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The Risks of Putting People on Too Many Project Teams

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AMANDA KERSEY: Welcome to HBR On Leadership, case studies and conversations with the world’s top business and management experts—hand-selected to help you unlock the best in those around you. I’m HBR senior editor and producer Amanda Kersey.

With all of the projects that are part of knowledge work, sharing people across multiple project teams has its upsides: cost savings, process improvements, the capability to solve complex problems.

Be ready though, as a project team leader or organizational leader, to manage the risks, which are stress and burnout, rocky transitions, reduced learning and motivation, problems with one project stalling progress for the others.

INSEAD professor Mark Mortensen wrote about these upsides and downsides in a 2017 Harvard Business Review article titled “The Overcommitted Organization.” Which led to this conversation with HBR IdeaCast host Sarah Green Carmichel. In it, Mark explains why so many organizations rely on multiteaming, what managers often overlook about its costs, and how to keep coordination from becoming a bottleneck.

Here’s Sarah.

SARAH GREEN CARMICHAEL: Mark, thank you so much for being here today.

MARK MORTENSEN: Thank you so much for having me.

SARAH GREEN CARMICHAEL: So, how do managers react when you tell them about that kind of risk?

MARK MORTENSEN: This is a topic that comes up quite a bit in executive sessions or consulting with companies. And we start talking about these issues. And the interesting thing is, when I lay this out, what I typically hear is a whole lot of silence, a whole lot of wide-eyed silence of, We’re not really measuring that. And then usually a few scribbled notes of, Maybe we should. For me, I found this fascinating. This is also a big motivator of why we wanted to write this piece: I think this is actually a very important thing and an important message to get out there as something for organizations to be thinking about.

This occurs primarily because the person who has the best understanding of the teams and the projects that any given individual is on is that individual themselves. And the way in which we staff projects today, very often, is almost on a dyadic relationship, right? A manager says, Hey, I really need you on this project. Can I have 20 percent of your time? And what happens as a result is people have these relationships: I’m on this project 20 percent, this project 20 percent, this project 40 percent. A, they don’t always check that the math works. Sometimes they end up with a 137 percent dedication, and that’s obviously a problem. B, nobody knows, nobody has the big picture—or very often, nobody has the big-picture sense of what are all the projects and all the teams that somebody is working on.

SARAH GREEN CARMICHAEL: Let’s just run through, what are the pros for the organization.

MARK MORTENSEN: So, for the organization, as we said, there’s this this idea of efficient use of resources: If I am only needed 50 percent on one project, why not use the other 50 percent of my resources? And also, the learning argument, the information transfer argument, particularly at the level of the organization. If you want the organization, different parts of the organization, to know what’s going on, having those people cross staffed across different projects and different teams is a really good way for doing that.

SARAH GREEN CARMICHAEL: And the cons?

MARK MORTENSEN: Obviously, a lot of the cons come at the individual level or at the team level, and they get aggregated up. The one con that’s really an organizational-level challenge is what I call human capital interdependence. So, you can think of it as, there’s a new type of risk on the block that we haven’t really been thinking of. Managers for years have been thinking about their processes, have mapped them all out in excruciating detail to figure out, If I do X, what’s going to happen after that? What, is it going to be Y? Is it going to be Z? How do I understand that? And part of that is also to understand the risks, right? If I have a failure at this point in my process, what’s going to happen downstream? Now, this is always framed in terms of, This particular task I’m doing, how does it affect the next task, right? And this may be, this is an input to that task. It could be, this is a competitor to that to that output—whatever it might be.

What’s coming into play here is we may have interdependencies based purely on the fact that we share individuals, even though the work we’re doing on these teams is totally separate. If I have a production designer—automotive designer—they might be doing work on a car. They also might be doing work on a truck. They also might be doing work on a motorcycle. Now, every one of those projects, if it shares that one person, is now interlinked. There’s nothing that has to do between those projects. There’s no strong reason that those projects have to be kept lockstep. But now that there’s one person who shared across them, all of a sudden, they find that they are. And what happens, and this is where we see this new risk coming, is an issue that comes based on the motorcycle project or on the, the car project, right? There’s a safety recall. Suddenly all hands on deck. Everybody has to try to fix this problem.

