I’m gearing up for an exciting autumn as work resumes post summer break! Last year, Generative AI hit the public sphere and has been gaining momentum ever since. The tempo is furious.
A lot of push
Big tech companies like Microsoft, Google, Facebook, and Apple are investing heavily in generative AI, each with unique strategies. This push will result in broader adoption of generative AI, it you will hopefully encounter it this fall. In parallel, we're also seeing the major management firms providing strategy guides for AI, indicating a strategic shift.
With this backdrop, the autumn will be something extra!
Here's what I'm excited about for the rest of 2023:
1. AI from Non-Techies: I look forward to understanding how AI is explored and implemented by non-tech professionals. How are HR, line managers, CFOs, and even philosophers thinking about and leveraging this technology? More use-cases and less foundational model comparisons.
2. Enterprise adoption: Will we see broad enterprise adoption of generative? We already have an enterprise version of BingChat and a price tag on M365 Copilot. Will there be an explosion of enterprise solutions hitting the market? What are the consequence in terms of:
Productivity Boost: How is AI affecting productivity across different sectors? What are the concrete use cases, and time savings? How do we spend that “extra time”?
Job Market Response: What is the response to automation? Will we see a flood of new jobs already now or will there be a gap? A recent Netflix job posting for a machine learning platform product manager shows the role AI will play in content creation, likely reducing the need for human writers. How will such changes impact the job market?
AI-Integrated Business Processes: Are we going to see business processes, such as project management, being redesigned with generative AI at their core? How will a day for a project manager look like if 50% of the management is handled by AI
Up-skilling: How to train millions of employees to leverage the tools?
3. AI solving global problems: How is AI solving engineering problems? If AlphaGo could surprise a whole world by the “37th move”, could AI surprise us by new solutions to engineering problems?
Climate Change: How is AI helping us to win the fight against global warming? What are the concrete examples of AI-generated ideas helping combat climate change?
Cure for diseases: We have seen Alphafold starting to be used in protein research, but what else is happening in the life-science space?
Lot’s of questions, and hopefully lot’s of answers in the months to come. Excited for the journey!
What are you most excited for?
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