Best-selling author, “Effective: How to Do Great Work in a Fast-Changing World” Fixing the collision of work, humans, and tech at Anthrome Insight LLC.
Joined May 2009
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People always ask for examples of constructive business practices
From @TheAthletic: The U.S. men's team is enlisting dogs to help athletes facing high-pressure moments during the World Cup. The inclusion of dogs in the workplace is part of an expanding trend across soccer teams. nyti.ms/4uSOw2D
ALT A puppy with the headline: Puppy Love Is Helping the U.S. Team Decompress
Melissa Swift retweeted
‘Melissophobia’ is a fear of bees.
‘Mel’ is Latin for “honey.”
The name, ‘Melissa,’ comes from the Greek word for “honeybee.”
In Greek mythology, Melissa was a nymph who fed the infant Zeus honey instead of milk. Later, the gods turned her into a bee (spoiler alert).
Melissa Swift retweeted
What really drives leaders to resist remote work isn't productivity. It’s ego.
Our new data: Ordering people in full-time is a power & status move. Bosses want to be worshiped at the office altar.
Policies shouldn’t be vanity projects. Hybrid is better for people & performance.
Melissa Swift retweeted
how it feels to keep up with ai news
xitter.cf/cosyposter/status/2066…
Melissa Swift retweeted
I wonder if any medieval peasants stayed awake at night replaying awkward conversations
Just lying there in the dark thinking, “I was weird at the well”
Melissa Swift retweeted
The comparision between redesigning factory floors for electricity and knowledge work for AI has come up often this month so why not read the original source of the comparison, Computer and Dynamo by Paul David in 1989.
(Not surprisngly, gwern has it online and it is worth reading.)
True - and - the reality is that most work is far more “messy” than the leaders supervising it understand.
This is an interesting way to think about AI and jobs. The more intertwined your routine and discretionary tasks are, the more resilient you likely are to it. theatlantic.com/economy/2026…
Exactly! Technology is neutral to positive…how we integrate into work it is what goes wrong…(and what we could make go right, if we got it together)
UC Berkeley researchers found AI is making white-collar workers MORE burned out, not less. Turns out nonstop AI-powered productivity doesn’t leave room for rest or quality. The tool is good; the expectations it creates are the problem.
#AI #FutureOfWork
fortune.com/2026/02/10/ai-fu…
Melissa Swift retweeted
Wu-Tang Clan will perform at Knicks-Spurs NBA Finals Game 4 halftime show trib.al/Us0XkNT
Melissa Swift retweeted
Wemby is like AI's impact on the labor market
It feels inevitable but it's not happening quite yet
Yup, if eliciting tacit knowledge was easy, organizations would have done it eons ago.
Melissa Swift retweeted
I feel this way about everything there was a whole surge of apps and websites and companies and experiences that were basically only good because the people running them didn’t understand how expensive it was to provide something good
The golden years of AirBNB were a temporary arbitrage on depreciation.
There was a universe of beautiful well-maintained properties and hosts that had not been worn down by short term guests.
And the AirBNB hosts didn’t properly estimate the cost of depreciation to maintain that standard, so costs were irrationally low
That era fundamentally cant return, it was a temporary arbitrage opportunity
There was once a supply of fairly pristine unused space and now there’s not
If a space does manage to hit the 2014 standard, it must charge a lot more to fight depreciation
And at that point a hotel is generally better
Melissa Swift retweeted
The CEO of Goldman Sachs is taking the other side on the pessimistic takes on AI and jobs.
If you looked at what work looked like a few decades ago and saw how much faster everything is or easier it is to produce the same thing as before - even before AI - you’d certainly have been convinced there’d be no jobs left.
What happens is we constantly just demand more from everything. Instead of automating a task and delivering the same value proposition, but cheaper, we just expect more from the overall product or service. Because some players in the market decides to do more with the automation, and it raises everyone’s expectations. So those that don’t respond can’t compete.
We get more financial analysis from analysts. We get much more comprehensive legal advice. We get more tailored financial services offerings. We get better software in niches we never thought we could automate. Our healthcare providers offer more tests and deeper medical advice. This just goes on and on.
When you move from believing the world is static and you’ll have a better view of how jobs evolve due to AI.