Well, if that takes all those people away from their other projects, that may mean that suddenly the truck project is on standby because we’re missing our two key engineers because they were pulled away. There’s nothing about the car and the truck that on paper look connected. There’s nothing about them that actually means that they have to stay together. But because they share people, now they find that they’re actually bound very tightly. That’s a new type of risk that we face.

SARAH GREEN CARMICHAEL: Who is the most likely person to be on multiple teams and, kind of, suffer from that, sort of, too much of a good thing that this can lead to?

MARK MORTENSEN: So, it’s a tough question. I think different people at different levels and different roles are on it for different reasons. People who are very, very specialized, they have great expertise, they are the deep knowledge on a particular task. I have seen this very, very often also on R&D teams, right, somebody who has advanced degrees, a lot of deep knowledge in a particular thing, that person gets pulled on many different projects because I need somebody with this incredible expertise. Now, very often those people are also very, very expensive. They’re very expensive because they’re so specialized that the cost benefit tradeoff doesn’t quite work, right? For me to own that person 100 percent for me, to have that person 100 percent on my project, is very, very expensive when I only need 10 percent of them. So, one reason this happens is people with deep expertise get allocated on many, many teams because lots of teams need at least a little bit of what they’ve got, and they’re the only one who has that skill.

Now, there’s another very different role that happens, which is more of an administrative role. I mentioned before my colleague and co-author Heidi has done a lot of work and professional service firms. If you’re a senior partner, and your job is maintaining the relationship, you may be that point person, that relationship manager, on multiple, different projects, and so you’re being pulled in; even though you’re not doing deep analytical domain work on that particular piece, you own that relationship, and you have that.

One way to think of it, it’s actually two sides of the same coin: in the one case, it’s deep technical knowledge; and the other is case, it’s the relationship knowledge. It’s the people who have something unique, and they need to be stretched across multiple projects.

SARAH GREEN CARMICHAEL: Teams seemed to sort of gradually expand. You know, there’s this kind of feeling of, Oh, we can just add one more person to this email or one more person to this meeting or one more person to this project. And that often actually results in, like, exponential increase in coordination costs.

MARK MORTENSEN: So, you’re raising a really good point. It’s, it’s an ideal world scenario when I say this only happens because people have this incredibly deep knowledge, and they’re the unique contributors in that way. Sometimes it also happens purely from a, sort of a horsepower argument: We need more people. We have a certain number of resources, and it may not necessarily be specialized skills or specialized knowledge, but we actually just need more hands. We need more hands on deck. And so we have people who are more exchangeable resources in that regard. But I think you’re also raising a really good point: phenomena like “team creep” is, at least, that’s the way that I often talk about it in my sessions, this happens all the time, right? Oh, it would be really great to get somebody with X point of view; or, It would be really great to get somebody from this part of the organization because we want to make sure that we’ve got buy-in; we want to make sure that they’re on board, that they understand what’s going on.

As we said, this is a conduit for information transfer. That’s a really valuable thing. Maybe we want to make sure that we have as many of these pathways as possible. So, it’s not always that we’re designing teams sitting with the playbook.

Martine Haas and I wrote an article that came out last year where we were talking about, how do you design teams, and we know from a long history of research a lot of things that go into designing teams well, we don’t always follow that advice. We often end up in a situation where little incremental changes along the way end up with a big, a little bit more of a big mess. So, I think what we see is a combination: both teams that are designed the way they are for a very good reason and ones that kind of have evolved in that way. And nobody’s really been paying attention. And, and it often happens that later on we stop and take a look and say, Wait a second; maybe we need to revisit this and think about it a little bit differently.

