Most hiring processes obsess over the wrong things. Do they know our project management software? Are they proficient in this specific tool? Meanwhile, the one capability that actually determines whether someone will make your life easier or harder—their ability to solve problems independently—gets a cursory “are you a good problem solver?” question that everyone answers with “yes.”

In this episode, Chip and Gini break down why problem-solving ability should be the primary hiring criterion, especially as AI makes technical skills easier to acquire and offload. The conversation explores why this matters more now than ever: as AI handles tactical execution, the ability to define problems clearly, break them into components, and figure out solutions becomes the differentiator between humans who add value and humans who get replaced.

Chip and Gini discuss how problem-solving cuts across every role, even ones you don’t typically think of as problem-solving positions. Designers facing impossible deadlines, account people navigating last-minute client demands, anyone dealing with the reality that things rarely go according to plan. They all need to be able to figure out how to move forward rather than escalating every obstacle upward.

The episode tackles the mechanics of actually interviewing for this capability. You can’t just ask “are you a good problem solver?”—you need scenario-based questions that reveal how candidates think through challenges. But not hypothetical scenarios you make up; real situations that have happened in your agency. Ask them to walk through how they’ve handled compressed timelines, missing information, conflicting priorities, or last-minute changes in past roles.

Gini shares how her daughter’s school explicitly focuses on humanities and emotional intelligence rather than technical skills, anticipating that AI will reshape what jobs exist. She connects this to Anthropic’s hiring practice of seeking people with humanities degrees who can absorb information, think critically, and demonstrate emotional intelligence rather than just technical proficiency.

The episode concludes with an important reminder: if you hire problem solvers but then micromanage how they solve problems, you’ve wasted the hire. You need to let them solve things their way, even if it’s different from how you’d do it, or you’ll end up with everything back on your plate anyway. [read the transcript]

The post ALP 299: Hire people who understand how to solve problems appeared first on FIR Podcast Network.

Most agency owners have read Built to Sell. But many have internalized the wrong lesson from it—fixating on that final chapter where the protagonist drives off into the sunset with a pile of cash, rather than the actual business-building advice throughout the book. The result is owners spending years building businesses optimized for a sale that may never happen, or that won’t deliver the outcome they’re imagining.

In this episode, Chip and Gini discuss Chip’s “Build to Own” philosophy as a counterpoint to the built-to-sell mindset. The core principle: focus on creating a business that serves you today, not some hypothetical buyer tomorrow. This doesn’t mean you can’t or won’t sell—it means you stop treating the sale as the primary objective and start treating ownership as the thing you’re optimizing for right now.

Chip breaks down the TMRW framework for thinking about what you want from your business: Time (how much you spend and what flexibility you have), Meaning (what gives you satisfaction—clients, team, impact), Rewards (financial outcomes that fund your life today and tomorrow), and Work (the actual role you’re crafting for yourself). Gini shares her decision to retire from speaking despite conventional wisdom saying agency owners should be out there raising their profile—because the anxiety wasn’t worth the marginal business benefit.

The conversation tackles the uncomfortable reality that most agency owners counting on a sale to fund their retirement are likely building businesses that won’t command the multiple they’re hoping for. Meanwhile, owners who build businesses that throw off enough cash to fund retirement directly—while also being enjoyable to run—end up with something far more attractive to buyers when and if they do decide to sell.

Gini tells the story of a friend who prepared five years in advance for a sale: removing himself from day-to-day operations, hiring a president to build culture, ensuring the business wasn’t founder-dependent. The result? An 18x multiple. But the episode’s point isn’t “here’s how to get a great sale”—it’s that you should make every decision through the lens of “would I still be happy with this if I never sold?” [read the transcript]

The post ALP 298: Build the business you want to own, not the one you hope to sell appeared first on FIR Podcast Network.

S4 Capital has announced a revolutionary new pricing model that will transform how agencies charge for their services: instead of billable hours, they’re moving to… subscriptions. Fixed monthly fees. Annual contracts that auto-renew. All costs absorbed into the price rather than passed through as variables.

You know, retainers. The pricing model most independent agencies have used for decades.

In this episode (somewhat abbreviated due to Gini’s technical difficulties), Chip and Gini dissect the holding company’s “brilliant innovation” with the appropriate level of sarcasm, then pivot to the more interesting question buried in the announcement: how should agencies price around AI? The conversation moves from eye-rolling at repackaged retainer models to wrestling with legitimate uncertainty about how AI costs will evolve and what that means for agency pricing strategies.

Chip points out that we only know what AI costs today, and it’s likely those costs will rise as platforms realize they’re replacing expensive labor and can charge accordingly. This creates a pricing puzzle—do you transparently pass through AI costs, absorb them into your general cost of doing business, or find some middle ground? Gini shares how she’s handling questions from college students about whether jobs will exist when they graduate, explaining that the work itself is shifting from doing to orchestrating, from creating to editing and refining AI outputs.

The discussion highlights the difference between cosmetic changes (calling retainers “subscriptions”) and substantive challenges (figuring out sustainable pricing as AI capabilities and costs both increase). They land on the principle that AI costs should be factored into your total cost of doing business rather than line-itemized separately, giving you flexibility to adapt as the landscape shifts without locking yourself into specific cost structures that may not hold.

The subtext throughout is that holding companies remain out of touch with how most agencies actually operate, still discovering “innovations” that the rest of the industry implemented years ago. [read the transcript]

The post ALP 297: Holding companies discover retainers, call them “subscriptions” appeared first on FIR Podcast Network.