Two new studies from Anthropic and McKinsey just dropped, and the message is clear. AI is not a pilot anymore. It is a measurable force changing how companies operate and how people work.

This edition cuts through the noise. What AI is actually doing, how much time it saves, who is benefitting, and what the next five years of human AI collaboration look like.

TDLR:

• What is happening 👀

• Under the Hood ⚙

• Why You Should Care 🔍

• Who is Doing What 💡

• Challenges Ahead ⚠️

• Future Outlook 🔮

• The Bros Take 🤔

Anthropic analysed one hundred thousand Claude conversations and found that AI cuts task time by eighty percent on average. Not theory. Actual workflows.

McKinsey mapped skills across professions and concluded that fifty seven percent of all work hours in the United States can already be automated with today’s tech.

Agents, reasoning tools, analytics automation, and early robotics are all part of the mix.

Both studies show the same thing. AI is now part of real work, not a side experiment.

Anthropic compared how long tasks take with and without AI and validated their estimates with real world data like Jira tickets. It is the strongest evidence so far that AI saves time in consistent and repeatable ways.

McKinsey examined how skills are changing. Skills are not disappearing. They are evolving. Writing becomes prompting and editing.

Coding becomes architecture and debugging. Analysis becomes supervision.

If Anthropic’s eighty percent task reduction scales across the economy over ten years, labour productivity could rise by one point eight percent annually.

That nearly doubles the long term trend.

McKinsey sees up to two point nine trillion in annual value by 2030 from agent driven workflows across finance, marketing, support, legal, supply chain, and software.

High wage roles feel the impact first. Investment analysts, engineers, strategists. AI eats the repetitive, information heavy work that slows experts down.

Fast adopters
• Finance
• Legal
• HR
• Software engineering
• Marketing and analytics

Emerging adopters
• Customer support
• Sales operations
• Education and training

Slow but moving
• Public sector
• Healthcare administration
• Manufacturing support

58%t of companies are already testing AI agents for automation and workflow orchestration.

AI is fast, companies are not
• Human approvals are now the bottleneck.
• If AI finishes in minutes but sign offs take days, productivity collapses.

Skill confusion
• Seventy percent of skills will evolve rather than disappear.
• Workers need clarity on how their roles shift.

Trust gaps
• Leaders like the results but still doubt accuracy and over reliance.

Messy data
• AI saves time, but it cannot fix broken or chaotic workflows.

Talent shortages
• Demand for AI fluency is up nearly seven hundred percent.
• Companies cannot hire or train fast enough.

Hybrid work becomes the norm
• People will lead teams of agents rather than doing all execution themselves.

ROI benchmarking becomes standard
• Companies will compare AI performance the same way they track financial KPIs.

Work redesign accelerates
• Approval flows, job descriptions, and compensation get rebuilt for AI first workflows.

Skills evolve
• Coding, writing, design and strategy survive but change completely.

Agentic systems expand
• Every major enterprise expects higher AI investment next year.
• Agents will run core processes across finance, operations, marketing and support.

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Everyone fears job destruction, but that is not the real story. The shift is structural. Work is being redistributed, not erased.

58% of workflows are automatable. 80% time savings are real. The limit now is human coordination and outdated systems.

Companies that redesign around AI will rocket forward. Those that wait will fall behind fast.

AI is not ending work. It is ending slow work. And that changes everything, mates.

And that's it for today! Thanks for reading ♥️

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