Karat

04/14/2026

AI is reshaping where elite engineering talent is concentrated, and it's amplifying the impact of top engineers — which puts a premium on salaries in AI innovation hubs. ‼️

Download the full 2026 Top Cities report for more insights https://karat.com/resource/top-cities-to-hire-engineers/

Bay Area software engineers now pull a median $272K a year, per Karat.

04/08/2026

Can you guess the No.1 top city for top engineering talent in the world?📍

Seattle, Washington, has claimed the top spot, ranking #1 globally with 38.2% of engineers estimated to be in the top quartile among global candidates.

Seattle’s leadership in engineering quality reflects the region’s deep concentrations of cloud infrastructure expertise, AI platform development, and advanced product engineering, ushering in the human + AI era.

Read our latest blog to learn why Seattle is the top city for software engineering talent in 2026:

Read more about why Seattle beat out all other U.S. cities in elite engineering talent and some of the hiring challenges companies might face.

04/02/2026

For the past couple of years, software have been dispersing across the globe. More remote work, lower costs, and distributed teams meant that organizations and top talent were fleeing coastal tech hubs.

👉 Today, there’s a new reality. Data from our 2026 Top Cities report shows just how much has changed.

Engineering talent is re-concentrating in high-density hubs, and AI-driven cities are re-shaping how companies typically hire.

🔗 Our latest blog breaks down three key trends shaping this shift + the top 20 U.S. cities for engineering talent: https://karat.com/the-top-u-s-cities-for-engineering-talent-in-2026/

03/31/2026

ICYMI: Our 2026 Top Cities rankings for engineering talent are live! 📍

This year's rankings help leaders track the evolution of global talent markets + pinpoint where the highest concentrations of top talent are located worldwide.

Curious if your city made the list?

Swipe to discover the top ten cities with the highest concentrations of top-performing candidates in the era. ⬇️

03/31/2026

As continues to reshape the hiring landscape, one shift is becoming increasingly clear: domain expertise is rising in value.

Our CEO and Co-Founder, Mohit Bhende, recently joined leading experts on a panel to discuss this evolution, sharing that “the generalist era is ending.”

The real differentiator? Engineers who deeply understand the industries they’re building for.

Read the full breakdown.👇

Six experts across economics, leadership, hiring, and workplace psychology unpack what’s really happening with AI & the workforce right now.

03/26/2026

Karat’s 2026 Top Cities rankings for engineering talent are live!

Karat ranked the top 40 cities with the highest concentrations of top-performing interview candidates. The report also covers labor costs based on median salaries, and details about the size and composition of each city's talent pool.

Here’s the reality: is widening the gap between top-performing engineers and the rest, making access to elite talent more critical than ever.

Stop guessing where to focus your technical hiring efforts; let the data guide your strategy. Dive into the full report to explore where top talent is concentrated globally.

Check out the interactive landing page and download the full report: https://karat.com/resource/top-cities-to-hire-engineers/

03/10/2026

“There is a shortage of enough engineers on the planet who can interoperate with AI, build with AI, but—especially in the financial services space—implement what I would call human judgment and decision-making so that money gets transferred to the right place,” said our Co-founder & CEO, Mohit Bhende.

The opportunity now is clear: organizations that can identify and evaluate AI-ready engineering talent will be best positioned to modernize safely while accelerating innovation. 💡

More via the latest from IT Brew:

“There’s a huge opportunity with AI to get ahead of it and modernize much faster,” Karat CEO says.

02/24/2026

POV: You’re a FinServ engineering leader wondering how AI is actually being used inside engineering teams. 🤔

Our latest report, How AI Is Transforming the Engineering Workforce in Financial Services, has the answers.

Discover how is redefining engineering quality, talent strategy, and hiring decisions in financial services — and what leading organizations are doing differently to stay competitive. 👇

New research on how AI is transforming the software engineering workforce at financial services companies. Learn how AI is widening the gap between strong and weak engineers, where FinServ companies are falling behind their tech counterparts, and how human + AI talent evaluation techniques are drivi...

02/23/2026

AI isn’t replacing human interviewers; it’s making them more important than ever.

Our latest research shows that companies adopting human + AI technical interviews expect measurable gains over the next three years:

📉63% expect coding errors to decrease
⚡49% expect faster time to market
💡76% expect to ship more products and features

The real shift in technical hiring isn’t whether candidates use AI; they already do.

The question now is how best to assess candidate AI readiness: how they frame problems, evaluate outputs, make trade-offs, and take ownership when ambiguity arises.

When interviews focus only on whether final code compiles, companies create false signals:
❌ Weaker candidates can rely on AI without understanding
❌ Strong engineers get penalized for working efficiently

👉SVP of Interview Delivery (Operations) & Content, Rachael Granby, shares how to assess AI-readiness in our latest blog:

AI hasn’t made human interviewers obsolete—it’s made them more important.The real hiring signal isn’t whether candidates use AI, but how they reason, evaluate, and take ownership when they do.

02/11/2026

AI is transforming how software gets built.

In financial services, that transformation is colliding with legacy systems, regulatory complexity, and pressure to do more with fewer engineering resources.

Most organizations are investing in AI tools, but far fewer are modernizing how they evaluate and scale engineering talent in an AI-augmented world.

📊 Our new AI Workforce Transformation: Financial Services Report shares insights from 400+ engineering leaders across the U.S., India, and China on:

➡️ How AI is actually being used inside FinServ engineering teams
➡️ Why strong engineers are now seen as worth 3x+ their compensation
➡️ Where financial services are falling behind tech in AI readiness
➡️ Why traditional talent evaluation methods no longer work

For CIOs and CTOs, engineering quality is no longer just a delivery metric; it’s a risk, resilience, and competitiveness issue.

See what leading organizations are doing differently:

New research on how AI is transforming the software engineering workforce at financial services companies. Learn how AI is widening the gap between strong and weak engineers, where FinServ companies are falling behind their tech counterparts, and how human + AI talent evaluation techniques are drivi...