AI Future Forecast: Top Predictions for 2024 and 2025 from Leading Expert publications: ?? ??

Below are the collation of Top AI predictions from 3 different sources as per my understanding (IDC , Forbes, Cambridge Open Academy ). ?? ?? ............

Its now mid of the year 2024, are we seeing any of these predictions?

Whats your opinion ? ?

Do you have more predictions? Provide your list in the comments.

Investment in digital business, augmented by GenAI, will continue to drive new models and positive outcomes going forward.

Those organisations that have already begun their digital business journeys have seen the value and will continue to invest and innovate. ?

Those that have delayed are at risk of losing significant market share over the next five years.

?? Artificial Intelligence (AI): From Assistants to Augmentation : ??

As per Cambridge Open Academy , the Artificial intelligence (AI) has transitioned from a science fiction trope to a ubiquitous reality. Moving beyond basic automation, 2025 will witness the widespread integration of AI into our daily routines.?Artificial intelligence (AI) is all about creating computer systems that can do things we used to think only humans could do. We can expect to see the emergence of sophisticated personal AI assistants capable of anticipating our needs and streamlining tasks. Customer service will undergo a significant transformation, with AI-powered chatbots providing personalised and efficient support, indistinguishable from their human counterparts.

Impact:?

• Business Automation:?AI will automate repetitive tasks in businesses.
• Decision Optimisation:? AI will optimise decision-making processes.
• Personalised Customer Experiences: Businesses will use AI to personalise customer interactions.
• Healthcare Breakthroughs: AI will aid in medical diagnosis and drug discovery.
• Data Analysis: AI’s ability to analyse vast datasets will drive personalised treatment plans in healthcare.

?? Nvidia will dramatically ramp up its efforts to become a cloud provider: ??

Most organisations do not pay Nvidia directly for GPUs. Rather, they access GPUs via cloud providers like Amazon Web Services, Microsoft Azure and Google Cloud Platform, which in turn buy chips in bulk from Nvidia.

But Amazon, Microsoft and Google—Nvidia’s largest customers—are fast becoming its competitors. Recognising how much value in AI today accrues to the silicon layer (for evidence of this, look no further than Nvidia’s stock price), the major cloud providers are all investing heavily to develop their own homegrown AI chips, which will compete directly with Nvidia’s GPUs.

With the cloud providers looking to move down the technology stack to the silicon layer in order to capture more value, don’t be surprised to see Nvidia move in the opposite direction: offering its own cloud services and operating its own data centers in order to reduce its traditional reliance on the cloud companies for distribution.

As per Forbes , Nvidia has already begun exploring this path, rolling out a new cloud service called DGX Cloud earlier this year. We predict that Nvidia will meaningfully ramp up this strategy next year.

This could entail Nvidia standing up its own data center (DGX Cloud is currently housed within other cloud providers’ physical infrastructures); it could even entail Nvidia acquiring an upstart cloud provider like CoreWeave, with whom it already partners closely, as a way to vertically integrate. One way or another, expect the relationship between Nvidia and the big cloud providers to get more complicated as we move into 2024.

?? The Microsoft/OpenAI relationship will begin to fray: ??

Microsoft and OpenAI are closely allied. Microsoft has poured over $10 billion into OpenAI to date. OpenAI’s models power key Microsoft products like Bing, GitHub Copilot and Office 365 Copilot. When OpenAI CEO Sam Altman was unexpectedly fired by the board last month, Microsoft CEO Satya Nadella played an instrumental role in getting him reinstated.

Yet Microsoft and OpenAI are distinct organizations, with distinct ambitions and distinct long-term visions for the future of AI. The alliance has so far worked well for both groups, but it is a marriage of convenience. The two organizations are far from perfectly aligned.

Next year, we predict that cracks will begin to appear in the partnership between these two giants. Indeed, hints of future friction have already begun to surface.

As per Forbes , OpenAI looks to aggressively ramp up its enterprise business, it will find itself more and more often competing directly with Microsoft for customers. For its part, Microsoft has plenty of reasons to diversify beyond OpenAI as a supplier of cutting-edge AI models. Microsoft recently announced a deal to partner with OpenAI rival Cohere, for instance. Faced with the exorbitant costs of running OpenAI’s models at scale, Microsoft has also invested in internal AI research efforts on smaller language models like Phi-2 .

Bigger picture, as AI becomes ever more powerful, important questions about AI safety, risk, regulation and public accountability will take center stage. The stakes will be high. Given their differing cultures, values and histories, it seems inevitable that the two organizations will diverge in their philosophies and approaches to these issues.

