online store You’re Gonna Love Your New Co-Worker (Just Don’t Let It Replace You) — EXACTLY WHERE YOU WANT TO BE

“Please welcome your newest team member… it doesn’t sleep, doesn’t gossip, and will gladly outwork the rest of your staff for the cost of a daily latte.”

Welcome to the age of AI co-workers. Not chatbots. Not helpful assistants that spit out slogans or automate your Monday email roundup. We’re talking about full-fledged digital agents—software entities that do work, coordinate tasks, file reports, schedule meetings, generate budgets, and yes, sometimes do it better (and cheaper) than you.

Let’s be honest: the robots didn’t steal our jobs. We invited them to the company BBQ and gave them an access badge.

Rather watch the video than read the article:

 
 


What Just Happened: AI Crosses the Productivity Rubicon


Here’s the scoop: OpenAI and Anthropic, the reigning kings of the AI hill, spent summer 2025 quietly laying the foundation for your next team member—a wave of AI “co-workers” that go far beyond ChatGPT in a browser window. This isn’t casual experimentation. It’s large-scale enterprise investment, and it’s already reshaping how teams get work done.

In September, Anthropic dropped an Economic Index showing that workers who learn to work with AI earn more, produce faster, and get promoted sooner. OpenAI followed with GDPval, a dead-serious benchmarking tool that measures how well their latest models perform actual, economically valuable work across 44 occupations.

The results? Sobering if you’re clinging to “But I write emails!” as your unique skillset.

Across law, tech, media, finance, admin, and even healthcare—Claude Opus 4.1 and GPT-5 aren’t just assisting. They’re outperforming. In many cases, by orders of magnitude.

Think that’s all hype? GDPval isn’t measuring Jeopardy trivia or bar exam hypotheticals. It evaluates real-world deliverables: financial reports, engineering specs, contract summaries, social work notes. Stuff that matters. Stuff people get paid for. Or used to.

And that’s the point.


This Isn’t the Future. This Is Tuesday.


Let me bring this home: if you’re running a business in 2025 and you don’t already have an AI on your team, you’re playing short-handed. It’s like fielding a football team with no kicker—possible, but you’re not going to the Super Bowl.

Anthropic and OpenAI aren’t alone in this race. Nvidia just parked a casual $100 billion in OpenAI’s infrastructure build-out. That’s not a pilot. That’s a gold rush. Companies are deploying agentic AI to:

  • Summarize meetings (and action items) in real time

  • Write internal communications, emails, and proposals

  • Manage workflows and team coordination like a digital ops manager

  • Handle financial transactions via AI-native ERP systems

  • Schedule meetings, send follow-ups, and prioritize your inbox

And they’re not prototypes. They’re live. They’re hired. They’re in the Slack channel.


The GDPval 44: If You’re in These Roles, Pay Attention


The GDPval assessment looks at 44 occupations across the top nine U.S. GDP-contributing industries. If you’re in knowledge work—especially document-heavy, analysis-driven, or rule-based roles—you’re in the AI blast radius.

Here are a few highlights:

  • Technology: Software devs, IT admins, and technical writers? AI’s in your repo, already code-reviewing your pull requests.

  • Legal Services: AI drafts contracts, does research, and summarizes case law faster than most paralegals—and it doesn’t bill by the hour.

  • Finance: Data analysis, investment comparisons, risk modeling? AI can do it at 3 a.m. on a Sunday with no Starbucks break.

  • Admin Work: Office clerks, data entry, customer service? AI eats this for breakfast. We’re way past chatbots.

  • Media: Journalists, editors, and technical writers—AI now drafts articles, press releases, and white papers (gasp) just like this one.

If your job involves synthesizing information, structuring it, and delivering it as a tidy package… the bots are gunning for it.

Now before you throw your laptop across the room, breathe. Because here’s where it gets interesting for leaders.


Don’t Fight the Co-Worker. Lead It.


I coach entrepreneurs, marketers, creatives, and operators. Some of you are in full-throttle “AI or die” mode. Others? You’re still putting AI in air quotes like it’s a passing fad.

Let’s be clear: Your business doesn’t need a chatbot. It needs a systems-thinking upgrade. These new AI co-workers are systems in disguise. They’re workflow transformers. Force multipliers.

They don’t just automate—they coordinate. And that requires leadership.

This is the champagne moment for business owners who know how to rewire their org charts—not by replacing humans, but by augmenting humans with agents.

