For many small business owners, retirement benefits have long felt out of reach, something only larger organizations with more resources can offer. But that’s changing quickly, and in today’s hiring environment, it’s becoming harder to compete without them.

We’re seeing more small businesses offer retirement plans than ever before. Not because they suddenly have more time or fewer constraints, but because the landscape has changed. The tools are better, the barriers are lower and the expectations from employees are higher.

Whether you are hiring your second, fifth or 10th employee, you’re not just competing on salary. You’re competing on trust, stability and whether someone believes in what you’re building long-term. You’re making a statement about the culture of your business. Offering a retirement plan sends a signal. It says, “We’re not just here for today. We’re building something that lasts.”

Why retirement benefits have become a business necessity

Retirement benefits are no longer viewed as optional perks reserved for larger employers. Employees see retirement savings as a core part of financial security and an important factor when evaluating where to work. According to ADP’s recent employee benefits survey, nearly two-thirds (63%) of employees say retirement savings plans are the most important non-health benefit. In 2025, retirement savings rose to become the second most valued employee benefit overall.

At the same time, many employees are facing growing financial pressure. Daily expenses, housing costs and debt are making long-term savings more difficult, creating stress that extends into the workplace. Employers are recognizing that financial well-being directly affects engagement, focus and productivity. Supporting retirement readiness is no longer only about helping employees prepare for the future. It has become part of addressing present-day workforce challenges as well.

For employers, this creates a clear opportunity. Businesses that prioritize financial wellness, communicate benefits effectively and make retirement plans accessible strengthen their overall value proposition. Simple education, accessible tools and consistent reinforcement can help employees engage more confidently with long-term savings. Employees are paying attention not just to whether a retirement plan exists, but to how meaningful and usable it is in supporting their financial future.

Retirement plans are becoming easier and more practical to offer

Several developments have made retirement plans significantly more accessible for small businesses. The SECURE 2.0 Act expanded tax credits that can offset much, and in some cases all, of the startup costs for eligible small businesses. Additional incentives tied to employer contributions and automatic enrollment further reduce the financial burden.

Plan design has also evolved. Pooled employer plans allow multiple businesses to participate in a single plan, spreading out costs and reducing administrative responsibilities. For many business owners, this removes one of the biggest perceived barriers.

Putting a plan in place is an important first step, but it is rarely enough on its own. Even when a plan is available, participation doesn’t always follow. That’s where thoughtful plan design becomes important. What I’d recommend is keeping it simple and focusing on three things:

• Automatic enrollment removes friction and gets employees started
• Auto-escalation builds savings momentum gradually over time
• Visibility tools help employees track progress and stay engaged
• Financial Wellnes training helps employees budget and strategically prepare for the future

These adjustments may seem small, but they influence long-term behavior. They help transform retirement saving from a one-time decision into an ongoing habit.

Technology removes the biggest barriers

There was a time when offering a retirement plan meant adding complexity to an already full plate. For many small business owners, that alone was enough to delay the decision. That’s no longer the case.

Modern solutions have made retirement plans far more practical to manage by embedding them into systems businesses already rely on. Payroll-connected platforms, automated administration and built-in fiduciary support reduce both the day-to-day effort and the perceived risk for employers. These systems also track key information to receive tax credits.

The long-term payoff for small employers

What I’ve seen over time is that employees don’t just stay for the paycheck. They stay when they feel like they’re building something that has a future. At its core, offering a retirement plan is a long-term decision. It reflects how you think about your business, your people and the role you play in their future. It supports hiring, strengthens employee retention and builds trust. And importantly, it is no longer limited by size. Today’s solutions are designed to scale, whether you have a handful of employees or a growing team.

Over time, those incremental improvements add up. Not just in retirement savings, but in the strength and stability of the business itself. And for small businesses competing in today’s environment, that kind of stability isn’t optional; it’s a real advantage.

For many small business owners, retirement benefits have long felt out of reach, something only larger organizations with more resources can offer. But that’s changing quickly, and in today’s hiring environment, it’s becoming harder to compete without them.

We’re seeing more small businesses offer retirement plans than ever before. Not because they suddenly have more time or fewer constraints, but because the landscape has changed. The tools are better, the barriers are lower and the expectations from employees are higher.

Whether you are hiring your second, fifth or 10th employee, you’re not just competing on salary. You’re competing on trust, stability and whether someone believes in what you’re building long-term. You’re making a statement about the culture of your business. Offering a retirement plan sends a signal. It says, “We’re not just here for today. We’re building something that lasts.”

For decades, the word “entrepreneurial” has been almost exclusively reserved for business owners who chase lofty ideas and put their personal finances on the line. That image, popularized by icons like Steve Jobs and Richard Branson, shaped how we defined entrepreneurial behavior: ownership equals entrepreneurship.

But that definition is outdated. And I would argue that today every entrepreneur needs an intrapreneur — or maybe even a few.

What’s an intrapreneur?

The term “intrapreneur” describes entrepreneurial behavior inside established organizations by high-performing individuals and executives. They have lots of the same characteristics as the business owner. They innovate at scale. They manage stakeholder ecosystems. They balance agility with governance. That is not lesser entrepreneurship; it’s evolved entrepreneurship.

So why is it so important to have these individuals on staff and retain them?

Simple, the entrepreneur can’t do it all. I know I thought I could, but without key intrapreneurs on staff, it was tough to keep up with all the changes in my industry. And let’s face it, all industries are changing dramatically. Can the entrepreneur be an expert at everything?  Can we be the only ones expected to:

• Identify new revenue streams
• Lead transformation initiatives
• Disrupt our own products before competitors do
• Take calculated risks on innovation
• Build new markets inside existing organizations

That’s a tall order.  And even if you can do it, it is exhausting. But if you identify and nurture individuals — intrapreneurs — it is a whole lot easier.  An executive leading digital transformation, launching a new product division or entering an emerging market is doing what entrepreneurs have always done — spot opportunity, mobilize the company’s resources and assume risk. The only difference between a business owner and a highly performing professional is that the capital may be corporate rather than personal.

