AI won’t save your strategy. It’s busy writing haikus for middle managers. Ruthless focus, however, will make you untouchable.
Praveen Puri
President, Puri Consulting LLC
Executive Advisor | Unsticking Complex Projects
I cut through strategic noise so leaders move faster.
If your team needs a ‘transformation office,’ it means you’ve already lost control.
Praveen Puri
President, Puri Consulting LLC
Executive Advisor | Unsticking Complex Projects
I cut through strategic noise so leaders move faster.
Big tech projects don’t crash—they suffocate under status updates while everyone lies that ‘we’re on track.’ I call the time of death early.
Praveen Puri
President, Puri Consulting LLC
Executive Advisor | Unsticking Complex Projects
I cut through strategic noise so leaders move faster.
Praveen Puri
President, Puri Consulting LLC
Executive Advisor | Unsticking Complex Projects
I cut through strategic noise so leaders move faster.
If your roadmap needs 80 slides, congratulations! You’ve already lost. I can explain mine on a bar napkin while you’re still finding the clicker.
Praveen Puri
President, Puri Consulting LLC
Executive Advisor | Unsticking Complex Projects
I cut through strategic noise so leaders move faster.
Praveen Puri
President, Puri Consulting LLC
Executive Advisor | Unsticking Complex Projects Fast
A lot of articles these days are focusing on disillusionment with AI and reference the now-infamous MIT report. But, from a historical perspective, this is nothing new and doesn't mean that AI itself will prove useless. All previous major inventions (electricity, cars, personal computers, the internet) had a time gap from when they came out, to when they achieved mainstream adoption. During these gaps, there were a lot of startups, a lot of experimenting, setbacks, and money lost.I suspect the main reason is that, with all these technologies, for businesses to extract the maximum value, they have to make changes to their business processes and strategies. At first, they simply try to use the technology to speed up their existing processes, which weren't designed with the technology in mind.
Today, I read something incredible (I added the bold):
Ford's CEO had an EV wake-up call after tearing apart cars from Tesla and its rivals in China.
Speaking on an upcoming episode of the "Office Hours: Business Edition" podcast, Jim Farley said the "shocking" realization of how far ahead Elon Musk's automaker and China's EV upstarts were pushed him to overhaul the company.
The Detroit executive said Ford's Mustang Mach-E had around 1.6km more electrical wiring than the Tesla, adding extra weight to the car and requiring a much bigger and more expensive battery.
From today's Eric Zorn substack:
It will brighten your day to learn that page B-3 of the weekend print edition of the Wall Street Journal referred to Netflix executive Cindy Holland as “Cindy the Netherlands.”
The use of automated language police officers predates AI, and some of us are still amused to recall how a program installed on the OneNewsNowwebsite of the conservative American Family Association (now American Family News) changed the name of U.S. sprinter Tyson Gay to “Tyson Homosexual” in its coverage of the 2008 Olympic trials.
These developers bought the CBOE building in downtown Chicago for $12 million in June 2024, with the idea of turning it into a datacenter.
They were smart, visionary, and secured more power from Com Ed by applying for a long term deal three years ago, when they were still negotiating for the building, and just before the current AI datacenter craze.
Since everyone wants data centers, it’s now a long process to secure power contracts, so they increased the value of the property.
Now, they flipped the building to another company that wants to build a datacenter for $40 million!
I subscribe to the substack of Eric Zorn, former Chicago Tribune columnist.
In today's issue, one of the items was a language criticism of a recent Chicago Tribune editorial:
the Editorial Board seems either not to know or not to care that “disinterested” is not a synonym for “uninterested,” which is plainly the concept they were going for.
An uninterested person is bored, unconcerned, or indifferent; and a disinterested person is impartial, unbiased, or has no stake in the outcome.
You want the referee of your game to be disinterested. You don’t want the referee to have a bet on the game. As another example, if you’re on trial, you want a disinterested judge.
Here’s how to use these words according to the traditional rules:
Squiggly was uninterested in the Super Bowl. Instead, he was looking forward to the Puppy Bowl.
The ex-wife can hardly be considered a disinterested party in the estate sale.
A study asked a group of doctors this basic #statistics question, and most got it wrong: A rare disease affects 1 out of 1000 people, and the test to detect it has a false positive rate of 5%. If someone tests positive, what is the chance that they actually have the disease?
Can you guess the correct answer?
(To view the answer, just click on the "Show/Hide Answer button" below)
I don't see #Amazon as needing to compete with #OpenAI, #Meta, #Anthropic, etc. by developing their own #AI #LLM. The Amazon retail experience already has great usability, use of data, and recommendation / search algorithms.
I think they might be better off working agnostically with all model makers:
1. To offer the models in AWS for customers to use.
2. Getting all the model makers to embed APIs so that #chatbots can allow users to purchase products instantly that come up in query answers.
I'm increasingly skeptical that #AI will put people out of work. History has shown that life becomes continually complex and new jobs are always created. I always write that the Information Age is gone, and we are now in the Attention Scarcity Age. Change is happening faster than ever, people are drowning in information, and attention / focus are the new scarce resources.
My prediction is that #LLMs and AI might take over basic, repetitive stuff, but human experts will be busy doing things, like evaluating #AIAgents. With all the change happening, to stay competitive, it will take full time people just to keep testing an evaluating which models and agents to use, how to deploy them, and help them cope with change.
We've been here before:
1. Historical - hundreds of thousands of jobs like blacksmiths, elevator operators, stenographers, and typesetters were eliminated, but new jobs were created.
2. McDonalds - They added ordering kiosks in stores and people thought it would eliminate jobs. Instead, the pandemic happened, and people switched to drive-through, and they added mobile ordering / curbside. That created jobs.
