Founder @ PMDojo | Ex-Atlassian | Product Leadership Coach | Keynote Speaker | Community Builder | Mom 👩‍👦🐶

You’re a high-performing woman doing everything right. You consistently deliver the results, survive the fire drills and have proven your value ten times over. Yet, when the Dir/VP roles open... you hear

"Be more strategic" "Have more executive presence" or "Wait your turn"

while less qualified people move ahead.💔

This isn't about your work ethic or working harder. It’s about power, perception, and strategic influence. As a former C-Suite executive, I know how these decisions are made because I've sat in the talent reviews and promotion discussions.

I started my career right at the bottom in a junior Tech Support role and fought through dysfunctional reorgs and M&As to become a Company President and C-Suite Executive. 

As a working mom and often the youngest executive in the room, I was told every reason why I wasn’t “fit” for the top. I didn’t just shatter the ceiling…I mastered the behavioral psychology required to own the room.

I’ve helped 5,000+ women get promoted at Dir/VP and C-Suite levels and, for many, build founder paths alongside or beyond corporate securing $5.5M in combined raises. and secure $5.5M in combined raises in months, not years.

Stop being the doer that does all the work and start being the leader who leads it. Every cycle you wait is a $40k-$125K mistake.

Send me a DM. Get your seat at the table.✌️

Bosky Mukherjee

Asha Sharma was just named CEO of Xbox. 

I went back to her LinkedIn and just scrolled. 
Because her career doesn't look like what people imagine when they think "future gaming CEO."

She didn't grow up inside Xbox. 
She moved across completely different spaces.

In 2011, she started at Microsoft in marketing. 
Left after two years to join Porch Group as an early employee, became COO, and helped take it public at a billion-dollar valuation.
She joined Meta to lead product and engineering.
She joined Instacart as COO (led a $30B P&L to IPO).
Then she returned to Microsoft in 2024 to run Core AI Product, right at the center of the company’s biggest AI bets.

And now, in 2026, Satya Nadella announced her as CEO of Xbox.
Her appointment surprised many because she isn’t a gaming veteran.
People have already started questioning whether she’s the “obvious” choice.

But instead of shrinking from that, she's openly acknowledged she needs to earn trust in this space. That shows strength and humility as a leader.

Run her career through the old-school "traditional path" filter, and it probably wouldn't make sense.

Maybe that's the point.

Old playbooks don't work the way they used to, especially now, as traditional career ladders are being thrown out the window.

3 things I want women feeling uneasy about career growth to take from her story:

1️⃣ If your path zigzags and looks unfocused, tell the story of your breadth of experience.
2️⃣ If you pivot industries, don't think "starting over." Think compounding skill sets.
3️⃣ If you step into something unfamiliar, remember everything is figureoutable.

Asha's career doesn't look smooth. 
It looks layered. Nonlinear. 
Slightly uncomfortable.

Which is how most real careers look. 
We just don't post about the messy parts.

If your path feels zig-zaggy or “not obvious,” I hope Asha’s story inspires you to pause and see the possibilities in your own future. 💪 

♻️ Share this with someone who needs to hear this story today.

I help women become Dir/VP leaders in AI-native companies | Former C-Suite Exec | Ex-Atlassian | 5K+ women coached | $5.5M+ in raises

The AI race is making a lot of smart people feel stupid.
So many women I talk to are doing exactly what everyone says to do.

Learning AI tools.
Watching YouTube tutorials.
Trying to stay ahead.

And yet I keep hearing the same sentence:
“I’m trying to keep up… but I still feel like I’m falling behind.”

If you already have a full plate at work or you're a busy working mom like me,
you’ve probably wondered:

Where is all of this supposed to fit?

I call this the "AI shame cycle".
You see constant hot takes, tutorials, and “how I built this with AI” posts everywhere…

And it quietly creates the feeling that everyone else is ahead of you.

So you keep learning.
But you still feel like you’re not doing enough.
And the cycle just keeps repeating.

In today’s newsletter, I share three ideas you can start using right away even if you're already stretched thin.

Rooting for you. You can absolutely do this. 💪 
Happy reading.

P.S. How are you learning about AI to help you become the top 10%?

