Forem: Sonu Goswami

AI Hype vs Economic Reality: What a Nobel Economist Is Actually Watching

Sonu Goswami — Thu, 21 May 2026 04:43:10 +0000

Everyone is selling the idea that AI will replace entire jobs overnight. But one Nobel-winning economist is watching a different story unfold.

The real AI question may not be: “Will AI take jobs?”
It may be: “Can AI actually work like humans do?”

Here’s the market reality nobody talks about:

AI agents are impressive — but not job-ready at scale
A chatbot can answer questions. An AI agent can complete tasks. But most jobs are not one task — they’re messy combinations of decisions, systems, people, exceptions, and switching contexts every few minutes. Humans do this naturally. AI still struggles with orchestration.

The smartest economists are quietly being hired by AI companies
OpenAI, Anthropic, Google DeepMind — all are building economics teams. Why? Because the next AI battle is not just technology. It’s narrative. Whoever shapes the story around jobs, productivity, and economic impact shapes regulation, public trust, and adoption.

AI’s biggest bottleneck isn’t intelligence — it’s usability
Past tech revolutions exploded because anyone could use them instantly. Think Word, Excel, PowerPoint. AI is powerful, but most workers still don’t know how to turn it into repeatable productivity. The winners may not be the companies building smarter models — but the ones building easier tools.

The loudest thing in AI today is certainty.
The most honest thing? Uncertainty.

And markets usually move in the gap between hype and reality.

Enterprise SaaS Has a Scaling Interpretation Problem

Sonu Goswami — Tue, 19 May 2026 02:45:30 +0000

A lot of B2B SaaS founders think their first “enterprise problem” will be scaling infrastructure.

I’m starting to think it’s actually scaling interpretation.

Early on, everyone sits close to the product:

sales
founders
engineering
customers

So decisions stay aligned almost by proximity.

But as the company grows, the same product starts getting interpreted differently across teams.

Sales promises one thing.
Security reads it another way.
Implementation scopes it differently.
Customer success inherits the confusion later.

The product didn’t break.

The shared understanding around it did.

A surprising amount of operational friction inside SaaS companies starts here, especially once enterprise buyers and compliance requirements enter the picture.

Curious if others have seen this happen as companies scale.https://sonusaaswriter.com/

AI Governance Is Quietly Becoming a Sales Advantage

Sonu Goswami — Thu, 14 May 2026 05:08:20 +0000

A lot of companies still treat AI governance like a legal or compliance exercise.

Something to deal with later.

A policy page.
An internal review.
A checklist during procurement.

But in regulated enterprise markets, governance increasingly affects whether the deal moves at all.

Because once AI systems enter environments like healthcare, finance, insurance, or government workflows, buyers stop asking only:

“Does the product work?”

They start asking:

Can this system be explained later?
Who is accountable if something goes wrong?
What gets logged?
How does the model behave over time?
Can this survive an audit or regulatory review?

That changes the role governance plays.

It stops being “risk overhead” and starts becoming part of enterprise trust infrastructure.

The interesting part is that this shows up directly inside the sales cycle.

Vendors with:

clear audit trails
explainability layers
documented model behavior
ongoing monitoring

often move through procurement and security reviews faster than companies that treat governance as an afterthought.

Not because the product is necessarily better.

Because the organizational risk feels easier to absorb.

And in regulated markets, “safe to operationalize” is often more important than “technically impressive.”

The companies winning these markets are increasingly not just building AI products.

They’re building systems enterprises feel comfortable adopting at scale.

The Next Enterprise Problem Isn’t Workflow Automation — It’s Operational Memory

Sonu Goswami — Tue, 12 May 2026 02:54:18 +0000

One of the quieter risks in AI-native enterprise operations:

organizations are starting to lose institutional memory faster than they realize.

The workflow still executes.
The alert still resolves.
The report still gets generated.
But fewer people fully understand:
why a decision was made,
how an exception evolved,
or what operational context existed around it.
In regulated environments, that memory layer matters.
Because audits, investigations, outages, and legal reviews rarely ask:
“Did the workflow complete?”

