: Non-stop work leads to burnout—worn-down energy levels, reduced clarity, and diminished effectiveness. By intentionally setting aside time to recharge, you protect your mental and physical well-being. Returning to work refreshed means you can hit the ground running with renewed focus, making it easier to channel your energy into the projects that drive real results. 3. Refresh Your Objectives: Innovation doesn’t just appear out of thin air; it emerges when you thoughtfully consider what’s been working and where you can improve. Use the slow ramp at the start of the year to reflect on the road ahead. Coming back with a fresh perspective will help you zero in on what matters most, ensuring your efforts align with your core objectives. 4. Invest Time in Yourself: Slowing down provides time for learning and personal growth—reading, thinking, or exploring new perspectives outside your normal routine. By expanding your horizons during the break, you return to the office with heightened curiosity and sharper judgment, ready to tackle complexity. This holiday season, step away from the mindset that more activity equals more success. Instead, recharge. Let your mind wander. Immerse yourself in moments that inspire you. By doing so, you’ll return to work with greater clarity, a fresh sense of purpose, and the creative momentum.

I recently had the opportunity to speak with Sumit Lakhani on The Corner Awfis podcast. We had an honest conversation about how much the commercial real estate space has changed over the last few years - and what those changes mean for developers, occupiers and employees alike. One of the biggest shifts we have seen is how companies now think more carefully about the kind of office spaces they want. There is a growing preference for high-quality buildings in multiple cities, and a clear focus on working with partners who can deliver long-term value. The market has become more selective, and that’s pushing everyone to raise their game. We also spoke about how tenant needs have evolved since the pandemic. Earlier, office design was mainly about fitting in more desks. Now, companies are looking for spaces that help people collaborate better, give them flexibility and make them want to come to the office. Many of our clients are redesigning their workplaces to include more open areas, creative corners, and layouts that feel less rigid and more human. There is also been a big focus on the overall experience we offer. Things like having more food and beverage options, clean and well-designed common areas, wellness zones, and better indoor air quality are no longer optional - they are expected. We did a survey with our clients to understand their top five priorities, and we have started making sure every project meets those needs. Sometimes, small things can make a big difference in how people feel at work. When I think about my 26 years in this industry, I believe the last few years have brought some of the most significant changes I have seen. The only other moment that felt this transformative was in the early 2000s, when India’s IT sector began its rise and brought in a new wave of office demand. What’s happening now may be even more meaningful, because it’s not just about demand - it’s about rethinking how offices function, what they stand for, and how they support the people who use them. A big thank you to Sumit and the team at Awfis Space Solutions Limited for hosting this conversation. It’s important to pause and reflect on how much has changed - and how much opportunity lies ahead.

We’ve called efficiency the unsung hero of the energy transition in the past. While the energy transition will happen first through the transition of energy usages, like the shift with transport, from internal combustion engines to electric vehicles, or from fuel or gas boilers to heat pumps, we cannot ignore the utmost priority of the energy transition: efficiency. Efficiency is the greatest path to reduce our energy use, our impact on the world’s climate through CO2 emission reduction, and very importantly, the best way to make solid and practical savings. In its most historical form, energy efficiency is about better insulation, to reduce heating (or cooling) loss in buildings like family homes, warehouses, office high rises, and shopping malls. This is useful, but expensive and tedious to realize on existing installations. Digitizing home, buildings, industries and infrastructure brings similar benefits at a much lower cost and a much higher economic return. The combination of IoT, big data, software and AI can significantly reduce energy use and waste by detecting leaky valves, or automatically adjusting heating, lighting, processes and other systems to the number of people present at any given time, using real-time data analysis. It also allows owners to measure precisely progress, report automatically on their energy and sustainability parameters, and benefit from new services through smart grid interaction. And this is just the energy benefit. Automation and digital tools also optimize the processes, safety, reliability, and uptime leading to greater productivity and performance.