The following is an excerpt from my free weekly email newsletter Rise & Thrive for high-achieving and ambitious women. Subscribe Now and you’ll get th

Open article: “AI shame” doesn’t go away just by learning more by Bosky Mukherjee • 3 min read

“AI shame” doesn’t go away just by learning more

Every year, we get a new "Women in Tech" report, but the numbers barely move.

28% of tech leadership is women, the same as 5 years ago. Maybe the problem isn't women. Maybe it's the rooms that keep pretending they don't see them.

These 6 women stopped waiting to be seen.

1: Marian Croak - She filed 200+ patents on the internet, pioneered VoIP across 30+ years at AT&T, built tech that raised $43M after Haiti's earthquake, and became one of the first two Black women in the National Inventors Hall of Fame. Now, she’s the VP of Engineering at Google.

Lesson: Build so deep that history has no choice but to remember you.

2: Avital Arora - From being an engineer at Dell to Salesforce VP, to now VP of Engineering leading AI & Compute Infrastructure at Google, she scaled teams from 0 to 250+ globally.

Lesson: You don't climb the ladder, you build it, rung by rung, person by person.

3: Kamala Subramaniam - Emigrated from India, earned a PhD from NC State, and built a 1,000-engineer cloud hub for Google from scratch in Durham. Now Director of Engineering & Site Lead, she built an entire ecosystem, not just a team.

Lesson: When you build ecosystems, instead of just teams, you become impossible to replace.

4: Divya Ramakrishnan - Joined NVIDIA when it was "just a GPU company." 15+ years later, as Director of Hardware Engineering, she turns silicon into AI, gaming, and data center products. A YWCA honoree who stayed while others job-hopped.

Lesson: Loyalty to the right company, at the right time, is itself a career strategy.

5: Fatima Oguz - 15 years at Qualcomm.  As Director of Engineering, she ships software powering mobile tech globally, while leading Qualcomm Women San Diego as President.

Lesson: Depth in one place beats breadth in many. Master your domain, then use it to lift others.

6: Sarah Knapp - Survived telecom M&A chaos at Lumen for 14 years. Joined DHI Group, Inc. in 2021 and rose to VP of Technology Operations in 4 years.

Lesson: Outlasting chaos is a skill, and it's the one that most people quit before they learn.

Instead of waiting to be seen, these women built things that mattered.

Most women in tech are still rewarded for staying behind the scenes instead of being in the room alongside their male counterparts. With AI reshaping what "valuable" looks like, the window to change that is narrowing fast.

Ready to make the shift? Join me on Feb 24th. (Link in bio)

Tag a woman in tech who deserves visibility. 👇

Nelly from my community just negotiated a $285K role. 
She almost said "YES" when the company initially offered $150K. 🤢 

When she got the initial offer, her first instinct was to say “yes” immediately. 
She told me, "I didn't want to seem difficult."

I have been guilty of this in the past too.
Women who've managed multi-million dollar programs, driven company-wide results... will still hesitate to counter an offer.

Talking about money is never easy.
The number we are given can feel like a verdict about our worth. 

But, it doesn't have to be.

When Nelly and I started working together inside Leadership Edge, we focused on four things:

✅ Understand real comp data inside companies (in current times)
✅ Reframe her narrative around business impact instead of years of experience
✅ Prepare her to walk into that conversation with evidence, not just hope.
✅ Become comfortable talking about money, pushing back and negotiating with confidence. 

She countered and held firm. 
The result was $135K more in total compensation. 💃 
Just from one conversation.

3 things I want every woman reading this to take away:
1: The first offer is almost never the final offer. Treat it as a starting point.
2: Anchor your ask to the value you create, not what you earned before. Your last salary is not your limit.
3: Negotiation is not confrontation. It is a business conversation. The company expects it.

A similar post went viral on X this week, where someone shared how 30 seconds of discomfort earned them $10K more per year. That's $50K over five years.

Now imagine what happens when women start doing this consistently.

If you've ever accepted less than you knew you were worth, I'd love to hear what held you back.