They ask:

Who approved this?
What information was available at the time?
Why was this decision made?
What changed between the first signal and the final action?
Can the organization explain the sequence confidently six months later?

That’s why a lot of enterprise infrastructure is quietly shifting from workflow automation → operational memory systems.

The hard problem is no longer just execution.

It’s whether the organization can reconstruct and defend decisions after the fact.

How Funded SaaS Wins in Regulated Markets

Sonu Goswami — Thu, 07 May 2026 08:58:58 +0000

B2B SaaS companies in security and compliance can use economic wedge positioning to accelerate complex, high-friction enterprise deals.

There's a particular kind of sales cycle that breaks most playbooks.
It moves slowly, involves five stakeholders minimum, and always seems to stall somewhere between "technical approval" and "legal sign-off." It's the enterprise deal in a regulated market — and for funded B2B SaaS companies operating in security, compliance, or heavily audited industries, it's not the exception. It's the entire business.

Most teams respond to this friction by adding headcount. More SDRs. A dedicated solutions engineer. A compliance liaison. The cycle gets more resourced but never actually shorter.

The companies that break through aren't doing it with more people. They're doing it with sharper positioning — specifically, what's now being called the economic wedge.

The Problem Isn't the Product
Founders in regulated verticals often assume the deal complexity is a market condition they simply have to endure. Compliance buyers are slow. Security committees are cautious. Legal teams are conservative. True — but that's not why deals stall.

Deals stall because the economic case isn't being made in the language of the buyer's actual risk exposure.

When a CISO evaluates a security tool, they're not just evaluating features. They're calculating what a breach, a failed audit, or a compliance gap actually costs the business — in regulatory fines, remediation hours, insurance premiums, and sometimes stock price. When a compliance officer at a fintech evaluates a workflow platform, they're measuring it against the cost of the manual processes it replaces, and the liability of the ones it prevents.

Most SaaS pitches land on capability. The economic wedge lands on consequence.

What the Wedge Actually Does
The economic wedge is a positioning mechanism, not a pricing strategy. It reframes the conversation from "what does this product do" to "what does not having this product cost you."
In regulated markets, that reframe is unusually powerful — because the cost of inaction is quantifiable in ways most industries can't match. Regulatory penalties have dollar amounts attached. Audit failures have remediation timelines. Security incidents have published average costs. The data exists. The question is whether your positioning uses it.

Funded B2B SaaS companies have a structural advantage here: they've often already survived a due diligence process that forced them to articulate the size and shape of their market problem. That institutional clarity — the same clarity that convinced investors — should be the backbone of every enterprise conversation.

If your Series A deck quantified the addressable risk your product eliminates, that number belongs in your sales narrative, not just your investor updates.

Where Positioning Breaks Down in Complex Deals
The other failure mode isn't unclear economics — it's misaligned audience targeting within the same deal.

A six-person buying committee in a regulated enterprise is not a monolith. The CISO cares about threat surface. The CFO cares about cost basis. Legal cares about indemnification. The head of IT ops cares about integration overhead. Each of these stakeholders experiences the economic wedge differently — and a single pitch that tries to speak to all of them usually resonates with none.

Mature positioning in this space doesn't mean having one message. It means having a core economic thesis — the fundamental cost-of-inaction argument — that each stakeholder conversation can be derived from. The CISO version and the CFO version should feel distinct but traceable back to the same root claim.
This is where most go-to-market teams underinvest. They localize the demo but not the economic argument.

The Signal That Separates Fast Deals from Stalled Ones
After enough cycles in security and compliance markets, a pattern emerges. Deals that move quickly share one common feature: someone inside the buying organization has already made the internal economic case before your team arrived.

