Live data from Hacker News

How three years at McKinsey shaped my second startup

blog.zactownsend.com

51–60 of 192 posts

Re: How three years at McKinsey shaped my second startup

#51
I was confused by this as ChatGPT launched in Nov 2022 and had tens of millions of users by end of 2022.

> And though when we started our business in 2023 (ChatGPT wasn’t out yet), you could begin to feel that something like that was possible in a way it wasn’t before.

perhaps a typo in year?

Re: How three years at McKinsey shaped my second startup

#52

Earlier quoted context omitted.

I don't see it as inherently a problem; AI can (theoretically) be a lot more fair in dealing with claims, and responds a lot sooner. That said I suspect the founder is seriously overestimating the number of highly intelligent, competent people he can hire, and underestimating how much bureaucratic nonsense comes with insurance, but that's a problem he'll run into later down the road. Sometimes you have to hire three…

You're incredibly naive if you think AI will be used to pay out claims more fairly instead of being used as a deny-bot.

This is life insurance specifically. It's not very hard to prove someone is dead, is there really much room for argument over paying out the policy benefit?

Re: How three years at McKinsey shaped my second startup

#53
post #30

Earlier quoted context omitted.

This comment is confusing. The Catholic church does not have 100 employees.

I didn't read "the only way..." as having the condition of 100 or less employees. In fact the 100 employees is mentioned in an earlier sentence that explicitly says they are using AI to accomplish such a low employee count. The comment I was replying to seems to imply AI was the only way to serve 1B people, without regard for the number of employees.

I think there must be an implied “with so few employees” in there. I mean, the problem apparently appears when going from 100,000 to 100.

The comparison to the Church seems not really super useful, their business model is pretty different.

Re: How three years at McKinsey shaped my second startup

#54

My wife made a McKinsey consultant cry… she hired McKinsey for some internal project. One person on the project was a recent Harvard grad. They were in a meeting going over the deliverables along with the McKinsey partner on the project and in the meeting my wife said something to the effect that their work wasn’t up to McKinsey standards. The junior guy started crying in the meeting. Like just blubbering. My wife st…

I don't care if you went to Ivy League and graduated at the top of your class, I really don't get WTF someone whose life experience has been almost exclusively in school really knows running about business. Get at least a few years work experience and call me. Or alternatively, start your own dang business if you are really that smart.

You don't seem to understand how consulting works.

The person making the recommendations isn't just out of school. They've been at the firm for years, and do have a ton of experience.

The recent grads are there for all of the grunt work -- collecting massive amounts of data and synthesizing it. You don't need years of business experience for that, but getting into a top college and writing lots of research papers in college is actually the perfect background for that.

Re: How three years at McKinsey shaped my second startup

#55

Article is interesting on the whole (I have no experience with "professional" work, and would love for suggestions as to how to be more familiar), but I latched onto this nugget: > Our vision at Meanwhile is to build the world's largest life insurer as measured by customer count, annual premiums sold, and total assets under management. We aim to serve a billion people, using digital money to reach policyholders and a…

I don't think there an ethical responsibility to worrying about your competitor's labor. That would lead to stagnation and it's own sort of ethical issues.

You misread. The poster is speaking about the ethical handling of customer service.

Re: How three years at McKinsey shaped my second startup

#56

Earlier quoted context omitted.

You're incredibly naive if you think AI will be used to pay out claims more fairly instead of being used as a deny-bot.

This is life insurance specifically. It's not very hard to prove someone is dead, is there really much room for argument over paying out the policy benefit?

If the plan is to just pay out after confirming the person is dead, what’s the AI doing? It could be replaced by a “upload your death certificate here” box.

Re: How three years at McKinsey shaped my second startup

#57
post #49

Earlier quoted context omitted.

> it directly causes suffering via creating a societal permission structure for politicians to protect interest groups with protectionist trade policy and internal pork barreling policy What part of that is suffering, if it enables 100k constituents to put food on the table?

The problem is that it's a misallocation of human capital which slows progress for all of society. We should be providing social safety nets for people, not fake jobs.

> We should be providing social safety nets for people, not fake jobs.

I agree with you (except in classifying the genuine effort of my fellow people to be "fake jobs" just because a computer can do some of the work) and believe making a resilient, trustworthy, proven system for the former is a prerequisite to withdrawing the latter, to avoid suffering.

Unfortunately for us, the barrier to the former is ideological in nature and imposed by the elite few in power now, before any matters of capital allocation (human or financial) come into play.

Re: How three years at McKinsey shaped my second startup

#58
post #20

Article is interesting on the whole (I have no experience with "professional" work, and would love for suggestions as to how to be more familiar), but I latched onto this nugget: > Our vision at Meanwhile is to build the world's largest life insurer as measured by customer count, annual premiums sold, and total assets under management. We aim to serve a billion people, using digital money to reach policyholders and a…

> dispute resolution, customer service, etc There's a huge assumption in your comment -- that having 100,000 employees necessarily guarantees (or even makes likely) that you will have some human to help you. More likely, those 100,000 humans are mostly working on sales and marketing, and the few allocated to support are all incentivized to avoid you, and to send you canned answers. A reasonably decent AI would be bet…

[flagged]

Re: How three years at McKinsey shaped my second startup

#59

Earlier quoted context omitted.

I don't care if you went to Ivy League and graduated at the top of your class, I really don't get WTF someone whose life experience has been almost exclusively in school really knows running about business. Get at least a few years work experience and call me. Or alternatively, start your own dang business if you are really that smart.

You don't seem to understand how consulting works. The person making the recommendations isn't just out of school. They've been at the firm for years, and do have a ton of experience. The recent grads are there for all of the grunt work -- collecting massive amounts of data and synthesizing it. You don't need years of business experience for that, but getting into a top college and writing lots of research papers in…

[deleted]

Re: How three years at McKinsey shaped my second startup

#60
post #49

Earlier quoted context omitted.

> it directly causes suffering via creating a societal permission structure for politicians to protect interest groups with protectionist trade policy and internal pork barreling policy What part of that is suffering, if it enables 100k constituents to put food on the table?

The problem is that it's a misallocation of human capital which slows progress for all of society. We should be providing social safety nets for people, not fake jobs.

These are human beings, not human capital.
Post reply on HN