“Manage the Machine” Book Review: Human-AI Collaboration at Work

By: Brittany Teepe

 

I asked AI to help me look over this book review.

That feels like either a very appropriate introduction to this book or the beginning of a workplace ethics investigation.

Fortunately, Manage the Machine: How to Harness Human-AI Collaboration at Work by Paula Goldman gave me a pretty good framework for figuring out which one it is.

The conversation around AI at work has gotten very interesting, very quickly. We’re asking AI to write emails, summarize meetings, analyze data, create presentations, screen resumes, brainstorm ideas, and sometimes even tell us what we meant when we weren’t quite sure ourselves. And, if we’re being honest, it can be pretty impressive.

But there’s one thing AI still hasn’t figured out: people are complicated. We bring context, emotion, history, relationships, bad days, great ideas, office inside jokes, and gut feelings to work with us every day. We also bring the knowledge that when someone says, “Sure, that’s fine,” they may actually mean, “Absolutely not, and I’m going to think about this in the shower tonight.”

That’s where Manage the Machine gets interesting.

Goldman isn’t asking us to choose between people and technology. Instead, she challenges us to think about how humans and AI can work together; and, perhaps just as importantly, where the human needs to stay firmly in the driver’s seat. Goldman, who serves as Salesforce’s Chief Ethical and Humane Use Officer, approaches AI in the workplace through a practical, human-centered lens, looking at everything from people management and talent acquisition to customer service, creativity, and human-AI teams.

The Goal Isn’t to Become More Like a Machine

There’s an understandable temptation to measure AI by how much work it can take off our plates. Fewer emails. Faster reports. Quicker analysis. More automation. More productivity.

But what happens when we start measuring the success of technology solely by how much human involvement we can eliminate?

That’s where things get tricky.

The point of technology shouldn’t necessarily be to make people unnecessary. Maybe it should be to make people more available for the parts of work that actually require people.

A manager who spends less time pulling reports can spend more time coaching an employee. A recruiter who spends less time sorting through applications can spend more time getting to know candidates. An HR professional who can automate repetitive administrative work can spend more time helping a leader navigate a difficult employee situation.

Those are very different outcomes. The first replaces time. The second gives it back.

And I think that distinction is one of the most important ideas for leaders to consider as AI becomes a bigger part of the workplace.

Human Judgment Still Matters in an AI-Powered Workplace

This is where the book really resonated with me from an HR perspective.

We can teach a machine to recognize patterns. We can give it data. We can ask it to generate a recommendation. But there are moments at work where the answer isn’t sitting neatly inside a spreadsheet.

What do you say to an employee who has just received difficult feedback? How do you help a manager who has never had to navigate a sensitive employee conversation? How do you build trust with someone who is skeptical of a new process? How do you recognize that the employee who suddenly seems disengaged might actually be dealing with something completely unrelated to work?

Those moments require judgment. They require empathy. And, most importantly, they require another human being. AI can be a tool in those conversations, but it shouldn’t become the conversation.

That distinction is going to become increasingly important as organizations figure out where AI belongs in their workplaces. Goldman makes a similar distinction throughout Manage the Machine, emphasizing the importance of determining which work can appropriately be delegated to AI and where humans should take the lead.

The goal shouldn’t be to remove humans from every process possible. Instead, leaders should be thinking about where technology can make people better, more effective, and more available to do the work that technology can’t.

What Can AI Give Back to Employees?

Instead of asking, “What can we automate?” maybe we should start asking, “What could our people do if we gave them back the time?”

That’s a much more interesting question.

Because efficiency is only valuable if we know what we’re going to do with the efficiency we gain. If AI saves a manager five hours a week, but those five hours simply get filled with five more hours of meetings, have we really improved anything? If technology makes recruiting faster, but candidates feel like they’re interacting with a chatbot at every step, have we created a better experience? And if an employee can get an instant AI-generated answer to almost any question but no longer knows who to go to when they need actual support, what have we gained? Technology can make work faster, but it cannot decide what work is worth doing.

That is still a leadership responsibility.

And this is one of the reasons the conversation around AI and the future of work needs to go beyond productivity. Saving time is valuable, but what we do with that time may ultimately be more important.

What AI Means for HR and the Employee Experience

HR is going to play an interesting role in the AI transition because we sit right in the middle of many of the biggest questions AI is creating for organizations: hiring, performance management, learning and development, employee communication, workforce planning, career development, and, perhaps most importantly, the employee experience.

Goldman dedicates an entire section of Manage the Machine to “AI and People Operations,” including people management, talent acquisition, career mobility, and human-AI teams.

That means HR can’t simply be the department that asks, “Is this tool compliant?” We also need to be asking, “Is this useful? Is it understandable? Is it fair? Does it make the employee experience better? And where does the human need to stay involved?”

Those questions may not have simple answers, but they are exactly the kinds of questions organizations need to be asking before technology becomes so embedded in a process that nobody remembers why the process existed in the first place.

And I think that is where HR has a real opportunity. We can help organizations adopt new technology without losing sight of the people who ultimately have to use it, work alongside it, and live with the decisions it influences.

Manage the Machine. Don’t Let It Manage You.

The title of Goldman’s book is what ultimately stuck with me.

Manage the Machine.

Not Let the Machine Manage. Not Replace the People. Not even Become an AI Expert.

Manage the machine.

There’s something wonderfully practical about that.

AI is a tool. A powerful one, a rapidly evolving one, and one that will undoubtedly change the way we work. But tools are only useful when we know what we’re trying to accomplish with them.

Goldman’s framework is ultimately less about predicting some distant future and more about helping organizations navigate the workplace they are already in. Her approach centers on trust, human judgment, collaboration, and the guardrails needed to make AI work responsibly.

The challenge for leaders isn’t simply learning how to use AI. It’s learning how to use AI without accidentally automating the humanity out of work.

Because the irony of all this incredible technology is that the more capable our machines become, the more intentional we may need to be about being human.

Key Takeaways from Manage the Machine

Don’t automate just because you can. Before handing a task over to AI, think about what could be lost along with the work. Sometimes the “inefficient” human part of a process is actually where the value lives.

Give time back to people, not just the business. If AI creates efficiencies, think about how those efficiencies can create more opportunities for coaching, creativity, connection, and problem-solving.

Keep humans accountable. AI can provide information and recommendations, but leaders still need to own the decisions being made. Human oversight and meaningful guardrails are central themes in Goldman’s approach.

Remember that context matters. People aren’t data points. Two employees can have identical performance numbers and completely different stories behind them.

Teach people how to work with AI, not just how to use it. The real opportunity isn’t simply knowing which buttons to push. It’s understanding when AI is helpful, when it isn’t, and when a human needs to step in.

The Best Part of the Future of Work Is Still Us

There is a lot to be excited about when it comes to AI. There are also plenty of reasons to be thoughtful about it.

But Manage the Machine left me thinking less about what AI might take away from the workplace and more about what it might give back: more time, more capacity, more room for creativity, more opportunities for meaningful conversations, and more space for leaders to actually lead.

If we get this right, AI doesn’t have to make the workplace less human. Maybe it can help us make it more human.

And honestly, that sounds like a future worth working toward.