The year 2024 has established itself as a year where the world has smoothly integrated artificial intelligence (AI) into our daily lives – enhancing productivity, driving innovation, and creating new opportunities across various industries. As we move towards 2025, this vision is rapidly expanding to becoming even significant, with generative AI (GenAI) at the forefront of this transformation.
The Rise of Generative AI
Generative AI, a subset of AI focuses on creating content has seen remarkable advancements in recent times. From generating text output to realistic images and videos to composing music – the capabilities of GenAI have expanded significantly. For instance, Runway’s Gen-2 model has shown impressive progress in generating short video clips, rivaling the quality of professional studios like Pixar. It might not be perfect, but this is only the start which does signal towards a future where the sector will potentially be dominated by GenAI.
Major corporations like Disney and Paramount have already started integrating generative AI into their production pipelines. AI is being used to lip-sync actors’ performances in multiple languages and to create stunning special effects, as seen in the act of Harrison Ford in the latest Indiana Jones film where he was de-aged (made younger). This technology is not only revolutionizing filmmaking but also extending its impact to marketing and training, with companies like Synthesia enabling the creation of lifelike deepfake avatars.
Economic Impact and Value Creation
The economic potential of GenAI is huge. According to McKinsey, AI has the potential to create $13 trillion in additional economic activity by 2030, with generative AI playing a crucial role in this growth. The technology is already driving significant efficiency gains in various sectors. For example, AI-driven automation is enhancing productivity in manufacturing, while AI-powered analytics are providing deeper insights in finance and healthcare.
Moreover, the affordability of AI tools is improving. Forrester’s 2024 report highlights that the cost of deploying AI solutions has decreased, making them accessible to smaller enterprises and startups. This is visible by OpenAI alone doubling their annualized revenue to $3.4 billion from subscriptions alone per the recent report as of June, 2024. This democratization of AI technology is helping promote innovation and enabling a wider range of businesses to take advantage AI for value creation.
Adoption Across Industries
Generative AI is finding applications across diverse industries. In healthcare, AI is being used to develop personalized treatment plans and to assist in medical imaging analysis. The financial sector is leveraging AI for fraud detection and algorithmic trading. In retail, AI is enhancing customer experiences through personalized recommendations and virtual try-ons. In hosting and cyber security, it is used to identify at risk websites and platforms and help take them down or patch issues before wider mass is impacted.
One notable example is the use of AI in education. AI-powered platforms are providing personalized learning experiences, helping students learn at their own pace and according to their individual needs. This is particularly relevant in 2024 as remote and hybrid learning models continue to evolve, driven by the capabilities of AI.
Challenges and Ethical Considerations
Despite huge potential, the adoption of generative AI holds, it is not without challenges. Ethical considerations, such as the use of deepfakes for disinformation and privacy concernsremains major hurdle/roadblock as it continues to grow. The expansion of AI-generated election disinformation is a growing problem, as seen in recent elections where deepfakes were used to manipulate public opinion. In Pakistan, AI was used to run campaigns with Imran Khan’s face which helped the party win significant seats even when he himself was behind bars. The use is seen across world in developed nations like USA to least developed country like Nepal – either positively or negatively to influence elections and politics in general.
Additionally, the need for robust regulatory frameworks is critical. Ensuring the safe and ethical use of AI requires well defined policies and guidelines. This includes developing standards for transparency, accountability, and fairness in AI applications. Companies and governments must work together to address these challenges to build public trust in AI technologies.
Looking Ahead
The future of AI in 2024 is bright so far and looks set to only gather pace in it’s advancement and popularity. With generative AI leading the charge in innovation and value creation – it continue to evolve. It will help unlock new possibilities and transform industries in ways we can only begin to imagine. However, realizing the full potential of AI will require a joint effort to address ethical concerns and to develop regulatory frameworks that ensure the responsible use of AI.
For countries like Nepal, embracing AI and learning from global advancements can pave the way for economic growth and improved quality of life. Investing in AI research and development, building regulatory frameworks, and promoting public awareness are essential steps toward harnessing the power of AI for a better future.
References
- Forrester’s State of Generative AI in 2024 Report
- MIT Technology Review on AI in 2024
- How AI for lip dubbing could change the film industry
- Case Study: AI and the Art of Content Mastery at Paramount Global
- Hollywood going the AI way: How the new Indiana Jones movie de-aged actor Harrison Ford
- OpenAI Doubles Annualized Revenue to $3.4 Billion, The Information Reports