I spent the week trying to answer the question: How can I build a property management company with zero human employees? After studying every AI tool in multifamily, I found something surprising. Here's what would happen if machines ran your apartment building: A few months ago, I designed a hypothetical zero-employee development firm. Now, I'm tackling property management. I can't stop thinking about how close we are to this reality. From leasing to maintenance, there's now an AI tool for almost every step. So I designed a hypothetical property management company with zero employees: Asimov Management. The goal: a full-service multifamily property manager that happens to have no full-time staff. For this to work, we'll use AI and automation to cover: • Marketing and leasing • Pricing optimization • Virtual and self-guided tours • Tenant screening and onboarding • Customer service • Maintenance coordination • Renewals and reporting While the tech isn't 100% there yet, here's what I learned: What's already possible: → AI-powered leasing assistants handle most prospective tenant questions → Self-guided tours work through automated access control systems → Maintenance requests can be routed to third-party gig workers → Renewal offers can be automatically generated and negotiated Where we're stuck: → Physical maintenance still requires humans (robots can't fix toilets...yet) → Many residents still prefer talking to a human at a front desk → Preventative maintenance relies on technicians' intuition → Larger buildings (250+ units) struggle with full automation The reality: • The most valuable application isn't replacing property managers • It's giving them superpowers to handle more properties with less effort Here's what this means for property management: • Class definitions may shift as service expectations change • Tasks will be centralized rather than eliminated • Resident preferences may actually evolve to favor AI interactions • The best operators will blend automation with strategic human touchpoints From my experience founding Common in 2015, I learned something critical: The approaches that worked well at 50-unit properties often broke at 250 units. Technology can centralize most functions. But, some residents always prefer walking to the front desk rather than using an app. This could change as AI improves. Meaning residents may prefer the predictability of AI over unpredictable humans. We're already seeing this in ride-sharing, where Waymo beats Uber and Lyft in user retention. So how close are we to machines running property management? Perhaps far closer than we expect. What parts of property management do you think AI will transform first? Full letter on how I designed Asimov Management is linked in the comments.

I lost £35k on the sale of my first home because of one simple mistake. Don't make the same error as me: 1. Strategic timing matters. Sell in summer when your home looks its best and yards are in bloom. The real estate market fluctuates dramatically, so once you have an offer, move quickly toward closing. Our costly mistake? Pushing for a 6-month closing timeline, leaving too much time for market conditions to change. When market sentiment shifted, our buyer's lender reappraised the property lower. 2. Small investments yield big returns. Spend a few hundred dollars on fresh paint, minor repairs, and professional cleaning. These small touches can add thousands to your final sale price by creating a move-in-ready impression. The ROI on pre-sale improvements is often 5-10x your investment. Focus on kitchens and bathrooms - they sell homes faster and for more money than any other area. 3. Create competitive bidding situations. Host open houses during limited timeframes (1-2 hour windows). When multiple buyers view simultaneously, they see the competition firsthand. This perception of demand creates urgency and drives up offers. A good agent will leverage this energy to negotiate between multiple interested parties. I used Highcastle - and they were great. 4. Thoroughly verify your buyer's financing. Don't just accept "pre-approved" at face value. Our mistake was not digging deeper into our buyer's mortgage situation. The longer the process drags on, the more time for financing circumstances to change. Request proof of funds or a mortgage pre-approval letter. For those using Islamic home financing, this verification is even more critical as the process can involve additional steps. 5. Compress your timeline as much as possible. The probability of a sale falling through increases dramatically with time. Between agreement and closing, countless variables can change: mortgage rates, buyer circumstances, and home appraisals. Each week that passes represents a risk to your sale price. Push for 30-60 day closing windows whenever possible. The painful lesson: What began as a £35k premium evaporated because we opted for a distant closing date. Have you experienced something similar with real estate timing? Share your story below.

