The uncomfortable truth

Your engineering team is becoming obsolete

Not because they're bad. Because the ground is shifting beneath everyone.

See the data
95%

of enterprise AI projects fail

Not because of bad models. Because teams don't know how to build with them.

Source: MIT "State of AI in Business 2025"

You can't hire your way out

  • 3.2:1 Demand-to-supply ratio for AI talent globally
  • 89 Days average to fill a single AI/ML role
  • 67% Salary premium for AI roles vs traditional engineering

The window is closing

  • 40% Of workers need major skill updates by 2030 (WEF)
  • -25% Drop in entry-level tech hiring from 2023-2024
  • 2026 When first-mover advantages in AI narrow significantly

Failure is the default

  • 42% Of companies abandoned most AI initiatives in 2025
  • 5% Of AI initiatives produce measurable returns
  • $5.5T At stake globally from skills gap by 2026

The people building AI are telling you something

Listen to what the CEOs are saying.

"

We're not hiring software engineers in 2025. We're seeing a 30% productivity boost from AI tools.

Marc Benioff

CEO, Salesforce

"

This year, AI will be a mid-level engineer and write code. We're going to have that this year.

Mark Zuckerberg

CEO, Meta

"

Entry-level jobs are squarely in the crosshairs of automation.

Dario Amodei

CEO, Anthropic

But teams who invest are winning

2.7x

Higher proficiency with formal AI training

$3.70

Return per $1 invested (early adopters)

40%

Productivity boost with AI tools

14%

Revenue increase per employee (AI-advanced orgs)

⏳

Wait and see

  • Watch competitors move faster
  • Pay 67% premiums to poach talent
  • Join the 95% of failed AI projects
  • Explain to the board why you're behind
🚀

Invest in skills

  • Turn existing engineers into AI talent
  • Ship AI features while others plan
  • Join the 5% seeing real returns
  • Build competitive moat through capability

The question isn't if.
It's when.

See how teams are learning Try it yourself