u/Silent-Rise-8123

I’ve recently graduated and I feel like this is where things get really overwhelming. Everyone keeps talking about the best courses after graduation, but no one really explains what actually works in the long run.

Some suggest going for professional courses after graduation, others say pick something more practical and job-focused. Then there’s advice around building leadership skills, improving business leadership skills, or enrolling in a management program that focuses on leadership development.

What’s confusing is that all of these sound useful, but not all of them seem equally effective when it comes to real career growth or choosing the right career options after graduation. I’m especially trying to figure out which job oriented courses after graduation actually make a difference early on.

I came across this programme from ISB named PGP YL while researching options, and it seems designed specifically for recent graduates looking to build strong foundations in management and leadership:

It looks promising, especially in terms of developing structured thinking and leadership capabilities early in your career, but I’m still unsure if that’s the right path compared to jumping straight into a job or trying something more specialised.

Would really like to hear from people who’ve been in the same situation. What did you choose after graduation, and did it actually help with your career growth in a meaningful way?

Everyone's complaining that the new generation doesn't want to "work hard." But look at what we're actually rejecting 60 hour weeks with no equity, managers who lead through fear, companies that talk about culture but mean ping pong tables.

We want meaning, autonomy and fair compensation. That's not laziness. That's just knowing your worth earlier than previous generations did.

The companies calling them difficult are the ones who built cultures on compliance instead of contribution.

My aunt has been in equity markets for about eight years. We were talking over dinner last week and she just started explaining how algorithmic trading has quietly become the dominant force in how markets move now and I could tell it was something she'd been sitting with for a while.

She said most days she's fine with it. The efficiency is real, the speed is real. But then you get days like the flash crashes we've seen over the years where billions are wiped out in minutes because algorithms are responding to other algorithms with no human in the loop going "wait, does this actually make sense?"

What stuck with me was when she said the problem isn't that the technology exists. It's that most people, including a lot of people working in finance don't fully understand what's running underneath. AI systems are making trading decisions at a scale and speed no human can audit in real time. And when something goes wrong the post-mortem always feels like everyone's trying to explain the behaviour of something they didn't understand to begin with.

She shared this piece with me called What Happens When AI and Algorithms Run the Markets on ISB Discover and honestly it made the whole thing click. The real risk isn't just a bad trade or a volatile day. It's systemic. When everyone's algorithm is trained on the same data reacting to the same signals you don't get diversity of thought. You get herding at machine speed.

She ended the conversation with "this affects everyone's savings, everyone's pension, not just people on trading floors" and I haven't stopped thinking about it since. Do people outside finance think about this at all?

My aunt has been in equity markets for about eight years. We were talking over dinner last week and she just started explaining how algorithmic trading has quietly become the dominant force in how markets move now and I could tell it was something she'd been sitting with for a while.

She said most days she's fine with it. The efficiency is real, the speed is real. But then you get days like the flash crashes we've seen over the years where billions are wiped out in minutes because algorithms are responding to other algorithms with no human in the loop going "wait, does this actually make sense?"

What stuck with me was when she said the problem isn't that the technology exists. It's that most people, including a lot of people working in finance don't fully understand what's running underneath. AI systems are making trading decisions at a scale and speed no human can audit in real time. And when something goes wrong the post-mortem always feels like everyone's trying to explain the behaviour of something they didn't understand to begin with.

She shared this piece with me called What Happens When AI and Algorithms Run the Markets on ISB Discover and honestly it made the whole thing click. The real risk isn't just a bad trade or a volatile day. It's systemic. When everyone's algorithm is trained on the same data reacting to the same signals you don't get diversity of thought. You get herding at machine speed.

She ended the conversation with "this affects everyone's savings, everyone's pension, not just people on trading floors" and I haven't stopped thinking about it since. Do people outside finance think about this at all?

When it happened he was devastated. He'd been in that role for five years, was genuinely good at it, and got two weeks' notice and a LinkedIn recommendation from a manager who couldn't look him in the eye over Zoom.

I remember being angry on his behalf. Felt like a clean example of exactly what everyone warns about when they talk about AI taking jobs.

But six months later he'd found something new, a role that was actually more interesting and we were talking about it over the phone and he said something I wasn't expecting. He said the companies that are actually doing well with AI aren't the ones that replaced people. They're the ones that figured out what people can do that AI can't and built around that.

He'd seen both from the inside by that point. The team that got cut was doing work that probably should have been automated–honestly, repetitive, low judgement, high volume. But the new place he joined was using AI as a thinking partner. The humans were doing the contextual, relational, and creative work and the AI was handling everything that didn't need a human.

I came across this piece recently: Why the AI-Human Partnership is Important and immediately thought of that conversation with my brother. It gets into why the most dangerous idea in this whole debate isn't that AI will take jobs, it's that companies will stop thinking carefully about which jobs actually need a human in the first place.

Curious whether people think most companies are actually being thoughtful about this or just cutting headcount and calling it innovation. My brother's optimistic. I'm still not sure that I am.

When they made the announcement I was genuinely annoyed. We had a good thing going: instructor-led sessions, people actually in the room, questions happening in real time. Replacing all of that with "click through these modules at your own pace" felt like the company just wanted to cut costs and slap a learning budget on the spreadsheet.

The first few months were rough. People were skipping through slides, nobody was retaining anything, and the feedback forms were a disaster.

But then something weird happened. A colleague of mine, someone who always struggled in classroom settings, never spoke up, clearly uncomfortable being put on the spot actually started performing better. Turned out she'd been going through the material three, four times on her own, something she'd never have done in a room full of people.

That made me think differently about the whole thing.

The other day I came across an article Can Online Training Methods Unlock Value from ISB Discover and it put into words something I'd been feeling but couldn't articulate. That the real question isn't whether online training is better or worse than traditional; it's whether organisations are actually designing it to work or simply digitising a classroom and calling it done.