Accenture trains 700k in AI

Today, we’re looking at Accenture’s audacious bet on AI at scale: training all 700,000 employees in agentic AI tools. It’s not just a learning push, it’s a strategic reset that could redefine enterprise readiness for AI. We are also looking at Hawaiʻi’s quiet emergence as a serious tech player to explore AI’s real-world use across government, business, and education.

In today’s post:

• Why Accenture is training every employee in AI

• AI in paradise: Hawaiʻi’s quiet tech revolution

• Why 95% of AI pilots flop inside big companies

• Best AI tools to use right now and automate work

What’s Trending Today

AGENTIC AI

Accenture is going all in on agentic AI

While others tinker, Accenture is scaling. The company just launched an AI training program for all 700,000+ of its employees, a bold move that signals where consulting (and enterprise AI) is heading.

Here’s everything you need to know:

• Accenture is training every employee in agentic AI, tools that can reason, act, and adapt.

• CEO Julie Sweet confirmed the rollout started this month in a Bloomberg interview.

• The goal: move beyond AI awareness to hands-on capability across the org, fast.

• Agentic AI refers to systems that take initiative, think task delegation, multi-step problem-solving.

• This isn't hype. It's a business strategy to meet rising demand from clients who want real outcomes.

• With over 700,000 employees globally, Accenture’s move is likely to influence how other firms approach workforce AI readiness.

• It also hints at a deeper shift: AI is no longer a specialty, it’s becoming a core skill, like spreadsheets once were.

Here’s what I think:

Accenture gets it, AI isn’t just a tool for tech teams. It’s infrastructure. Training everyone in agentic AI sends a clear message: the companies that win won’t be the ones with the flashiest models but the ones with the broadest adoption.

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SUMMIT

What 500 people just gathered in Hawaiʻi to talk about

This week, Hawaiʻi quietly hosted one of the most practical AI events in the U.S. Nearly 500 people from tech, education, and government came together to figure out how to actually make AI useful not just flashy.

Here’s everything you need to know:

• The 4th Hawaiʻi AI and Cloud Innovation Summit drew professionals from across the state and mainland.

• The focus: real-world use of AI and cloud to streamline government, support small business, and build local talent pipelines.

• Christine Sakuda, Hawaiʻi’s CIO, emphasized that AI is a tool, not a replacement for human workers.

• A major theme: AI isn’t just about tech, it’s about trust, training, and teamwork.

• Attendees included researchers like Kevin Olival, who sees AI helping agriculture and resilience efforts.

• Safeguards were a major talking point. The goal is innovation with intention, not reckless adoption.

• Organizers highlighted Hawaiʻi’s potential to become a model for ethical, community-focused AI use.

Here’s what I think:

While Silicon Valley chases headlines, Hawaiʻi is quietly building something more grounded: tech that actually helps people do their jobs better. The lesson here? The future of AI might not be about who moves fastest but who moves smartest.

RESEARCH

The real reason enterprise AI fails

Fast Company just published a sharp piece on in-house AI pilots. It’s full of hard-earned insight and the numbers behind it are brutal.

Here’s everything you need to know:

• A new MIT study found 95% of GenAI pilots fail to deliver measurable business value.

• The cause isn’t the tech, it’s the mismatch between how companies work and how AI needs to be integrated.

• Most pilots stay “on the side” instead of being embedded in real workflows.

• Budgets lean heavily toward sales experiments, but the biggest ROI is often in unsexy back-office automation.

• Internal builds succeed just 33% of the time, vs. 67% for vendor partnerships.

• Shadow AI employees using chatbots without oversight is already widespread and warps measurement.

• It’s not a tech problem, it’s an incentives problem. Pilots suffocate in cultures built around short-term deliverables.

Companies keep trying to sprinkle AI on top of old workflows and wonder why nothing sticks. The ones that win treat AI like plumbing invisible but essential and align incentives so people actually want to use it. If you’re serious about AI, start with process, not hype.

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