<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>The New Physician: Difficult Problems</title><link>https://newphysician.org/difficult-problems/</link><description>Public Difficult Problems from The New Physician.</description><item><title>The Day I Realized I Didn’t Want My Old Life Back</title><link>https://newphysician.org/difficult-problems/episode/the-day-i-realized-i-didn-t-want-my-old-life-back-JK3AhJ-S1MU/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/the-day-i-realized-i-didn-t-want-my-old-life-back-JK3AhJ-S1MU/</guid><pubDate>Wed, 09 Sep 2026 10:45:08 GMT</pubDate><description>For 25 years, I was an emergency physician. Then came divorce, federal prison, and an abrupt separation from the medical world I had built my identity around.

For a while, I thought the goal was to get everything back.

Then I realized something surprising: I didn’t want all of it back.

At almost 59, I’m learning that success has much less to do with money, titles, possessions or popularity—and much more to do with how we make other people feel and what we do with the time we have left.

Sometimes bouncing back doesn’t mean rebuilding your old life. Sometimes it means realizing you’ve outgrown it.

My book GROUND, about rebuilding after extreme adversity, is available on Amazon.

— Sonny Saggar
Professional Problem Solver</description></item><item><title>If AI Can Do 80% of Your Job, Why Would I Hire You?</title><link>https://newphysician.org/difficult-problems/episode/if-ai-can-do-80-of-your-job-why-would-i-hire-you-6YjU03tzUKg/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/if-ai-can-do-80-of-your-job-why-would-i-hire-you-6YjU03tzUKg/</guid><pubDate>Tue, 08 Sep 2026 08:00:20 GMT</pubDate><description>If AI can do 80% of the work you currently do, what makes the remaining 20% valuable?

That may be a more useful question than simply asking whether AI is going to take your job.

Early evidence suggests the effects of AI may already be showing up differently for younger workers in highly AI-exposed occupations, particularly through weaker hiring. But that does not necessarily mean human value disappears. It may mean that human value moves.

Judgment. Trust. Persuasion. Understanding the real problem. Knowing when the machine is wrong. Taking responsibility for the outcome.

And if AI can handle much of the routine work, someone who understands both their field and the technology may actually become more productive and more valuable, not less.

In this talk, I explain why I think the better career question is:

What is left of my job after AI takes the easy parts?

Whatever is left may be exactly where your value lies.

I’m Sonny Saggar, professional problem solver. Every day I address a difficult problem in medicine, AI, commercial real estate, business, or beyond.

You can find me at NewPhysician.org, where you can click Discuss a Problem and we can talk about anything you want.

#AI #FutureOfWork #Careers #ArtificialIntelligence #Jobs #Business #ProfessionalProblemSolver #SonnySaggar</description></item><item><title>I Became Four People for Labor Day. That’s the Point.</title><link>https://newphysician.org/difficult-problems/episode/i-became-four-people-for-labor-day-that-s-the-point-Vnh0O_TFXCI/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/i-became-four-people-for-labor-day-that-s-the-point-Vnh0O_TFXCI/</guid><pubDate>Mon, 07 Sep 2026 08:00:20 GMT</pubDate><description>This Labor Day, I found myself thinking about what work is becoming.

AI is not simply eliminating tasks. It is changing where the value sits. Work that used to require teams, specialists, editors, designers, analysts, and production people can increasingly be compressed into tools that one person can use.

And in this video, that idea became very literal.

I’m Sonny Saggar, professional problem solver. Every day I address a difficult problem in medicine, AI, commercial real estate, business, or beyond.

The real question is not just, “Will AI take my job?”

It is:

Which parts of my work are becoming cheap, and which parts of my judgment are becoming more valuable?

That may be the more useful Labor Day question.

You can find me at NewPhysician.org, where you can click Discuss a Problem and we can talk about anything you want.

#LaborDay #AI #FutureOfWork #ArtificialIntelligence #Business #Productivity #ProfessionalProblemSolver #SonnySaggar</description></item><item><title>Who the Hell Is Tommy Hilfiger? The Brand Is the Brand</title><link>https://newphysician.org/difficult-problems/episode/who-the-hell-is-tommy-hilfiger-the-brand-is-the-brand-z51ntaGds-0/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/who-the-hell-is-tommy-hilfiger-the-brand-is-the-brand-z51ntaGds-0/</guid><pubDate>Sun, 06 Sep 2026 16:29:58 GMT</pubDate><description>When I was a teenager, Tommy Hilfiger was everywhere, and I kept wondering: who the hell is Tommy Hilfiger, and why does his name mean anything?

Years later, I realized that question contained a surprisingly useful business lesson.

A brand isn't really a logo, a color scheme, or even a name. A brand is what people have learned to expect when they encounter that name.

In today's talk, I look at how an ordinary name acquires meaning, why personal brands work the same way, and a simple question you can use to define what you want your own name to stand for.

I'm Sonny Saggar, professional problem solver. Every day I address a difficult problem in medicine, AI, commercial real estate, business, or beyond.

Find me at NewPhysician.org and click Discuss a Problem if you'd like to talk through a problem of your own.

#Branding #PersonalBrand #Business #Entrepreneurship #TommyHilfiger #ProfessionalProblemSolver</description></item><item><title>Before You Trust AI, Give It a Referee</title><link>https://newphysician.org/difficult-problems/episode/before-you-trust-ai-give-it-a-referee-eU8uEzFrGOI/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/before-you-trust-ai-give-it-a-referee-eU8uEzFrGOI/</guid><pubDate>Sat, 05 Sep 2026 16:04:11 GMT</pubDate><description>AI can give you a polished, confident answer and still be wrong.