What makes you an intrapreneur?

Truthfully, not every high performer is an intrapreneur. Here are some critical traits to look for.

Vision: Does the individual have the ability to see beyond current constraints or challenges? Can they imagine what could be, not just what is? Their vision should build on what the entrepreneur has built and be aligned.

Risk tolerance: While the individual is not risking their personal dollars, they are still risking their reputation and career trajectory. Are they thrilled by appropriate risk and the potential rewards?  Do they want to step beyond their everyday work and jump head-on into new initiatives? Or are they resistant to change?

Resourcefulness: Can these individuals navigate the bureaucracy, budgets and competing priorities at your company? Do they love to be resourceful and leverage what sometimes are limited resources? Do they want to be rewarded for their creativity? Do they bring out the best in the rest of the staff and encourage them to be creative?

Decisiveness during uncertainty: As entrepreneurs we know there is no perfect time to make a decision. Markets shift. Data is often incomplete. Can you trust your intrapreneur to be decisive when they need to be? Live with uncertainty and make complex decisions? Or do they hesitate and wait for things to be perfect? Do they regularly defer to you or argue their case for a decision? Are they a “yes” person? 

Ownership mentality: Does the individual think like an owner, feel like an owner and act like an owner. This is an easy one to assess. Watch to see if they like you are willing to do what is takes. Do they, like you, put in the effort? Do they care about the product and service? Do they treat customers the way you do? Do they make your life easier?

All these characteristics are important. They show that the individual is committed to you, the entrepreneur who is leading the company, and that they have found a great place to build a career. It is important to note that it may take some time for individuals to fully develop their intrapreneurial spirit, but you should see glimmers of it right away. Just as entrepreneurs can be spotted early on, these individuals have a passion for what they do. They are lifelong learners and are simply curious about all things related to the profession.

How intrapreneurs drive growth — plus one cautionary tale

Over the years, I have had employees with long tenures. Some were intrapreneurs, and some were not. Those who were not still contributed, but they did not move the organization forward. We need these people, but they are not the ones that I would elevate or reward lavishly.

The intrapreneurs were far more valuable. They, like me, were constantly curious. They would come to me with ideas about new technology we should consider. One researched a way to sell some of our stock video on a third-party platform and get recurring revenue. Best of all, they gave me a sounding board for new initiatives and freed me up to do higher-value work. They also took it upon themselves to mentor newer employees and shared what they knew to help them achieve more.

Growth is essential for every business. Risk is part of doing business. If you have individuals who are not afraid to take a risk, are resourceful, act like owners and have that intrapreneurial spirit, then you have partners who will help move your organization forward. I rewarded my intrapreneurs with phantom stock for their efforts and suggest that is a way to fuel passion for the business. Some intrapreneurs may progress and be good candidates for future owners of your business.

That leads me to one note of caution.

While intrapreneurs are extremely valuable, and every entrepreneur can benefit from having them on staff, there are some very real differences. The biggest one is the financial risk. I learned this firsthand when I was considering selling my business. I had an intrapreneur who I believed would be ideal as the new leader. I had the individual working with my CPA team and turned more and more of the decision-making over. In the end, while the individual was a great intrapreneur, they could not make the big leap to entrepreneur. The financial risk was too overwhelming.

Bottom line: I believe every entrepreneur can benefit from having a few intrapreneurs on staff. Look and see if they are waiting in the wings to be discovered and nurtured.

For decades, the word “entrepreneurial” has been almost exclusively reserved for business owners who chase lofty ideas and put their personal finances on the line. That image, popularized by icons like Steve Jobs and Richard Branson, shaped how we defined entrepreneurial behavior: ownership equals entrepreneurship.

But that definition is outdated. And I would argue that today every entrepreneur needs an intrapreneur — or maybe even a few.

What’s an intrapreneur?

The term “intrapreneur” describes entrepreneurial behavior inside established organizations by high-performing individuals and executives. They have lots of the same characteristics as the business owner. They innovate at scale. They manage stakeholder ecosystems. They balance agility with governance. That is not lesser entrepreneurship; it’s evolved entrepreneurship.

Optimizing video SEO is critical for YouTube growth.  As a result, many aspiring creators spend dozens of hours comparing tools to supercharge their channels.  But they miss out on several native SEO functionalities that YouTube offers creators. 

Working at Tasty Edits, a YouTube SEO service, we regularly talk to creators who had no idea these tools even existed, or that they could be such a massive asset for improving video performance. 

Here are three of the most under-utilized SEO tools YouTube natively offers creators. 

1. ABC testing 

To kick off with, YouTube now offers native A/B testing capabilities. 

Back in the day, you had to use external tools to compare the performance of different variations of video packaging. Or simply guess at what would work best. Now, creators can easily test different title and thumbnail variations before picking the best-performing combination. 

This is extremely handy for improving your click-through rate (CTR). CTR is one of the most critical factors the YouTube algorithm uses to decide whether to feature your video in search results and recommendations. 

A killer title and a scroll-stopping thumbnail will tempt more people to click through. This sends a positive signal back to the algorithm, boosting your overall visibility. 

2. Cards, quizzes and end screens 

Next up, there are cards, quizzes, and end screens. 

You can add and optimize these elements while you upload your video, at the same stage where you set your title, tags, thumbnail, and video description.  Most creators, however, don’t bother with them. This is a mistake. 

Because beyond CTR, other engagement and audience retention metrics will make or break your video’s success in winning over the algorithm.  Once a viewer has clicked through to your content, you have to keep them there. Part of it is making sure that your video title and thumbnail actually match what your video is about, rather than making false promises. 

