The article explains how auto insurance protects more than a vehicle by helping drivers safeguard their income, savings, and long-term financial stability.

AUBURN, Ala., Aug. 24, 2026 /PRNewswire/ — What does auto insurance really protect: the vehicle or a driver’s financial future? A new HelloNation article explores this question for drivers seeking a clearer understanding of their coverage. The article features insights from Kathy Powell, Insurance Expert of Auburn, AL. Powell also teaches Risk and Insurance at Auburn University.

The article explains that while many people associate car insurance with vehicle repairs, its true purpose is financial protection. Auto insurance is designed to safeguard income, savings, and long-term financial stability in the event of an accident or unexpected loss. Understanding how each component works helps drivers ensure they are properly protected.

Liability coverage is highlighted as one of the most important features of an auto insurance policy. It pays for injuries or property damage when a policyholder is at fault in an accident. Without sufficient liability coverage, even a minor crash could lead to costly legal claims or significant out-of-pocket expenses.

The article also outlines how collision coverage and comprehensive coverage protect the vehicle itself. Collision coverage pays for damage after an accident, regardless of fault. Comprehensive coverage protects against non-accident events such as theft, fire, vandalism, or severe weather. Together, these coverages help drivers avoid large repair or replacement costs.

Medical payments coverage is another key element discussed in the article. It helps cover medical treatment for the driver and passengers after an accident, regardless of who caused it. Medical costs can add up quickly, making this coverage an important source of financial support during recovery.

Uninsured motorist coverage is also emphasized as essential. This coverage protects drivers when they are involved in an accident with someone who does not have insurance or has insufficient coverage. It can pay for medical expenses and vehicle repairs that would otherwise be the policyholder’s responsibility.

The article encourages drivers in Auburn to review their auto insurance policies regularly. Life changes such as purchasing a new vehicle, adding drivers, or relocating can affect coverage needs. Optional benefits like roadside assistance and rental car coverage may also provide added convenience during unexpected situations.

Overall, the article reinforces that auto insurance is not just about repairing a car. It is a financial safety net that helps drivers manage risk, protect their savings, and maintain stability after accidents or injuries.

“What Is Auto Insurance Really Designed to Protect?” features insights from Kathy Powell, Insurance Expert of Auburn, AL, in HelloNation.

About HelloNation
HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused publications and innovative “edvertising” approach, HelloNation delivers content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities.

View original content to download multimedia:https://www.prnewswire.com/news-releases/insurance-expert-kathy-powell-highlights-what-auto-insurance-is-really-designed-to-protect-in-hellonation-302858653.html

SOURCE HelloNation

Everyone is talking about AI models. Almost nobody is talking about where the money actually goes to keep them running, or the careers sitting inside that layer.

Most AI spending does not go to the model. It goes to the infrastructure underneath it, the compute, storage, networking, security and monitoring required to keep a model running at all. That is where corporate budgets are concentrated, and it is where the hiring follows. Public attention sits on the model. The money sits one layer down.

BOWIE, Md., Aug. 24, 2026 /PRNewswire/ — Every week brings another headline about billions flowing into artificial intelligence. Almost all of that coverage points at the same thing: the models, the chatbots, the demos.

Tayo Lusi, founder of The Apex Institute cloud and AI infrastructure program, says the more useful story is happening underneath, in a layer nobody puts in a headline.

“People think AI spending means someone building a better chatbot,” Tayo said. “Most of that money is not going toward the model. It is going toward the servers, the storage, the security and the systems required just to keep that model running at all.”

What part of AI spending does nobody talk about?

The infrastructure layer. An AI model, however advanced, does not run on its own. Every deployment needs a set of unglamorous things that cost real money:

Compute and storage capacity, at a scale most companies have never run before.Systems that scale up instantly when demand spikes, and back down without burning budget when it does not.Security layers protecting the data moving through the model.Monitoring that catches problems before they become outages.People who know how to build and maintain all of the above.

None of that shows up in a product demo. All of it has to exist before the demo works.

How does that change where the real AI jobs are?

If the money is concentrated in infrastructure, the hiring concentrates there too. That is the pattern showing up now, even while the news cycle is dominated by AI job losses.