With a $2.7 trillion market capitalization, Microsoft is the second-largest company in the world. Yet the ambitions of OpenAI and its charismatic leader Sam Altman may be even more far-reaching. These two organisations serve each other well today. But don’t expect that to last forever.

?? Customisation Becomes Increasingly Important: ??

The growth of customized AI systems made for particular business requirements is modifying the market’s existing texture. This shift toward customisation emerges from a requirement to efficiently incorporate AI into distinct business situations. Moreover, utilizing AI designed for certain sectors results in innovation in product development and service offerings. And this, in turn, sets new benchmarks within industries.?

Furthermore, the push for customisation is allowing companies to use AI in a way that sets them apart strategically. It helps create an advantage when competing in busy markets. Additionally, the move from generic solutions to personalised AI integrations signifies a more mature AI market. This focus on customisation strengthens AI’s reputation as an influential element across various industries. Therefore, customised AI solutions are not just a pattern but also a progression in technology use, showcasing how flexible and potent AI can be for innovative business tactics. This remains one of the key AI future predictions for 2024.?

?? GenAI Will Be Used to Innovate: ??

• GenAI will be used to codevelop digital products and services by pinpointing market opportunities and allocating company resources. The companies that utilize GenAI in this way will more efficiently and effectively roll out new revenue-generating endeavours, leading to faster-paced growth that their competitors not using GenAI will struggle to match.
• By 2025, 35% of Enterprises Will Have Mastered the Use of GenAI to Codevelop Digital Products and Services Leading to Double the Revenue Growth Compared with Their Competitors

?? Open-Source AI Models on the Rise: ??

Open-source AI models are changing how AI technologies are created and distributed. Apart from giving more people access to AI, the move toward being open also results in an international group of creators who share the same goal of pushing technology forward. The team-oriented character of open-source projects speeds up the progress in AI research and building. It allows both individuals as well as institutions to participate in a building process without barriers.?

Moreover, the joint advancement of AI models by making them open source guarantees a quick iteration process. This improves the strength and ability of AI technologies. Therefore, the wider use of open-source AI signals a change in culture within the tech industry where working together becomes more important than keeping secrets to be competitive. Also, this helps make things fairer by giving startups and educational places opportunities for big impacts in the AI landscape. Therefore, further popularisation of open-source AI models remains one of the pivotal AI predictions 2024.

?? Extended Reality (XR): Bridging the Gap Between Physical and Digital Worlds: ??

As per Cambridge Open Academy , the Extended reality (XR) encompasses augmented reality (AR) and virtual reality (VR), latest technologies blurring the lines between the physical and digital realms. AR overlays digital elements onto the real world, while VR creates entirely immersive virtual environments. In 2025, XR is poised to transition from niche applications to mainstream adoption. Imagine attending a live concert from the comfort of your home with VR, or receiving interactive training manuals through AR overlays in a manufacturing facility.

Impact:

• XR Adoption: XR (extended reality) will revolutionise training and education.
• Immersive Experiences: XR enables highly immersive and interactive learning.
• Retail Benefits: Customers can virtually try on clothes and visualise furniture using XR.
• Enhanced Decision-Making: XR helps customers make informed purchase decisions.
• Improved Retail Experience: XR enhances the overall shopping experience.

?? The Internet of Things (IoT): A Web of Connected Devices: ??

The Internet of Things (IoT) refers to the ever-expanding network of physical devices embedded with sensors and software, all connected to the internet. From smart appliances and wearable health trackers to connected cars and industrial equipment, the number of IoT devices is expected to explode in 2025.

Impact:?

• Data Insights: The interconnected web generates valuable insights for businesses and governments.
• Intelligent Systems: Data can be used to develop adaptive and real-time intelligent systems.
• Efficiency Boost: These systems enhance efficiency and productivity.
• Cross-Sector Impact: The benefits extend across various sectors.
• Data-Driven Decision-Making: Businesses and governments make informed decisions using this data.

?? Cybersecurity in a Hyperconnected World: Evolving Threats and Solutions: ??

As our reliance on technology increases and the world becomes more interconnected, the need for robust cybersecurity solutions becomes paramount. In 2025, we can expect to see a rise in sophisticated cyberattacks targeting critical infrastructure, businesses, and individuals.

Impact:?

• Cybersecurity Investment: Companies and governments should prioritise investing in advanced cybersecurity measures.
• AI-Powered Threat Detection: Implement AI-driven threat detection systems.
• Zero-Trust Security Models: Adopt zero-trust security models to minimise vulnerabilities.
• Individual Vigilance: Individuals must protect their personal information online.
• Safe Digital Hygiene: Practice safe digital habits.

