All surreptitious tactics to correlate and report on the productivity of employees.
What is missing? Context.
Every job is different. Top performers may execute their jobs differently when full context is understood.
—> So, what systems have almost perfected context in the past 12 months? LLMs.
That AI agent that sits on your shoulder, reads every email, watches every keystroke, listens to every conversation, analyzes every spreadsheet, records everyone else’s opinion of you.
That “copilot” that has been promised to make you superhuman is also reporting back (to who paid for that agent) the exact contribution you are making to the business.
How many hours are you actually working?
What measurable output comes from those hours?
How many meetings are you attending and not leading, taking away actions, and/or actually completing them?
How many jobs are not directly impacting revenue growth, cost control, client satisfaction, partner enablement, or product innovation?
Layoffs are hitting by the tens of thousands per company almost daily. These aren’t people who managers deem “low performers” (which was always subjective and unfair) but who AI reports aren’t providing an acceptable ROI (with surprising accuracy and getting better each day).
Case in point (in past 48 hours):
The situation at Meta has escalated rapidly as the company prepares for a massive workforce reduction (10% or 8,000 people) while simultaneously rolling out new, highly invasive tracking software.
The convergence of surveillance, imminent job cuts, and labor organizing marks a significant turning point in the technology industry internal culture (and soon to be all industries).
—> This isn’t AI replacing your job. It is AI causing your job loss.
One of the interesting (and unpredictable) side effects of AI may be the resurgence of unionized workforces.
Recruitment flyers are already in bathrooms in the U.S. 🇺🇸 and UK 🇬🇧 at Meta.
Unions first exploded on an international scale between 1877 and 1886 during the Great Upheaval.
A second, even larger explosion occurred in the Great Depression (and the New Deal in the U.S.) during the 1930s.
Will AI trigger a massive third wave?
What is missing? Context.
Every job is different. Top performers may execute their jobs differently when full context is understood.
—> So, what systems have almost perfected context in the past 12 months? LLMs.
That AI agent that sits on your shoulder, reads every email, watches every keystroke, listens to every conversation, analyzes every spreadsheet, records everyone else’s opinion of you.
That “copilot” that has been promised to make you superhuman is also reporting back (to who paid for that agent) the exact contribution you are making to the business.
How many hours are you actually working?
What measurable output comes from those hours?
How many meetings are you attending and not leading, taking away actions, and/or actually completing them?
How many jobs are not directly impacting revenue growth, cost control, client satisfaction, partner enablement, or product innovation?
Layoffs are hitting by the tens of thousands per company almost daily. These aren’t people who managers deem “low performers” (which was always subjective and unfair) but who AI reports aren’t providing an acceptable ROI (with surprising accuracy and getting better each day).
Case in point (in past 48 hours):
The situation at Meta has escalated rapidly as the company prepares for a massive workforce reduction (10% or 8,000 people) while simultaneously rolling out new, highly invasive tracking software.
The convergence of surveillance, imminent job cuts, and labor organizing marks a significant turning point in the technology industry internal culture (and soon to be all industries).
—> This isn’t AI replacing your job. It is AI causing your job loss.
One of the interesting (and unpredictable) side effects of AI may be the resurgence of unionized workforces.
Recruitment flyers are already in bathrooms in the U.S. 🇺🇸 and UK 🇬🇧 at Meta.
Unions first exploded on an international scale between 1877 and 1886 during the Great Upheaval.
A second, even larger explosion occurred in the Great Depression (and the New Deal in the U.S.) during the 1930s.
Will AI trigger a massive third wave?
