Little of it, in my opinion, focussed on the single most important problem you need to solve in a modern career: The rapid pace at which your professional skills and your employer's business models are rendered obsolete.
This post is an expansion of that talk and is based largely on things I wish I'd done better myself as a fresh grad. None of this comes with a warranty - I'm wrong far too frequently for that.
The future doesn't need you
You as you define yourself today. You as a programmer. Or a driver, doctor or musician.
Don't let yourself feel it's safe to stagnate, now that you've graduated. The era of one skill-set lasting for your entire career is over.
On one side automation and expert systems are effectively replacing humans in a variety of roles. On the other, competition is crossing boundaries like never before, mostly because software is eating the world. Amazon kills traditional retail. Netflix kills BlockBuster.
So accept this: Your skills will be obsolete shortly. "Shortly" is maybe a 10 year period now, and is dropping steadily. Given most people work for ~40 years, that's a lot of churn to deal with.
Regularly updating your skills, and keeping a careful eye on market trends in your professional area is critically important or you could get a nasty surprise when you least expect it.
Draughtsmen, typists, file clerks, journalists, farmers, postal service employees, switchboard operators and photography film processors are just a few of the roles that have seen heavy reduction in openings due to automation filling the gap. Next up, all the drivers in the world thanks to Google's driverless vehicles.
In the IT industry, I'm personally seeing a decreasing need for QA and DBA roles. Technology and automation are reducing or removing significant portions of their workload, massively reducing the number of QAs or DBAs that are needed to successfully solve a problem. And that's just in my little section of the industry.
Change requires decisions. Making decisions is hard
Not just the big ones either: All decisions are hard. Many people find making decisions frequently fatiguing, even.
There is no "right" choice that guarantees a better career
"I'm an EC student. I'm only getting IT jobs. Is it better for my career to do my masters in an EC field or take up an IT job?"This, or some close variant, was the most common question asked of the panel. The answer is: Nobody else can tell you. You are the only person who can define "better for my career."
What is "better"? More money? Flexible hours? A big designation? Social Impact?
Nobody else can tell you this. You are the only person who can decide what it is that you value, and what you're willing to give up to get it.
TANSTAAFL. To get something, you almost always have to compromise. Everyone hates compromise. It is human nature to want to wait until everything is perfect.
A good career needs to be defined by you, and you need to chase it. If it not a well understood, mainstream career, then you have to be willing to take risks and fail in order to get what you want.
Doing what most do leads to an average case outcome
If you decide to do what the majority does, that is the definition of average.
Doing what most say without verification is dangerous
Argumentum ad populum is a fallacy. Just because everyone says it's so doesn't mean it's true. Always fact-check any "wisdom of the crowds" type advice.
Arrogance slows you down
If you think you're better than the next person, you're likely to be filtering out valuable feedback that could help you improve enormously. Both from other people and from reality.
Don't be impatient
Montages are for movies. Any non-trivial undertaking will take time. Be willing to commit the necessary time before you make a decision, be patient and see it through to a meaningful conclusion after.
The people you hang out with makes a difference
The easiest way to go after a better career is to surround yourself with people in your profession who are constantly pushing boundaries, seeking to be better. Interesting, stimulating conversation is a great soft metric.