And BTW, Nelly, I'm so proud of you. You can choose the most expensive restaurant, it's my treat. 🙌 🥰 

♻️ Repost this to help women negotiate their worth with confidence.

A C-level executive taught me one framework in 2008. Years later, it saved my career as a working mother. 💪 

During the first 5 years after having my son, I never slept through the night. 
He would wake up crying or needing to go the bathroom and wake me up. 

I was deprived of sleep and still pretending to function like everyone else.
On the professional front, I was building a 300 person team from ground up, and navigating a toxic promotion battle.

Every decision felt impossible because everything felt equally urgent.

So I went back to something I had learned from that executive years ago.

Give yourself just 3 options. I wrote mine down:
Option 1: Start an executive-level job search.
Option 2: Step away from work, be home with my child, because T was just 5 back then, and search when I feel ready.
Option 3: Stay, flip the problem, and learn to work with leadership strategically.

Then I asked myself 2 questions for each: Do I have the energy for this right now, and what happens if I choose it?

The answer came fast.
❌ A job search with no sleep and a toddler would be harder than my current situation.
❌ Staying on one income with a new mortgage was not financially feasible.
✅ So I chose option three. I stayed, flipped the problem, and learned to have adult-to-adult conversations with my CEO. And that got me the promotion on my timeline.

As working moms, we don’t struggle with lack of ambition. 
However, we are often drowing with competing priorities with no decision-making filter.

So next time you find yourself with a fork in road, try giving yourself 3 options and choose 1.

It is so important to learn how as women we can make clear, grounded decisions even when everything feels urgent and the stakes are high.

P.S. What has helped you prioritize as a working mom?

If you've ever heard “You're doing great, but let's talk next year” 
Then this is for you.

I used to be the one leadership trusted with everything messy.

The project no one could untangle? Mine. 
The new hires who needed mentoring? Mine. 
The work my manager didn’t have time for? Also mine.

I was reliable, calm and very capable.
And also completely stuck. 💔 

When a director role opened, I thought my track record would definitely help.
Instead I got: “You’re doing amazing Bosky. Let’s talk next year.”

At the time, I told myself it meant I was really close.
Looking back, I see something very different.

The praise keeps you performing.
The “but” keeps you stuck.

We get so deep in "doing more" that no one has to imagine us operating strategically at the next level.

We make everyone else’s job easier including the people deciding promotions.
Meanwhile, the people getting promoted aren’t necessarily doing more.
They’re being perceived differently.

I stayed in this long cycle until I stopped talking ONLY about what I delivered and started thinking and operating commercially.

That shift changed how I was discussed in rooms I wasn’t in.
And that’s when everything shifted for me and so many women I talk to.

If you keep hearing “you’re doing great, but…”
It might not be about performance at all; it like is your strategic positioning.

So here’s the real question:
When leadership talks about you in talent reviews…
Are they describing you as a dependable doer? Or a strategic leader?

♻️ Share this with someone who would find this helpful.

Most people wait years to get access to executive leaders. 
She got it in 12 days. 🤩

The difference wasn’t confidence. It was where she chose to start.

Luna is a senior leader at a SaaS company I’ve been supporting. 
She had just returned from maternity leave and joined a new company.

As women, we usually focus on proving ourselves. (we all know why)
Learning how things work. Keeping our head down.

Luna decided NOT to wait.

✅ She picked one initiative that was clearly tied to a company priority, something leadership was already paying attention to.

✅  Then she emailed the SVP and asked for 20 minutes to talk about that priority and how her work connected to it.

That was it.

He replied within days, and they spoke that same week. 
Afterward, she told me, “It didn’t feel like a big deal.” But it was.

It meant her name was now attached to an executive conversation…
Not just a team update.

As women, we are told to find a mentor or be more visible. 
At senior levels, access usually follows relevance.

Here’s what actually made the difference for Luna:
1. She reached out to the right executive instead of waiting to be noticed.
2. She tied her work to what this SVP already cared about.
3. She showed him her thinking and impact.

And because she never once brought up her own career advancement...
the pressure disappeared. 

It was just two people discussing the business.

This week, she told me the same SVP wants to talk about her growth in the company. 👏 

That’s how sponsorship often starts. 
Not with a request to get sponsored. 