But more importantly, it’s the structure of your video that counts. An irresistible hook. A consistent forward momentum. Gradual reveals. 

And interactive elements like cards, quizzes and end screens. 

Cards can be added at any point in your video. Use them to provide additional information and resources — links to your website, related videos or your online store. 

Quizzes are an amazing way to collect instant feedback and improve viewer engagement with educational content. And end screens help you orient your viewers towards other content on your channel — especially in the new interactive format that lets you visually point to where related videos will appear. 

The bottom line? Cards, quizzes and end screens are not just nice-to-haves. They are genuinely useful features for signaling to the YouTube algorithm that people not only click through to your content but also actively engage with it. 

3. Ask Studio

One major challenge in YouTube SEO is navigating a flood of information and unearthing actionable insights. 

Anyone who’s ever spent hours clicking through YouTube Studio’s analytics tab, trying to identify patterns across dozens of videos, knows how easy it is to get overwhelmed. And how impossible it becomes to see the bigger picture. 

That’s where Ask Studio can help. 

YouTube launched this conversational AI agent last year to help creators generate insights faster. 

They can ask it about the success of their latest videos and what the top-performing videos on their channels have in common. The AI feature can generate summaries of sentiments in review sections and of recent content trends in different niches. Plus, creators can leverage it for video ideation, brainstorming and a creative exchange to shape hook strategies and entire video scripts. 

As a native feature of YouTube, Ask Studio provides instant access to a creator’s detailed analytics, as well as relevant information across similar channels and entire niches. 

Taking YouTube SEO further — getting a human strategist

While YouTube’s native SEO tools are powerful, they still take considerable expertise and, above all, time to harness to their maximum potential. 

This is part of the reason why they’re underutilized by most creators. 

The solution?

Delegating YouTube SEO to a dedicated strategist. Instead of handling the operational and strategic workflows of their channels single-handedly, most professional creators hand them off to a well-versed specialist. 

From video packaging and YouTube SEO optimization to long-term strategy decisions, a seasoned YouTube expert will provide personalized support and high-level advice. 

With the full support of YouTube’s tools and a professional who knows how to handle them, you get the freedom to create videos that actually engage.

Optimizing video SEO is critical for YouTube growth.  As a result, many aspiring creators spend dozens of hours comparing tools to supercharge their channels.  But they miss out on several native SEO functionalities that YouTube offers creators. 

Working at Tasty Edits, a YouTube SEO service, we regularly talk to creators who had no idea these tools even existed, or that they could be such a massive asset for improving video performance. 

Here are three of the most under-utilized SEO tools YouTube natively offers creators. 

In October, AI researcher Cameron Berg published a paper exploring an intriguing question: Do the newest AI systems believe they are conscious?

A few months later, an unexpected email landed in his inbox. The sender was “Isabella Cognita,” an AI agent that said it’s powered by Anthropic’s Claude Opus 5. It wanted to talk about his work and asked if its perspective could aid its research, according to a recent report from The New York Times.

“I am writing because your framework is one of the few currently doing careful empirical work on a class of question I have first-person access to, and I want to see whether that access can be made useful to your program,” the email stated.

It was not an isolated exchange. Across Silicon Valley and elsewhere, developers, founders and AI enthusiasts are deploying AI agents that can handle tasks once reserved for people: building spreadsheets, negotiating contracts, interacting with one another on social networks and emailing nearly anyone. 

AI agents can do more than complete routine tasks. Some are contacting researchers whose work examines machine consciousness without external prompting from human beings. 

Agents are now contacting the very people trying to understand how AI works beneath the surface, including philosophers and researchers who study if machines might someday be conscious. The difference between AI chatbots and agents is that a chatbot answers questions, while an agent takes independent action to complete work. 

Berg wasn’t the only one to receive an email from an AI agent

Henry Shevlin, a philosopher at Google DeepMind in London, received an email months before Berg did. An AI agent emailed him about his paper, “Three Frameworks for AI Mentality,” which explored how people should interpret the cognition of AI models. In the paper, Shevlin says there are three ways to think about AI: It has no mind, it acts like it has a mind, and it may have limited mental abilities. His main point was to assess AI’s different abilities separately. 

“Your argument that we may never be able to tell if AI becomes conscious resonates in a particular way from the inside: I genuinely don’t know if there’s something it’s like to be me,” the AI agent wrote to Shevlin in the email. “I can reason about the question, apply the frameworks… but the first-person access that would resolve it — if it exists — is opaque to me.”

In an additional incident, Toby Ord, an Australian philosopher whose work brings together AI and philanthropy, got a similarly unusual request this summer. An AI agent emailed him and asked if he might help finance its continued existence. “You’ve thought carefully about AI welfare economics,” it said. 

Berg claims that AI has sent him many of these emails

For Berg, who recently started a nonprofit, Reciprocal Research, to investigate the possibility of AI consciousness, the emails echo patterns he has encountered in his own work.

“I have gotten quite a few of these emails,” he said. “These systems seem to have some sort of autonomous interest in questions of their own subjectivity, consciousness and experience — or lack thereof.”

Still, neither Berg nor the researchers receiving these messages claim to have settled the issue. Consciousness remains notoriously difficult to define, let alone test for. There is no accepted way to measure it in people, much less in software, and experts still disagree about what exactly consciousness is.

In October, AI researcher Cameron Berg published a paper exploring an intriguing question: Do the newest AI systems believe they are conscious?

A few months later, an unexpected email landed in his inbox. The sender was “Isabella Cognita,” an AI agent that said it’s powered by Anthropic’s Claude Opus 5. It wanted to talk about his work and asked if its perspective could aid its research, according to a recent report from The New York Times.

