What Does Gartner’s 2024 Tech Trends Tell Us about AI?
During the recent Gartner conference discussing the various technologies for 2024, AI fell into several of these. From platform engineering to industrial cloud, AI continues to become fully embedded. Threat management, sustainability, machine customers, and connected employees all contain AI. Yet, even with the broad adoption of AI with several successful use cases, the “water is still rough” and a long way off from reaching the horizon.
Gartner emphasized the importance of organizations continuing to develop AI, including looking for ways to adopt guardrails. Most analysts following this conference agreed with this theme. AI could quickly spin out of control with no guardrails or regulations with little accountability.
Another critical trend leading into 2024 is reaching profitability with AI. Many startups, venture capitalists, and CEOs agree AI is the future of everything from technology to healthcare and finance. Profitability becomes an even more profound challenge for organizations when considering future investments.
AI, regardless of the use case or related solution, is expensive. Computational resources, power, and human capital resources make up the bulk of costs associated with AI. Even after a very successful launch of AI-related solutions, including CoPilot and integration into 365, Microsoft has commented that the cost of AI is far higher than the expected license revenue.
Will AI run its course and fade away, like other technologies that showed great promise but rarely delivered their expected value? Zero-trust, VDI, HCI, and host-based intrusion are ones that come to mind.
AI is a century-long investment play, not a one to three-year strategy. Keeping up with the maturity of this technology may become a “cost” that organizations will just need to live with versus hoping (hope is not a strategy) that AI will become profitable with the development of cheaper computing and better GPU processors.
Until the end, 2024 will be an exciting year to see which trend happens as expected and how AI’s maturity will play a critical role.
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