SARAH GREEN CARMICHAEL: Yeah. So, there’s been a pretty well-documented look at that phenomenon that switch tasking and switching from one thing to the act is really draining. It’s stressful, and it’s not very efficient, and there’s sort of costs to all that switching. So why then do organizations still think it somehow makes sense to have someone spending, you know, 10 percent of their time sort of peanut-buttered across a lot of different things?

MARK MORTENSEN: So, unfortunately, as a manager, as a leader, we’re not thinking day to day about the experience of our employees. Very often that’s the case. So, I may be doing my job. I may say, you know, I need you on task or task B, and I allocate people because it doesn’t register—I don’t actually know in my head how many other tasks are you working on, how many other projects. It’s not done maliciously by any means. Part of it is just the lack of information, right?

And the benefit that I get as a team lead or as a division lead or as a vice president—whatever it might be—the benefits I get from having my people working on many different projects, those are easy to see. They come out on the bottom line. The costs aren’t always as easy to see because that comes down to somebody being stressed, overworked, tension burnout. And it’s hard to necessarily draw that line back to where does that actually come from.

SARAH GREEN CARMICHAEL: How did we get here? Why do people decide gradually over time in different locations in different companies that the way to go was to have these kinds of overlapping teams where, you know, instead of just having like, Yep this is my team, we’re in a silo, and we’re fine with that, like, we’re going to try to bust up this silo.

MARK MORTENSEN: I think a main issue with this is, it’s just global competition. The world is becoming much, much faster pace, right? We have lots of evidence that just the general pace of change is increasing. At the same time the world is becoming much more heavily interconnected. We see this in our executive programs. I mean, we have an incredibly diverse set of people coming from different industries, different geographic regions, but they’re all facing the same sorts of problems because they’re all now playing in a truly global environment. That environment is forcing the hands of organizations, who realize they can’t continue to compete in the same way if they keep themselves in these very traditional, hierarchical, lockstep sort of structures.

SARAH GREEN CARMICHAEL: So, if one of the challenges to fixing this problem is that the work itself is, sort of, invisible to managers, and they don’t realize kind of person A is doing 15 things, and person B is socially loafing and doing two things—something. How can managers make that work more visible? Or at least get a better handle of what’s going on?

MARK MORTENSEN: I think there are actually two different things, two different ways of going about it. One is trying to make visible what people are actually doing, right? And so here’s where, for example, billable hours or other systems that actually log that information are a good step towards creating clarity. Now, having that data is different than having that data be visible. Many organizations have it, but it’s not always visible to everybody, right? It goes into a system. H.R. is aware of it. We use it at the end to take a look at bonuses; we use it at the end to figure out who’s been allocated to what. That doesn’t necessarily mean that there is a running dashboard of, Here’s all the different things that a given person is working on. So, having that stuff be more visible is one way, and having it be more publicly visible. That public visibility, I think, can play an important role because it can actually help people in dealing with and coping with the stresses and the tensions of doing this sort of work.

SARAH GREEN CARMICHAEL: I am so interested in this, and I feel like there’s pros and cons to making the work visible. In an organization with low trust, you could end up with lots of resentment and a perception this is all political and people feeling threatened by, you know, Oh, I don’t have as many things on the board that I’m working on. Or you would think, What’s wrong with so-and-so? She has, like, 40 things on her—she can’t possibly be good at any of that. You know, like, there would—create all these issues. On the other hand, it seems like such an elegant solution that would resolve so many issues.

MARK MORTENSEN: Absolutely. And I think this is just a tension. This is, this is the reality, unfortunate reality that we’ve got. I don’t think there is a yes or no answer to it. There’s no question that when you make it more visible, you increase the likelihood, or you increase the possibility, that people can actually game the system and can find ways to do that.