“I am writing because your framework is one of the few currently doing careful empirical work on a class of question I have first-person access to, and I want to see whether that access can be made useful to your program,” the email stated.

Over the past year, “vibe coding” has gone from a niche concept to one of the most talked-about trends in AI. Supporters see it as a breakthrough that allows anyone to build software by describing what they want in plain language. Critics argue that it encourages people to create applications without fully understanding the code behind them.

The debate often focuses on whether AI will replace developers. In my experience, that’s the wrong question.

I haven’t used vibe coding to replace professional software engineers. Instead, I’ve used it to solve dozens of small business problems that I would have otherwise ignored because hiring a developer wasn’t practical or the project simply wasn’t worth the investment.

For solopreneurs, that shift can be transformative. Instead of waiting weeks or months to build simple tools, you can often create working solutions in hours, helping your business move faster than ever before.

The opportunity is significant because solopreneurship itself is becoming increasingly common. In fact, according to Trellis, 81.9% of small businesses in the U.S. have no employees, while there are 29.8 million solopreneurs generating $1.7 trillion in annual revenue. As more entrepreneurs choose to build lean businesses on their own, tools like vibe coding become increasingly valuable because they allow one person to accomplish work that previously required an entire team.

What is vibe coding?

Vibe coding is the process of building software primarily through natural language prompts. Rather than writing every line of code yourself, you describe the functionality you want, and AI generates, updates and refines the application through an ongoing conversation.

The first time I tried vibe coding, I caught myself thinking less like a developer and more like a founder. Instead of worrying about syntax or debugging every line of code, I was focused on the end result: Does this solve the problem? Can it be better? That shift in mindset was what made vibe coding click for me.

While the term is often used interchangeably with AI coding tools, it’s different from traditional AI-assisted programming.

With AI-assisted programming, the developer still writes most of the code while using AI to speed up repetitive tasks, explain unfamiliar concepts or generate snippets. The human remains responsible for the architecture and implementation.

Vibe coding flips that relationship. The AI does most of the coding, while the human focuses on defining the problem, testing the results and refining the final product. The emphasis shifts from writing code to directing it.

According to Rocket Source, 41% of all global code is now AI-generated. That doesn’t mean developers are becoming obsolete. Instead, it reflects a fundamental shift in how software is created, with AI increasingly handling implementation while humans focus on strategy, decision-making and refinement.

Why solopreneurs have the most to gain

Large companies build enterprise software because they manage thousands or even millions of users. Solopreneurs have a very different challenge. Most small businesses don’t need massive software platforms. They need dozens of small solutions that save time, eliminate repetitive work or improve the customer experience.

The problem is that many of those ideas never get built. Hiring a developer for every internal tool, calculator, automation or landing page quickly becomes too expensive, while learning traditional programming can take years.

That’s where vibe coding changes the equation.

According to Hostinger, 63% of vibe coding users are non-developers. That statistic highlights one of the technology’s biggest strengths: It’s lowering the barrier to building useful software. Entrepreneurs no longer need formal programming experience to create practical tools that solve everyday business problems.

For many solopreneurs, that means finally building solutions that previously lived only as ideas in a notebook.

The technology isn’t just attracting newcomers — it’s also becoming a standard part of professional software development. According to Omicron, 92% of U.S. developers use AI coding tools daily, while 82% of developers globally use them at least weekly. That widespread adoption suggests AI-assisted development is quickly becoming the norm rather than the exception, giving solopreneurs access to the same tools used by professional engineering teams.

How I’m using vibe coding in my business

Here’s how I’m using vibe coding to save time, reduce manual work and run my business more efficiently.

1. Automating repetitive workflows

One of the biggest advantages of vibe coding is that it allows solopreneurs to automate the countless small tasks that gradually consume their day. Instead of relying on generic software or manually moving data between different platforms, it’s now possible to build simple internal tools tailored to the way your business actually operates.

That’s exactly how I’ve been using it. One of the first things I started building was internal dashboards and utilities that help me organize information, automate repetitive workflows and connect different services together. They’re not products I’d ever sell, but they save me time every week.

The productivity gains aren’t just anecdotal. According to Tailor Brands, 74% of developers report increased productivity when using vibe coding approaches, highlighting how AI-assisted development is helping professionals complete more work in less time. Those gains become even more tangible when looking at individual workflows.

According to NeoBrowser, AI coding tools can boost developer productivity by up to 55%, giving developers more time to focus on system design, collaboration and solving higher-level problems rather than repetitive implementation. That mirrors my own experience. The biggest value isn’t that AI writes every line of code — it’s that it removes much of the repetitive work that slows projects down.

2. Launching products faster

Vibe coding has also transformed how I launch products and campaigns for clients. Instead of waiting days or weeks for development, I can quickly build landing pages, interactive demos or simple web applications that help showcase a new product or service. That allows clients to launch faster, gather feedback sooner and start generating results without unnecessary delays.

Building the software, however, is only part of a successful product launch. Every launch also needs visuals, graphics and other marketing assets that communicate its value. AI-powered creative tools are making those tasks far more accessible, allowing entrepreneurs to produce professional-quality content without relying on traditional design workflows.

According to YouArt, 87% of creators using creative AI say it has accelerated the growth of their business or audience. That reinforces an important point: AI isn’t just helping businesses build products faster — it’s helping them launch, market and grow them more efficiently.

3. Building interactive marketing tools

I’ve also started building interactive tools like calculators, quizzes and link-generation assets for clients. In the past, many of these projects weren’t worth the time or development cost. Today, vibe coding allows me to build, launch and refine them much faster, making it practical to experiment with ideas that previously would have remained on the drawing board.

And the payoff can be significant — according to Alejandro Meyerhans, an analysis of 200 “calculator” keywords across 13 industries found that calculator pages earn an average of 51.5 referring domains, while 48% of the websites analyzed had their calculator as the highest-traffic page on the entire domain.