Data center inventory in North America grew by a record 43% over the past 12 months, but the region’s vacancy rate remains near historic lows at just 4.2%, according to new data from the CBRE Global Data Center Trends report for 1Q 2025. In other words, developers are deploying more new data center space than ever, but are still unable to keep up with demand, according to CBRE Data Center Solutions. “Rising demand from AI and hyperscale users is shrinking vacancy and operators with available capacity in key markets are commanding premium rates,” said Pat Lynch, executive managing director for CBRE’s Data Center Solutions. Despite ongoing power supply challenges, Northern Virginia remained the largest market, expanding its inventory by 523 megwawatts (MW) over the past 12 months, with a vacancy rate of just 0.76%. The average rental rate increased by 15%, driven by preleasing of facilities scheduled for delivery as far out as 2028. The Top 5 U.S. markets continued to evolve, as Atlanta and Phoenix are now the second and third largest data center markets in North America, surpassing Dallas and Silicon Valley, now fourth and fifth. “Power constraints in legacy markets are forcing hyperscalers to seek new frontiers for development, spreading workloads across multiple smaller locations with faster power availability timelines,” said Gordon Dolven, Director of CBRE Americas Data Center Research. “While improvements in fiber connectivity have reduced latency concerns and supported this shift, it’s power that ultimately determines where infrastructure can scale.” Here's a chart that illustrates the supply issues: Of the 7 markets with the lowest vacancy rates, all but Singapore are in the Americas. Read the report here: https://lnkd.in/eW3aVhQP

Over the last year, I’ve seen many people fall into the same trap: They launch an AI-powered agent (chatbot, assistant, support tool, etc.)… But only track surface-level KPIs — like response time or number of users. That’s not enough. To create AI systems that actually deliver value, we need 𝗵𝗼𝗹𝗶𝘀𝘁𝗶𝗰, 𝗵𝘂𝗺𝗮𝗻-𝗰𝗲𝗻𝘁𝗿𝗶𝗰 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 that reflect: • User trust • Task success • Business impact • Experience quality    This infographic highlights 15 𝘦𝘴𝘴𝘦𝘯𝘵𝘪𝘢𝘭 dimensions to consider: ↳ 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆 — Are your AI answers actually useful and correct? ↳ 𝗧𝗮𝘀𝗸 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗼𝗻 𝗥𝗮𝘁𝗲 — Can the agent complete full workflows, not just answer trivia? ↳ 𝗟𝗮𝘁𝗲𝗻𝗰𝘆 — Response speed still matters, especially in production. ↳ 𝗨𝘀𝗲𝗿 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 — How often are users returning or interacting meaningfully? ↳ 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗥𝗮𝘁𝗲 — Did the user achieve their goal? This is your north star. ↳ 𝗘𝗿𝗿𝗼𝗿 𝗥𝗮𝘁𝗲 — Irrelevant or wrong responses? That’s friction. ↳ 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗗𝘂𝗿𝗮𝘁𝗶𝗼𝗻 — Longer isn’t always better — it depends on the goal. ↳ 𝗨𝘀𝗲𝗿 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 — Are users coming back 𝘢𝘧𝘵𝘦𝘳 the first experience? ↳ 𝗖𝗼𝘀𝘁 𝗽𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 — Especially critical at scale. Budget-wise agents win. ↳ 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝘁𝗵 — Can the agent handle follow-ups and multi-turn dialogue? ↳ 𝗨𝘀𝗲𝗿 𝗦𝗮𝘁𝗶𝘀𝗳𝗮𝗰𝘁𝗶𝗼𝗻 𝗦𝗰𝗼𝗿𝗲 — Feedback from actual users is gold. ↳ 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 — Can your AI 𝘳𝘦𝘮𝘦𝘮𝘣𝘦𝘳 𝘢𝘯𝘥 𝘳𝘦𝘧𝘦𝘳 to earlier inputs? ↳ 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 — Can it handle volume 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 degrading performance? ↳ 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 — This is key for RAG-based agents. ↳ 𝗔𝗱𝗮𝗽𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗲 — Is your AI learning and improving over time? If you're building or managing AI agents — bookmark this. Whether it's a support bot, GenAI assistant, or a multi-agent system — these are the metrics that will shape real-world success. 𝗗𝗶𝗱 𝗜 𝗺𝗶𝘀𝘀 𝗮𝗻𝘆 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗼𝗻𝗲𝘀 𝘆𝗼𝘂 𝘂𝘀𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀? Let’s make this list even stronger — drop your thoughts 👇