They're not waiting on your pitch. They pulled up your content, built a cost comparison, and walked it into a leadership meeting. You are validating their analysis, not introducing a new one.
This is why content strategy in regulated B2B isn't a brand exercise — it's a sales acceleration lever. The funded SaaS companies winning the fastest deal cycles are publishing the exact economic frameworks their buyers need to build internal business cases. Benchmark data. Regulatory cost calculators. Audit failure impact analyses.

The wedge gets into the room before the salesperson does.

What This Means for Positioning Right Now
Funded B2B SaaS in security and compliance sits at an unusual moment. Regulatory pressure is intensifying across financial services, healthcare, and critical infrastructure. Buyers in these markets are more economically motivated than they've ever been — and more capable of justifying spend to their boards.
The companies that will own category positioning over the next 18 months aren't necessarily the ones with the best product. They're the ones whose economic narrative is sharpest, whose content arms their buyers most effectively, and whose positioning makes the cost of inaction feel more urgent than the cost of the deal.

The wedge isn't a clever sales trick. In regulated markets, it's the whole game.

Your SaaS isn’t competing with competitors. It’s competing with “good enough.”

Sonu Goswami — Tue, 05 May 2026 12:58:30 +0000

Been noticing this across a few tools we looked at recently:

Founders assume they’re up against:

another SaaS
or a newer AI tool

But in most cases, the real competitor is:

→ a half-broken internal workflow
→ a spreadsheet everyone complains about
→ something that “kind of works”

And that thing wins more often than it should.

Not because it’s better.
Because it’s already embedded.

No migration
No approval
No risk of breaking something else

So the bar isn’t:

“is your product better?”

It becomes:

“is it better enough to justify change?”

And most products don’t clear that.

They improve the workflow…
but don’t remove enough pain to force a switch.

What actually seems to work:

removing a step entirely
eliminating a known failure point
or solving something users already complain about internally

Otherwise it stays in the “nice to have” bucket.

Curious — where have you seen this play out?

Lost to internal tools? Or replaced one successfully?

Most teams think SOC 2 removes friction in deals.

Sonu Goswami — Thu, 30 Apr 2026 09:24:11 +0000

In practice, it often creates a different kind of friction.

Reality

SOC 2 is treated as a unlock:

“once we have it → deals move faster”

SOC 2 doesn’t reduce scrutiny.

It standardizes scrutiny.

Before SOC 2:

reviews are inconsistent
questions depend on the buyer
you can navigate deal-by-deal

After SOC 2:

security teams switch to structured evaluation
questionnaires become deeper, not lighter
controls get mapped against their risk model, not yours

This is where things break:

You built controls to pass an audit

Buyers evaluate controls to assign risk

Those are not the same system.

So what happens?

same questions repeat across deals
answers need customization every time
evidence has to be re-explained in buyer context
internal champions still struggle to defend you

Result:

you’re “compliant”… but not easy to buy

SOC 2 is not a trust asset.

It’s a translation problem.

The real work starts after the report:

→ mapping your controls to how each buyer perceives risk
→ making answers reusable in their language
→ reducing interpretation effort for security teams

If that layer is missing:

SOC 2 doesn’t accelerate deals

It just makes the friction more formal and repeatable

That’s why some teams see zero sales velocity impact even after getting compliant.

They solved for audit.

Not for buyer-side risk interpretation.

Where deals actually stall

Sonu Goswami — Tue, 28 Apr 2026 13:04:36 +0000

Most deals don’t stall at demo.

They stall at internal justification.

Everything looks good on the surface:

product works
users are engaged
ROI seems clear

Then the deal hits a different layer:

security review
procurement
compliance
risk teams

And the questions change:

what if this fails?
who owns the risk?
how do we explain this decision internally?

This is where many products struggle.

Because they were built to:
→ be used

Not to:
→ be defended

And if the buyer can’t defend the decision,
the deal doesn’t move.

Even if the product is already in use.

Most SaaS problems don’t show up in churn. They show up in “partial usage.”

Sonu Goswami — Thu, 23 Apr 2026 09:35:28 +0000

Something I’ve been noticing across a few products:

Users don’t always leave.
They just… stop using key parts of the product.