The question is not just whether the AI sounds intelligent. It is:

What checks the work before the answer creates a real consequence?

I think of that check as a referee.

If an AI reads an invoice, the referee might be the purchase order, the receipt, and the arithmetic.

If it answers a policy question, the referee is the current approved policy, not merely a real link to an outdated version.

If it runs a website workflow, the referee may simply be the test: click the button, submit the form, and confirm that the result actually happened.

The important part is not pretending that the referee is perfect.

It is building a process where important outputs can be checked, uncertainty can be escalated, and someone in the business owns the exception.

The operating rule is simple:

Use AI to do the work faster. Give it a referee before you trust the result.</description></item><item><title>I’m Not a Web Designer. So Why Am I Building Websites in an Hour?</title><link>https://newphysician.org/difficult-problems/episode/i-m-not-a-web-designer-so-why-am-i-building-websites-in-an-hour-0mxVpxuNMqk/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/i-m-not-a-web-designer-so-why-am-i-building-websites-in-an-hour-0mxVpxuNMqk/</guid><pubDate>Fri, 04 Sep 2026 19:14:08 GMT</pubDate><description>I never set out to become a web designer.

But people started asking me to build websites, and I realized that AI has completely changed the economics of the work. Tasks that once took a week, or sometimes much longer, can now sometimes be completed in an hour, or even minutes.

The important shift is that the hard part is no longer just technical execution.

The first question should be:

What does this website actually need to accomplish?

Does it need to establish credibility?

Generate an inquiry?

Take a payment?

Collect a submission?

Support an existing customer?

Once that outcome is clear, AI can dramatically accelerate the structure, wording, forms, logic, mobile design, and even much of the work behind the scenes, including deployment, DNS, integrations, and APIs.

But speed is not enough.

AI can build something impressive that still fails to solve the business problem.

The real skill is combining judgment, clear instructions, technical understanding, and AI to get from:

“We need this.”

to:

“Here. It works.”

The bigger lesson goes far beyond websites:

What can you already do that becomes dramatically more valuable when AI removes the slow part?</description></item><item><title>AI Won’t Replace You. Someone Who Knows How to Use It Might.</title><link>https://newphysician.org/difficult-problems/episode/ai-won-t-replace-you-someone-who-knows-how-to-use-it-might-P8lZfuzDaPo/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/ai-won-t-replace-you-someone-who-knows-how-to-use-it-might-P8lZfuzDaPo/</guid><pubDate>Thu, 03 Sep 2026 04:45:19 GMT</pubDate><description>You do not need to become an AI expert.

You need to become exceptionally good at using AI inside something you already understand.

Recently, I have heard the same warning from a construction professional, a physician, several business owners, and others: people who refuse to learn how to use AI risk being left behind.

That does not mean blindly trusting it. Using AI badly, accepting bad answers, and then blaming the technology is not sophistication.

I compare this moment to the early automobile era. The important question eventually stopped being whether cars were perfect. It became whether you knew how to drive one.

At almost 59, after decades in emergency medicine, business, hospitals, and commercial real estate, I am not trying to compete with a 25-year-old software engineer at being 25.

I am combining experience and judgment with a tool that gives both much more leverage.

AI can generate answers quickly. The increasingly valuable skill is knowing which answer matters, which is wrong, which is dangerous, and which one you should actually act on.

The advantage may not belong to the person who knows the most about AI. It may belong to the person who can make AI useful.</description></item><item><title>Your Experts Disagree. Don’t Hire a Third One Yet.</title><link>https://newphysician.org/difficult-problems/episode/your-experts-disagree-don-t-hire-a-third-one-yet-dittUUtwqms/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/your-experts-disagree-don-t-hire-a-third-one-yet-dittUUtwqms/</guid><pubDate>Wed, 02 Sep 2026 15:18:14 GMT</pubDate><description>A difficult case can have tens of thousands of pages, conflicting experts, competing medical explanations, and a client waiting for a decision.

My approach is to stop adding information long enough to identify the real decision, map what is known and disputed, find the hinge fact, stress-test the opposing theory, and only then decide whether another expert, deposition, or piece of evidence is actually needed.

The objective is not another enormous summary.

It is a decision-ready case map.

Sonny Saggar
newphysician.org</description></item><item><title>Rich on Paper, Broke on Tuesday</title><link>https://newphysician.org/difficult-problems/episode/rich-on-paper-broke-on-tuesday-Un5CTUE1QPE/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/rich-on-paper-broke-on-tuesday-Un5CTUE1QPE/</guid><pubDate>Tue, 01 Sep 2026 16:15:37 GMT</pubDate><description>A commercial property can look healthy on paper and still run out of cash.

In this talk, I walk through a simple example: a $5 million building with $3 million of debt, but late rent, an uncertain lease renewal, roof work, taxes coming due, insurance obligations, and a lender payment due Friday.

The key point is simple: equity is not liquidity.

My first move would be to build a 13-week cash map and update it every week. Track what cash is actually coming in, what absolutely has to go out, and what happens if any payment is delayed.

Then separate expenses into three groups: what keeps the property alive, what can potentially be renegotiated, and what can wait.

Before missing a lender payment, have the conversation early. Bring the cash picture, the collection plan, and a specific request.

Finally, determine whether the problem is temporary timing or something structural.

Then make the call: hold and fix, restructure or refinance, recapitalize, or sell.

