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Late to the party like usual

The rest of the tech world is now concerned about AI and its expense. Tokenmaxing is over. Industry is pivoting back to people. But what is CDW telling the street? That they will save 200M by using AI. Not likely, and late. What is CDW telling employees? "USE AI!! AI forward everyone" The amount of useless AI output is a major hidden cost in both tokens and time. Just wait until Q2 and Q3 to see the surprise token expense hit the bottom line.


The AI Cost Reckoning: Not Quite the Saving Grace Companies Hoped For

Companies poured billions into AI with sky-high expectations. It was supposed to be the ultimate productivity hack — slashing costs, supercharging innovation, and delivering effortless competitive advantage. Executives bet big that generative AI and automation would be the simple solution to margin pressure, talent shortages, and sluggish growth.

Now the reckoning is here.

Early pilots looked magical. Chatbots answered queries, code assistants sped up development, and analytics tools promised smarter decisions. But scaling those wins across the enterprise is proving far more expensive and complicated than the headlines suggested.

The costs are piling up: massive compute infrastructure, eye-watering energy consumption, specialized talent that commands premium salaries, constant model retraining, and the hidden expense of integrating brittle AI systems into legacy workflows. Many organizations are discovering that AI doesn’t magically replace headcount — it often requires more people to manage, monitor, and refine outputs. Hallucinations, bias issues, and compliance risks add further friction and potential liability.

The result? A growing number of leaders are quietly coming to terms with a harder truth: AI is a powerful tool, not a plug-and-play savior. ROI timelines are stretching. Some projects are being quietly deprioritized or rightsized. The hype cycle is colliding with balance-sheet reality.

That doesn’t mean AI is a bust. Far from it. The companies that will win are the ones treating it as a long-term capability build rather than a quick-fix expense. They’re focusing on narrow, high-value use cases, investing in data quality, building human-AI collaboration models, and being honest about both the upside and the total cost of ownership.

The era of “just add AI” is ending. The era of thoughtful, disciplined AI adoption is beginning.
What are you seeing in your organization — genuine transformation or mounting costs? Curious to hear real experiences.

#AI #Leadership #BusinessStrategy #TechAdoption


Gas Prices Up. RTO Gets D-mber.

Gas prices keep climbing, yet we’re still pretending there’s a business case for forcing people to drive to an office five days a week to do work that happens on a laptop.

Every increase at the pump is another pay cut for employees.

More money spent commuting, time wasted in traffic for the same work and same Teams calls that can happen anywhere in the world.

The cost of RTO keeps going up. The benefits remain impossible to find.


CEOs are waking up to the reality of AI

Well, the reality of its price and ROI. It's going to be so much fun to sit here and watch as the price tag balloons to ten times what it would have cost to keep the people who were laid of to be replaced by it. And then to watch them scramble to get the same quality of people back. I'm seated.


Hey AI Boosting Execs! This one’s for you!

On Monday, June 1st, Copilot moves to token-based billing with major adjustments to token-cost multipliers. Some models will cost 60x more per token than others. Most of what users would call the "useful" models will become exceedingly expensive in comparison to the others.

Guess I’m finally going to start using AI as much as Sandeep has begged for.

Get ready to open your wallets, you d-mb fu--ing ghouls.


Surprise! AI Costs are Higher Than Human Workers

Tech Firms and Large Employers just now realizing cost of compute is higher than paying human workers.
Nvidia VP Bryan Catanzaro told Axios that for his team, compute costs now run far beyond what his employees cost. Uber's CTO burned through his entire 2026 AI budget on coding tools alone — and that was by April. (Axios)
OpenClaw creator Peter Steinberger claimed that his team spent more than $1.3 million in token costs in just a single month. Because of this, it’s now apparent that using AI is more expensive than hiring people, especially since it offers only limited productivity gains at the moment.
Despite no clear evidence of AI improving productivity and no widespread data supporting the idea of AI displacing jobs, big tech firms have committed $740 billion in AI capital expenditures this year — a 69% jump from 2025. That spending has coincided with more than 92,000 tech layoffs in 2026 so far. (Fortune) So companies are simultaneously spending more on AI, laying people off, and discovering the math doesn't pencil out the way they projected.