Cloud infrastructure, AI systems support and the security work around them are the roles companies keep opening. They are not cutting that spending. They are increasing it, because demand for AI capability keeps outrunning the infrastructure needed to support it.

The U.S. Bureau of Labor Statistics projects continued growth across computer and information technology occupations, with infrastructure and security roles among the areas expected to keep expanding.

“Everyone keeps asking if AI is going to take these jobs,” Tayo said. “It is the opposite. Someone has to build and run the infrastructure all of it sits on, and there are not enough trained people to do it.”

Get the free Cloud Engineering Career Path Roadmap and see which infrastructure skills to learn, and in what order.

Why does public perception point the other way?

Because fear travels faster than budget data. The public conversation about AI is built on job losses, automation and uncertainty. Corporate spending tells a different story.

That gap matters, because people are making career decisions on the wrong half of it. They read the headlines and conclude the safe move is to avoid tech entirely.

The spending points the other way. The steadier place to stand may be inside the exact layer the money is flowing into.

Why are skilled tech workers still missing this?

Because most training, and most career paths, were built around the application layer. That is the part closer to the product or the model, not the infrastructure underneath it. Three things follow from that:

The talent pool for infrastructure roles is smaller than the budgets behind those roles.Those roles sit open for months, which is why they tend to carry premium pay.Experienced engineers keep competing in the crowded layer while the open one goes unfilled.

The gap is not intelligence or effort. It is that nobody told most people which layer to aim at.

What does training built around this layer look like?

It means teaching cloud engineering, DevOps and AI infrastructure directly, rather than the more visible layer closer to the model. That is what The Apex Institute is built around.

Building and running cloud infrastructure that scales under real load.The security and monitoring work that surrounds any production AI system.Producing a project you can defend in an interview, which the free Cloud Project Portfolio Blueprint walks through.Knowing what the role pays before you negotiate, using the free Cloud Engineering Salary Benchmark.

“We are not trying to train people for the part of AI everyone already knows about,” Tayo said. “We are training people for the part the money is actually flowing into, which happens to be the part almost nobody is talking about.”

Students in the program have reported more than $11 million in combined job offers across 41 people. Individual results vary and are not typical.

Is this only happening in the United States?

No. Companies worldwide are making similar infrastructure investments as they adopt AI at scale, so the demand for skilled infrastructure talent is a global trend rather than a regional one.

That connects to a longer term plan for nonprofit initiatives in developing countries, teaching foundational cloud and infrastructure skills to people who have had no access to programs like this. If the spending is global, the chance to build a career from it should not depend on living near a tech hub.

What should you do with this information?

Pick the layer deliberately instead of by accident. If you are already in tech, audit whether your skills sit in the crowded layer or the funded one. If you are outside tech and were talked out of it by headlines, the infrastructure layer is the part the headlines are not describing.

Then build one real thing and learn to explain it. That combination is what gets interviews, not another certificate.

Ready to build a career in the layer the money is going to?

Get the free Cloud Engineering Career Path Roadmap and start with the right skills in the right order.

Book your free career strategy call and find out where you would fit in this layer.

About The Apex Institute

The Apex Institute is an IT career training company that trains working professionals in cloud engineering, DevOps and AI infrastructure, helping them move into the roles employers are struggling to fill as AI adoption accelerates. Students have reported more than $11 million in job offers to date. Individual results vary and are not typical. Learn more at apexedu.io.

Media Contact

Tayo Lusi

contact@apexedu.io

View original content:https://www.prnewswire.com/news-releases/the-apex-institute-breaks-down-where-ai-spending-is-actually-going-in-2026-302858262.html

SOURCE The Apex Institute

The nine to five software job with one employer and one title is quietly becoming the exception. What is replacing it looks very different.

BOWIE, Md., Aug. 24, 2026 /PRNewswire/ — For decades a tech career followed a familiar shape. Get hired, hold a title, climb a ladder inside the same company for years. That shape is breaking apart, and not because people stopped wanting stability.

Tayo Lusi, founder of The Apex Institute cloud engineering program, has watched the shift play out across his students. He says the work did not shrink. It got restructured.

Why did the traditional tech job model break?

Because the economics underneath it changed.