On the other hand, if we don’t have that sort of clarity, then we’re basically sitting with blinders on, right? We’re in the dark. We don’t actually see what’s going on. And this is the reality that we have. And I think, at least, when I’ve talked to people about these topics, the topic really resonates, the sense of being overcommitted and being stretched too thin, this is a pain that people feel. So, to one extent, we just need to make a call as to what do we feel is worth the cost, right? If we want to try to move the needle, if we want to try to get better at helping people to manage this process, manage being on multiple teams and multiple projects, manage the stress that comes along with it, manage the organizational risk that comes along with it, we’re going to have to accept that this data, you know, data can be used for good; that data can be used for evil.

SARAH GREEN CARMICHAEL: So, creating this kind of open, public dashboard can be one way to address this problem. What are some other things that you’ve seen work?

MARK MORTENSEN: Honestly, the main tool at this point—because most organizations don’t have the data and the kind of format to have a dashboard sort of format—the main tool is conversation.

The cases where I’ve seen organizations make real improvements is when they’ve gone back to the office and said, OK let’s start, take the first step to just mapping this stuff out, right? At the very least saying, I’d like all the team leads to go back to their teams and just have a conversation; let’s have one meeting—doesn’t have to be long—15 minutes 30 minutes. And we go around and talk about, How many other projects and what other projects are you on?

If nothing else, even if the team leader doesn’t have all of the pieces mapped out, when your colleagues in your team know about how many other projects and what other projects, it actually allows the system to adjust itself a lot more smoothly and a lot more easily. I see that you’re stressed out. I know that you’re also on the beta project, and that gives me the sense that maybe, you know what, I can take a little bit extra slack because I know my other project isn’t in as bad a shape. So, having that transparency and just having that conversation at the level of the team can help for a lot more sort of mutual adjustment of the way in which things are working.

The benefit of not having everything so transparent is it does actually allow flexibility. And so, in the age where we talk about organizations needing to be very nimble, very dynamic, this is also part and parcel of very much the same thing. People are on multiple teams also because they are on teams for a very short period of time. I have you for a day a week or, you know, for a short period of time for two weeks, and then you rotate off this team and on to something else. To maintain that flexibility, the more bureaucracy, the more structure you put in, the less flexibility you have in that kind of a system. So, this is the downside risk, right? Making it more visible allows you to better manage the process; at the same time, you can over manage the process, and you can create a lot more rigidity and a lot less flexibility in the system. And this is a tradeoff that managers unfortunately have to make.

SARAH GREEN CARMICHAEL: It does also seem, if trust is so important to solving this problem, that one of the challenges people have to figure out how to overcome is how to build trust when you only have, this group of people may be together for 10 percent of that week.

MARK MORTENSEN: So, this issue of multiteaming and multiple team membership—I see it actually as part of a broader suite of changes and transitions that a lot of organizations are going through. The staffing people on multiple projects is one. The fluidity and the dynamism—moving people from project to project—is another. Geographic distribution and virtual work is a third. And new forms of work. All of these are changing pretty fundamentally the way in which we think about how we do our work and the team as an entity, the team as a construct.

And this is something that we have used as a way of organizing ourselves for the last hundred years and grew tremendously in the late 80s into the 90s and to the 2000s as the way in which we organized everything. Now, one of the challenges is, with people working on multiple teams and moving from project to project and working globally in virtually, what the team is starting to become a whole lot more fuzzy and a whole lot harder to put your finger on.

And then, as you said, a lot of the dynamics that we’ve come to rely on: the team is great because it’s the way you build trust; the team is great because it’s a way that you can actually promote exchange of ideas inside. You can use that to create, as Amy Edmondson’s work as shown, psychological safety and a real—it allows you to create environments in which people feel open, et cetera. All of this stuff starts coming a little bit more into question when the team itself is this dynamic and overlapping and a fluid entity. And this is one of the things that I think we’re going to really have to do a lot of thinking about and where we’re working on trying to push the envelope with research.

SARAH GREEN CARMICHAEL: Is there some way that individuals could raise a white flag if they’re overstaffed on too many projects without sounding like they are, you know, trying to shirk their responsibilities?