The lesson: you can be rich on the balance sheet and broke on Tuesday.</description></item><item><title>Your Project Is 6 Months Late. Do You Fix It, Replace It, or Kill It?</title><link>https://newphysician.org/difficult-problems/episode/your-project-is-6-months-late-do-you-fix-it-replace-it-or-kill-it-k7s6GuOfRO0/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/your-project-is-6-months-late-do-you-fix-it-replace-it-or-kill-it-k7s6GuOfRO0/</guid><pubDate>Sun, 30 Aug 2026 14:57:37 GMT</pubDate><description>A project is months late, over budget, and everyone keeps saying it is “almost there.”

What do you do when you have 48 hours to decide whether to keep funding it?

Use a simple framework:

STOP
Freeze new commitments long enough to stop throwing money at the problem automatically.

SEE
Find out what is actually true. What was promised? What was delivered? What has already been spent? What still has to be spent? Is the problem technical, leadership, scope, vendor, or strategy?

Then ask the uncomfortable question:

If we were starting from scratch today, would we still choose to fund this project?

RESET
Within 48 hours, make a real decision:

Continue with a new stepwise plan, milestones, clear ownership, and kill criteria.

Replace the leader, vendor, or execution model if the project still makes sense but delivery is the bottleneck.

Stop if the economics or strategic reason for the project no longer holds.

The key rule:

Past spending is not a reason to spend the next dollar.

And the first 48 hours are not about fixing the project.

They are about deciding whether the project still deserves to be fixed.

Sonny Saggar, MD
Professional Problem Solver
NewPhysician.org</description></item><item><title>Don’t Let AI Make You Fast at Being Wrong</title><link>https://newphysician.org/difficult-problems/episode/don-t-let-ai-make-you-fast-at-being-wrong-tVpZf8p_71g/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/don-t-let-ai-make-you-fast-at-being-wrong-tVpZf8p_71g/</guid><pubDate>Sun, 30 Aug 2026 11:00:06 GMT</pubDate><description>AI can make a new hire much faster before they have the judgment to know whether the output is any good.

The rule is simple:

LEARN → EARN → LEVERAGE

Learn the job. Earn the judgment to catch bad AI output. Then use AI aggressively to multiply what you can do.

AI should multiply competence, not replace it.

Sonny Saggar, MD
Professional Problem Solver
NewPhysician.org</description></item><item><title>AI Can Make You Fast Before It Makes You Good</title><link>https://newphysician.org/difficult-problems/episode/ai-can-make-you-fast-before-it-makes-you-good-AA-nuAv3ui8/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/ai-can-make-you-fast-before-it-makes-you-good-AA-nuAv3ui8/</guid><pubDate>Sat, 29 Aug 2026 13:48:17 GMT</pubDate><description>AI can make a new employee dramatically faster before they have developed the judgment to know whether the output is actually good.

Andrew Wang, CEO and co-founder of Valon, has taken a deliberately cautious approach: new hires first learn the job, then earn more freedom to delegate work to AI once they can recognize bad outputs, catch mistakes, and know when human judgment is still required.

The framework is simple:

LEARN
Understand the job, what good looks like, where mistakes happen, and what the important exceptions are.

EARN
Show that you can judge the output, catch errors, and know when to stop and escalate.

LEVERAGE
Then use AI aggressively for research, comparison, summarizing, drafting, automation, and other work where it can multiply your effectiveness.

This is not an anti-AI argument. It is a management argument.

AI should multiply competence, not replace the need to develop it.

There is also a business case: powerful AI models can be expensive, and using them indiscriminately for basic work can waste both money and compute.

Learn the work. Earn the judgment. Then leverage the machine.

Sonny Saggar, MD
Professional Problem Solver
NewPhysician.org</description></item><item><title>Are Documents the Real AI Bottleneck</title><link>https://newphysician.org/difficult-problems/episode/are-documents-the-real-ai-bottleneck-Ea2SQPi_R90/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/are-documents-the-real-ai-bottleneck-Ea2SQPi_R90/</guid><pubDate>Fri, 28 Aug 2026 21:00:29 GMT</pubDate><description>We are wasting a ton of money and energy on stuff that is unnecessary. If we change the documents we use to more intelligent documents, we won't need as many data centers!</description></item><item><title>Maybe AI Isn’t the Bottleneck. Maybe the Document Is.</title><link>https://newphysician.org/difficult-problems/episode/maybe-ai-isn-t-the-bottleneck-maybe-the-document-is-fnb8KQKhYM8/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/maybe-ai-isn-t-the-bottleneck-maybe-the-document-is-fnb8KQKhYM8/</guid><pubDate>Fri, 28 Aug 2026 16:36:12 GMT</pubDate><description>We are spending enormous amounts of money making AI more powerful, then handing it documents that were never designed for machines to understand.

This episode argues that the real bottleneck may not be AI at all. It may be the document format.

PDFs are excellent at preserving how something looks, but they often do not reliably carry the meaning underneath the page. A machine may see text, numbers, and boxes without inherently knowing:

this is a diagnosis
this number is revenue
this one is EBITDA
this clause creates an obligation
this is the final approved version
this statement came from this source

That means humans and machines repeatedly have to reconstruct meaning that could have been built into the document itself.

The talk asks a simple question:

Instead of endlessly teaching smarter machines to interpret yesterday’s documents, should we build a better document?

That is the idea behind Universal Document, an open, vendor-neutral standard intended to make documents simultaneously human-readable, machine-understandable, traceable, verifiable, and portable across systems.

The goal is not another proprietary document platform. It is an open foundation that governments, businesses, developers, and software vendors can all build around.

