In the public markets, there’s a growing separation between companies betting heavily on AI and those that aren’t. At the moment, AI companies trade at 2.5x the multiple of non-AI companies in the public market. This screaming difference should compound over time as the adoption of AI is still relatively early – we’re only 20 months into it. Productivity gains and the willingness to pay for them is just getting started. MSFT & NOW have reported 70-50% improvement in productivity in their organisations.
SOURCE: tomtunguz.com
Here are a few AI tips for decision makers:
🧐 Is AI just hype?
Not at all. Dismissing it will set you back years. AI is a tectonic technology shift on par with the industrial revolution, internet and mobile. Early AI-leaders are already lapping competitors and entire industries are being reshaped. While there’s noise around sensationalised “AI failures”, recognise the overwhelming signal of AI’s transformative impact. Seek guidance from proven AI experts to navigate org change with maximum impact.
🤔 Is generative AI new?
No, but not scalable until recently. With breakthroughs like Large Language Models (LLM) and Retrieval Augmented Generation (RAG), it’s now viable.
🧐 Is generative AI the solution?
No, it’s one subset and it may not be right for your use case. New AI types will emerge – a multi-pronged strategy is crucial.
🤨 Don’t models steal data?
Not necessarily. Scrutinise terms – some use data, some don’t. Pick solutions matching your risk tolerance.
🧐 How much will AI implementation cost?
Costs can vary widely based on your needs, from free/low-cost tools to enterprise deployments. Budget for software, computing resources, staffing and on-going maintenance.
🧐 What’s the ROI for AI?
Potential ROI is massive – streamlining processes, augmenting staff, better resource allocation, inventing and enabling new products/services. But results hinge on well-planned implementation and change management. The key is recognising AI’s transformative impact and building your “AI muscles” now to stay ahead.
🧐 Are models all the same?
No, they have specialties. E.g. for text I use Claude, ChatGPT, Perplexity, others 5% (RIP PI).
Also when it comes to Untrite’s speciality, we use some open-source libraries, but most of our models are proprietary, since our typical customer has complex infrastructure with many -otherwise siloed- legacy systems products that demand deep understanding of nuanced and technical language and situations that often require results in real time.
🤔 Will AI impact my job?
Almost certainly. Work nature, skills and approach will evolve.
🧐 How to future-proof my career?
Improve AI literacy like internet and smartphone skills. Many governments have started creating grants / funds for this so check locally*. Get hands-on practice regularly. Don’t over identify with current role, as it will morph faster than you think. Focus on outputs over processes. Embrace constant learning.
