Legacy life insurance had a good run.

Life insurance does not have a demand problem.

Life insurance does not have a demand problem.

It has a conversion problem.

In 2025, roughly 100 million Americans said they needed life insurance or needed more of it. Yet only 9.4 million individual life insurance policies were sold in 2024, roughly consistent with sales levels of the prior decade. LIMRA has described the industry's challenge plainly: consumer interest remains strong, but only a fraction of the people who say they need coverage ultimately buy it. LIMRA ↗

That is an enormous gap between intention and action.

And we don't believe the answer is another landing page.

We believe the infrastructure underneath life insurance has to change.

The industry did exactly what it was built to do.

Legacy carriers deserve credit.

They have paid claims through wars, recessions, pandemics, and generations of economic change. They built sophisticated actuarial systems, enormous investment portfolios, national distribution networks, and financial institutions designed to remain solvent decades into the future.

That foundation matters.

But longevity creates complexity.

Products accumulate. Systems accumulate. Acquisitions add more systems. Distribution relationships multiply. Data lives in different places. New software gets layered over old software rather than replacing it.

Eventually, the technology architecture begins dictating what the business can do.

McKinsey has described complex legacy technology as one of the largest challenges facing life insurers, noting that these systems increase complexity and costs while making it harder to launch new products and manage existing portfolios. More recently, McKinsey observed that many life insurers still rely on legacy technology, fragmented data, and labor-intensive processes. McKinsey & Company ↗

Deloitte has reached a similar conclusion, pointing to old mainframes, multiple core platforms, integration complexity, and ineffective data flows as continuing obstacles to better insurance experiences. Deloitte ↗

This isn't an indictment of the companies that built those systems.

It is the consequence of building an industry over decades.

But it creates an opportunity to start differently.

100 million people are telling the industry something.

In 2024, 42% of American adults — approximately 102 million people — said they needed life insurance or needed more coverage. In 2025, that number remained around 100 million. LIMRA ↗

That should be one of the most important numbers in insurance.

Because millions of people aren't rejecting the concept of life insurance.

They are failing to complete the journey from *I need this* to *I'm covered*.

Cost perception is part of the problem. LIMRA found that 72% of consumers overestimated the cost of a basic term life insurance policy in its 2024 research. More than half cited perceived expense as a reason they did not own enough coverage. LIMRA ↗

But education alone isn't enough.

The transaction matters too.

How quickly can a consumer understand what they need?

How easily can an advisor compare and explain products?

How much information has to be entered twice?

How long does underwriting take?

Can the carrier use available data intelligently?

What happens when an application leaves the front end?

Can the consumer see what is happening?

Can the agent?

Every unnecessary handoff creates another opportunity to lose someone who already wanted the product.

We have seen what friction can cost.

One Deloitte life-insurance modernization case study described a carrier where an application could consume 90 minutes of an agent's time and underwriting could take approximately 35 days.

The carrier was losing 86% of applicants.

Its eventual goal was extraordinary by comparison: reduce a process that could take 30 days to roughly 30 minutes by rebuilding the underlying ecosystem around automated workflows and modern risk assessment. Deloitte ↗

That is one carrier, not the entire industry.

But the example exposes the larger issue perfectly.

A beautiful digital application sitting on top of fragmented infrastructure is still fragmented infrastructure.

True modernization can't stop at the screen the customer sees.

It has to reach the carrier.

Digital does not mean removing the human.

This is another place where we think the industry conversation has gone wrong.

The future is not agents versus technology.

It is technology making great agents dramatically better.

Consumers increasingly expect digital experiences. LIMRA's research found online purchasing preference rising while in-person preference declined between 2022 and 2023. Yet consumers still showed a strong desire for professional guidance, particularly when making a complicated financial decision. LIMRA ↗

Even among younger consumers, human advice remains important. In LIMRA's 2025 research, 42% of adults age 30 and younger said they would prefer to purchase life insurance from a financial professional in person. LIMRA ↗

That tells us something important.