?? Quantum Computing: Breaking the Computational Barrier: ??

As per Cambridge Open Academy , while traditional computers rely on bits (0s or 1s), quantum computers harness the power of qubits, which can exist in multiple states simultaneously (a superposition). This allows them to perform complex calculations exponentially faster than classical computers. Though still in its nascent stages, 2025 could mark a significant leap forward in quantum computing, with potential applications impacting fields like materials science, drug discovery,?and financial modelling.

Impact:?

• Quantum Machine Learning: Quantum computers could revolutionise machine learning by solving certain problems more efficiently than classical digital electronics.
• Unique Properties: Quantum computers harness subatomic properties to speed up specialised tasks like simulating molecules or finding prime factors.
• Materials Science: Quantum computing enables accurate results in materials science simulations.
• Health and Medicine: Quantum computing applications are emerging in health and medicine.
• Advancements Across Fields: Quantum breakthroughs impact AI, cryptography, medicine, and renewable energy.

?? The Rise of Bioprinting: Revolutionising Medicine and Manufacturing: ??

As per Cambridge Open Academy , the bioprinting, also known as 3D bioprinting, utilises living cells and biomaterials to create three-dimensional tissues and organs. In 2025, this technology is expected to make significant strides, bringing us closer to the realm of personalised medicine. Imagine printing replacement tissues or even entire organs for transplantation, potentially eliminating organ donor waiting lists.

Impact:?

• Bioprinting Promise: Bioprinting offers the potential for personalised medicine and regenerative therapies.
• Complex Tissues and Organs: Researchers can create complex tissues and organs using bioprinting.
• Drug Discovery Acceleration: Bioprinting aids breakthroughs in drug discovery.
• Disease Modelling: Bioprinted tissues enable disease modelling.
• Healthcare Impact: Bioprinting has significant implications for healthcare .

?? Hyper Automation: Robots Taking Over Repetitive Tasks: ??

Hyper-automation refers to the automation of not just individual tasks, but entire processes. By leveraging a combination of technologies like robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML), companies can automate a wider range of activities than ever before.

Impact:

• Human Focus: Hyper-automation allows humans to focus on creative and strategic tasks.
• Efficiency Boost: Increased efficiency and productivity across industries.
• Cost Reduction: Hyper-automation leads to cost savings.
• Job Displacement Concerns: The trend raises concerns about job losses.
• Workforce Re-Training: Necessity for re-training programmes due to automation.

?? Nvidia’s Cloud Ambitions: ??

Another future predicting AI development for 2024 is Nvidia’s potential to extend its influence in the cloud area. Before, users could only access Nvidia GPUs through third-party cloud platforms such as AWS, Azure, and Google Cloud. However, the situation changed when these platforms began creating their own AI chips. This resulted in a transition where Nvidia went from being a client to becoming a competitor. Now,? Nvidia is concentrating more on offering direct cloud services. Nvidia’s launching of DGX clearly highlights this trend. This move might develop further this year; for instance, Nvidia creating its own data centers or buying partners like CoreWeave. Thus, Nvidia’s further investment into the cloud and getting into strong competition with other cloud service providers feature as one of the crucial AI predictions 2024 will spotlight.

?? The Pace of Investments in Digital Technologies Will Continue: ??

Spending on digital technology by organisations will grow seven times faster than the overall economy in 2024, as companies are compelled by market demands to grow digital business models and strengthen digital capabilities.

Spending on Digital Technology by Organizations Will Grow at 7x the Economy in 2024, as Companies Are Compelled by Market Demands to Grow Digital Business Models and Strengthen Digital Capabilities.

?? Chief AI Officers Become Norm: ??

The increasing appearance of chief AI Officers in corporate structures shows that AI has become a basic business component. This advancement also mirrors the rising understanding about how AI can transform business processes and plans. Moreover, having chief AI officers means recognising the requirement for top-level management and guidance in artificial intelligence activities. Additionally, their vital strategic input helps to align AI technologies with company objectives and competitive positioning. And chief AI officers are emerging as essential for directing how AI gets integrated into business models. Also, the increasing popularity of this role across sectors implies that AI is becoming a tool of strategic importance across industries. Thus, the continuous normalisation of chief AI officers in various sectors remains another future predicting AI trend for 2024.?

?? Elevating AI to the C-Suite: ??

A recent IDC survey found that just over half of CIOs say their organization has or plans to have an individual leader responsible for AI, and approximately half of those CIOs believe the leader will be part of the C-suite executive team.

