👓 The Smart Chess-cheating Glass Is Here

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AGI is the hot topic among tech leaders, with many claiming it’s closer than we think. The problem? No one can agree on what AGI actually is—let alone when it might become reality.

What are on FIRE 🔥

• 🤖 Deloitte’s State of Generative AI in the Enterprise Quarter 4 Report

• 🌟 AI Highlights

• 💸 Daily AI Fundraising

• 📚 AI Sources From AI Fire

• 🏅 AI Tools

• ⚡ 5 AI Quick Hits

• 📊 AI Chart

• 💼 4 AI Jobs

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AI INSIGHTS

🤖 Deloitte’s State of Generative AI in the Enterprise Quarter 4 Report

Organizations love the promise of Generative AI (GenAI), but scaling it? That’s a whole different ballgame. Most companies expect it’ll take 12 months or more to solve critical adoption barriers like governance, training, and workforce integration. Sound slow? It is—but it’s also realistic.

For context, here’s what “12 months or more” means in the corporate world:

• It’s twice as long as the average tenure of a startup CTO.

• Just enough time for your favorite GenAI tool to go from hot new trend to “everyone uses it.”

• The same timeframe it took to launch OpenAI’s GPT-4 after GPT-3.

And here’s what’s holding GenAI back:

• Governance: 52% of respondents say it’ll take 1–2 years to set up governance strategies.

• Data Issues: 51% expect to resolve these in the same timeframe, but let’s be honest—data problems love to stick around.

• Training: 44% think they’ll get their workforce up to speed in under a year, but… good luck with that.

So, what’s the plan for tackling these challenges? Deloitte’s respondents offered a few hints:

1. Patience is a virtue: 76% of organizations said they’d wait at least a year before scaling back on underperforming GenAI projects. Translation? They’re in it for the long haul.

2. Focus on ROI: While adoption is slow, companies are laser-focused on proving GenAI’s value. Some are already seeing returns in cybersecurity, with 44% exceeding ROI expectations there.

Why does this matter? Because if your company’s not already experimenting with GenAI, you’re falling behind. Organizations are running 20 or fewer experiments each, with 10–30% expected to scale soon. It’s like the early days of the internet: slow adoption now, massive impact later.

Why it matters: GenAI adoption might feel like watching paint dry, but once these barriers are cleared, the pace will pick up fast. And with buzzwords like Agentic AI (autonomous AI systems) making waves, the future’s closer than you think.

In short, if you’re not planning for GenAI now, you might end up reading about your competitors’ success in next year’s Deloitte report. Don’t say we didn’t warn you.

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TODAY IN AI

AI HIGHLIGHTS

🚀 French AI startup Mistral, valued at $6B, denies Microsoft acquisition rumors. Instead, it confirms IPO plans while expanding in Asia-Pacific and competing with OpenAI's "Le Chat.

🤖 Anthropic CEO: AGI Is a 'Marketing Term'. He called AGI a buzzword, preferring "powerful AI." He predicts AI will surpass human abilities by 2026, like a "country of geniuses in a data center."

🌍 Goldman Sachs launches "GS AI Assistant" for 10,000 staff, expanding to all employees in 2025.

🔎 Perplexity's Sonar Pro API, now available, delivers fast, accurate generative search with real-time web data and citations. It's customizable and ideal for businesses needing reliable AI tools.

🔒 LinkedIn is sued by Premium users for allegedly sharing private messages to train AI models without consent. Users claim privacy policies were quietly updated to hide this.

👓 A 17-year-old boy modified Ray-Ban Meta glasses to use AI for suggesting perfect chess moves. The invention amazed the chess community Chess.com.

DAILY AI FUNDRAISING

Egregious raised $1M Pre-Seed funding to protect against AI misuse, focusing on critical sectors like security, finance, and marketing. Its tools detect and counter AI-driven threats, ensuring safety and trust.

AI SOURCES FROM AI FIRE

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4. 🔍 Needle enables AI search across all your data in seconds

5. 🌐 Butternut AI builds websites instantly using generative AI

AI QUICK HITS

1. 🤖 Anthropic to Launch ‘Two-Way’ Voice Mode for Claude (Link)

2. 📿 AI Necklace 'Friend' Delayed Until Q3 Release (Link)

3. 🏂 AI Judge Debuts at X Games Snowboard Superpipe (Link)

4. 💰 Google Invests $1 Billion in Anthropic Partnership (Link)

5. 📚 Agents Course on Hugging Face Learn (Link)

AI CHART

Are We Trusting AI Without Knowing It?

While everyone’s busy debating GPT’s latest trick or wondering when ChatGPT will start charging for coffee recommendations, there’s a bigger trend quietly reshaping the way we choose businesses: AI-generated Google Reviews.

Turns out, the "authentic" review you just trusted might not be written by a person at all. Nearly 1 in 5 Google reviews in 2024 was AI-generated.

Here’s the big picture:

• From 2019 to 2024, AI-generated reviews skyrocketed by 279.2%.

• In 2023, 12.21% of Google reviews were AI-generated. By 2024? 19%. That’s a near doubling in just one year.

• To put it in perspective, 19% is close to the percentage of Americans who still use Facebook as their main news source. Scary, right?

So, What’s the Deal with AI Reviews?

On one hand, businesses are using AI to generate feedback faster and fill in gaps in their online presence. But on the other hand, if you can’t trust reviews, how do you pick a restaurant, choose a contractor, or book a hotel? And what happens when businesses misuse this tool to flood platforms with fake five-star reviews?

Human vs. AI: Who’s Still Winning?

Thankfully, 81% of Google reviews in 2024 were still human-written. For now, humans hold the majority, and their feedback is seen as more authentic and relatable. But let’s be honest—AI is catching up. It’s not hard to imagine a future where you’re reading glowing reviews written by a bot that’s never tasted pasta.

The Bigger Picture: A 279% Leap in Five Years

In 2019, only 5.01% of Google reviews were AI-generated. Fast forward to 2024, and we’re looking at nearly 1 in 5 reviews. This isn’t just a trend—it’s a shift in how businesses and consumers interact online.

If AI-generated reviews keep growing at this pace, they’ll soon be the norm rather than the exception. That’s great if it helps businesses streamline feedback, but it’s a nightmare for anyone who relies on reviews to make informed decisions.

What This Means for You (and Everyone Else)

For businesses, AI reviews can be a double-edged sword:

• Pros: They’re fast, scalable, and consistent.

• Cons: Overuse can backfire, eroding trust and even attracting scrutiny from platforms like Google.

For consumers, the rise of AI reviews introduces uncertainty. Can you tell which reviews are written by a person and which by a bot? If trust in reviews collapses, the entire feedback ecosystem could crumble.

Final Thoughts

The rise of AI in Google reviews is a reminder of how quickly things are changing. While 19% AI-generated reviews showcase the power of technology, the 81% human-written reviews underline the importance of authenticity.

For businesses, the challenge is clear: use AI responsibly to build trust, not break it. And for consumers? Maybe it’s time to read reviews with a bit more skepticism—or better yet

AI JOBS

• University of Wisconsin–Madison: Research Data Scientist (AI/ML) (Link)

• Deloitte: HPC-AI Solution Architect (Link)

• Microsoft: Cloud Solution Architect – Data and AI (Link)

• EY: AI & Machine Learning Engineer - Manager - Consulting - Location OPEN (Link)

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The AI Fire Team