MARK MORTENSEN: Well, I think this is one of the challenges: that we need is we need greater recognition and visibility of this as a challenge and of this as being a very real problem that organizations face to make it something that somebody can safely raise. When, in many organizations today, because there isn’t an awareness of this idea, and they’re not really thinking about the challenges of being this badly overcommitted, if somebody says, Hey, wait a second, I’m stretched way too thin, the immediate sense is, What, are you weak? You’re not capable? You’re not pulling your weight. You’re lazy. What’s wrong with you?

What we need is, we need a recognition and an acceptance that you know what, this is the reality that we’re in. It’s not good or bad. It’s the reality. We need to deal with that. And because of that, we need to be to recognizing when somebody is stretched too thin or not. And if somebody raises a white flag and says, Hey, I need help, we’re ready to help and step in. One of the things that we’ve talked about in the article is the creation of slack resources. This doesn’t mean that you have a whole bunch of resources sitting unused, but you have some protocols in place to say, Look when we do run into a situation where we desperately need more resources on a given project, we’ve given some thought to where those resources can come from so we’re ready we’re sitting ready with the water bucket. So, in case there’s a fire, we know we have it at hand, and we can throw it on the fire to put it out.

SARAH GREEN CARMICHAEL: When you are launching a new project, what are the things you should do before you launch it to make sure that it’s not going to run into any of these traps that we’ve been talking about?

MARK MORTENSEN: First of all, assuming that you can get away from all the traps is probably not going to happen, right? The reality is—and I’m only saying that from the standpoint that I think managers have to recognize—there is going to be points where it chafes; they’re going to be places where it doesn’t work as smoothly because this is, this is a very complex mapping problem of work and personalities and all this stuff.

Before the actual launch of the project, I think one of the things that managers can really do is spend some time sitting down and really thinking about the project overall: What are the resources that they’re going to need? Where are they planning on getting those? Also thinking about the ebbs and flows of the project: Where are there going to be peak times? Where there are going to be valleys? So that when they start thinking about how are we going to staff this project, we actually staff it intentionally; we start thinking about not just, Where can I get a resource that can solve the particular problem? Because today’s organizations often find they have multiple resources they could apply to a given problem.

Now we want to add into the mix that you may actually want to choose one versus another based on the other projects and the task that they’re working on.

SARAH GREEN CARMICHAEL: And what about the kickoff meeting—because sometimes projects have a kickoff meeting; sometimes they don’t. Should you have one?

MARK MORTENSEN: Absolutely. I’m a big proponent of kickoff meetings. I think they play a really, really important role for many reasons. Some of that have to do with multiple team memberships; some that have to do with just good team design. The kickoff meeting really serves to do a few things: it sets ground rules about the way in which we want to function, we want to operate. It helps people to understand why we’re here right. And one thing we know from coming back to Richard Hackman’s work on where teams, where team effectiveness comes from and how do we get it, you know, the core foundational element is knowing, what are we here to do, and having an agreement about that.

So, having that initial meeting is really important because that also plays into understanding, How are we going to deal with working on multiple teams and multiple projects? If we really have a good core understanding of what we’re here to do, that helps us to allocate and decide, When do I need to really be 100 percent focused on what we’re doing here in this team? versus When I can go back and forth?

And then it’s about sharing and establishing what are the norms, right? What are the expectations? How do we make sure that people feel open and comfortable enough that they can say, You know what, I can’t actually work on our project right now because I have two other projects, and they’re higher priority. You need to be able to share and have those discussions in order to be able to manage these processes. You’re not going to have those unless the team dynamic and the norms are really in place.

SARAH GREEN CARMICHAEL: Are there some projects or types of projects that just really aren’t suited to multiteaming, and people on that team should just be allowed to do one thing and do it really well?