By 2026, the Proliferation of Data from GenAI and Other Key Digital Initiatives Will Result in 25% of the G2000 Organizations Introducing or Elevating the Role of Chief AI Officer to the C-Suite

?? Digital Native Businesses Will Embrace GenAI: ??

Digital-native businesses rely on technology to support their disruptive business models and to create their competitive edge. These companies will be early adopters of GenAI and will invest heavily to further their competitive advantage.

By 2025, Digital-Native Businesses Will Be at the Forefront of GenAI Adoption, Investing in GenAI at 5x the Rate of Non-DNBs to Accelerate Their Competitive Edge

?? Digital Business Platforms Enable Success: ??

Digital business platforms enable greater visibility into a company’s operations, allowing for greater insight into the impacts of their investments. As businesses mature digitally, they find measuring ROI to be more straightforward and they are more likely to build leading-edge capabilities that can drive successful digital revenue initiatives.

In 2028, Organizations with Established Digital Business Platforms Will Have 50% Higher Digital Market Share with Greater Abilities to Track ROI and Execute Digital Revenue Initiatives

?? AI Everywhere Will Supercharge New Digital Business Models: ??

IDC expects that the combination of predictive AI, machine vision, and GenAI capabilities, and the provisioning of on-demand services through digital ecosystems, will take on a new dimension. This will open opportunities to create new products and services for customer segments that will appreciate the appeal of these capabilities.

By 2025, 40% of Organisations Will Be Selling to, Engaging with, or Provisioning On-Demand Services Through Digital Ecosystems to Enable New Business Models Powered by AI Everywhere Capabilities

?? Measuring Success Will Require New KPIs: ??

Tracking what is truly relevant to the business is critical for strategic decision-making. We expect to see new key performance indicators (KPIs) implemented that reflect a shift toward the creation and delivery of digital products, services, and experiences, which are the defining attributes of a digital business.

IDC survey by 2026, 40% of Enterprises Will Develop New KPIs That Are Directly Tied to Digital Business Outcomes Through the Application of Advanced Analytics and AI

?? Digital-First Becomes the Investment Priority: ??

CEOs increasingly expect their organization’s technology leader to be focused on delivering better business outcomes, increasing business agility, and bringing in new revenue through digital products, services, and experiences.

IDC survey, by 2027, 80% of CEOs Will Assert That Their C-Suite Technology Leader’s Primary Function Should Be to Invest in Digital-First Initiatives to Deliver on Digital Revenue Targets

?? AI Will Impact Workflows and Drive Employee Retraining: ??

The wholesale adoption of AI will bring challenges for employees who see their overall workflow and learning process impacted. To mitigate negative impact and drive adoption, employees will need to be reskilled to work alongside GenAI.

By 2026, 90% of Knowledge Workers Will See AI Augmenting a Portion of Their Workflow, Resulting in the Need for Organizations to Reskill All Employees for the Next Age of Digital Business

?? Digital Technologies Will Be Used to Meet Sustainability Goals: ??

To achieve their sustainability ambitions, organizations will require both business and IT leaders to pursue digital technology investments that are twofold: meeting their digital goals while taking sustainability into account.

By 2027, to Meet Their Sustainability Ambitions, G2000 Organizations’ Business and IT Leaders Will Dedicate at Least 20% of Their Digital Tech Spending Toward Sustainability Initiatives

?? Some of the hype and herd mentality behaviour that shifted from crypto to AI in 2023 will shift back to crypto in 2024 : ??

It is hard to imagine venture capitalists and technology leaders getting excited about anything other than AI right now. But a year is a long time, and VCs’ “convictions” can shift remarkably quickly.

Crypto is a cyclical industry. It is out of fashion right now, but make no mistake, another big bull run will come—as it did in 2021, and before that in 2017, and before that in 2013. In case you haven’t noticed, after starting the year under $17,000, the price of bitcoin has risen sharply in the past few months, from $25,000 in September to over $40,000 today. A major bitcoin upswing may be in the works, and if it is, plenty of crypto activity and hype will ensue.

As per Forbes , a number of well-known venture capitalists, entrepreneurs and technologists who today position themselves as “all in” on AI were deeply committed to crypto during the 2021-2022 bull market. If crypto asset prices do come roaring back next year, expect some of them to follow the heat in that direction, just as they followed the heat to AI this year.

https://www.forbes.com/sites/robtoews/2023/12/21/10-ai-predictions-for-2024/

https://www.idc.com/research/viewtoc.jsp?containerId=US50120323