AI Labs are Chasing the Future: Here’s What It Means for Your Company

AI lab (illustration)

AI Labs’ Future Focus Matters for Your Business Today

While we’re all using AI tools daily, the big AI labs like OpenAI and Google’s Deepmind are fixated on a distant future. This disconnect between current AI products and future ambitions is critical for your business strategy. Here’s why you need to pay attention and how to adapt.

The AI Paradox: Billion-Dollar Products vs. Future Dreams

You’ve likely noticed that many AI products feel unfinished. There’s a reason: the major AI labs simply aren’t prioritising them.

Despite making billions from current AI tools, these labs are fixated on a bigger prize: Artificial General Intelligence (AGI). An OpenAI researcher puts it bluntly:

“Close to 100% of the fruits of AI are in the future, from self-improving superintelligence.”

This means today’s tools are more like previews than finished products. The AI you’re using is essentially a by-product of a much larger mission.

Why This Matters for Your Business

This future focus of AI labs has significant implications for your business:

1. Limited improvements to current tools: Don’t expect major upgrades to the AI tools you’re using now, especially in terms of user experience or specific business applications.

2. Misaligned expectations: If you’re counting on rapid advancements in current AI tools to solve your business problems, you might be disappointed.

3. Strategic planning challenges: The gap between current tools and future goals complicates long-term technology investment decisions. You’ll need to balance leveraging today’s AI capabilities with preparing for future breakthroughs.

4. Competitive opportunities: While others might wait for the ‘next big thing’, you can gain an advantage by mastering and fully using the tools available today.

Making Today’s AI Work for You

Given this landscape, here’s how to approach AI as a business leader:

1. Maximise current tools: Don’t wait for perfection. For example, a law firm might use current language models to draft initial contract versions, freeing up lawyers for high-value tasks like negotiation and client counseling.

2. Integrate AI strategically: View AI as part of your broader business strategy. A marketing agency could use AI for data analysis and content creation, allowing human creatives to focus on strategy and client relationships.

3. Stay informed, but grounded: Keep an eye on AGI developments, but focus on practical applications for your business today.

Act Now, Prepare for the Future

To future-proof your business:

1. Upskill your team: Invest in AI literacy across all levels. This isn’t just about technical skills, but also about understanding AI’s potential and limitations in your industry.

2. Automate strategically: Use AI for repetitive tasks, but also look for opportunities to enhance decision-making with AI-powered analytics.

3. Redefine your value proposition: As AI takes over routine tasks, focus on uniquely human aspects of your services – strategic thinking, creativity, and emotional intelligence.

Don’t wait for the ‘perfect’ AI tool. Start maximizing the potential of what’s available now. This will give you a competitive edge today and position you to adapt quickly as AI evolves.

Take the Next Step

Want to stay ahead of the AI curve? Subscribe to my email list – link at the top of the page – for insights on leveraging AI in your business.

Would you like personalised guidance? Schedule a call with Alastair to learn how we can help you with AI strategy, implementation, and training.

💡 Your AI Transformation Starts Here:

Get The Free AI Toolkit for Strategic Breakthrough
Zero Guesswork, Maximum Impact

Get Instant Access
Written by Alastair McDermott

I help business leaders and employees use AI to automate repetitive tasks, increase productivity, and drive innovation, all while keeping a Human First approach. This enables your team to achieve more, focus on strategic initiatives, and make your company a more enjoyable place to work.

Table of Contents

More posts like this.

Bridging the Divide Between Human and AI
AI Essentials

Why AI Accuracy Doesn’t Always Matter

“That’s about as insane of a statement as anyone can make.” That’s what someone said to me after I posted: “[AI] accuracy doesn’t matter in some fields.” (It was a robust conversation 🙂) And fair enough – on the surface, it does

Bridging the Divide Between Human and AI
AI Essentials

AI Frustrations: Why the Hype Rarely Matches Reality

AI Frustrations: Why the Hype Rarely Matches Reality Everyone says AI is improving – but what if it’s not? What if the reality is far less impressive than the headlines suggest? A university educator recently voiced a frustration that many professionals share:

Bridging the Divide Between Human and AI
AI Essentials

How Smart Teams Choose the Right AI for the Job

Don’t Let Your Software Vendor Choose Your AI Most businesses use only the AI that comes with their software – like Microsoft Copilot or Google Gemini. I’ve found this limits your results without you even realising it. This isn’t about one tool

Bridging the Divide Between Human and AI
AI Strategy

The AI Job Boom

AI is no longer a niche skill – it’s becoming a core competency. Since late 2022, AI-related job postings have increased by 68%, while overall tech job postings have fallen by 17% and general IT roles have declined by 27%. The trend

Bridging the Divide Between Human and AI
AI Strategy

AI in Lung Cancer Screening

A Breakthrough in Reducing Radiologist Workload Artificial intelligence (AI) is already transforming healthcare, and a recent study published in the European Journal of Cancer confirms its effectiveness in lung cancer screening. Researchers validated a commercially available AI system using data from the

Get regular updates on AI strategies that work.

You're almost there!

I turn AI tech & strategy into clear, actionable insights. You’ll discover how to leverage AI, how to integrate it strategically to get a competitive edge, automate tedious tasks, and improve business decision-making.

– Alastair.