Using the 5 Dimensions of the Growth Mindset to Master AI Jobs Disruption

You have probably read the brouhaha surrounding the comments about “low-value human capital” uttered by the StanChart CEO Bill Winters. The bank said on Tuesday (19 May 2026) that it would cut about 15 percent of its corporate function roles by 2030, citing AI as the main driver for slimming its ranks. While Winters clarified that this comment was taken out of context, what we cannot ignore is that jobs, regardless of the value-add to the system they provide, will be impacted by AI.

Yet, it is not just StanChart making jobs redundant. HSBC will cut up to 20,000 roles within the next 3 to 5 years; Meta just announced 8,000 jobs will be laid off starting the middle of this month; Cloudflare announced 1120 positions were cut earlier this month due to AI; Upwork laid off 25% of its staff to capitalise on AI; Intuit (the accounting software giant) announced 17% reduction!

Amidst all these, I am sure you feel a knot in your stomach. Even our former President, Mdm Halimah Yacob, felt that knot, and had to weigh in on the matter of “low value” workers!  With AI writing emails, generating code, designing logos, and even analysing legal contracts, many workers probably feel like a Countdown Clock has started on their job being made redundant! In the back of their mind, it may well be, “Will I be next on the chopping board?”

Yet, AI does not have to be your replacement. It can be your partner. Indeed, here is Bill Winters again, “Some roles will reduce in number, some will change, and new opportunities will emerge. We will continue to prioritise investment in reskilling and redeployment wherever we can." Hence, whether you are replaced or reinvented may depend almost entirely on something within you - your mindset.

According to our 5 Dimensions of the Growth Mindset (5DGM) model, your mindset is not a binary, static trait; meaning that you are NOT either fixed or growth minded which does not change. It is, in reality, a set of five dynamic dimensions that occur on a scale between fixed and growth mindsets. And in between these two predominant zones, is one which we deem as Transitional, where you can display varying degrees of fixedness or growth, depending on the situation. These dimensions determine how you respond to challenge, failure and uncertainty which are bound up in AI disruption. Indeed, it is in these five dimensions that contain the difference between being left behind by AI or leading the way with it.

Let us walk through how each dimension contributes to this dichotomic outcome. We will look at how specialist AI concepts apply to real jobs, how specific roles can be enhanced rather than erased, and how you can build practical AI skills to grow where you stand.

The Learning Dimension

The Learning Dimension is the foundation of everything; as they say, “The growth mindset is the learning mindset.” This Dimension describes our tendency to approach new ideas and concepts with curiosity, seeking to acquire new knowledge, understand them, apply the ideas, analyse the outcomes, synthesise the new concepts with currently held knowledge and use all that to create new ideas (these are the 6 stages of adult learning in Bloom’s taxonomy). In a fixed mindset for learning, you want to look competent, throwing up “buzz words” without much assimilation. In a growth mindset for learning, you want to become competent, even if that means looking foolish along the way.

So how does this apply to AI? Consider how AI actually works; most people think of AI as a magic box - you type a question, and an answer appears. They use it like Google search. But specialists know that the real skill is something called “prompt engineering”. Generative AI models like ChatGPT or Claude do not think, they predict. The quality of their prediction depends entirely on the quality of your instruction. And if you are building your own agents with your data, it also depends on the quality of your data. As such, a good AI employee also helps sharpen the quality of the data used.

A worker with the fixed mindset in this Dimension sees a poorly formatted AI output and concludes, "This tool is useless. I am not a tech person." That is the end of the conversation. But a worker operating in the growth zone of this Dimension sees the same failure and asks, "What did I miss? How could I phrase that differently?" They start to study concepts like chain-of-thought prompting, that is, breaking a complex request into a sequence of logical steps. They learn about temperature settings and system prompts. They treat every interaction with AI as an experiment which allows them to formulate their own rules of engagement with the tool.

Take the job of a Marketing Coordinator, for example. In the past, writing ten variations of a social media caption may have taken an hour or more. Today, AI can generate fifty variations in ten seconds. (Of course, this opens up another problem, cognitive fatigue with respect to fifty variations! But that can be managed easily!) The fixed mindset worker panics: "My writing job is gone." The growth mindset worker realises that their real job was never in typing. It was in understanding brand voice, audience psychology, and emotional nuance. AI handles the rote generation, the human handles the direction. AI is a boon for such a worker.

To grow in this Dimension for AI, one can start a "prompt journal." Every time you use AI, screenshot what you asked and what you got. Then write down one tweak you could try in the next iteration and then try it. See the difference in output. Then see what works and what does not. This is not extra work; it is skill building. This is how we can deploy the growth mindset for learning with AI.