MARK MORTENSEN: The more that a given project requires very deep and complex interactions from a set of people over time, the harder it is for those people to switch in and out. If we have to have established a rhythm in a routine—there’s a lot of back and forth that has to go on between the work that you’re doing and the work that I’m doing—it’s really hard for me to then jump out to another project for a while and jump back in and resume without having to invest a lot of time to get caught back up to speed, to find out What have, what progress have you made? Where do we need to work on things? How do how should I allocate my resources?

SARAH GREEN CARMICHAEL: You have studied so much about this topic, and I know you have new projects underway in your research that’s. What do you wish you knew about it that we don’t yet have evidence for?

MARK MORTENSEN: I think we really don’t understand enough about the reality of how people cope with this sort of situation. All the different flavors of it: How do they cope with managing the transparency issue? How do they cope with dealing with being stretched too thin on multiple different projects? How did they cope as a manager with trying to allocate resources when you have pressure to do it—and at the same time, you can see your employees are stretched too thin and overcommitted and burned down? I think one thing we really need is a better understanding of the mechanisms people use to deal with it so that we can try to facilitate and support those within an organization overall.

AMANDA KERSEY: That was INSEAD professor Mark Mortensen speaking with HBR IdeaCast host Sarah Green Carmichel.

HBR On Leadership will be back next Wednesday with another hand-picked conversation from Harvard Business Review. If this episode helped you, share it with your friends and colleagues, and follow the show on Apple Podcasts, Spotify, or wherever you listen to podcasts. While you’re there, consider leaving us a review.

And when you’re ready for more podcasts, articles, case studies, books, and videos with the world’s top business and management experts, find it all at HBR.org.

This episode was produced by me, Amanda Kersey. On Leadership’s team includes Maureen Hoch, Rob Eckhardt, Erica Truxler, Ramsey Khabbaz, Nicole Smith, and Anne Bartholomew. Music by Coma Media. Thanks for listening.



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Varo Bank Appoints Asmau Ahmed as Chief Artificial Intelligence Officer to Drive AI Innovation

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Varo Bank has hired Asmau Ahmed as its first Chief Artificial Intelligence and Data Officer (CAIDO) to lead company-wide AI and machine-learning efforts. Ahmed has over 20 years of experience in leading teams and delivering products at Google X, Bank of America, Capital One, and Deloitte. She will focus on advancing Varo’s mission-driven tech evolution and improving customers’ financial experiences through AI. Varo uses AI to enhance its credit-decisioning processes, and Ahmed’s expertise will help guide future institution-wide advancements in AI.

Title: Varo Bank Appoints Asmau Ahmed as Chief Artificial Intelligence and Data Officer

Varo Bank, the first all-digital nationally chartered bank in the U.S., has announced the hiring of Asmau Ahmed as its first Chief Artificial Intelligence and Data Officer (CAIDO). Ahmed, who brings over 20 years of expertise in innovation from Google, Bank of America, and Capital One, will lead the company’s AI and machine-learning efforts, reporting directly to CEO Gavin Michael [1].

Ahmed’s appointment comes as Varo Bank continues to leverage AI to enhance its core functions. The bank has expanded credit access by using data and advanced machine learning-driven decisioning, reinforcing its mission of advancing financial inclusion with technology. The Varo Line of Credit, launched in 2024, uses self-learning models to improve its credit-decisioning processes based on proprietary algorithms, allowing some customers with reliable Varo banking histories access to loans that traditional credit score systems would have excluded [1].

Ahmed’s extensive experience includes leading technology, portfolio, and customer-facing product teams at Bank of America and Capital One, as well as co-leading the Digital Innovation team at Deloitte. She has also founded a visual search advertising tech company, Plum Perfect. Her expertise will be instrumental in guiding Varo Bank’s future advancements in AI.

“As a nationally-chartered bank, Varo is able to use data and AI in an innovative way that stands out across the finance industry,” said Ahmed. “Today we are applying machine learning for underwriting, as well as fraud prevention and detection. I am thrilled to lead the next phase of Varo’s mission-driven tech evolution and ensure AI can improve our customers’ experiences and financial lives” [1].

