When OpenAI launched ChatGPT in November 2022, everything changed. ChatGPT turned the tech industry, and beyond, on its head. The power of Generative Pre-trained Transformers was suddenly democratized and the new ‘chatbot’ became talk of the town.

Since then, the product has found multiple providers and competitors, been the subject of endless debates, praise, blame and put to a myriad of tasks with uneven stories.

Many call Artificial Intelligence a job killer for youth, older workers who do not master the innovation or, per Microsoft’s research, a bane for the gamut of professions including workers in computer programming, mathematics or data science. I’d argue that the best assessment, either way, came from none other than Nvidia president and CEO Jensen Huang when he said, “You’re not going to lose your job to an AI, but you’re going to lose your job to someone who uses AI.”
Admittedly, his comment is self-serving, but few would argue that not changing or adapting is a recipe for success. Advanced economies have become what they are not because they have a smarter populace, better genes and a higher average intelligence quotient, but because they have deployed the levers of productivity and embraced automation to a higher degree than others to improve productivity and, by implication, their GDP.

While it is obvious that the correlation engine that is today’s LLM-driven AI is over-rated, and not everything is always as it seems, the fact remains that putting AI to work for yourself and your employer is a no-brainer.

Other posts have discussed the ethics, governance prerequisites and AI applicability across industries.

This infographic maps AI to the 8 core categories of marketing work, showing exactly where it applies and the specific tasks it powers.

Things That Need To Go Away: Siloed Marketing Functions And Marketers