AI in the Boardroom, Open Source Shake-Ups, and the Future of Quantum AI

Happy Friday!

AI is no longer a side conversation in the boardroom—it’s the conversation. But let’s be real: a lot of execs are either overwhelmed by AI jargon or stuck chasing shiny objects instead of results. So today, we’re cutting through the noise:

• What questions should be driving AI strategy at the top?

• Why Perplexity just open-sourced its R1 model (and why that matters)

• How quantum computing could take AI beyond its limits

• The ethics of AI at scale: More than just a PR stunt?

Let’s dive in.

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AI and the Boardroom: What Every Executive Needs to Ask

Enterprise AI isn’t about “Should we use AI?” anymore. It’s about how, where, and to what end. The best-run companies aren’t just throwing AI into the mix—they’re integrating it with a clear strategy.

Here are five boardroom questions separating AI leaders from the laggards:

1. What is our AI vision? Are we using AI for incremental efficiency or transformational impact?

2. Does AI align with our core business goals? If AI isn’t directly tied to revenue, cost savings, or competitive advantage, it’s a hobby, not a strategy.

3. Are we ready for AI regulations and risks? AI ethics and compliance are no longer optional. The EU and U.S. regulators are watching—closely.

4. What’s our AI talent plan? Are we upskilling existing teams, hiring specialists, or outsourcing? AI expertise is a competitive advantage.

5. How are we investing in AI? Are we placing calculated bets, or just chasing trends? AI strategy should be as disciplined as any other major business investment.

Bottom line: AI isn’t magic. It’s momentum. The execs who ask the right questions now will lead the companies that define AI’s next era.

Perplexity’s Open-Sourcing Move: Why R1-1776 Matters

Perplexity just dropped R1-1776, an open-source retrieval-augmented generation (RAG) model. Translation? They’re giving the world a tool that could change how enterprises leverage AI search and knowledge management.

Why should you care?

• Better Enterprise AI Search – Companies relying on AI to surface insights from massive datasets could benefit from this model’s advanced retrieval capabilities.

• Open-Source Means More Innovation – Expect startups and enterprises alike to build on R1-1776 for more customized AI knowledge retrieval.

• Google and OpenAI Are Watching – A move like this signals a bigger push toward open-source alternatives to proprietary AI models.

What’s next? We’ll see if enterprises adopt R1-1776 for internal AI systems—or if it sparks new innovation in AI-powered enterprise search.

Quantum AI: What Happens When AI Gets a Supercharger?

Today’s AI is impressive. But quantum AI? That could be next level.

What’s quantum AI? Think of it as a cheat code for certain AI problems—solving massive, complex calculations that today’s AI models struggle with.

How could it change AI?

• Speed and Scale – AI training could become exponentially faster.

• New AI Capabilities – Hard optimization problems (like logistics, drug discovery, and materials science) could be cracked in ways classical AI struggles with.

• Enterprise Use Cases – Expect early quantum AI adoption in finance, pharma, and supply chain management.

Reality Check: Quantum AI isn’t here yet—but companies like IBM, Google, and Microsoft are actively pushing its development. Forward-thinking enterprises should keep it on their radar.

The Ethics of Enterprise AI: How Leading Companies Are Defining Responsible AI

AI at scale isn’t just a performance challenge—it’s an ethical one. The world’s biggest enterprises are getting serious about AI responsibility because:

✅ Regulators are setting new rules.
✅ Investors are scrutinizing AI risks.
✅ Customers expect AI to be trustworthy.

How top enterprises are defining “Responsible AI” (beyond the buzzwords):

• Bias Audits & Fairness Testing – AI models are now being tested for fairness before deployment.

• Explainability Standards – The “black box” excuse is no longer acceptable. Enterprises need to show how their AI makes decisions.

• Human Oversight & Governance – The best AI strategies include humans in the loop to ensure accountability.

Takeaway? AI ethics isn’t just good PR—it’s a business imperative. Companies that integrate responsible AI into their governance will be the ones who win long-term.

TL;DR:

AI and the Boardroom – Enterprise AI strategy is now a leadership conversation. Smart execs ask: Is AI fueling business goals or just a tech trend?

Perplexity’s R1-1776 – Open-sourcing a powerful AI retrieval model could reshape enterprise AI search.

Quantum AI’s Potential – Quantum computing could unlock next-gen AI capabilities—but we’re still in early days.

Responsible AI Is More Than a Buzzword – Top enterprises are embedding AI ethics into governance, compliance, and risk management.

AI isn’t the future—it’s the present. The enterprises that lead in AI aren’t waiting for regulations, trends, or hype to guide them. They’re making smart, strategic moves now.

Which AI trends are reshaping your strategy? Hit reply and let me know what’s on your radar.

Stay sharp,

Cat Valverde
Founder, Enterprise AI Solutions
Navigating Tomorrow's Tech Landscape Together