In 2024, AI will be imperceptible and ubiquitous. The illusion will be that it has faded, or failed. But it will not stall, or be bleached out. It will embroider itself indiscernibly into the very operating fabric of every enterprise on the planet. What will fail is the human to achieve consensus about its regulation. AI regulation will be revised and redrawn countless times in many countries, due to the speed of AI evolution into task-specific species. The opportunity which human failure will present will make it possible for the industry to take the first steps at self-regulation.
Costs associated with AI technologies will increase in 2024. The supreme challenge will be to deploy GenAI-driven processes at scale. The aim will be to achieve operating efficiencies that are interlaced with the economics that support its pervasive deployment. The reality of the rising cost to run it, the complexities involved, and the climbing clamour for regulation, could mean that the technology could face a development slowdown.
Players will need to acquire high-powered chips to run AI applications. In the case of generative AI, the advanced graphics processing units, or GPUs, designed by Nvidia, will be in demand to enable large companies, and small developers alike to be able to run their AI workloads. Companies like Amazon, Google, Alibaba, Meta, and some AI companies have already started to develop their specific AI chips. Many digital media AI startups in animation, film, and sound technology are offering cutting-edge services using Apps and other platforms.
The tools and capabilities of these portals run on applications housed in server farms. Users anywhere in the world paying a subscription can have access to these server farms and high-powered chips that produce results almost instantly. A standard one-month plan sells for about US$12. This gives the creator access to 625 credits that can transform Text to Video in under 16 seconds, access to unlimited video editor projects, 100GB of assets, the use of up to five editors, the video editor can export in 4K and Green Screen alpha matte, 2K image exports and full 3D texture options, and the subscriber can experience one bespoke AI generator training session with the plan.
This guarantees that during 2024, Deepfaking and other AI-assisted acts and artifacts will attract reforms in the law. Persons may use “stems” to produce an AI-generated audio clip using platforms like Elevenlabs. The audio clip can then be laid over an AI-generated image of the person using photographs and video footage to address millions of persons on social media anywhere in the world attending a virtual rally.
All of this while the person remains confined and their followers avoid public gatherings. Search engines will publish internet advisements, and citizens will receive alerts that the content or material that they may be perusing from a particular web publisher is AI-generated, and not created nor curated by humans.
AI-generated stories are already being distributed daily. Many of these stories proliferate factual errors and misinformation, and are hosted on news websites where the content has been generated completely by AI. This has resulted in the “watermarking” of misinformation manufactured by AI, following the template introduced during the COVID-19 pandemic, to combat misinformation about the virus.
Law enforcement agencies will face a barrage of AI impersonations of humans — either through voice synthesis or Deepfakes using audio and video. Image generation and voice synthesis foundation models will be used to target persons who publicly post randomly on social media platforms. This will enable low-cost and realistic Deepfakes, causing wide-ranging harm including damage to personal and professional relationships, bank fraud, insurance, and benefits.
Brand identity in many industries will be enhanced using GenAI to create content and personalization heuristics that allow customer interactions at new levels of intelligence. Personalization and steering strategies will allow Community Tourism strategies to offer visitors ways to explore a mosaic of communities in a single destination, that offers thrilling and distinctive natural, heritage, and cultural experiences.
Caribbean boutique hotels building on the “experience economy” will identify when, where, and what to offer existing visitors to make their stay intuitive and luxurious. Masquerade bands could use GenAI, alongside customers’ 360-degree data and real-time interaction behaviours to generate customised style of life products. This is in addition to AI-assisted costume designs using trend analysis to predict fashion drifts, fabrics, and interests.
In 2024, the shift will be from the lab into production. The focus will be on tangibles based on measurable business use cases that can transform the way a brand builds its identity. Brands will use GenAI prototyping to scale across business channels, factories, marketing, sales, and service functions, for everything from EVs to kitchen appliances. This drive to domain-specific processes will accelerate the shift of GenAI from general process enhancements to domain-specific capabilities.
Vertical industries will mushroom around species-specific AIs. This, in turn, will drive AI domain-specific processes that are unique to emerging verticals buttressed by FinTech. The only thing swifter than the speed with which AI technologies have appeared is the speed with which they are evolving, reshaping enterprises, and differentiating lithe organizations from inelastic ones.