Consumers don't necessarily want to eliminate the advisor.

They want to eliminate the friction.

An agent shouldn't spend valuable time chasing status updates, moving information between carrier portals, re-keying data, interpreting disconnected underwriting workflows, or wondering where an application stalled.

Their job should be helping families make good decisions.

Technology should handle more of everything else.

A carrier should know what is happening across the entire transaction.

Imagine the alternative.

A consumer enters a life insurance experience.

The system understands where that consumer came from, what product may be appropriate, and what information is already available.

The application adapts instead of blindly asking everyone the same sequence of questions.

Underwriting data is requested when it is actually useful.

Rules and models evaluate evidence in real time.

When a case requires human judgment, it is routed there intelligently.

The producer sees the same transaction the carrier sees.

The consumer knows what is happening.

The policy is issued into the same technology environment responsible for servicing it.

And the data generated throughout that process makes the next transaction smarter.

That isn't simply a faster application.

It is a different architecture.

Distribution. Product. Application. Underwriting. Decisioning. Policy administration. Producer operations. Compliance. Analytics.

Connected.

That is the difference between digitizing the old model and building a new one.

The economics matter too.

Better technology isn't just about making the interface prettier.

McKinsey's insurance technology benchmarking found insurers with modernized IT environments could achieve more than 40% greater policies-per-employee productivity than peers operating legacy systems, while IT costs per policy could be substantially lower. McKinsey & Company ↗

Those economics eventually show up everywhere.

In operating costs.

In product speed.

In distribution economics.

In how quickly a carrier can test something new.

In how much attention employees can spend on difficult cases instead of repetitive work.

And ultimately, in the experience delivered to consumers and producers.

The carrier's technology architecture becomes part of the product.

That is why we're building Lifecor.

Lifecor is being built from the carrier outward rather than trying to modernize the experience while leaving the underlying machinery untouched.

We are building a life insurance company where software isn't an accessory to the carrier.

Software is part of how the carrier operates.

A system designed to connect the consumer experience, producer experience, underwriting, product, operations, and policy lifecycle rather than treating them as independent pieces.

That gives us the opportunity to rethink questions incumbent carriers often have to answer within the constraints of existing infrastructure.

What information should we actually collect?

Which underwriting evidence actually improves the decision?

How should the experience change depending on the consumer and distribution source?

What can software decide instantly?

Where is human judgment valuable?

How do we give producers better visibility into their business?

How do we identify friction before it becomes lost business?

How quickly can a new distribution partner connect?

How quickly can a product evolve?

Those aren't purely technology questions.

They are carrier-design questions.

And starting from scratch means we get to ask them from scratch.

The next era won't be agent-first or consumer-first.

It will be transaction-first.

Consumers want simplicity.

Producers want speed, visibility, competitive products, and fewer obstacles between an application and an issued policy.

Distribution partners want infrastructure that can actually integrate with them.

Underwriters want better information and better tools.

Carriers need disciplined risk selection, strong compliance, sustainable economics, and systems that can operate at scale.

Those interests don't have to compete.

A properly designed carrier connects them.

That is what we believe the next generation of life insurance looks like.

Not technology replacing insurance expertise.

Not AI replacing underwriting.

Not direct-to-consumer replacing producers.

Not another layer of software sitting between systems that still don't communicate.

Something more fundamental.

A life insurance carrier built as one connected system.

The institutions that built this industry had a remarkable run.

They proved that life insurance can protect families for generations.

Now the responsibility of the next generation is to take everything the industry got right — financial strength, actuarial discipline, trust, human advice — and rebuild everything around it that technology can make better.

Legacy life insurance had a good run.

We're building what comes next.

Evidence behind the article

The strongest proof points here come from LIMRA and Life Happens' 2024–2025 Insurance Barometer research on the roughly 100 million-person protection gap, purchase behavior and cost misconceptions; McKinsey's research on legacy life-insurance technology and modernization economics; and Deloitte's research and carrier case studies on core-system modernization and underwriting friction. LIMRA ↗