Recently, senior executives at Salesforce have admitted, both internally and publicly, that they massively overestimated AI’s capabilities. They have found that AI simply can’t cope with the complex nature of customer service and totally fails at nuanced issues, escalations, and long-tail customer problems. They even say that it has caused a marked decline in service quality and far more complaints.But the problems go far deeper than that.Both employees and executives have said that the company is wasting countless resources on firefighting to stabilise operations since the mass AI layoff. Employees have to spend so much time stepping in to correct the wildly wrong AI-generated responses that AI is wasting more time than it saves. In other words, this AI reduces productivity, not increases it.But there is also a huge problem here with expertise and skill debt. On top of the firefighting to correct the AI, executives have also highlighted how they are also having to firefight to stabilise their systems from problems that were previously easily solved by staff who had the required experience and skill. However, these staff were fired in the AI layoffs.Expertise, experience and skilled employees are really hard for a company to acquire. You see, much of the expertise, experience, and skills required are unique to the company and its operations. These operations will have quirks, common problems, and unique issues that even the most experienced outsider will really struggle with, but are effortless to someone with experience within the company. As such, these attributes are not only vital, but are nurtured and grown within a company, and cannot be hired in on a whim. What Salesforce has done is chuck all this experience out the window, and now they are suffering.>https://www.planetearthandbeyond.co/p/reality-is-breaking-the-ai-revolutionthoughts?
Salesforce is a gay company for email job people
>>107889127No shit. Now can I get hired on as a consultant?
>>107889127Wishcasting is for children. Executives should have the emotional maturity to know better but they just couldn't resist the possibility of putting millions out of work while collecting large bonuses for cutting costs so much. What will happen to the executives that fucked this up so badly? Since executives are evaluated by other executives and they all fucked up the same way, they'll give each other a pass on their fuck up.
>>107889173depends, are you indian?
>>107889127>thoughts?You think they're just stupid but you need to understand this is completely intentional and it will not be rolled back. Can't wait for them to integrate """AI""" into the infrastructure that houses, feeds and provides health care for billions of useless eaters instead of just ruining consoomer product and serive quality.
The inflexible RTO and impulsive AI firings is the pinnacle of companies thinking employees are just a number. I saw it at my big company where employees who were there a long time and navigated the beaurocracy well to get shit done were leaving to the point the knowledge couldn’t get back filled fast enough. It became near impossible to get anything done
>>107889127AI is such a broad subject. Machine learning is absolutely useful for certain steps in the industrial pipeline but LLMs would need to be cheaper, much much cheaper to have an economic value. If they were though, AI datacenters would even be more unaffordable for companies and governments who currently plan/"build" them with unavailable resources.
economy always been fakeFAKEthey're trying to chaos you
>>107889127This is a lie to cover up outsourcing jobs lol. No fuckin' way would you srsly fire a shit ton of people based on AI peddlers saying "trust me bro". Ain't no fuckin' way.
>>107889203>What will happen to the executives that fucked this up so badly? they quit and go somewhere else to fuck over