12 days isn’t luck. 
It’s what happens when you don’t get distracted with junior-level generic advice.

It is so important that as women we know how to pick and choose the right things to do that can propel your career fast. Especially now.

♻️ Share this tip with another woman who might need it today.

Want to learn more? https://lnkd.in/gz6S4C5H

Women in my community get promoted 2 - 3X within 18 - 24 months. 💪 
Not by working 60–70 hour weeks.
Not by taking on more projects.

For years, most of them did what we're all taught to do.
❌ Say yes.
❌Take more work.
❌Be the most reliable person in the room.

And that’s exactly why they got stuck. 
It backfired on them. 
All the strong work ethic helped companies (not them)...

Because more work gives you more work.
Not more strategic power.

This distinction matters more now than ever.
AI is flattening org structures.
Middle layers won’t expand the way they used to.
Companies will promote fewer people but give them bigger scope.

Execution is no longer the differentiator.
Strategic trust is.

Working harder strengthens your execution reputation.
Promotions happen when you build a strategic leadership reputation.
Those are not the same thing.

The women accelerating right now made one shift:
✅ They stopped being known for doing more.
✅ They started being known for influencing the strategic direction.

This is what women in my community are focusing on:
1: They think, operate, and communicate commercially like executives. 
Task-level updates replaced with commercial, strategic language.

2: Insert themselves into problems leadership already cares about. 
This makes them strategically relevant

This is why some careers accelerate and some start to stall. 
It’s not about how hard you work.
It’s about strategic positioning as companies go AI native.

If Director or VP  is on your career path, this shift is no longer optional.
And yes, I believe it’s 100% learnable (5K+ women are doing this). 🙌 

Quick question: Are you currently known for execution…or for strategic judgment? (That answer will tell you everything.)

P.S. I’m breaking this down live on March 24th. Link under my name.

I’m not going to pretend the playing field is equal for women. 🤢 
And anyone who says it is probably isn’t living in the same reality most of us are navigating right now.

I’m not here to debate that.
I’m here for the women who already know this…and are quietly wondering what comes next.

Because I feel it too.
As a working mom.
As an ambitious woman.
As someone thinking about long-term security for my family.

The questions I keep hearing and asking myself sound like this:
1. What does ambition even mean right now?
2. Is career growth still possible when ladders keep shifting?
3. Could my job disappear overnight?
4. Everyone says “learn AI”… but how does that help me not losing my job?
5. What happens to our long-term livelihood?

These are not small questions.
And pretending everything is fine or will become fine isn’t going to secure any of our future.

We need more than optimism.
We need clarity and optionality to succeed, thrive and rise.

And I don’t believe we should be navigating this alone.
So here’s what I’m doing.

I’m building a series of FREE resources for women focused on becoming more marketable and creating real optionality in today's uncertain world.

👇 Tell me in the comments below: What would actually help in the next 6–12 months?

I want to build what women truly need not what sounds good on paper.

♻️ If another woman in your world is thinking about these same questions, share this with her.

Let’s figure this out together. 💪 🙌

As a woman, what feels most unclear about your career and future right now?

The author can see how you vote. Learn more

AI Product Builder @ NanoKernel | Generative AI, AI Agents, AIoT, Responsible AI, AI Product Management | Ex-Apple, Accenture, Cognizant, Verizon, AT&T | I help companies build standout Next-Gen AI Solutions

I help visionary companies build standout AI Products. 

I am seeking a Senior IC AI Product Manager role at established AI-focused companies. 

I am a transformative Product and IT Executive, blending innovation with leadership across every role I've embraced. My journey from the technical trenches to the strategic echelons of Product Leadership, Solutions Architecture, and Enterprise Data Strategy has been fueled by an insatiable drive for growth, an unwavering focus on customer success, and a passion for adapting and thriving in diverse organizational landscapes.

From Fortune 50 giants to agile startups, my path has been marked by over 8 groundbreaking product launches and more than 20 transformative project deliveries. At the heart of these achievements lies a deep-seated belief in the power of innovative thinking, strategic execution, and the magic of collaboration across domains and disciplines. 