They log in
use 1–2 features
ignore the rest

and from the outside, it looks like “active usage”

But underneath:

the core workflow isn’t trusted yet
the high-value features feel risky or unclear
teams fall back to what they know for anything critical

So you get:

“retained” accounts
but no real dependency

What’s tricky is:

most dashboards won’t flag this
revenue is still there
logins are still happening

But when renewal comes… that’s when it shows up.

The teams that avoid this don’t just track usage
they track where users stop trusting the product

Curious if others have seen this:

Have you had accounts that looked active… but never really adopted the core workflow?

Certs aren’t static—they’re market signals

Sonu Goswami — Tue, 21 Apr 2026 02:49:55 +0000

Security certifications don’t hold fixed value. Demand shifts with hiring cycles, audit pressure, and security focus areas.

The problem isn’t comparing certifications

It’s assuming they mean the same thing over time.

Tools like this (and even frameworks like Paul Jerimy's Security Certification Roadmap) do a good job organizing the landscape.

But they treat certification value as stable.

In reality, it’s not.

Certification value is a moving target

A cert doesn’t carry fixed weight.

Its value shifts based on:

hiring cycles (who’s actually hiring vs pausing)
regional demand (what’s valued in EU ≠ US ≠ APAC)
pressure layer (cloud, appsec, GRC, identity, etc.)

Example:
When audit pressure spikes, certs tied to governance frameworks (like ISO/IEC 17024 alignment) suddenly carry more weight.

When breach cycles dominate, offensive or detection-focused certs trend up.

Same cert. Different market moment.

Where most tools fall short

They optimize for:

completeness (more certs)
categorization (levels, domains)
static “market acceptance”

But they miss:

time + context sensitivity

So the output becomes:
accurate structure, misleading decisions

Because buyers (candidates, hiring managers) are operating in a current market, not a static one.

What would make this more useful

If this evolved from a directory → decision system, the unlock is:

Time-aware scoring
Weight certifications based on recent hiring demand signals, not historical reputation.
Context overlays
Let users filter by:

region
role type
company stage (startup vs enterprise)
current security priority (compliance vs detection vs cloud)

Outcome linkage Not “top certs,” but:

which certs are actually getting people hired right now

The deeper insight

This is less a certification problem
and more a market signaling problem

Certifications are proxies for:

trust
readiness
risk reduction

But those proxies only matter relative to what the market currently values.

If you lean into that

The positioning shifts from:

“compare 440+ certifications”

to:

“understand which credentials convert in the current security hiring market”

That’s a different product.

Closing

The dataset is strong.

The gap is making it responsive to reality.

Because in security hiring:

static maps help you explore
dynamic signals help you decide

Fintech Doesn’t Have a Risk Problem. It Has a Risk Context Problem.

Sonu Goswami — Fri, 17 Apr 2026 08:20:26 +0000

As fintech companies scale, risk systems don’t fail — their assumptions do. Here’s why context, not rules, is the real positioning gap.

At low volume, most fintech products look like they work.

Transactions go through.
Fraud gets flagged.
Nothing feels broken.

Then volume increases.

Same users.
Same behavior.
Same flows.

But suddenly:

More transactions get flagged
More reviews get triggered
More “verify this” loops appear

Nothing changed in reality.

But everything changed in how the system interprets risk.

The mistake most teams make

They assume risk systems break at scale.

They don’t.

What actually breaks is risk tolerance.

Most systems are built on a simple assumption:

more volume = more exposure = more risk

So when volume increases, the system reacts as if something is wrong.

Even when nothing is.

Where this becomes a product problem

At first, this shows up as friction.

Then it becomes an operational issue:

Ops teams start overriding decisions
Manual review layers get added
Exceptions become normal

And eventually:

The system is no longer making decisions.

People are.

The hidden positioning gap

Most fintech tools are positioned as:

“better risk detection”
“more accurate models”
“AI-powered fraud prevention”

But that’s not the real problem buyers are dealing with.