The Bounce Back Dimension

Here is a fact that AI vendors do not advertise: AI makes mistakes. Sometimes spectacular ones. In October 2025, Singapore Lawyer Lalwani Anil Mangan was ordered to pay S$800 in personal costs to the opposing party after his junior lawyer used an AI app to file court documents containing a fake case.

In the AI world, these are called “hallucinations”. An AI might invent a court case that never existed. It might cite a scientific paper with a real author but a fake title. It might confidently tell you that two plus two is five. There is a funny cartoon on social media that we reproduce here about AI confidence:

For a worker with fixed tendencies in the Bounce Back dimension, one hallucination is enough to give up on AI. They try the tool, get a wrong answer, submit that, get admonished for it, and then abandon it forever. "See? I knew this wouldn't work," they exclaim.

The 5DGM defines growth in Bounce Back as the tendency to recover from setbacks and continue moving toward success. It is fuelled by a specific mantra like, "Either I win or I learn; both of which I gain." This is important in the age of AI disruption. The worker who succeeds is not the one who never gets a wrong answer; it is the one who treats every wrong answer as data to use to get better.

Imagine you are a Legal Assistant. You ask an AI to summarise a thirty-page contract. The AI misses a key liability clause. A fixed mindset worker says, "AI is unreliable. I will never use this again." A growth mindset worker says, "Interesting. It missed clause 4.2. Next time, I will explicitly instruct it to pay attention to liability sections and ask for a confidence score on each extraction." Such workers are not just using AI, they are training the AI; and training themselves at the same time!

To build growth in Bounce Back in AI, set a personal rule: for every AI “failure” you encounter, you must try at least two different prompts to overcome that failure. You will be surprised how often the third attempt works. What I normally do is to use different GPTs. I normally ask one of them to create the prompts for the other. And I go in with the expectation that the first prompt will be wrong and craft my way to the output quality that I want.

Risk Taking Dimension

The Risk Taking Dimension is the willingness to go out and learn despite the possibility of being wrong, being laughed at or of losing something of value. In the context of AI, this dimension is brutally simple: the biggest risk is taking no risk at all.

Many workers are terrified of looking stupid; they will not ask a colleague how to use a new tool; they will not experiment with automation because they are afraid of breaking something. They keep their head down and do things the way they have always done them because there is no risk in that. Yet, AI being relatively new – certainly in the context of applying it at work – the one who starts using it regularly would be the one who stands to gain the most, but at the risk of looking “stupid”. (I am sure you have heard of the term “AI Slop.” Using AI wholesale without any human interventions will probably relegate your work as AI Slop. The thing is, you won’t know that until you start using the tool. A true chicken-and-egg problem!)

The thing about AI is that it is not good at everything, but it is great at automating the mundane. Pattern recognition, summarisation, data extraction and first-draft generation are tasks that would consume hours of our cognitive energy without requiring deep creativity. Such work can be given to AI so that we concentrate on doing the “higher value” work (a la Bill Winters)!

Consider the job of a HR Generalist. You spend hours every week summarising meeting notes, drafting policy memos, and sorting through resumes for keyword matches. These are not high-value strategic tasks. They are maintenance. A low Risk Taking worker keeps doing them manually because no one will “fault me for doing it this way." A higher Risk Taking worker might spend one afternoon learning how to feed a transcript into an AI summariser and use an AI sorting tool for initial resume filtering. They delegate the low-value work to the machine, thereby freeing up work for higher value. Of course, there is a risk here – by throwing the resume into the GPT, we risk NOT identifying the gem of a worker simply because that person didn’t use all the “right” keywords. If one wanted to lower the risk of losing the “right” person, then one would charge up one’s Learning mindset to experiment how the GTP operates and fine-tune the prompts used. This can be done over several manual-vs-AI sifting until the GPT identifies the same people that the manual operator would. After that, the HR Generalist can create a special AI Agent within the GPT environment so that subsequent scans can be done automatically.

The result is not the loss of a job. It is the reclamation of time. Time that can now be spent on employee engagement, conflict resolution, and strategic workforce planning; the deeply human tasks that no AI can do.

I know, this opens up the “That-is-not-my-job” discussion. And the fixed mindset worker will say “I am not being paid to do this work.” The growth mindset worker might say, “Then I shall ask management if they can assign me a higher role, consolidating two jobs into one.” This is called job enlargement, and is positively viewed by management on the one who takes the initiative.

To grow in this dimension, identify the single most repetitive task you did last week. Spend twenty minutes researching if an AI tool can handle it. If the answer is yes, try it. The worst case is you waste twenty minutes. The best case is you get hours of your life back. Remember: no risk, no return.

The Forward Dimension

The Forward Dimension is the tendency to move without full clarity and information. Whether you take a planned approach or an evolving approach, neither is inherently better, it depends on the completeness and quality of your information. What matters is that you take the next step. Stagnation is the enemy.

