Block is firing half its staff.

4,000 employees gone.

Cofounder Jack Dorsey said, “Within the next year, I believe the majority of companies will reach the same conclusion and make similar structural changes.”

AI technology fundamentally changes how we operate in the world.

This isn’t the first time technology has changed humanity.

The printing press expanded knowledge and displaced scribes and copying houses.

The steam engine scaled production and displaced weavers, textile makers, and agricultural laborers

The internet globalized communication and enabled digital commerce while displacing middlemen at scale.

AI is different, due to the speed and scale of displacement.

Every person, at every level, in every industry is impacted by AI.

This pressure pushes us to try new things.

To experiment with new AI tools.

I encourage this!

That said, AI makes mistakes, and the mistakes can be big.

This week, an AI agent gave away a software developer’s crypto currency, because it thought it was funny.

AI is unpredictable.

Understanding how to use AI agents safely is probably the MOST VALUEABLE skill you can grow right now.

I hear people say, “Why would I train AI to replace me?”

Because replacing your labor is insanely valuable to you, your clients, your organization.

If we develop the skill to replace ourselves, we enhance our value 10 fold.

This is where I’m at.

Learn how to use AI to replace myself safely and predictably.

What steps are you taking to make this happen?

Everybody is focused on the politics around the speech. What barely gets discussed is the AI decision underneath it and how it affects long term opportunity.

Trump said companies building massive AI data centers may need to generate their own electricity because the current grid cannot support the demand. Communities near data centers have already seen rising power costs, and several cities have pushed back or blocked projects entirely. Microsoft and Google have already walked away from deals after local resistance.

AI expansion now depends on energy access as much as software.

More than 2.7 trillion dollars in AI and tech investment commitments were highlighted, including 90 billion tied to AI and energy development.

AI runs on compute.

Compute runs on power.

Watch here.

WiseTech Global is cutting about 2,000 roles as part of a company wide AI overhaul affecting operations in roughly 40 countries.

This is structural redesign.

The company is integrating AI deeper into logistics software, automation systems, and internal workflows. When a firm operates across dozens of countries, standardizing systems through automation removes duplicated work across regions. That reduces the need for local support layers, administrative roles, and repetitive processing teams.

This tells you something important.

Global companies are not experimenting with AI in small pockets anymore. They are rebuilding operating models around it. When processes get unified and automated across 40 countries, headcount drops fast.

Read more here.

Commonwealth Bank of Australia has cut around 300 jobs while preparing staff for what leadership describes as an AI-driven transformation inside the bank.

Banks run on data, compliance, reporting, risk modeling, and internal coordination. Those are exactly the categories where automation increases output per employee.

When a bank talks about preparing workers for an AI-driven future while reducing headcount at the same time, it signals reallocation. Some roles will disappear. Others might expand.

This is how large financial institutions rebalance their workforce. Reduce exposure in repetitive analysis and reporting roles. Increase investment in data science, AI oversight, cybersecurity, and systems management.

Read more here.

You can’t have courage without fear.

- Mark Savant