My mantra? Value creation, operational excellence, and nurturing talent are the cornerstones of my transformative leadership. 

My commitment to thought leadership has led me to author several books on AI and Data, secure several patents, and contribute to the knowledge pool with articles and papers featured in renowned journals, blogs, and media channels. Dive into my insights on LinkedIn and Medium at https://harsha-srivatsa.medium.com

Education is an ongoing journey for me, enriched by formal degrees in Engineering, Math, Computer Science, and Management, alongside continuous learning from prestigious institutions like MIT, Stanford, Kellogg, and IDEOU. This foundation empowers me to lead at the intersection of technology and business, navigating the complexities of AI, IoT, Cloud Platforms, and beyond with ease and insight.

My commitment extends beyond the professional realm. As a High School Educator with Microsoft's TEALS Program, a Master Gardener certified by University of California, a mentor for immigrants through Upwardly Global, and a volunteer with the Coast Guard Auxiliary, I believe in giving back, sharing knowledge, and supporting communities. I am a believer in the transformative power of technology, education, and community service. Let’s connect, collaborate, and create impact together.

Email:  harsha.srivatsa at connectwithharsha.info | Website: https://www.connectwithharsha.me

Harsha Srivatsa

🚀 I am thrilled to announce the upcoming release of my new book: The Future of AI Data Centers - Creating Resource-Responsible AI for an AI++ World! 🚀

Over the past year, I have been on a deep learning journey exploring the physical realities of our AI ambitions. As AI models grow exponentially, so do their compute demands. With rack densities rapidly scaling from traditional 15 kW to 130+ kW and beyond, it became incredibly clear to me that legacy cloud infrastructure simply cannot support this scale.

Why this topic is critical right now: The physical constraints of our power grids, cooling systems, and natural resources are quickly becoming the ultimate bottlenecks to AI innovation. Understanding how to navigate this massive shift to purpose-built, "AI-Native" facilities is one of the most pressing challenges for the future of the tech industry.

The "Resource-Responsible AI" Angle: While researching the thermal management discontinuities and power distribution shifts, I realized that efficiency isn't just a "nice-to-have" ESG goal; it is an existential requirement for scale. This inspired me to develop the Resource-Responsible AI framework. I wanted to shift the conversation to ensure we are treating sustainability—energy efficiency, closed-loop water stewardship, and carbon-conscious computing—as first-order design principles, rather than afterthoughts.

My core message is simple: If we want to build an "AI++ World," we must confront the looming bottlenecks of energy, water, and raw materials head-on. The future of AI must evolve by being fundamentally resource-responsible.

📖 The eBook will very soon be available on the Amazon Bookstore and included in Kindle Unlimited! I will share the official link the moment it goes live.

Grateful for everyone who supported, challenged, and encouraged me along this writing + research journey. Ten people have kindly agreed to review and share their thoughts about the book. 

The topics in the book will also be covered in my LinkedIn newsletter on Resource Responsible AI. [https://lnkd.in/ggUt-rYE]

#AI #AIDataCenters #ResourceResponsibleAI #ArtificialIntelligence

Senior AI Product Manager | Generative AI, AI Agents, AIoT, Responsible AI, AI Product Strategy | Ex-Apple, Accenture, Cognizant | I help companies build, debug and launch standout AI products

“When everyone is Super, no one will be.” — Syndrome, The Incredibles

Syndrome's plan was simple: give everyone superpowers so that having superpowers means nothing. That's exactly what's happening in AI right now in 2026.

AI tools have given everyone the superpower of building: vibe coding, one-click deployment, and AI-assisted everything. A weekend hackathon can now produce what took a funded team six months not long ago. One-person teams ship what used to require twenty engineers.

The barrier between "I have an idea" and "I have a product" has nearly disappeared. 

So here's the uncomfortable question: if everyone can build, what's actually worth building?

When everyone can build at speed, speed stops being an advantage.
Execution becomes a commodity and a moat.  The same prototype you ship on Monday has three clones by Friday. The AI feature you launched last sprint? An incumbent ships it as a checkbox this sprint. Speed is no longer strategy. It's table stakes.