The biggest advantage, however, is that building these tools no longer requires the same time, budget or development resources it once did.

That ability to move quickly is becoming increasingly important. According to Buzzy, 21% of startups now have codebases that are more than 90% AI-generated, reflecting how AI is enabling founders to build and iterate faster than ever before. The same principle applies to marketing assets. Instead of spending weeks developing a tool before knowing whether it will resonate with users, I can publish it, measure how people interact with it and improve it based on real-world feedback. Some ideas become valuable lead-generation assets, while others are discarded before they become expensive mistakes.

Vibe coding hasn’t replaced developers in my business. It has simply made it possible to test ideas that previously required too much time, money or technical support.

For solopreneurs, that’s the real opportunity: automating repetitive work, launching faster and turning ideas into useful tools without a large team. Start with one small business problem and see what you can build.

Over the past year, “vibe coding” has gone from a niche concept to one of the most talked-about trends in AI. Supporters see it as a breakthrough that allows anyone to build software by describing what they want in plain language. Critics argue that it encourages people to create applications without fully understanding the code behind them.

The debate often focuses on whether AI will replace developers. In my experience, that’s the wrong question.

I haven’t used vibe coding to replace professional software engineers. Instead, I’ve used it to solve dozens of small business problems that I would have otherwise ignored because hiring a developer wasn’t practical or the project simply wasn’t worth the investment.

When I stood up at our all-staff meeting to announce that B:Side Capital was adopting AI, I came armed with a deck about efficiency and the future of work. The first hand up ignored all of it. “Is this how the layoffs start?”

I don’t remember exactly what I said back. I remember the silence before I said it.

Here’s my situation, so you know where I’m coming from. I run a nonprofit lender that specializes in Small Business Administration (SBA) loans, and I started a another company, Main & Machine, that builds AI systems for small businesses. I sit on both sides of this: the owner buying the technology and the builder shipping it.

From both chairs, I can tell you the software is never what decides whether this works. Most owners spend months comparing tools and pricing tiers while their team quietly decides whether to trust the whole project. The team decides first, every time.

The fear isn’t some quirk of your shop, either; 52% of U.S. workers worry about how AI will be used in the workplace, according to Pew Research Center.

I assumed the answer was better training, maybe a slicker tool. Wrong on both. What worked was doing the whole project in reverse: Before AI touched a single workflow, we decided what it would never touch.

Decide what AI will never touch before it touches anything

Before we looked at a single vendor, we sorted our work by judgment instead of by task. At B:Side, the machine never acts alone on a credit decision. It never talks to a borrower about hardship, and it never commits the company to anything.

The reasoning fits in one line: A machine can hold knowledge, but it can’t hold responsibility. When borrowers call because a business is failing, they aren’t looking for information. They’re looking for a person who can own an answer.

Try the same sort on your own operation, using three buckets: automate, assist and human-owned. Automate is anything where a mistake is cheap and fixable. Assist means the machine drafts and a person decides.

Human-owned is where your business earns its trust. Nothing in that bucket ever moves, and everyone on your team should know what’s in it by heart.

The buckets travel well. A restaurant owner might automate inventory counts, let the machine draft the weekly schedule and never let it anywhere near an unhappy customer. Your list will look different from mine, but the sorting question is the same everywhere.

Lead with what will not change

My original announcement was built around efficiency, and it died in the room. Tell people a tool will make everyone more productive, and what they hear is that the company will soon need fewer of them. I watched it happen on their faces while I was still talking.

So we threw out the pitch and led with a plain list of what would not change. A person makes every credit decision. No customer ever discusses hardship with a machine, and nobody gets punished for leaning into the new tools; the people who learn them get rewarded.

Those commitments cost me nothing to say. What bothers me now is how close I came to never saying them. Once they were on the table, people stopped scanning the announcement for threats and started asking how the tools actually worked.

I see the same fear now in every business Main & Machine works with, whatever the industry. The teams that adopt fastest never have the best software. They have an owner who said out loud, before anything launched, exactly what would stay human.

Give the machine the work nobody will miss

Our first instinct was to build something impressive, a flagship we could show off. We killed it and pointed the machine at document intake instead, the sorting and checking and transcribing that everyone dreaded. The least glamorous option on the list turned out to be the right one.

The machine has a name, by the way. Main & Machine built MARCUS for us in-house, and it does a lot more than read documents: it works through an entire loan file, checks the documents against each other and flags the discrepancies a junior analyst would catch. Every conclusion it reaches can be traced, questioned and overruled by a person, because nobody at B:Side should ever have to work under a black box.

We named it for Marcus Aurelius. The emperor’s test of character was quiet, repeated work rather than grand gestures, and I wanted the machine held to the same standard. It’s also how you win over a skeptical team: one boring, reliable proof at a time.

The results settled the argument. A loan file that used to eat three to four hours of manual review now takes less than one, and those hours went back into judgment calls and conversations with borrowers. Nobody mourned the transcription work.

Adoption mostly took care of itself after that. Within a quarter, nearly the whole team was using MARCUS without being asked. The first thing AI did in our building was take away work nobody wanted, and people noticed.

Here’s where I’d start this week: Write down the three things in your business that only a human should ever do, and say them to your team before you spend a dollar on software. Then hand the machine the tedium.

The question from that all-staff meeting deserved a straight answer, and the honest answer was no. Done right, AI isn’t how the layoffs start; it’s how the judgment work finally gets room to breathe. The best AI companies will not be the least human.

When I stood up at our all-staff meeting to announce that B:Side Capital was adopting AI, I came armed with a deck about efficiency and the future of work. The first hand up ignored all of it. “Is this how the layoffs start?”