Sometimes the problem is not the workflow. It is the substrate underneath it.

NewPhysician.org</description></item><item><title>A Second Career for Physicians: Expert Witness Work Without Quitting Medicine</title><link>https://newphysician.org/difficult-problems/episode/a-second-career-for-physicians-expert-witness-work-without-quitting-medicine-Nb988XU20XA/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/a-second-career-for-physicians-expert-witness-work-without-quitting-medicine-Nb988XU20XA/</guid><pubDate>Thu, 27 Aug 2026 20:24:08 GMT</pubDate><description>You do not have to leave medicine to create a second professional lane.

Today's episode explains how physicians can use the judgment they have spent years developing in a different setting: expert witness work.

Modern clinical practice often rewards throughput, documentation, inbox management, checkboxes, call coverage, and administrative compliance. Expert work can reward something different: the ability to review complex records, identify what matters, explain it clearly, and give an independent opinion.

The key is independence.

The lawyer retains you. The truth employs you.

Expert witness work should never mean selling an opinion or becoming a hired gun. It means applying the same standard whether you are working for a plaintiff or a defense team, staying within your expertise, and being willing to say, “I don’t know.”

This can begin quietly. You can join an expert network, create a profile, set your rates and interests, and then go back to your normal work. Nothing may happen for months. Then the right matter may appear, and you decide whether to accept it.

I also explain why I built HIVE MedicoLegal around that idea: free to join, private by default, CV-assisted profile creation, you set your own rates, no HIVE commission, and no obligation to accept a matter.

You do not have to quit medicine.

You can simply create optionality.

Your expertise is valuable. Your independence is priceless.</description></item><item><title>When Smart Executives Disagree, Find the Assumption</title><link>https://newphysician.org/difficult-problems/episode/when-smart-executives-disagree-find-the-assumption-dV503fjS94U/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/when-smart-executives-disagree-find-the-assumption-dV503fjS94U/</guid><pubDate>Thu, 27 Aug 2026 00:30:02 GMT</pubDate><description>CFO says cut. Sales says spend. Who do you believe? Find the decision variable. Full talk on The New Physician.</description></item><item><title>When Smart Leaders Disagree, Find the Variable</title><link>https://newphysician.org/difficult-problems/episode/when-smart-leaders-disagree-find-the-variable-G0DdF5F_rIo/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/when-smart-leaders-disagree-find-the-variable-G0DdF5F_rIo/</guid><pubDate>Wed, 26 Aug 2026 16:24:36 GMT</pubDate><description>This Loom addresses how a CEO should handle a disagreement between the CFO and the head of sales about cutting spending during a bad quarter. Instead of picking a side, the CEO should identify the decision variable by asking what fact would make each person correct, such as cash runway, conversion rate, gross margin, customer acquisition cost, or the sales cycle and payment lag. The discussion contrasts scenarios where there are 16 weeks of cash left versus only six weeks, showing how timing can settle the argument even if both executives are smart. The key is to agree on the scoreboard before funding decisions and make disagreement useful without humiliating either side.</description></item><item><title>A Fast No Can Save You 3 Months</title><link>https://newphysician.org/difficult-problems/episode/a-fast-no-can-save-you-3-months-SpohslOeO4k/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/a-fast-no-can-save-you-3-months-SpohslOeO4k/</guid><pubDate>Tue, 25 Aug 2026 16:52:39 GMT</pubDate><description>In serious business negotiations, a clear no today can be far more valuable than a vague maybe that drags on for three months.

The practical approach is simple:

Name the other side’s risk.
Show that you understand what they are worried about before it becomes an argument.

Say the hard thing early.
Be polite, professional, and direct about the issue that could kill the deal.

Ask the real question.
“Given those risks, is there still a structure here you would seriously consider?”

If the answer is no, that is useful information. You may have just saved weeks or months of wasted effort.

The goal is not to win another meeting. It is to find out whether there is actually a deal worth pursuing.

This is the kind of problem-solving I focus on at NewPhysician.org, including restructuring, turnaround, complex operations, negotiation, and special situations.

Sonny Saggar, MD
Professional Problem Solver
Fractional Chief Transformation &amp; Operations Officer

If you have a difficult business problem, visit NewPhysician.org and click Discuss a Difficult Problem.</description></item><item><title>Say the Hard Thing Early: How to Stop Wasting Months on a Bad Deal</title><link>https://newphysician.org/difficult-problems/episode/say-the-hard-thing-early-how-to-stop-wasting-months-on-a-bad-deal-AZ3UiCtu57Y/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/say-the-hard-thing-early-how-to-stop-wasting-months-on-a-bad-deal-AZ3UiCtu57Y/</guid><pubDate>Tue, 25 Aug 2026 16:46:14 GMT</pubDate><description>In serious business negotiations, avoiding the uncomfortable issue rarely makes it disappear. It usually just wastes time.

In this talk, Sonny Saggar explains a simple four-part framework for restructuring, turnaround, investment, acquisition, and other high-stakes discussions:

WANT
Understand what each side actually wants, not just the polite version.

RISK
Name the other side’s concerns before they become an argument. If leverage, timing, control, downside, or execution risk is obvious, say it out loud.

ASK
Ask the hard question early: given those risks, is there still a structure here that you would seriously consider?

DECIDE
If there is a path forward, define the next step. If there is not, find out now instead of spending weeks or months pretending there might be.

The point is not to be blunt for the sake of being blunt. Forthrightness means being polite, professional, firm, and clear enough that both sides know whether there is actually a deal worth pursuing.

A fast no can be valuable.

