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 : Apple may finally let Siri work with the AI your team relies on. Bloomberg reports iOS 27 will add "Extensions" - let...
04/07/2026

: Apple may finally let Siri work with the AI your team relies on. Bloomberg reports iOS 27 will add "Extensions" - letting any App Store chatbot, like Claude or Google Gemini, integrate with Siri.

It is rumored that Apple will unveil the new LLM extensions at WWDC 2026 in June.

Link in the first comment.

Every tech leader asks the same question before any big software investment: Is this really worth it? We’ve helped compa...
04/06/2026

Every tech leader asks the same question before any big software investment: Is this really worth it? We’ve helped companies find that answer: not through guesses, but through data.

McKinsey reports that firms tracking IT ROI are 2.5x more likely to outperform peers on profitability.

• Software’s real value often hides behind integration and optimization
• ROI depends on more than features; it hinges on adoption
• Smart measurement turns software from a cost center to a growth driver

We break down how to measure enterprise software ROI and uncover true business value in our latest piece.

Link in first comment.

Les Jones Atiba Marketing DirectorAnthropic, the company that makes Claude, released a report this week that anyone conc...
04/02/2026

Les Jones
Atiba Marketing Director

Anthropic, the company that makes Claude, released a report this week that anyone concerned about being replaced by AI should be aware of. The report is as long as the Monday after a holiday, so here is a recap.

Anthropic’s research basically says AI, especially tools like ChatGPT and Claude, is starting to touch a lot of high-skill office jobs. But even though those roles are “exposed,” we’re not yet seeing major job losses.

What *is* happening is slower hiring and slower growth in those areas, especially for younger workers just starting out.

THE MOST IMPORTANT POINTS

Who’s most affected?
Jobs that deal with information, like software, finance, and admin work, are the ones feeling the squeeze the most. These tend to be higher-paying roles filled by well-educated workers.

Entry-level is feeling it first
Hiring has slowed for people in their early 20s trying to break into these fields. AI might be squeezing the bottom of the ladder before pushing people out of jobs entirely.

AI isn’t replacing people as much as expected
Even though AI could , in theory, automate many tasks, in reality, it’s mostly being used to help people work faster or better, not replace them outright. Most usage is more “assistive” than fully automated.

No mass layoffs (so far)
Despite all the hype, there hasn’t been a clear jump in unemployment among these workers since AI tools started taking off.

Long-term outlook
Jobs that are heavily exposed to AI might still grow, just not as quickly over the next decade.

Bottom line:
If you’re worried that AI will take your job, Anthropic’s research indicates you can breathe a little easier; you have time to adapt. AI isn’t causing an overnight job apocalypse. It’s a slow shift: jobs are changing, skills are evolving, and the biggest impact right now is how a job gets done, not whether it exists at all.

Les

04/01/2026

We were fortunate to have A.J. Bahou speak at our AI and the Law webinar. (Video link in comments.) In this clip, he discusses intellectual property issues related to generative AI content.

A.J. serves as Chair of the Artificial Intelligence Task Force for the Tennessee Bar Association. He is Chair of the Artificial Intelligence (AI) Practice at Bradley Arant Boult Cummings LLP.

  A new study questions whether AI saves work time or increases output while requiring more work time."Workforce analyti...
03/31/2026

A new study questions whether AI saves work time or increases output while requiring more work time.

"Workforce analytics company ActivTrak analyzed work activity across 163,638 employees in 1,111 organizations over three years, only to find that AI is actually increasing the average workload of employees.

“The AI users reported spending more time on every measured work category after AI adoption, with not a single work category showing any decrease. The number of emails a worker had to send was up 104%, chat and messaging was up 145%, and time spent with business management tools was up 94%.”

Link in comments.

03/26/2026

The Fantasy Baseball AI Bot That Hit the Top of ESPN

Fantasy baseball can be a time sink, so Atiba software developer Matt Sullivan built software to run his teams for him. The result was simple and wild: his bot drafted, managed, and updated rosters with no human input, then climbed to the top of ESPN's worldwide leaderboard.

How the fantasy baseball bot worked

Matt had played fantasy baseball since the mid-2000s and started building the bot around 2015. It handled draft picks, budget decisions, daily starts and benches, and roster moves, including when to drop and replace a player.

"From the time I wrote my bots and let them draft my teams, I never touched them."

That full automation paid off. In 2016, the bots finished first and second on ESPN's worldwide leaderboard. They repeated the feat in 2017. As Matt joked, they seemed to do it better than he could.

Why baseball worked better than football

Baseball gave the bot a bigger, cleaner data set. A Major League season has 162 games, while an NFL season has 17. Because baseball offers more games and less week-to-week randomness, the models had more chances to spot patterns and make solid choices.

Matt says the real fun came from building something creative. Many employees at Atiba make music, woodwork, 3D-print, or write novels. For Matt, writing a bot scratched that same creative itch.

Link to the full webinar video in comments.