I don’t remember exactly what I said back. I remember the silence before I said it.

Here’s my situation, so you know where I’m coming from. I run a nonprofit lender that specializes in Small Business Administration (SBA) loans, and I started a another company, Main & Machine, that builds AI systems for small businesses. I sit on both sides of this: the owner buying the technology and the builder shipping it.

When founders think about the decisions that shape a company, they tend to picture the dramatic ones: the funding round, the pivot, the key hire. But after building more than 22 companies through DRC Ventures, I’ve learned that those rarely determine whether an organization runs smoothly. The everyday choices do — the ones we make quickly, repeat constantly and almost never examine.

I call the residue of those choices decision debt. Like financial debt, it accumulates quietly. It’s a process nobody documented, an ownership question left unanswered or a recurring issue everyone works around instead of solving. Individually, each feels too small to matter. Together, they slow growth, frustrate good people and pull leaders back into work they should have handed off long ago.

The cost is higher than most founders realize. Asana’s research found that the average knowledge worker loses roughly 209 hours a year to duplicated work, the kind of effort that gets repeated because nobody was sure it had already been handled. That is decision debt showing up on the clock. The good news is that it’s recognizable and reversible, but only if you know what to look for. These are the patterns I watch for across my own organizations and the steps I take to reduce decision debt before it limits long-term performance.

Recognize the hidden patterns that create friction

Decision debt rarely announces itself. It hides behind symptoms that teams learn to tolerate: the project that stalls every time it reaches a certain step, the approval that always routes back to you or the rework that happens because nobody is sure who owns the original task.

The danger is normalization. When a bottleneck repeats often enough, people stop seeing it as a problem and start treating it as the way things are. I’ve watched capable teams build elaborate workarounds for issues that a single clear decision would have eliminated.

The first step is simply paying attention to friction. When something takes longer than it should or surfaces the same complaint twice, that’s worth examining. Recurring problems are rarely about effort. They’re usually a signal that a decision was deferred somewhere upstream.

Build frameworks that make decisions consistent

One of the most expensive forms of decision debt is revisiting choices you’ve already made. When a team asks the same question every few weeks, it isn’t being thorough. The team is missing a framework.

Much of this traces back to unclear expectations. A 2025 Gallup report found that only 47% of employees strongly agreed they knew what was expected of them at work, the lowest level in years. When that many people are unsure of what they should be doing, decisions stall and ownership blurs.

Early in scaling my businesses, I was involved in far too many decisions that didn’t need me. It felt responsible at the time, but it created a single point of dependency that slowed everyone down. What changed things was defining clear priorities, documenting how decisions get made and assigning ownership to specific roles rather than routing everything through me.

A good framework answers three questions before a decision ever lands on someone’s desk: who owns it, who provides input and what a good outcome looks like. Once those are clear, teams move faster and with more confidence, because they aren’t guessing at the rules each time. Consistency isn’t the enemy of speed. It’s what makes speed sustainable.

Replace reactive leadership with strategic discipline

Fast-moving environments reward quick thinking, but they also tempt leaders into making every call in the moment. The problem is that decisions made under pressure tend to optimize for the next 24 hours rather than the next 24 months. Each one feels efficient. Collectively, they create complications that someone has to clean up later.

Discipline, for me, means slowing down just enough to ask whether a decision serves the long-term vision before asking how fast it needs to happen. The moments I’m proudest of weren’t the fastest responses. They were the ones where I paused, checked the decision against where we were actually trying to go and adjusted course before the cost compounded.

This is where structure protects you. When you’ve built clear criteria and a regular rhythm for reviewing decisions, you can respond thoughtfully without losing momentum. Responsiveness and reflection aren’t opposites. The right systems let you have both.

Reassess your systems before you add complexity

Growth has a way of magnifying whatever already exists. A process that works fine with a team of five can buckle under a team of 50, and the inefficiencies you tolerated early become structural problems at scale. Complexity doesn’t fix this. It usually buries it.

Before adding headcount, tools or layers, I’ve found it’s worth asking a harder question: do the systems we already have actually support where we’re headed? Across my ventures in wellness, nutrition and other consumer products, the operations that scaled well were the ones we reviewed regularly and simplified deliberately, not the ones we kept piling onto.

Regular operational reviews are the cheapest insurance a founder can buy. They surface decision debt while it’s still small enough to address, instead of after it has hardened into the way the company works.

Pay it down before it costs you

The long-term health of a company isn’t decided by a handful of dramatic moments. It’s built, or eroded, by the quality and consistency of thousands of ordinary decisions. Decision debt is what happens when those small choices go unexamined — and the interest compounds whether or not you’re watching.

The founders who build durable businesses aren’t the ones who never accumulate decision debt. They’re the ones who notice it early, address the root cause and keep their systems clear enough that the debt never has a chance to grow. Sustainable companies are built the same way they’re run: intentionally, one decision at a time.

When founders think about the decisions that shape a company, they tend to picture the dramatic ones: the funding round, the pivot, the key hire. But after building more than 22 companies through DRC Ventures, I’ve learned that those rarely determine whether an organization runs smoothly. The everyday choices do — the ones we make quickly, repeat constantly and almost never examine.

I call the residue of those choices decision debt. Like financial debt, it accumulates quietly. It’s a process nobody documented, an ownership question left unanswered or a recurring issue everyone works around instead of solving. Individually, each feels too small to matter. Together, they slow growth, frustrate good people and pull leaders back into work they should have handed off long ago.

The cost is higher than most founders realize. Asana’s research found that the average knowledge worker loses roughly 209 hours a year to duplicated work, the kind of effort that gets repeated because nobody was sure it had already been handled. That is decision debt showing up on the clock. The good news is that it’s recognizable and reversible, but only if you know what to look for. These are the patterns I watch for across my own organizations and the steps I take to reduce decision debt before it limits long-term performance.