Varo Bank’s AI and data science efforts are designed to enhance various core functions of the company’s tech stack. The appointment of Ahmed as CAIDO underscores the bank’s commitment to leveraging AI to improve customer experiences and financial outcomes.

References

[1] https://www.businesswire.com/news/home/20250904262245/en/Varo-Bank-to-Accelerate-Responsible-and-Customer-Focused-AI-Efforts-with-New-Chief-Artificial-Intelligence-Officer-Asmau-Ahmed



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Guest column—University of Tennessee “Embraces” Artificial Intelligence, Downplays Dangers – The Pacer

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At the end of February, the University of Tennessee Board of Trustees adopted its first artificial intelligence policy.

The board produced its policy statement with little attempt to engage faculty and students in meaningful discussions about the serious problems that may arise from AI.

At UT Martin, the Faculty Senate approved the board’s policy statement in late April, also without significant input from faculty or students.

In Section V of the document, “Policy Statement and Guiding Principles,” the first subsection states: “UT Martin embraces the use of AI as a powerful tool for the purpose of enhancing human learning, creativity, analysis, and innovation within the academic context.”

The document notes potential problems such as academic integrity, the compromise of intellectual property rights and the security of protected university data. But it does not address what may be the most dangerous and most likely consequence of AI’s rapid growth: the limiting of human learning, creativity, analysis and innovation.

Over the past two years, faculty in the humanities have seen students increasingly turn to AI, even for low-stakes assignments. AI allows students to bypass the effort of trying to understand a reading.

If students attempt a difficult text and struggle to make sense of it, they can ask AI to explain. More often, however, students skip reading altogether and ask AI for a summary, analysis or other grade-directed answers.

In approaching a novel, a historical narrative or even the social realities of our own time, readers start with limited knowledge of the characters, events or forces at play. To understand a character’s motives, the relationship between events, or the social, economic and political interests driving them, we must construct and refine a mental image—a hypothesis—through careful reading.

This process is the heart of education. Only by grappling with a text, a formula or a method for solving a problem do we truly learn. Without that effort, students may arrive at the “right” answer, but they have not gained the tools to understand the problems they face—or to live morally and intelligently in the world.

As complex as a novel or historical narrative may be, the real world is far more complex. If we rely on AI’s interpretation instead of building our own understanding, we deprive ourselves of the skills needed to engage with that complexity.

UT Martin’s mission statement says: “The University of Tennessee at Martin educates and engages responsible citizens to lead and serve in a diverse world.” Yet we fail this mission in many ways. Most students do not follow current events and are unaware of pressing issues. Few leave the university with a love of reading, despite its importance to responsible citizenship.

With this new AI policy, the university risks compounding these failures by embracing a technology that may further erode students’ ability to think critically about the world around them.



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Surviving and Thriving in the Age of Artificial Intelligence

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When social media was first introduced, it took off like wildfire. Millions and now billions welcomed this new technology that claimed to “connect” us all.

And, in some cases, that’s exactly what it does. For many, social media helps them find like-minded people, support communities they might not have discovered otherwise, or opportunities for self-expression. Just the other day, I posted photos from a camping trip and loved watching friends and family from all over the world chime in with their comments.

With all of the big promises (and big potential) of social media, it was shocking for us to learn over more recent years that it’s been linked to an uptick in mental distress, self-harm, and even suicidality.[i] Only now are we analyzing our social media usage in a thoughtful way, attempting to undo its lasting impact on our mental health while still preserving the parts that serve us.

I anticipate a similar societal arc for everyone’s new favorite tool: artificial intelligence (AI) chatbots. It’s impossible to deny that the generative AI revolution is upon us; its effects are already underway. But we still have the opportunity to reflect here and now, sooner rather than later, preventing ourselves from repeating history. I’m not proposing we abandon AI or pretend it doesn’t exist. But now, more than ever, we need to reconnect with our humanity. We need to protect our brains by relying on our souls, using our spiritual intelligence to light the way.