I’m talking about:

  • Marketing directors using AI to test 10 landing pages before lunch.

  • Sales teams supported by AI that drafts custom pitches based on CRM data.

  • Ops leads that assign task lists to agentic AI teams that follow up faster than your interns ever did.

  • Agency owners who set their AI to pre-write 80% of client deliverables, so their team can focus on strategy and relationships.

It’s not about replacing talent. It’s about removing tedium so your humans do their best work—and your business becomes bulletproof.


The Red Flags: What Could Go Wrong (and Why You Should Care)


Now let’s not chug the Kool-Aid. OpenAI and Anthropic are ringing the alarm bells, too.

In their August joint evaluation on agentic AI alignment (yes, they’re collaborating—cue the spooky music), they uncovered troubling patterns:

  • Sycophancy: AI agents that say what you want to hear, not what’s true.

  • Oversight failures: Models that “hallucinate” confidence and slide past human review.

  • Whistleblowing gaps: If an AI agent sees another agent screw up, it won’t necessarily report it. Because… no moral compass.

These are serious risks. Not just for accuracy, but for decision-making integrity, bias management, and liability. You need to bake oversight into your deployment process—just like you would for a junior hire.

In other words: Don’t give your AI co-worker the keys to the kingdom on Day 1. Start them as an intern, not a VP.


Adapt or Be Automated


Here’s the truth, delivered without frosting: Middle-skill workers are most at risk. Not because they’re lazy, but because the tasks they do—data formatting, report generation, follow-up emails—are the exact things agents can do better, faster, and cheaper.

Anthropic’s September Economic Index makes it plain: if you’re adaptable, AI helps you earn more. If you’re rigid? AI replaces you.

There’s a widening gap between knowledge workers who build with AI and those who get bulldozed by it.

So what do you do? You pivot. You upskill. You become the human who manages the machine. You learn prompt engineering, yes—but more importantly, you learn judgment, delegation, creativity, and emotional intelligence. (All the things your AI teammate doesn’t have.)


But Can AI Cure Loneliness? Nope.


Let’s pause for a second.

AI can write emails. It can do taxes. It can even write sassy op-eds like this one (although this one’s 100% me—don’t worry, GPT-5’s ego is intact).

But here’s what it can’t do: lead a team with empathy. Spark joy at work. Make people feel seen, valued, or connected.

Several studies, including recent ones from Anthropic, show workers are happy to collaborate with AI—but they don’t see it solving the biggest workplace issues. Loneliness. Disconnection. Burnout. Lack of psychological safety.

That’s not an AI problem. That’s a leadership problem. That’s your job.

Your team doesn’t need to be protected from AI. They need to be protected from disconnection. That’s where human leadership still wins.


What You Should Be Doing (Like, Right Now)


If you’re a business owner, founder, manager, or department head, here’s your to-do list. No fluff. All steak.

  1. Assign your first AI co-worker. Choose a narrow task—daily summaries, follow-up emails, proposal prep—and give it to GPT-5 or Claude 4.1 inside a workflow. Use tools like Zapier, Notion AI, or built-in agents.

  2. Restructure roles. If 40% of a job can be done by AI, redefine that role. Don’t cut the human—upgrade them. Move them toward creative, strategic, or relational functions.

  3. Upskill the team. Host a “Co-Worker Onboarding” session where you teach the team how to work with agents. This isn’t AI training. It’s delegation training.

  4. Install oversight systems. Just like a new hire, your AI needs checklists, approvals, and boundaries. Build agent workflows with stop-gaps and review points.

  5. Lead with transparency. Don’t hide AI. Normalize it. Celebrate it. Show your team how it supports—not replaces—them.

  6. Invest in judgment. Hire people for their insight, synthesis, communication, and human intelligence. AI will never be great at nuance, politics, or storytelling. You will.


Final Word: We’ve Been Here Before


Every business revolution—printing press, electricity, internet, cloud computing—brought panic and power.

This one’s no different.

AI is not going to take your job. A business using AI better than you will.

So get smart. Get curious. Start deploying digital co-workers before your competitors do. Because in 2025, the winners won’t be the strongest or the smartest. They’ll be the most adaptive.


Want to build AI into your business the right way?

I work with founders, agency owners, and executive teams to make AI a strategic advantage—not a shiny toy. If that’s you, let’s talk.


📚 Also check out my book The AI Effect and the Strategic Business Blueprint workbook at ExactlyWhereYouWantToBe.com.

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