Starting to lot of press on growing cost of AI

Simple Google search
Yes, AI can actually cost significantly more than human labor. A major reason for this is that running advanced AI requires massive amounts of expensive hardware and energy, making human workers the cheaper and more economically viable option for about (77\%) of roles.Why AI Can Cost More Than HumansSky-High Compute Fees: The processing power—measured in tokens—required for complex, multi-step "agentic" AI systems can outpace the costs of human salaries. Companies like Uber have reported blowing through their entire yearly AI budgets in just a few months due to heavy infrastructure usage.Expensive Hardware and Energy: Nvidia's vice president of applied deep learning has noted that for his team, AI compute costs far exceed the salaries of the employees utilizing the tools.Required Human Oversight: AI still makes frequent errors, forcing companies to pay human workers to monitor the models, review outputs, and fix breakdowns.The Economic RealityA landmark MIT study found that it is only economically viable to automate about (23\%) of jobs. In the remaining (77\%) of cases, employing a human is cheaper, more accurate, and more efficient than relying on artificial intelligence.While research firm Gartner projects that the unit cost of running large language models will drop substantially by 2030, overall enterprise costs will likely remain high. This is because businesses are utilizing much more complex models that require significantly more processing power per task.You can read more about the challenges of AI replacing human labor in this MIT Study or learn about enterprise budget shifts on Forbes.


$9K per month to run a home

I have been trying to record my family’s expenses and with everything included from mortgage to groceries to kids classes and education savings, car insurance to home insurance, it costs around $8K-9K to run a home which keeps my single salary savings to $500 per month. Do you guys see the same too or more? What are your ways to make sure you save more on a single salary?


Executive incompetence (or incontinence) is truly the root cause of all of this.

Executive incompetence (or incontinence) is truly the root cause of all of this.

Gross mismanagement of spiking costs for flash ki-led margins, awful roll out of UCPQ, project ocean was a disaster that is still the gift that keeps on giving having to pay a 3rd party to fix it.


Let me save you some heartache

Stop believing that working harder will keep you safe. The employee who shows up, does the minimum, and spends the rest of the day working the room has better job security than the top performer on the team. When layoffs come, they look at your salary first and your results second. The company does not care how good you are. It cares how much you cost.


Gas price relief?

With gas prices rising at an astronomical rate, I've heard rumors that T is considering lowering the in-office average for the summer months to 2 days a week. Obviously this would be amazing for all of the employees who are suffering with increased cost of living across the board. Is there any truth to this?


Ford Low Cost Sourcing

Does anyone know exactly how many people Ford employs in India now? From what I see, they easily outnumber our domestic groups, and I've heard numbers as high as 15,000 in Chennai?

They have become significantly harder to deal with lately. What was once a helpful partnership has devolved into constant demands and requests; I remember when both the ratio and the dynamic were the exact opposite. With Ford now pouring over cash into India to restart engine manufacturing, is anyone else concerned about where this trend is heading? It feels like we are trading our core expertise for a growing army of incompetence. Has anyone else noticed this shift?


Northwest School Boards Approve Staff Reductions

School boards across Whatcom and Skagit County have approved reductions in force. These actions address enrollment declines, increasing costs, and state funding gaps. Districts must issue layoff notices to certificated staff by May 15. However, some affected staff may be rehired based on clearer financial pictures. Bellingham School Board approved reducing 38.2 certificated staff positions. Mount Vernon School Board approved reducing 13 certificated secondary, seven certificated elementary, one administrator, and 15 classified staff positions.

Whatcom and Skagit County, Washington

https://www.cascadiadaily.com/2026/apr/30/many-school-boards-are-approving-potential-reductions-in-force-a-roundup/