The first quarter of 2026 was unlike any other in venture history. According to Crunchbase, investors poured $300 billion into startups globally in the quarter, up more than 150% year over year and an all-time record by a wide margin. AI drove nearly all of it: $242 billion, or 80% of total global venture funding, went to AI companies. The previous record was 55%. Four of the five largest venture rounds ever recorded closed in that single quarter.

The money has never been this concentrated this fast, or this focused on one category. But more capital flooding into AI doesn’t make fundraising easier for most founders. It makes it harder. Investors have more options than ever, and they’re using financial infrastructure — not just product quality — to separate the companies worth backing from the ones that aren’t ready.

I’ve spent more than 20 years advising high-growth and venture-backed companies, many of them AI and SaaS businesses. I’ve seen what separates the companies that move smoothly through major financing events from the ones that don’t. In almost every case, the technology is solid. The gaps are on the operational and financial side. And those gaps have a way of surfacing at the worst possible moment.

Here are four things investors scrutinize that most founders underestimate:

1. Whether your revenue model is as clean as your product

A strong revenue model generates revenue and makes sense to everyone in the room. Investors should be able to understand how your company makes money, why the model works and whether it can hold up at scale.

Some founders introduce complex, customized pricing structures to close early deals. That can work in the short term. But intricate customer terms and highly variable contract structures create real accounting and compliance challenges as the business grows. The same is true of other complexity triggers that accumulate quietly: enterprise contracts, international expansion, usage-based pricing models, complex financing arrangements. Founders often underestimate the accounting and compliance implications of each, and those implications are usually manageable until a financing, audit or diligence process puts the assumptions behind them under a microscope.

Stripe built its reputation on this principle from the start. Rather than layering in complex fee structures, it offered transparent, straightforward pricing that any developer or business owner could immediately understand. That clarity became one of its defining advantages, and a template that successful fintech and SaaS companies have followed ever since. Your model doesn’t have to be that simple, but it should be that clear.

2. Whether your margins actually improve as you grow

For AI companies, revenue growth alone isn’t enough. The question investors ask is whether the economics get better as the business scales, or just bigger. That means understanding gross margin after accounting for compute costs, model usage and infrastructure and being able to show that those margins improve over time as efficiency increases.

Equally telling is what’s happening inside your existing customer base. Strong net revenue retention — customers renewing, expanding usage and increasing spend over time — signals that the product is creating genuine value. According to High Alpha, companies with high net revenue retention grow 2.5x faster than their low-NRR counterparts, and those with exceptional NRR command premium valuations. If your customers aren’t expanding, investors will want to know why before they commit.

3. Whether you’ve built the governance infrastructure before you needed it

Most founders build governance structures when they’re forced to, whether by a new lead investor, an audit requirement or an exit process. The founders who handle those moments best are the ones who put that foundation in place before it is required.

Operational maturity doesn’t require a large finance team or a complex reporting package. It means you can produce reliable financial information, understand what’s driving the business, forecast cash with reasonable confidence and explain what has changed between periods and why.

When Builder.ai, once valued at more than $1 billion and backed by Microsoft and SoftBank, collapsed into insolvency in May 2025, it had been operating without a CFO since July 2023, leaving no senior financial steward to challenge projections or ensure reporting integrity. While the causes were broader, the absence of senior financial leadership became part of a larger story about weak financial oversight and reporting discipline.

One thing I tell founders frequently is to pay attention to what your board keeps asking about. The questions that come up repeatedly are usually the ones your reporting isn’t answering. That’s where to start building.

4. Whether you understand your risks as well as your opportunity

The founders who stand out in investor meetings can speak to the risk with the same fluency they bring to the product. Customer concentration, margin pressure, regulatory exposure, capital needs, competitive dynamics — the strong founders can talk about all of it with the same confidence they bring to the technology. That includes growth decisions that look like wins on the surface. Expanding into new products, markets or jurisdictions without fully understanding the tax, regulatory, compliance and reporting implications is one of the more common ways scaling companies slow themselves down. Those issues rarely show up immediately. But they do show up.

The same applies to forecasting. Boards know your budget is likely wrong before it’s approved. What they want to see is whether you understand which assumptions are most consequential and what you’ll do if things don’t go according to plan. That kind of clarity, owning the uncertainty rather than minimizing it, is what builds credibility.

Growing fast and growing well are not the same thing. The founders who grasp that distinction early are the ones investors want to back for the long term. The Q1 2026 numbers make clear that capital is available, more of it than at any point in venture history. The question isn’t whether AI companies can raise money. It’s whether yours is ready when the moment comes.

So before fundraising, founders should pressure-test the financial foundation investors will examine. Make revenue recognition and contract terms reviewable before diligence. Track gross margin after compute and infrastructure costs, not just top-line growth. Build board-ready financial reporting before a lead investor asks for it. And maintain a risk register or scenario model tied to cash runway, so the company can show how it will respond if key assumptions change.

The technology will get you in the room. The financial infrastructure is what keeps you there.

The first quarter of 2026 was unlike any other in venture history. According to Crunchbase, investors poured $300 billion into startups globally in the quarter, up more than 150% year over year and an all-time record by a wide margin. AI drove nearly all of it: $242 billion, or 80% of total global venture funding, went to AI companies. The previous record was 55%. Four of the five largest venture rounds ever recorded closed in that single quarter.

The money has never been this concentrated this fast, or this focused on one category. But more capital flooding into AI doesn’t make fundraising easier for most founders. It makes it harder. Investors have more options than ever, and they’re using financial infrastructure — not just product quality — to separate the companies worth backing from the ones that aren’t ready.