Sometimes what looks like a disappointing meeting is actually three months of your life handed back to you.

WANT. RISK. ASK. DECIDE.

Sonny Saggar, MD
Professional Problem Solver
NewPhysician.org</description></item><item><title>Revenue Is Down 20%. What Should the CEO Do First?</title><link>https://newphysician.org/difficult-problems/episode/revenue-is-down-20-what-should-the-ceo-do-first-GPn8UFd-zwc/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/revenue-is-down-20-what-should-the-ceo-do-first-GPn8UFd-zwc/</guid><pubDate>Sun, 23 Aug 2026 17:37:06 GMT</pubDate><description>Revenue is down 20%. The CFO wants cuts. Sales wants more investment. Operations warns that cutting too deeply could break service.

The wrong move is to react to the symptom before diagnosing the cause.

This Loom shows a simple executive decision process:

SYMPTOM → CAUSE → BOTTLENECK → ACTION

First, ask what actually changed. Is the decline coming from lower volume, weaker pricing, delayed collections, lost customers, margin compression, seasonality, or a deeper structural problem?

Then ask whether the problem is temporary or structural.

Next, identify what is actually dangerous. Is the real threat cash flow, debt service, margin, churn, collections, or operating capacity?

Finally, find the bottleneck. Do not attack every visible problem at once, and do not make blunt 20% cuts simply because revenue is down 20%.

The key lesson is simple:

A brilliant solution to the wrong problem is still the wrong solution.

Good executive decisions are not about moving fastest. They are about identifying the real problem, understanding what is controlling the outcome, and acting with discipline.</description></item><item><title>Stop Wasting Job Applications: Verify, Match, Reach</title><link>https://newphysician.org/difficult-problems/episode/stop-wasting-job-applications-verify-match-reach-Ni7QCcnE7ck/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/stop-wasting-job-applications-verify-match-reach-Ni7QCcnE7ck/</guid><pubDate>Sat, 22 Aug 2026 19:27:32 GMT</pubDate><description>Most people track how many jobs they apply for. A better question is: how far does each application actually get?

This Loom gives you a simple three-step system:

VERIFY
Before applying, spend 60 seconds on the employer’s own careers site. Confirm the exact vacancy is still live, the location is correct, and the Apply button actually works. If the page says “job not found,” redirects to a generic careers page, or the application is closed, stop.

MATCH
Spend two minutes checking the real hard requirements: license, degree, location, security clearance, experience, and any other must-haves. Then make your CV clearly show why you fit this specific role instead of sending the same generic résumé everywhere.

REACH
After applying, try to find one real person connected to the role: a recruiter, hiring manager, team leader, employee, or mutual contact. A short human introduction can help keep you from disappearing into the application system.

Then track only four numbers:

Verified live jobs
Applications sent
Human conversations
Interviews

The goal is not to send more applications. It is to find where your job-search funnel is breaking and fix that exact stage.

Verify. Match. Reach. Then measure what happens.</description></item><item><title>Will AI Take Your Job? Ask These 3 Questions</title><link>https://newphysician.org/difficult-problems/episode/will-ai-take-your-job-ask-these-3-questions-kSr9mnyEVqs/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/will-ai-take-your-job-ask-these-3-questions-kSr9mnyEVqs/</guid><pubDate>Fri, 21 Aug 2026 16:13:15 GMT</pubDate><description>Will AI take your job? Maybe that is the wrong question.

Most jobs are really bundles of tasks. A better way to think about AI is to look at the work you actually do and ask three questions:

1. Can AI do this?
Routine drafting, summarizing, searching, comparing, basic reporting, and some administrative work are already becoming easier to automate.

2. Can AI help me do this?
Research, planning, analysis, first drafts, and decision support can often become much faster and better with AI beside you.

3. Does a human still need to own this?
Judgment, trust, persuasion, relationships, leadership, ethical decisions, difficult conversations, and responsibility for the outcome still matter enormously.

The practical lesson is simple: do not just ask whether AI will replace your profession. Break your job into tasks, see which ones AI can handle, which ones it can amplify, and which ones still require human ownership.

AI attacks tasks before it replaces whole jobs.

Sonny Saggar, MD
Professional Problem Solver
NewPhysician.org</description></item><item><title>AI Gives You 20 Answers. Paper Makes You Pick One.</title><link>https://newphysician.org/difficult-problems/episode/ai-gives-you-20-answers-paper-makes-you-pick-one-f7FYR6KPiD4/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/ai-gives-you-20-answers-paper-makes-you-pick-one-f7FYR6KPiD4/</guid><pubDate>Fri, 21 Aug 2026 14:30:24 GMT</pubDate><description>AI can give you twenty answers in ten seconds.

But that isn’t the hard part anymore.

The hard part is deciding which one matters.

My rule is simple:

Use AI to expand. Then take a piece of paper, write your top three priorities, circle one, and do that one first.

AI gives you more. Paper helps you decide.</description></item><item><title>Stop Trying to Save Everything: The Turnaround Rule for Business and Real Estate</title><link>https://newphysician.org/difficult-problems/episode/stop-trying-to-save-everything-the-turnaround-rule-for-business-and-real-estate-Eit-a42Xsx4/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/stop-trying-to-save-everything-the-turnaround-rule-for-business-and-real-estate-Eit-a42Xsx4/</guid><pubDate>Thu, 20 Aug 2026 14:41:06 GMT</pubDate><description>When a business or property is in trouble, the instinct is often to save everything. That can be exactly the wrong move.

The better question is simple:

If I were seeing this business or building for the first time today, would I still choose this plan?

