Josh Bell

@stonefieldstrategy.com

Helping SME leaders make confident AI decisions | 20+ years solving real problems. I don’t review tools. I help you ask better questions. www.stonefieldstrategy.com

A great offering CAST! AI literacy is such an important undertaking in today’s digital world and to give people the space to learn and explore. Keep up the great work!

CAST - Centre for the Acceleration of Social Technology@techforgoodcast.bsky.social · last mo.

🚀 Two free AI courses! We've created two #free, self-serve courses: one providing an introduction to #AI, and another aimed at those people who feel they are advancing with AI, and want to support their colleagues to do the same. Intro course 👉 buff.ly/4gfaOEF Follow-on course 👉 buff.ly/1KSivpU

Charity staff are going rogue with AI, 42% using personal accounts at work, half of them not even sure if it’s allowed. Meanwhile, orgs are still fumbling on policy and training. The tech enthusiasm is there. The support structures really aren’t.​​​​​​​​​​​​​​​​

CAST - Centre for the Acceleration of Social Technology@techforgoodcast.bsky.social · 3mo ago

🔍 Our AI survey results are in! Check out our new blog covering all the results. Here's just a snapshot: ✅ 60% of respondents were feeling more positive about AI 📍 99% identified at least one support need 💡 88% wanted access to peers to discuss AI Dive in to all the results here 👉 buff.ly/7ht7zxe

Stanford AI Index: $581B invested in AI in 2025, mostly into big tech. Meanwhile small businesses sit paralyzed by analysis. The gap isn't technical anymore, it's strategic. Stop waiting for perfect info. Pick one problem, test it, measure results.

Artificial Intelligence News@knowentry.com · 4mo ago

spectrum.ieee.org/state-of-ai-... #AI #artificialintelligence 12 Graphs That Explain the State of AI in 2026 AI investment is skyrocketing while AI’s impact on jobs and public perception remains mixed.

Most AI decisions stall because leaders are trying to solve a problem and explore an opportunity at the same time. Those are different conversations. Mix them up and nothing ever resolves.

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Someone told me yesterday: 'I was so confused about AI. I thought I was behind. After talking to you, I realized I was just making a smart decision to wait.' That's the feeling I'm going for. Relief, not urgency.

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Before you implement AI, document your current process. I mean actually write down what you're doing. Most companies find they can improve 20-30% just by standardizing what they're already doing. Then you know if you actually need AI.

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The companies that succeed with AI have one thing in common: they know exactly what problem they're solving before they talk to any vendors. The ones that fail start with vendor demos. Demo first = disaster. Problem first = success.

Team alignment is the #1 predictor of AI success. Not budget. Not technology. Team alignment. If your team doesn't want it, it won't work. So ask them first. Really ask them. Listen to the real concerns.

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I've seen companies spend $100K on AI to solve a $30K problem. I've seen them spend nothing and solve it with a $15K hire. The difference isn't the budget. It's whether they did step 2 of my framework: calculate the actual cost of the problem.

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Weekly recap: AI isn't always the answer. Sometimes the smartest move is to wait. If you're feeling pressure to implement AI, you're not alone. And you're not wrong to be skeptical.

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Have you said no to an AI implementation? I'd love to hear your story. What made you confident in that decision? Sometimes the best business decisions are the ones you didn't make. Drop a reply below.

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Most AI projects don't deliver the promised ROI. Not because AI is bad, but because expectations are unrealistic. Here's the real question: can you describe a specific problem and a realistic 12-month ROI? If not, you're not ready yet. And that's actually smart.

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Vendors promise 30% efficiency gains. But they don't mention implementation delays, training costs, change management, and data quality issues. By the time you factor it all in, those gains shrink fast. Before you implement AI, ask: what's my realistic ROI in 12 months?

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There's a lot of pressure to jump on AI right now. But here's what I've learned: the best strategic decisions sometimes look like you're doing nothing. If you're not ready, you're not ready. And that's okay. Better to wait and be right than to rush and be wrong.

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Real question: How many times have you been pressured to implement something because 'everyone else is doing it'? I've seen smart business owners waste $50K on AI they didn't need. The best decision isn't always yes. Sometimes it's 'not yet.'

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Not every business needs AI. Here's the truth: if you can't describe your problem in one sentence, you're not ready for AI. If your team doesn't want it, it won't work. If you have a process problem, not a tech problem, AI will just automate the mess. Sometimes the best move is 'not now.'

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The AI shift isn’t coming, it’s here. The real challenge isn’t the tech, but whether we build a future that works for people. We need smarter systems, yes, but also fairness, support, and time to adapt. Progress shouldn’t leave people behind. Let’s shape it wisely.

The Atlantic@theatlantic.com · 6mo ago

If AI eliminates a massive number of jobs, the consequences won’t stop at the economy—they will “test political institutions that have already shown how brittle they can be,” Josh Tyrangiel reports: theatln.tc/dJ29sokd

AI says all the right things but means none of it. No weight, no consequence. Over time, that erodes what honest communication feels like. We’re not just getting smarter tools, we’re changing how we relate to words and each other, without deciding to. That’s worth noticing.

The Atlantic@theatlantic.com · 6mo ago

“An LLM’s words shape our beliefs, decisions, and actions, yet no speaker stands behind them.” Deb Roy on how AI might be training us to “accept words without ownership and meaning without accountability.”