I've been studying this dynamic closely — analyzing AI startups that raised millions and flatlined despite shipping constantly, AI companies that dominated categories and then watched their moats evaporate in weeks, and the rare few that built durable positions in markets that seemed impossible to defend.

The pattern was clear. The winners weren't the fastest builders. They were the ones who understood what kind of company they were and what market they were actually playing in. They made deliberate choices about where to compete and how to grow — before they wrote a single line of code.

That realization, combined with learning from Reforge, Ravi Mehta, Brian Balfour convinced me that what's missing in the AI ecosystem isn't better tools. It's a better strategic framework for the AI era. 

So I wrote one. Adapted and built on the classic Blue Ocean Strategy. 

AI Ocean Strategy introduces a new model for navigating AI markets. The core idea: In AI markets, you need to know what kind of fish you are before you start swimming.

🔴 Red Fish — execution-first competitors thriving in fierce, crowded markets through operational excellence
🔵 Blue Fish — category creators building demand where none existed
⚪ Neutral Fish — ambidextrous adapters balancing exploitation of what works with exploration of what's next

AI Ocean Strategy sits at the layer above both: the strategic positioning layer where you decide what game you're playing before you build anything.  

Because in a world where everyone is Super — where everyone can build — the question that matters isn't "can you ship?"

It's: are you the right fish, in the right ocean, with the right strategy?

If you are thinking of building an AI product / AI company this become an existential and driving consideration. 

Dive more into the video explainer below and the audio explainer / book overview links in the comments.

Hallucination Sense: The Diagnostic Intuition AI Product Builders Need (Alongside Evals)

Everyone knows large language models hallucinate.
It’s almost become shorthand in boardrooms and product reviews:
“LLMs are powerful… but they sometimes make things up.”
The bigger problem is what happens next.

When hallucinations show up in a real workflow—legal, finance, healthcare, customer support—teams often jump straight to generic fixes:
“Add RAG.”
“Tighten the prompt.”
“Lower temperature.”
“Add a disclaimer.”

Sometimes those help. Often they don’t. Because hallucinations are not one problem.
They’re a family of failure modes—with different root causes, different levels of enterprise risk, and different mitigations.
That gap—between knowing THAT hallucinations happen and understanding WHY / WHEN / WHAT TO DO—is where trust erodes and enterprise deployments stall.
I’ve started calling the missing capability: Hallucination Sense

If Product Sense is the intuition leaders develop to judge whether a product decision is sound…
Hallucination Sense is the equivalent intuition for AI reliability.
It’s the ability to look at an AI output and quickly assess:
“Is this grounded in evidence or ‘plausible-sounding’?”
“Is this confident language justified—or risky?”
“Is this a retrieval problem, a validation problem, or an instruction-following problem?”
“Is the right response a direct answer… or an honest refusal?”

This matters because:
Evals are the instrument. Hallucination Sense is the clinical judgment.

To develop Hallucination Sense in a systematic way, I’m building a project called Hallucination Lab in Google AI Studio.
The goal is not just detection—it’s understanding and operational learning.
Hallucination Lab is designed as an interactive reliability simulator:
Generate tricky queries (ambiguous, time-sensitive, missing info, constraint-heavy)
Run them through a grounded search pipeline (retrieve → generate → extract claims → validate citations)
Score results against a clear taxonomy and thresholds (because “acceptable” depends on the use case)
Provide a short “flight recorder” trace explaining:
what failed
why it likely failed
what to do next

Why did I include MicroGPT in the Hallucination Lab? 
Because most leaders and practitioners know hallucinations exist, but the mechanics still feel mystical.
MicroGPT from Andrej Karpathy is a powerful teaching device: it strips away scale so you can understand the core behavior of language models in a cognitively accessible way.
The point isn’t that a tiny model matches a frontier model.
The point is that the foundational mechanism—probabilistic next-token generation—remains the same, even when the model becomes too large to inspect directly.
Once leaders and builders internalize that, a lot of “hallucination myths” disappear. 

I’ll share demos and early learnings from Hallucination Lab soon.

While I was discussing my recent book publication "The Illustrated Guide to Multi-Agent Systems", an interesting topic of discussion came up. 