Use three buckets:

SAVE what still has genuine value.
FIX what has a realistic path back, with a deadline.
LET GO of what keeps consuming cash, time, attention and energy without a believable payoff.

Past spending is already gone. Emotion does not make bad economics better. And sometimes trying to save everything is what destroys the part that was actually worth saving.

The mantra is simple:

Let it go.

Sonny Saggar, MD
Professional Problem Solver
NewPhysician.org</description></item><item><title>AI Gives You More. Paper Helps You Decide.</title><link>https://newphysician.org/difficult-problems/episode/ai-gives-you-more-paper-helps-you-decide-igF5yYHsZ8U/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/ai-gives-you-more-paper-helps-you-decide-igF5yYHsZ8U/</guid><pubDate>Wed, 19 Aug 2026 13:55:50 GMT</pubDate><description>AI is brilliant at expanding your options. It can research, summarize, compare, brainstorm, and give you twenty possible ways forward in seconds.

But eventually, somebody still has to decide what actually matters.

In this Daily Tiny Talk, Sonny Saggar explains a simple rule:

Use AI to expand. Use paper to decide.

AI helps generate possibilities. A blank sheet of paper forces you to narrow the field, choose your top three priorities, circle one, and act.

The point is not paper versus AI. It is choosing the right tool for the problem.

Sometimes you need artificial intelligence to digest fifty pages in thirty seconds.

Sometimes you need one blank page and one question:

What actually matters here?

This idea also connects to Sonny’s forthcoming book, Don’t Fear the Machine, about using AI as a powerful tool without surrendering human judgment.

NewPhysician.org
Sonny Saggar, MD
Professional Problem Solver</description></item><item><title>Bread, Butter &amp; Jam: Why Real Estate Can Make You Rich on Paper and Cash-Poor</title><link>https://newphysician.org/difficult-problems/episode/bread-butter-jam-why-real-estate-can-make-you-rich-on-paper-and-cash-poor-b-ParLVGADw/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/bread-butter-jam-why-real-estate-can-make-you-rich-on-paper-and-cash-poor-b-ParLVGADw/</guid><pubDate>Tue, 18 Aug 2026 19:25:30 GMT</pubDate><description>Commercial real estate can make you wealthy on paper while leaving you surprisingly short of cash.

In this talk, I introduce a simple framework for understanding what your real estate is actually doing for you:

Bread is the dependable cash you need to fund everyday life.
Butter is the cash your properties can safely distribute after debt service, taxes, insurance, maintenance, capital needs and sensible reserves.
Jam is the upside: appreciation, refinancing, profitable sales and other windfalls.

Then there is a second test. Every property is currently a Feeder, Floater or Eater. A Feeder sends you cash. A Floater supports itself. An Eater consumes cash.

The key rule is simple: plan ordinary life as though Jam equals zero. And if you own an Eater, put it on a clock. Know why you are carrying it, what needs to change, by when, and what you will do if it doesn't.

Because in commercial real estate, you can have plenty of equity and still have a cash-flow bottleneck.

This framework is also the basis of my forthcoming book, Bread, Butter &amp; Jam: Why Commercial Real Estate Can Make You Rich on Paper and Broke in Real Life.

Sonny Saggar | Professional Problem Solver
newphysician.org</description></item><item><title>AI Isn’t Killing the Career Ladder. It’s Moving the First Rung.</title><link>https://newphysician.org/difficult-problems/episode/ai-isn-t-killing-the-career-ladder-it-s-moving-the-first-rung-j2ePzoYuj4o/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/ai-isn-t-killing-the-career-ladder-it-s-moving-the-first-rung-j2ePzoYuj4o/</guid><pubDate>Tue, 18 Aug 2026 00:08:34 GMT</pubDate><description>AI may not eliminate the career ladder. It may simply move the first rung.

Much of traditional entry-level work involved drafting, summarizing, formatting, researching and other repetitive tasks. AI can now do a lot of that work.

So the harder question is: How does a beginner become experienced if much of the beginner work disappears?

My argument is that apprenticeship has to change. The valuable beginner will increasingly be someone who can use AI, supervise it, challenge it, catch its mistakes and apply the judgment needed to decide whether the final answer is actually any good.

That matters in law, programming, analysis and almost every knowledge profession.

I also briefly discuss this idea in the context of my forthcoming book, Don’t Fear the Machine.

Sonny Saggar, MD
Professional Problem Solver
newphysician.org</description></item><item><title>What To Do When Your Tribe Tells You Who You're Supposed to Be</title><link>https://newphysician.org/difficult-problems/episode/what-to-do-when-your-tribe-tells-you-who-you-re-supposed-to-be-IOdq6YCpzM8/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/what-to-do-when-your-tribe-tells-you-who-you-re-supposed-to-be-IOdq6YCpzM8/</guid><pubDate>Sun, 16 Aug 2026 15:09:36 GMT</pubDate><description>This episode began with a question brought to me by an investment manager of Indian origin: what do you actually owe the racial, cultural, religious, or social group you happened to be born into?

The immediate spark was the phrase “race traitor.” But the problem is much broader.

Families, cultures, religions, political movements and communities can sometimes move from:

“This is who we are”

to:

“Therefore, this is who you are allowed to be.”

So what do you do when that happens?

I use a practical six-step test:

1. Identify the exact claim.
What are you supposedly required to do?

2. Ask where the authority comes from.
Is there a law, promise, contract, reciprocal duty or voluntary commitment, or merely an expectation?

3. Separate preference from obligation.
Someone can strongly hope you make a particular choice without having the right to make it for you.