Here is where we need to talk about the future of job design. Specialists in AI economics have a term for the winning strategy of the next decade, the “Hybrid Specialist”. This is a person who operates at the intersection of both AI technology and human speciality; they combine human insight with AI.

AI has extraordinary depth within a single domain. It can generate code; it can draw an image; it can analyse a spreadsheet. But it struggles to integrate across domains. It does not know how to combine coding with design thinking. It cannot merge data analysis with emotional intelligence. It may understand what emotions are, but it cannot pick up on subtle emotional cues of humans (yet).

That is our opportunity.

Take the job of a Data Analyst (DA). A fixed mindset DA sees AI writing SQL queries and building dashboards and concludes, "My job is over." A growth mindset DA sees the same tools and asks, "What happens if I add storytelling skills? What if I learn to translate those data outputs into persuasive narratives for executives? What if I become the person who not only runs the numbers but explains why they matter for the business strategy?"

That is a Hybrid Specialist. And that role is more valuable than ever.

Similarly, a Customer Support Lead who learns AI sentiment analysis becomes an “experience architect”. They do not just answer tickets. They design the entire journey, using AI to flag emotional distress and human intervention to resolve it.

The thing about all this is that we don’t know exactly what works. That is the uncertainty that AI disruption brings. The fixed mindset worker in this Dimension will wait for clarity on what to do next before doing it. But the truth of the matter is that no one knows for sure what they want until they see it. There is no map to show how AI WILL be deployed in a company. When you read Singapore’s Economic Strategy Review published last week, its eight strategic thrusts map the vision, but not the steps. These steps will be uncovered once we set down that path. Waiting to clarify those steps keeps us where we are and paralysed by the lack of information. The way Forward is to embrace a more growth minded evolving mindset, to take that first step so that we get clarity for the next one. We might get lost along the way, but that allows us to uncover what’s hindering our way and then plot the next course. Because ANY way is better than no way at all!

To grow in the Forward dimension with respect to AI disruption, it would not be helpful to ask, "Will AI replace me?" I think we know the answer to that. Ask instead: "What is the human-plus-AI version of my job?" Then take steps to start on that journey, documenting the way forward, the answers sought, the questions answered and the solutions defined. Bridge the skill gap between where you are now and where that hybrid role lives. Fortune favours the bold.

The Pride Dimension

Finally, we arrive at Pride, the dimension that requires us to suspend judgment and instruction to uncover what is really occurring. Pride, in this framework, is not about arrogance. It is about attachment. It is the belief that the way you have always done things is the right way, simply because it is familiar.

In the age of AI, pride is a career killer.

Consider the job of a Senior Software Developer. You have spent fifteen years mastering syntax, algorithms, and debugging. Then along comes GitHub Copilot, an AI that writes boilerplate code in seconds. A junior developer with Copilot can produce functional code faster than you can type a single function. The fixed mindset in the Pride dimension’s response is to dismiss the tool. "Real developers write their own code. AI is a crutch."

The growth mindset response is to let go. To accept that your value was never in typing every character. Your value is in architecture, code review, security, and systems thinking. The AI handles the rote generation. You handle the quality control.

The same applies to a Senior Accountant who has spent decades mastering manual reconciliation. AI can now flag anomalies across thousands of transactions in milliseconds. The fixed Pride reaction is to insist that only human eyes can catch errors. The growth reaction is to realise that your real job is in investigation, not data entry. Let AI find the outliers, you figure out why they are there.

To develop growth in the Pride dimension, you may like to conduct a weekly audit. List five tasks you did in the week. For each one, ask: "Am I doing this because it is the best way, or because it is the way I learned ten years ago?" If the answer is the latter, find a new way with AI.

The Augmented Future

The writing has been on the wall for some time now: AI WILL change jobs. Some tasks will vanish. Some roles will shrink. This is not speculation; it is the pattern of every major technological shift from the steam engine to the Internet, and it is already manifesting itself in the job market. But here is what the 5 Dimensions of the Growth Mindset teaches us - we are not passive victims of these changes. We have levers we can pull. Learning turns confusion into curiosity. Bounce Back turns failure into fuel. Risk Taking turns fear into action. Forward turns uncertainty into momentum. And Pride turns attachment into humility. Taken together, your dynamic growth mindset development can – and will – see you as the valued employee in your company. This it the work of the Hybrid Specialist!

Therefore, let’s be more positive about AI; it will not replace you if you don’t allow it to happen. A worker who uses AI with a growth mindset will replace a worker who hides from it. That is the only competition that matters.

So take the next step. Open the tool. Write the imperfect prompt. Get the wrong answer. Try again. And again. And again.

That is not just surviving disruption. That is growing through it.