The old model assumed a company needed large permanent staff to build and maintain everything it used.That held when infrastructure was expensive, slow to build and needed constant in house attention.Cloud computing changed the math. A much smaller group can now build, scale and maintain the same systems.Outside specialists get brought in per project instead of added as permanent headcount.

Companies did not abandon full time roles out of preference. The economics moved and hiring followed.

What is replacing the traditional tech job?

Project and contract based infrastructure work. A skilled engineer solves one specific, high value problem for a company, then moves to the next.

“People hear contract work and think it sounds less stable,” Tayo said. “In cloud and infrastructure right now it is often the opposite. Companies pay a premium for someone who can walk in, solve a specific problem and walk out, because that is faster and cheaper than a long hiring process for a full time role.”

This mirrors a broader economic shift toward project based work. Tech is simply the clearest example, because the skill is in short enough supply that companies will buy it in whatever structure moves fastest. The U.S. Bureau of Labor Statistics projects continued growth across computer and information technology occupations through the decade, with the sharpest demand around infrastructure and security.

How does this change the way you have to think?

It blurs the line between employee and business owner. A traditional employee waits for a role to open and applies. Someone working in the newer model has to understand what problem they solve, describe it clearly, and find the companies that need it.

That shift is uncomfortable, because the old model never asked for it. It is becoming required now.

Get the free Cloud Engineering Career Path Roadmap and see what to learn, in what order, for the market as it works today.

Is this disruption or opportunity?

Both, depending on the skill set you bring to it.

Under the old model, pay moved once a year at whatever your employer decided. In a project based market, what you earn tracks more closely to the value you can demonstrate and how many companies need it at that moment. That can cut in either direction, and it rewards people who can prove their work. Across the program, students have reported more than $11 million in combined job offers among 41 people. Individual results vary and are not typical.

The catch is that this structure rewards different skills than the old one. Technical ability alone is not enough. Explaining what you do in terms a business will pay for matters as much as the technical work. The free Cloud Engineering Salary Benchmark helps you work out what your skills are worth, and the free Tech Salary Negotiation Scripts cover holding that number in the conversation.

How should you train for the tech job market that is actually here?

A program that only teaches technical skill is preparing you for a market that is shrinking. Training for the growing one means adding three things.

Proof of work. Documented projects with a clear before and after, which the free Cloud Project Portfolio Blueprint walks through.Communication. Describing what you built in language a business understands.Operating like an independent professional, not only an applicant.

That is the gap The Apex Institute built its training around. Students learn cloud engineering, DevOps and AI infrastructure alongside how to document and present that work so it translates into contract opportunities, not just job applications.

“We are not trying to prepare people for the job market that existed ten years ago,” Tayo said. “We are trying to prepare them for the one that is here right now, whether that shows up as a full time role or a string of high value contracts.”

What does this mean if you already have a tech job?

It does not mean quitting. It means noticing that the security of a title is not the same as the security of a skill. A title protects you until the company reorganizes. A documented skill in cloud and AI infrastructure travels with you into whatever the next structure is.

The practical move is to start building proof while you are still employed. One real project, documented properly, gives you something to point at whether the next step is an internal promotion, a new employer or a contract. People who wait until a layoff to start building that record are trying to learn a new market and find income at the same time, which is the hardest possible version of this.

Is this shift happening outside the United States?

Yes, which is part of why the mission is not limited to one country. As work becomes less tied to a single employer, careers built on these skills become less limited by geography. Long term plans include nonprofit initiatives in developing countries teaching the same foundational cloud and infrastructure skills, so the opportunity is not restricted to people living near a major tech hub.

Ready to build for the market that is replacing the traditional tech job?

Get the free Cloud Engineering Career Path Roadmap and start in the right order.

Book your free career strategy call and get an honest read on where your skills stand.

About The Apex Institute

The Apex Institute is an IT career training company that trains working professionals in cloud engineering, DevOps and AI infrastructure, helping them move into the roles employers are struggling to fill as AI adoption accelerates. Students have reported more than $11 million in job offers to date. Individual results vary and are not typical. Learn more at apexedu.io.

Media Contact

Tayo Lusi

contact@apexedu.io

View original content:https://www.prnewswire.com/news-releases/the-apex-institute-on-why-the-traditional-tech-job-is-disappearing-and-who-gets-paid-next-302858261.html

SOURCE The Apex Institute