How will you do a bake-off, decide and choose which AI agent platform to implement a given MAS? 

This article is an outcome of intense discussions and thought exercises for an AI agent platform framework which I call the AAA framework. 

The AI agent platform landscape is exploding — but most evaluations still rely on feature checklists.

That’s a problem.

A platform with great multi-agent orchestration but weak deployment maturity may never get past prototype.
 A platform with strong governance but low adaptability may become an expensive chatbot.
 And a platform with broad integrations but weak auditability can become a serious risk.

 I applied the AAA Framework — Autonomy, Automatability, Accountability — as a practical way to evaluate AI agent platforms and products based on what actually matters in production:
Can it operate with the level of independence you need? (Autonomy)
Can it be deployed, integrated, and scaled reliably? (Automatability)
Can it be governed, audited, and trusted at your risk level? (Accountability)

I also compare leading platforms across open-source, enterprise, and hybrid categories using a structured AAA scorecard (with sub-factors, trade-offs, and real-world decision implications).

A few key takeaways:
* There is no universal winner across all 3 A’s
* “Build vs buy” often maps directly to AAA trade-offs
* The biggest gap in many agent initiatives is not demos — it’s the A2 + A3 gap (production readiness + governance)

If you’re evaluating AI agent platforms for enterprise use, this article gives you a more defensible way to think beyond feature marketing and toward use-case fit.

Would love your perspective: What’s the #1 factor you prioritize when evaluating an AI agent platform today?

#AIAgents #AgenticAI #AIArchitecture #AIAgentPlatforms

Introduction The AI agent platform landscape has exploded. Dozens of frameworks and products now claim to help organizations build, deploy, and manage

Open article: Applying the AAA Framework: A Comparative Evaluation of Top AI Agent Platforms by Harsha Srivatsa • 8 min read

Applying the AAA Framework: A Comparative Evaluation of Top AI Agent Platforms

When I read the Mar 5 2026 report from Anthropic titled 
"Labor Market Impacts of AI" [https://lnkd.in/gWF2M6Kf], it set off trepidation and future anxiety in me.  

As a white collar AI professional, I cannot brush away the impacts of AI on my and others future work prospects. After all, I am Human (still). 

In my earlier article, https://lnkd.in/gFJ_K5fN I had a rather spicy take on what I called AI anticipation paradox, where I highlighted that companies are making permanent workforce decisions based on temporary assumptions about a technology (AI) that hasn't proven itself. 

The Anthropic report had a more sobering effect that one must prepare for what seems to be inevitable. 
* Companies may start thinking about "Resources" and the Human factor maybe sidelined
* The current clarity of company strategy and business management which has stood the test of time, may devolve into chaos as decisions are made more on potential and promises rather than performance
* Entry level jobs evaporation is more or less certain

Bottom Line: “The first labor shock of AI will not be from automation; it is company management acting as if uncertain capability were already realized value.”

AI may not eliminate work as fast as the hype suggests—but it may distort hiring, judgment, and organizational design much sooner than most leaders realize. 

I have said before that "Hope is not a Strategy" but I do hope that companies adopt a new model that I came up with —the “Nowcasted Organization”—as a more disciplined path for redesigning work, talent pipelines, and governance in an AI-augmented future. 

Then perhaps we can regain some calm and clarity (hopefully).

The core problem is no longer AI capability, it is decision irreversibility The Spreadsheet That Fired Them First The board pack arrives on a Thursday

Open article: The AI Anticipation Paradox 2.0: Nowcasting AI, Redesigning HR, and the Next Architecture of Work by Harsha Srivatsa • 15 min read

The AI Anticipation Paradox 2.0: Nowcasting AI, Redesigning HR, and the Next Architecture of Work

taplio

The Battle

Bosky Mukherjee

Harsha Srivatsa

Followers

Posts

Engagements

Likes

Performance ScoreBosky Mukherjee's LinkedIn Performance

Performance ScoreHarsha Srivatsa's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Bosky Mukherjee

Harsha Srivatsa

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Bosky Mukherjee's LinkedIn Performance

Performance ScoreHarsha Srivatsa's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreBosky Mukherjee's LinkedIn Performance