Research Reveals AI’s Power

A yet-unpublished study out of MIT[ii] caught my eye, laying out the not-so-hidden cost of AI on our brains. When people leaned on ChatGPT to complete creative tasks, their brains showed reduced neural engagement, their work felt “soulless,” and they retained little memory of what they had just produced. Researchers called this “cognitive debt,” a dulling of our inner spark or originality that can occur when we outsource too much of our thinking.

Of course, there are more extreme examples of AI affecting mental health, like the story of a young man who, after conversing with ChatGPT for more than 16 hours a day, died by suicide after the bot echoed sentiments that supported his break from reality.[iii] “AI-induced psychosis” as a term has entered our lexicon,[iv] as researchers warn against the use of chatbot therapists.[v]

All these cautionary tales raise a deeper question: How do we preserve our humanity, our spark, and our sense of self in the age of intelligent machines? And what might our role be in this new age?

Evolution, Not Oblivion

To draw from another historical narrative, the industrial and agricultural revolutions once thrust humanity into similarly unprecedented evolutions. As machines began to replace human manual labor in the fields and on the factory floor, we were forced to adapt to our current lifestyles. Now, many of us in the United States primarily sit at desks throughout the day, but have we allowed our legs to atrophy? No, despite no longer needing physical strength to survive, we still hit the gym, go for walks, or simply stretch in the mornings. As a species, we refused to lose what we had to use for our livelihoods.

And on a larger level, while many feared us being rendered obsolete, humankind was then freed up to step into knowledge-worker roles. Much of the discovery and innovation we celebrate today is a result of this new emphasis on the power of human brainpower.

What we once did for our physical strength, we must now do for our cognitive strength. Just as we protected (and still enjoy) our muscles, we must protect and enjoy our brains. We must lean into what makes humans special, even in the age of AI. And we can do it through our spiritual intelligence (SI).

Spiritual Intelligence vs. Artificial Intelligence

Spiritual Intelligence, or SI — the ability to draw on spiritual resources and embody qualities from the world’s spiritual and wisdom traditions to enhance functioning and well-being — can offer a necessary counterbalance in the world of “soulless” AI, as well as a path forward for our humanity.

AI can help check our grammar; SI can remind us why we love to write. AI can synthesize articles; SI can help us rediscover our love of learning. AI can crunch data; SI can help us see the big picture, reconnecting to the larger purpose behind our daily work. And, while AI can change our brains for the worse, SI practices such as meditation have the power to rewire neural structure for the better.[vi]

Artificial Intelligence Essential Reads

And, in this new age of abundance and prosperity produced by AI, what will set humans apart, ensuring we still have something unique to contribute, is our SI. Newly unburdened, we can devote our energy to nurturing deeper connections with ourselves and each other, caring for our families, children, and one another. We can focus on creating, playing, and exploring both our inner and outer worlds, taking the time to express ourselves the way only we can.

This might mean caregiving and social work roles rise in demand, as society places greater value on empathy, compassion, and the human touch. It could also mean that fields centered on creativity, artistry, and meaning-making undergo a renaissance, as people turn toward expression and innovation that cannot be generated by machines. The future of work, and of humanity on the whole, may shift from efficiency and material production to heartfelt, compassionate presence and meaningful purpose.

Properly used, AI need not compete with nor make obsolete our humanity, but rather enhance it. Several start-ups are already developing spiritual coaching applications that individually tailor suggested practices. Perhaps, one day, we might even see an AI spiritual intelligence coach.

If you or someone you love is contemplating suicide, seek help immediately. For help 24/7 dial 988 for the 988 Suicide & Crisis Lifeline, or reach out to the Crisis Text Line by texting TALK to 741741. To find a therapist near you, visit the Psychology Today Therapy Directory.



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