Industry 4.0 has been a bedrock of innovation for at least the last decade. Now, as generative AI, advanced Machine Learning, and modeling algorithms become more accessible with “off-the-shelf” technologies, questions are being raised about the value – and risks – artificial intelligence might bring to the sector.  

As industries embrace the Internet of Things (IoT), AI has emerged as a transformative force, enhancing operational efficiencies, offering predictive capabilities, and paving the way for easier strategic decision-making in unprecedented ways. In manufacturing alone, spend on AI is predicted to reach $9.8 billion by 2027 – a CAGR of almost 25% during the forecast period.  

Industries obviously see the value of AI when it comes to harnessing IoT effectively. However, this advancement also brings with it complex security challenges and ethical dilemmas. Let us delve into these dual perspectives of AI in industrial IoT, exploring how its integration is reshaping the industry while simultaneously raising crucial questions about cybersecurity and ethical considerations.