4. Run the Rawls test.
Would you still accept the rule if you did not know which race, religion, class or family you would be born into?

5. Decide what you actually owe.
Separate what you inherited from what you value and from the obligations you genuinely possess.

6. Set the boundary.
You can respect your family, culture and community without surrendering a decision that properly belongs to you.

I draw on my own life, from being born in India and growing up in Britain to becoming an American citizen, marrying a white American woman, and more recently experiencing federal prosecution, conviction and imprisonment. That last experience taught me something unusually concrete about authority: real authority normally has an identifiable source.

Law, promises, contracts, parenthood, marriage, citizenship and voluntary commitments can create genuine obligations.

Ancestry alone does not automatically acquire jurisdiction over your conscience.

So who gets to decide who you are allowed to become?

You do.

Inheritance is not ownership.

I'm Sonny Saggar, MD, Professional Problem Solver.

Bring me the difficult problem.

Written companion: Traitor to Whom? on Medium.</description></item><item><title>Commercial Loan Maturing? Your 5-Step Owner Playbook</title><link>https://newphysician.org/difficult-problems/episode/commercial-loan-maturing-your-5-step-owner-playbook-FBanIL536Jc/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/commercial-loan-maturing-your-5-step-owner-playbook-FBanIL536Jc/</guid><pubDate>Sat, 15 Aug 2026 17:39:50 GMT</pubDate><description>Commercial loan coming due? Don’t wait for the bank to tell you that you have a problem.

Roughly $875 billion in commercial and multifamily mortgage debt is scheduled to mature in 2026. In this episode, I walk through five practical steps owners can take before a refinance becomes a crisis:

1. Get the numbers — calculate the refinance gap.
2. Stress-test the loan — see whether the property’s income can support today’s financing.
3. Shop — a refinance is a new loan, not an automatic renewal.
4. Improve — strengthen the income, occupancy, expenses, delinquencies and records lenders actually underwrite.
5. Negotiate — compare refinancing, extensions, amendments, paydowns, new equity, restructuring or sale.

I also explain NOI, DSCR and the refinance gap in plain English.

The key lesson:

The maturity date is not the problem. Discovering the refinance gap too late is the problem.

I’m Sonny Saggar, MD, Professional Problem Solver.
Bring me the difficult problem.

newphysician.org</description></item><item><title>HOA Can They Really Do That Short</title><link>https://newphysician.org/difficult-problems/episode/hoa-can-they-really-do-that-short-ZYT3LlJkYYI/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/hoa-can-they-really-do-that-short-ZYT3LlJkYYI/</guid><pubDate>Sat, 15 Aug 2026 05:00:21 GMT</pubDate><description>Can your HOA really do that?
In an HOA dispute, start with authority, process, evidence, and remedy.
A rulebook is not a blank check.

Full episode: newphysician.org

Sonny Saggar, MD | Professional Problem Solver</description></item><item><title>When Your HOA Goes Rogue: Can They Really Do That?</title><link>https://newphysician.org/difficult-problems/episode/when-your-hoa-goes-rogue-can-they-really-do-that-0lrJIoHbYFg/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/when-your-hoa-goes-rogue-can-they-really-do-that-0lrJIoHbYFg/</guid><pubDate>Fri, 14 Aug 2026 14:23:37 GMT</pubDate><description>What do you do when the organization enforcing the rules appears to stop following the rules itself?

In this episode, Sonny Saggar, MD, Professional Problem Solver, breaks an HOA dispute down into four questions:

Authority. Process. Evidence. Remedy.

Where does the HOA’s claimed power actually come from? Did it follow the required process? What evidence supports its position? And what is the least expensive effective way to resolve the dispute?

The key is to move away from accusations and toward documents, dates, photographs, emails, meeting minutes, governing provisions, and other evidence that can be independently reviewed.

A rulebook is not a blank check.

Authority is not the same thing as unlimited authority.

Adjectives don’t solve problems. Documents do.

HOA procedures and homeowner rights vary by jurisdiction and governing documents, so any specific notice or cure period must be checked against the rules that actually apply.

Learn more or discuss a difficult problem at newphysician.org.</description></item><item><title>Where Good People Create Bad Systems</title><link>https://newphysician.org/difficult-problems/episode/where-good-people-create-bad-systems-p6H0w2oC2As/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/where-good-people-create-bad-systems-p6H0w2oC2As/</guid><pubDate>Thu, 13 Aug 2026 12:38:51 GMT</pubDate><description>Some of the most dangerous failures in organizations happen not within departments, but between them.

Medicine learned this with structured handoffs such as SBAR. Aviation learned it with explicit, acknowledged transfers of responsibility. In both cases, the lesson is the same: sending information is not the same as transferring ownership.

This episode introduces a simple four-question handoff test:

What crosses the boundary? Who owns it before the handoff? Who explicitly accepts it afterward? How do we know the transfer worked?

Read-backs, checklists, reconciliation, and observable tests can expose failures before they become expensive.

The most expensive failures often happen between specialties. When everyone owns their piece but nobody owns the whole, the system effectively has no owner.

I’m Sonny Saggar, MD. Bring me the difficult problem.

newphysician.org</description></item><item><title>Sometimes the Business Isn’t Broken  The Financing Is</title><link>https://newphysician.org/difficult-problems/episode/sometimes-the-business-isn-t-broken-the-financing-is-dWWZGYbui84/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/episode/sometimes-the-business-isn-t-broken-the-financing-is-dWWZGYbui84/</guid><pubDate>Wed, 12 Aug 2026 15:53:14 GMT</pubDate><description>Sometimes the Business Isn’t Broken. The Financing Is.