The real problem is:

“Why does our system stop working when we grow?”

That’s not detection.

That’s context failure.

What buyers are actually trying to solve

When a fintech team scales, they don’t just need better rules.

They need systems that understand:

behavioral patterns over time
consistency of counterparties
transaction intent, not just size
how risk changes with growth, not against it

In other words:

They need context-aware risk systems.

Why most solutions fall short

Because they’re still built around:

static thresholds
snapshot decisions
isolated events

So the system sees:

“bigger transaction” → “higher risk”

But misses:

“same behavior, just scaled”

The shift that matters

The winners in fintech risk won’t be the ones with:

better models
more data
faster detection

They’ll be the ones who can answer:

“Is this behavior still normal — just at a different scale?”

That requires a different system.

Not just better inputs.

The positioning opportunity

If you’re building in fintech risk, the wedge isn’t:

fraud prevention
compliance automation
transaction monitoring

Those are crowded.

The wedge is:

helping systems stay consistent as businesses scale

Because that’s where trust actually breaks.

The bottom line

Risk systems don’t fail when companies grow.

They just weren’t designed for growth in the first place.

And the companies that fix that won’t just reduce fraud.

They’ll remove the invisible friction that slows every scaled fintech down.

Why Compliance Work Doesn’t Equal Real Security

Sonu Goswami — Tue, 14 Apr 2026 04:56:30 +0000

Most startups don’t start with security in mind.
They start with a deal on the line.

A customer asks about SOC 2.
The team reacts.
Compliance becomes the priority.

That’s where things quietly go off track.

Because compliance and security are related — but they’re not the same thing.
And when you treat them as one, the gap doesn’t show immediately.
It shows later, when someone looks closer.

Compliance Usually Starts With a Customer Ask

In early-stage companies, security rarely comes from first principles.
It’s usually triggered by demand.

A buyer asks a question.
That question shapes what gets built.

So instead of designing systems around real risk, teams start aligning with a framework.

It works for getting through the door.
But it often lacks depth.

You Don’t “Finish” Compliance

A common assumption is that compliance is a milestone.

Get certified → move on.

That’s not how it plays out in practice.

Compliance keeps running in the background.
It depends on:

people following processes
systems generating evidence
teams staying consistent over time

You can bring in tools or auditors.
But the responsibility doesn’t leave your team.

Where Most Teams Struggle

The issue isn’t lack of tools.
It’s lack of internal alignment.

Good compliance setups separate responsibilities:

someone implements controls
someone else reviews them

Without that split, things look fine on paper
but don’t hold up under scrutiny

And that’s where audits start getting uncomfortable

What Changes as Companies Grow

The approach to compliance shifts over time.

Early stage:

figuring out what matters
moving fast to meet requirements
leaning on external help

Later stage:

tightening controls
building internal ownership
focusing on consistency

The shift is simple:

from getting compliant
to operating in a compliant way

Underrated Problem Areas

There are still parts of compliance that aren’t well solved:

tracking what existed at a specific point in time
monitoring controls continuously
aligning different teams on risk
staying audit-ready without scrambling

These problems show up often
but don’t always get direct attention

What SOC 2 Really Communicates

SOC 2 isn’t just a checkbox.

It tells customers:

you’ve defined how you handle data
you have controls in place
you can show proof when needed

But it also creates an expectation:

that things improve over time

Staying static doesn’t build confidence
progress does

A Better Way to Approach It

Instead of treating compliance like a task list:

start with actual risks
assign clear ownership
build systems that capture evidence naturally
keep implementation and review separate
think beyond certification

This changes how your company is evaluated
especially in serious deals

Closing Thought

Compliance might open the conversation
but it’s not what carries it forward

What matters is whether your approach holds up
when different teams start looking at risk in their own way

CTA

If you’re working through SOC 2 or selling into enterprise,
follow along for more breakdowns on how compliance actually plays out inside real deals