Earlier quoted context omitted.
I've wondered sometimes what the root of this dynamic is, and why corporations are as inefficient as they are. I've come to the conclusion that it's deliberate. When I look at top-level decision-makers at my Mag-7 employer, they are smart people. Many of them were go-getters in their earlier career, responsible for driving some very successful initiatives, and that's why they're at the top of the company. And they're…
Have you seen the "sociopath, clueless, loser" model? https://www.ribbonfarm.com/2009/10/07/the-gervais-principle-...
McKinsey wonders how to sell AI apps with no measurable benefits
121–130 of 165 posts
Re: McKinsey wonders how to sell AI apps with no measurable benefits
#122McKinsey has pitched my company on projects where their compensation is entirely outcome-based — for example, if a project generates $20 million in incremental revenue, they would earn 10% of that amount. I have to admit, the results they demonstrated — which we validated using our own data — were impressive. The challenge, however, is that outcome-based contracts are hard for companies to manage, since they still ne…
Re: McKinsey wonders how to sell AI apps with no measurable benefits
#123Earlier quoted context omitted.
I find it all quite strange: - AI companies of course will try and sell you that you can reduce headcount with AI - CEO's will parrot this talking point without ever talking a closer look. - Everyone lower down on the org chart minus the engineers are wondering why the change hasn't started yet. - Meanwhile engineers are ripping their hair out cause they know that AI in it's current state will likely not replace any…
I am still of the conviction that "reducing employee head count" with AI should start at the top of the org chart. The current iterations of AI already talk like the C-suites, and deliver approximately same value. It would provide additional benefits, in that AIs refuse to do unethical things and generally reason acceptably well. The cost cutting would be immense! I am not kidding. In any large corps, the decision ma…
That is exactly what it can't do. We need someone to hold liable in key decisions.
Re: McKinsey wonders how to sell AI apps with no measurable benefits
#124> The firm’s earlier research suggested that 2027 would be the first year when AI technology would be able to match the typical human’s performance in tasks that involve “natural-language understanding.” Now, McKinsey reckons it will happen this year."
> "Generative AI will give humans a new “superpower”, and the economy a much-needed productivity injection, said Lareina Yee, a senior partner at the firm and chair of McKinsey Technology, in the report.
Re: McKinsey wonders how to sell AI apps with no measurable benefits
#125This is because they're trying to reduce the wrong headcount. The largest inefficiencies in corpo orgs lie in the ways they organize their knowledge and information stores, and in how they manage decision making. The rank and file generally have a really good grasp on their subset of the domain -- they have expertise and experience, as well as local context. Small teams, their managers -- those are the ones who actua…
Management will not volunteer to replace themselves. So that would mean that if that's all that Ai is trully good at... the product is unsalable.
Re: McKinsey wonders how to sell AI apps with no measurable benefits
#126Earlier quoted context omitted.
> The incentive structure for managers (and literally everyone up the chain) is to maximize headcount. More people you managed, the more power you have within the organization Ding ding ding! AI can absolutely reduce headcount. It already could 2 years ago, when we were just getting started. At the time I worked at a company that did just that, succesfully automating away thousands of jobs which couldn't pre-LLMs. Th…
> The bigger and older the company, the more ossified the structures are that have a want to keep headcount equal, and ideally grow it. I don't know, most of the companies doing regular layoffs wheneveer they can get away with it are pretty big and old. Be it in tech - IBM/Meta/Google/Microsoft, or in physical things - car manufacturers, shipyards, etc.
The execs aren't the ones directly choosing, overseeing and implementing these AI efforts - or in the preceding decades, the software efforts. 9 out of 10 times, they know very little about the details. They may ""spearhead"" it in so far that's possible, but there's tonnes of layers inbetween with their own incentives which are required to cooperate to actually make it work.
If the execs say "Whole office full-time RTO from next month 5 days a week", they really don't depend on those layers at all, as it's suicide for anyone to just ignore it or even fake it.
Re: McKinsey wonders how to sell AI apps with no measurable benefits
#127Earlier quoted context omitted.
whoa I'm out of the loop, what the fuck happened to redis?
Venture capital
Re: McKinsey wonders how to sell AI apps with no measurable benefits
#128Truth is out people. They are confessing it now.
Re: McKinsey wonders how to sell AI apps with no measurable benefits
#129It has to be tough for them. They can't not be in on the grift, it's too big and they're too big. But the grift doesn't really benefit them.
Re: McKinsey wonders how to sell AI apps with no measurable benefits
#130McKinsey has pitched my company on projects where their compensation is entirely outcome-based — for example, if a project generates $20 million in incremental revenue, they would earn 10% of that amount. I have to admit, the results they demonstrated — which we validated using our own data — were impressive. The challenge, however, is that outcome-based contracts are hard for companies to manage, since they still ne…
What's upfront about a backloaded earnout? You model it as a fixed %, variable cost and run revenue sensitivities. It either meets your investment criteria or doesn't.