𝐄𝐯𝐞𝐫𝐲 $1𝐁 𝐢𝐧 𝐓𝐞𝐜𝐡 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐋𝐨𝐬𝐞𝐬 $109𝐌 𝐃𝐮𝐞 𝐭𝐨 𝐌𝐢𝐬𝐚𝐥𝐢𝐠𝐧𝐦𝐞𝐧𝐭

If you’re a CTO, Engineering Director, or Product Leader, you’ve seen it happen. Your team builds something brilliant, but it’s not what the business asked for. They needed a bike. You delivered a rocket. 

This pattern is amplified in today’s AI era, where companies rush to launch AI products only to discover their cloud spend and API costs outweigh the often vague productivity gains by a factor of ten. Sure, it is a brilliant AI product but is it really adding true business value?

After 15 years in technology, speaking on hundreds of stages, and coaching hundreds of leaders to create greater impact, my mission is simple: 𝐟𝐢𝐱 𝐭𝐡𝐢𝐬 𝐦𝐢𝐬𝐚𝐥𝐢𝐠𝐧𝐦𝐞𝐧𝐭 𝐬𝐨 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐞𝐚𝐦𝐬 𝐜𝐚𝐧 𝐜𝐫𝐞𝐚𝐭𝐞 𝐠𝐫𝐞𝐚𝐭𝐞𝐫 𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐧 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬.

Sure, agile methodology and tight feedback loops help, but they’re band-aids, not cures.

The real problem?

𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐞𝐚𝐦𝐬 𝐧𝐨𝐭 𝐭𝐫𝐮𝐥𝐲 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐡𝐞𝐚𝐫𝐭 𝐚𝐧𝐝 𝐬𝐨𝐮𝐥 𝐨𝐟 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐧𝐞𝐞𝐝𝐬.

Welcome to signature framework, Them Awareness. It helps : 
👉Tech Teams Listen Deeply
👉Understand Communication Styles 
👉Remove Internal Biases
👉Execute Business Goals

𝐬𝐨 𝐭𝐡𝐚𝐭 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐞𝐚𝐦𝐬 𝐜𝐚𝐧 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐟𝐮𝐞𝐥 𝐫𝐞𝐚𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐠𝐫𝐨𝐰𝐭𝐡

𝐇𝐄𝐑𝐄’𝐒 𝐖𝐇𝐀𝐓 𝐈 𝐎𝐅𝐅𝐄𝐑: 

►	Tailored speaking engagements and workshops on the following topics:. 
         •	How Not to Build a Rocket When Asked For a Bike
         •	Future proofing in the Era of ChatGPT
         •	Mastering Technical Presentations
►	One-on-one and group coaching programs
►	Content here on LinkedIn. Hit "follow" button

If any of this resonates with you, book me to speak at your next leadership event or company retreat by sending me an email to aditya@whoweare.io. I look forward to speaking with you.

Want to achieve literally anything?

You only need two things:

1. A goal that excites you
2. A process you actually enjoy

That’s it.

But here’s the catch. Most people only have one.
They set a big goal but hate the journey.
Or they love the process but never aim at anything meaningful.

Without the goal, you’re spinning in circles.
Without the joy, you quit halfway through.

The magic happens when you combine both.
You’re fired up about where you’re going
and having a good time getting there.

That’s when results get inevitable.

Aditya Guthey, Speaker, Trainer and Coach

𝐄𝐯𝐞𝐫𝐲 $1𝐁 𝐢𝐧 𝐓𝐞𝐜𝐡 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐋𝐨𝐬𝐞𝐬 $109𝐌 𝐃𝐮𝐞 𝐭𝐨 𝐌𝐢𝐬𝐚𝐥𝐢𝐠𝐧𝐦𝐞𝐧𝐭

If you’re a CTO, Engineering Director, or Product Leader, you’ve seen it happen. Your team builds something brilliant, but it’s not what the business asked for. They needed a bike. You delivered a rocket. 

After 15 years in technology, speaking on hundreds of stages, and coaching hundreds of leaders to create greater impact, my mission is simple: 𝐟𝐢𝐱 𝐭𝐡𝐢𝐬 𝐦𝐢𝐬𝐚𝐥𝐢𝐠𝐧𝐦𝐞𝐧𝐭 𝐬𝐨 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐞𝐚𝐦𝐬 𝐜𝐚𝐧 𝐜𝐫𝐞𝐚𝐭𝐞 𝐠𝐫𝐞𝐚𝐭𝐞𝐫 𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐧 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬.

Sure, agile methodology and tight feedback loops help, but they’re band-aids, not cures.

The real problem?

𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐞𝐚𝐦𝐬 𝐧𝐨𝐭 𝐭𝐫𝐮𝐥𝐲 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐡𝐞𝐚𝐫𝐭 𝐚𝐧𝐝 𝐬𝐨𝐮𝐥 𝐨𝐟 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐧𝐞𝐞𝐝𝐬.

Welcome to signature framework, Them Awareness. It helps : 
👉Tech teams Listen Listen Deeply
👉Understand Communication Styles 
👉Remove Internal Barriers 
👉Execute Business Goals

𝐬𝐨 𝐭𝐡𝐚𝐭 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐞𝐚𝐦𝐬 𝐜𝐚𝐧 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐟𝐮𝐞𝐥 𝐫𝐞𝐚𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐠𝐫𝐨𝐰𝐭𝐡

𝐇𝐄𝐑𝐄’𝐒 𝐖𝐇𝐀𝐓 𝐈 𝐎𝐅𝐅𝐄𝐑: 

►	Tailored speaking engagements and workshops on the following topics:. 
         •	How Not to Build a Rocket When Asked For a Bike
         •	Future proofing in the Era of ChatGPT
         •	Mastering Technical Presentations
►	One-on-one and group coaching programs
►	Content here on LinkedIn. Hit "follow" button

If any of this resonates with you, book me to speak at your next leadership event or company retreat by sending me an email to aditya@whoweare.io. I look forward to speaking with you.

Delivered Talks at 100+ Events Worldwide| Coached 100s of Leaders to Build and Scale High Impact Tech Teams| Spent Over a Decade Building Data and AI Systems

Workday is being sued because its AI recruiting platform allegedly filters out candidates over 40.

As someone in that age group, I felt offended.
I always thought 40 was young.
Apparently, AI disagrees.

It’s one thing to face bias from people.
It’s another to be judged and rejected by a machine before you even get a chance.

Because somewhere in the data, someone decided that 40 means "less capable."
And now the algorithm carries that belief forward, silently and at scale.

AI doesn’t invent prejudice.
It learns it from us.
Then it executes it. Perfectly.

This is bigger than one company.
We need serious conversations around ageism, data bias, and the responsibility of tech.

Fairness shouldn’t expire at 40.
And AI should never be allowed to decide who still counts.

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