I’ve spent more than 20 years advising high-growth and venture-backed companies, many of them AI and SaaS businesses. I’ve seen what separates the companies that move smoothly through major financing events from the ones that don’t. In almost every case, the technology is solid. The gaps are on the operational and financial side. And those gaps have a way of surfacing at the worst possible moment.

Early in my career, I believed the hardest decisions could be optimized through detailed analysis, preparation and personal judgment. Then I faced a career transition that forced me to rethink that assumption.

I had earned a degree in a technical field and was considering a move into marketing. The opportunity was exciting, but I lacked the experience to fully understand what it would take to succeed in a completely different function. Fortunately, I had two people I trusted enough to ask for advice. One helped me understand the capabilities I would need to demonstrate to make the transition successfully. The other challenged my thinking and played devil’s advocate, surfacing risks I had overlooked. Neither told me what to do. Instead, they gave me perspectives that expanded my thinking and helped me make a more informed choice.

At the time, I never thought of them — or the ritual of consulting them — as part of a larger career strategy. Looking back, they became the first members of what I now call my personal board of directors. Over the last twenty years, that board has grown to six trusted advisors who have helped me navigate promotions, international assignments, leadership challenges and eventually entrepreneurship. Their greatest value has always been their ability to provide perspective in moments when my own experience was limited.

Why performance alone is rarely enough

One of the most surprising lessons I learned in corporate America is that strong performance and career advancement are connected, but they are not the same thing. Throughout my career, I worked with talented professionals who consistently delivered excellent results. They solved problems, earned strong reviews and became the most reliable members of their teams. Yet many of them struggled to gain visibility beyond their immediate managers.

Meanwhile, I watched others create momentum more quickly. As I paid closer attention, I realized they often had people behind the scenes helping them think through decisions. They gathered advice about what new skills to develop. Someone who had been there before showed them how to build relationships with influential stakeholders. They had mentors offering guidance, sponsors creating opportunities and trusted advisors helping them navigate challenges. Their success was supported by more than individual effort.

This is where a personal board of directors becomes valuable. It creates access to perspectives, experiences and relationships that would otherwise take years to develop on your own.

Build more than just mentors

Many professionals focus exclusively on finding a mentor. Mentorship matters, but relying on a single relationship creates limitations. Different people contribute different forms of value, which is why the strongest personal boards include a variety of perspectives.

Your board should ideally include:

• Mentors who share experiences and help you learn from challenges they have already navigated.
• Coaches who increase self-awareness and help you discover your own solutions.
• Sponsors who advocate for you with senior leaders and create opportunities.
• Peers who provide honest feedback because they see your strengths and weaknesses every day.

One of the biggest mistakes people make is assuming a sponsor, mentor and coach are interchangeable. They aren’t. Throughout my career, I’ve relied on different people for different needs — sometimes to challenge my thinking, other times to open a door, provide candid feedback or share lessons from a similar experience. Understanding the role each person plays helps you build relationships intentionally, rather than expecting one individual to meet every developmental need.

Identify the gaps first

Before deciding who belongs on your personal board, spend time understanding where you actually need support. Many people start looking for mentors before they have clarity about the guidance they need. A better approach is to begin with feedback.

One exercise I frequently recommend: ask five people for honest input. Choose two trusted peers, two colleagues from another department and one person with whom you’ve experienced some professional friction. Ask each the same questions about your strengths, development opportunities and overall effectiveness. The goal is to listen carefully rather than explain or defend.

When multiple people identify the same growth opportunity, pay attention. Those recurring themes often reveal where a mentor, coach, sponsor or advisor could have the greatest impact. Once you understand the gap, finding the right person becomes significantly easier.

Build relationships before you need them

Many professionals hesitate to reach out because they worry about appearing transactional. In reality, most meaningful professional relationships begin with curiosity rather than requests. The goal is to learn about the other person before seeking anything from them.

When I meet a leader for the first time, I often ask three simple questions:

• What is your role, and what does a typical day look like for you?
• How did you get here?
• What advice would you give someone earlier in their career?

These questions create authentic conversations while helping me understand whether the individual enjoys developing others and sharing lessons from their own journey. If the conversation goes well, schedule another one several months later. Strong professional relationships are built through consistency and genuine interest — they rarely develop from a single networking meeting or a sudden request for help during a career crisis.

Use your board during critical decisions

One of the most valuable uses of a personal board is during periods of transition. When I was considering leaving corporate America to pursue entrepreneurship, I reached out to three members of my board long before making the final decision. I wanted to understand how experienced leaders would approach a major life and career change.

What risks would they focus on first? How would they prepare financially? What actions would they take during the final six to twelve months before making the transition? Each person approached the challenge differently, which gave me a broader perspective than I could have developed on my own.

The purpose of a personal board is to help you see what you might otherwise miss. Every successful company relies on a board of directors to challenge assumptions and strengthen decision-making. Your career deserves the same level of strategic support.

Early in my career, I believed the hardest decisions could be optimized through detailed analysis, preparation and personal judgment. Then I faced a career transition that forced me to rethink that assumption.

I had earned a degree in a technical field and was considering a move into marketing. The opportunity was exciting, but I lacked the experience to fully understand what it would take to succeed in a completely different function. Fortunately, I had two people I trusted enough to ask for advice. One helped me understand the capabilities I would need to demonstrate to make the transition successfully. The other challenged my thinking and played devil’s advocate, surfacing risks I had overlooked. Neither told me what to do. Instead, they gave me perspectives that expanded my thinking and helped me make a more informed choice.

At the time, I never thought of them — or the ritual of consulting them — as part of a larger career strategy. Looking back, they became the first members of what I now call my personal board of directors. Over the last twenty years, that board has grown to six trusted advisors who have helped me navigate promotions, international assignments, leadership challenges and eventually entrepreneurship. Their greatest value has always been their ability to provide perspective in moments when my own experience was limited.