 : AI is moving fast, and the language around it can feel like a moving target. We see leaders struggle not with strateg...
03/24/2026

: AI is moving fast, and the language around it can feel like a moving target. We see leaders struggle not with strategy, but with simple clarity on what terms really mean.

If you want a clearer view, this AI glossary is worth your time:

• Breaks down key terms in plain English.
• Helps teams align faster on AI conversations.
• Cuts through hype and buzzwords.

We are using resources like this to keep our clients grounded and focused on real outcomes.

Link in first comment.

"Is this worth it?" Every executive asks that before a major software investment. Most ROI models count only cost saving...
03/20/2026

"Is this worth it?" Every executive asks that before a major software investment. Most ROI models count only cost savings - and miss the bigger picture. According to Gartner, businesses spend up to 60% of their IT budget just keeping legacy systems running.

We put together a guide that breaks down enterprise software ROI across three dimensions:

• Financial: cost savings and revenue lift
• Operational: efficiency gains from automation and speed
• Strategic: competitive advantage that compounds over time

Link in the first comment.

03/19/2026

Docker Compose for AI Projects. (Second video in comments.) On a more technical topic, Atiba software developers Evan Borchert and Caleb Scholze discuss containers and AI software development.

By Rachael GobrialAtiba Chief Delivery OfficerSoftware Modernization: Is 2026 the Year to Rebuild or Iterate?Many compan...
03/18/2026

By Rachael Gobrial
Atiba Chief Delivery Officer

Software Modernization: Is 2026 the Year to Rebuild or Iterate?

Many companies are running critical business operations on systems built for a different era. Maybe you don't think of yours as "legacy." But if your best developers avoid certain parts of the codebase, new features take twice as long as they should, or your roadmap is shaped by what the system can't do rather than what your customers need, that's worth paying attention to.
If you answered yes to more than one of those, you're not dealing with a maintenance problem. You're dealing with a strategic one.

Why 2026 is different

The barrier to starting a modernization effort has dropped. AI agentic coding tools have shifted the economics in ways that weren't true two years ago. Tasks that once consumed senior developer hours, reading unfamiliar codebases, writing tests, mapping dependencies, can now be accelerated significantly. What used to feel too costly and time-consuming to justify is becoming more attainable. That changes the calculus for companies that have been deferring this decision.

Rebuild or iterate: the right questions

Iteration makes sense when the core architecture is sound, and the friction is in features or integrations that have grown around it. If your fundamental data model and business logic are solid, modernizing in layers can extend the system's life meaningfully without the risk of starting over.

Rebuilding makes sense when the architecture itself has become the constraint. When every new feature requires working around the structure rather than within it. When the system is so tightly coupled that changing one thing breaks three others. When fewer developers want to work in the stack it runs on.

The honest answer for most mid-size companies is neither a clean rebuild nor a clean iteration. It's phased modernization: identify the highest-friction components, address those first, and make better decisions about the rest once you're inside the work.

The question worth sitting with

What is your current system costing you in organizational velocity, and what would it open up if that constraint was removed? That question usually tells you more than any technical assessment.

Is your company navigating this decision right now? How are you all thinking about it right now?

  - Raw data can be a maze for any leader. We know that clear visuals help you make better moves faster. According to th...
03/17/2026

- Raw data can be a maze for any leader. We know that clear visuals help you make better moves faster. According to the Wharton School of Business, using data visualizations can shorten your meetings by 24%.

Graphy turns messy numbers into great stories.

• See trends instantly with beautiful charts.
• Update your reports with just one click.
• Share interactive insights across your whole team.

Stop squinting at rows of data and start leading with clarity.
Link in first comment.

Big Tech, AI Startups, and the Capital Loop Powering BothJJ Rosen, Atiba Founder and CEOA couple of weeks ago, I wrote a...
03/12/2026

Big Tech, AI Startups, and the Capital Loop Powering Both
JJ Rosen, Atiba Founder and CEO

A couple of weeks ago, I wrote a post about the circular flow of money between "Big Tech" and AI startups. The more I dig in, the more I realize the real issue isn’t the size of the investment. It’s the structure.

Here is what’s quietly happening alongside those massive AI investments:

1. Big Tech invests in AI startups
2. Startups spend that money on Big Tech infrastructure
3. Big Tech books revenue
4. Big Tech raises debt to build even more AI infrastructure
5. Repeat

That’s not necessarily wrong, but it does change what we’re measuring:

• Revenue growth driven by independent customer demand is one thing.
• Revenue growth driven by capital recirculating through affiliated ecosystems is something else.
• And now we’re layering debt on top of that system.

Again, I’m not arguing that the technology isn’t transformative. It is. I am loving the productivity gains for myself and our company. But when capital flows in loops and leverage amplifies them, traditional valuation logic gets blurry.

• Markets are good at pricing growth.
• They’re less good at pricing reflexivity.

The real question isn’t: “Is AI valuable?” It’s: “How much of today’s growth is durable external demand, and how much is ecosystem-driven capital movement?”

Those are two very different foundations. Still thinking about this...

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