A business can be running out of cash without having a broken business model.

In this episode, Sonny Saggar, MD uses an emergency medicine analogy to explain financial distress in plain English.

A patient in shock has to be stabilized first. But shock is a condition, not the diagnosis.

A distressed business can be similar. Payroll is due. Lenders want payment. Vendors need cash. The company may be unable to meet its immediate obligations.

But that does not necessarily mean the underlying business is bad.

The framework is simple:

STABILIZE
DIAGNOSE
RECAPITALIZE
REBUILD

First, stabilize the company long enough to understand what is actually wrong.

That may mean buying time through a liability management exercise, often called an LME. It can include things like PIK interest, extending the maturity of a loan, changing or waiving loan covenants, refinancing, or negotiating with creditors.

Then diagnose the real problem.

Is the company fundamentally losing money?

Is it carrying too much debt?

Is it profitable but short of cash?

Is cash trapped in receivables, inventory, or real estate?

Did one event create a temporary liquidity crisis?

Or is it some combination of these?

If the underlying business deserves to survive, the next step may be recapitalization. That simply means giving the company a financing structure it can actually support.

That might include restructuring or replacing debt, a creditor accepting a haircut, converting debt into equity, bringing in new equity, selling the company to a better capitalized owner, or unlocking cash that is already trapped inside the business.

Some of the terminology sounds complicated, but the ideas are actually quite simple.

PIK interest means the company does not pay all of the interest in cash today. Instead, some or all of that interest is added to the amount it owes.

A maturity extension means the lender agrees to move the repayment deadline further into the future.

A covenant amendment or waiver means the lender relaxes or changes one of the rules attached to the loan.

A haircut means a creditor agrees to accept less than the full amount originally owed.

Refinancing means replacing existing financing with new financing that may fit the business better.

A debt to equity swap means exchanging some debt for ownership in the company.

A sale leaseback means selling owned real estate to generate cash, then leasing the property back so the business can continue operating there.

Accounts receivable financing or factoring means turning invoices that will be paid later into cash sooner.

DIP financing means debtor in possession financing. It is new financing that may be used to help a company continue operating during a Chapter 11 restructuring.

But financing alone cannot repair an unhealthy operation.

If a company is losing money every month, adding more money without changing operations may simply finance those losses for longer.

That is the business equivalent of giving more pressors while ignoring an uncontrolled hemorrhage.

Margins may have to improve.

Pricing may have to change.

Costs may have to fall.

Inventory may need to move faster.

Operations may need to be redesigned.

A longer runway is not a turnaround.

The objective of restructuring is not necessarily to preserve every piece of the old financing or ownership structure.

It is to identify and preserve the part of the enterprise that still deserves to live.

Sometimes the business isn’t broken.

The financing is.

Sonny Saggar, MD
Strategic Problem-Solving Consultant

Bring me the difficult problem.

If you are dealing with a difficult problem in medicine, healthcare, business, systems, or institutions, visit newphysician.org and choose Discuss a Problem.</description></item><item><title>Help Vaccine Hesitant Parents:  Trust, Listen, Recommend, Make It Easy</title><link>https://newphysician.org/difficult-problems/vaccine-trust/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/vaccine-trust/</guid><pubDate>Tue, 11 Aug 2026 16:30:10 GMT</pubDate><description>How do we help parents who are unsure about vaccinating their children?

I use a four-part approach: trust, listen, recommend, and make it easy.

According to the CDC’s August 7, 2026 update, the U.S. had 2,465 confirmed measles cases through August 6, with 94% occurring as part of outbreaks — clusters of at least three related cases.

The harder problem is not simply presenting more facts. It is understanding what a parent is actually worried about, addressing that concern honestly, making a clear recommendation, and removing practical barriers to vaccination.

I also discuss common concerns about vaccines and autism, how to respond without turning the conversation into an argument, and why sometimes the solution is not better persuasion — it is making the right action easier.

Today’s Difficult Problem: one difficult problem at a time across medicine, AI, business, systems, and beyond.

Sources:
CDC — Measles Cases and Outbreaks, updated August 7, 2026
CDC — Talking with Parents about Vaccines
CDC — Questions About Measles, April 29, 2026
WHO Global Advisory Committee on Vaccine Safety — Vaccines and Autism, December 11, 2025

newphysician.org</description></item><item><title>The Biggest AI Mistake Smart People Make</title><link>https://newphysician.org/difficult-problems/ai-confidence-reliability/</link><guid isPermaLink="true">https://newphysician.org/difficult-problems/ai-confidence-reliability/</guid><pubDate>Mon, 10 Aug 2026 23:35:31 GMT</pubDate><description>What is the biggest mistake smart people make when using AI?

AI can make us dramatically faster, but faster thinking is not necessarily better thinking.

In this video, I discuss three ideas:

• AI is an amplifier, not a substitute for thinking.

• As answers become easier to obtain, human judgment becomes more valuable.

• AI works best as a thinking partner, not a replacement for our own thinking.

The important question is not simply whether AI can give us an answer. It is whether we are asking the right question, whether the answer makes sense, and whether we should act on it.

I'm Sonny Saggar, a physician, author, researcher and problem solver.

Bring me the difficult problem.

If you are dealing with a difficult problem in medicine, AI, business or beyond, visit newphysician.org and choose &quot;Discuss a Matter.&quot;

#ArtificialIntelligence #AI #CriticalThinking</description></item></channel></rss>
