What’s in store for us when automation hits a tipping point? Many people are scared for their jobs. Don’t be. Accept that this is the future and lean into it. To make it, you will need to research your industry and think about what’s on the horizon. Then, think about the skills you can acquire over the next few years to future-proof yourself.
Recently, I wrote an article for Entrepreneur about AI-content and how to outrank it as a subject-matter expert or writer. The key was to highlight your experience, expertise, authority, and trust (EEAT) online. What we know today is that machine-generated content lacks the depth and experience that a human writer can provide. One way to show this is by including pictures in your content. AI-generated content is just one area where machine learning algorithms will flourish in the coming years. But you can use this example to think about your own industry, and what you can do to get ahead.
Read these expert insights about the future of work and how to get ahead.
- Replace Certain Medical Staff Members
- Draft Sections of Legal Agreements
- Overhaul Video Production
- Help Marketers Comprehend Audiences Better
- Become an Expedition Tool for Staff
- Identify and Classify Investment Risks
- Streamline Hiring
- Personalize Learning and Automate Assessments
- Save Time on Repetitive Tasks
Replace Certain Medical Staff Members
In the medical field, artificial intelligence is being explored in many ways. A decade from now, I predict the use of AI will be commonplace for diagnosing and treating patients in a medical setting.
Sometimes, state-of-the-art computer algorithms are already matching the accuracy of human medical experts. In the future, we shouldn’t be surprised to see certain human roles entirely replaced by AI functionality.
Jae Pak, MD, Jae Pak MD Medical
Draft Sections of Legal Agreements
As a lawyer who makes money selling legal templates, I recognize AI is likely going to be a game-changer soon. While the generally available AI is definitely not ready for prime time yet, it is advancing quickly.
Before too long, AI will be capable of drafting sections of agreements. Lawyers will need to double down on their expertise so they can help guide people to understand the issues they face rather than expecting to make money charging for the routine work that AI will handle within the next couple of years.
Overhaul Video Production
The video production industry is set for a massive overhaul thanks to the onset of transformative AI technologies like Generative Adversarial Networks (GANs). We have seen the latter play out increasingly in deep fake videos. A notable example was Channel 4 using deep fake videos (back in 2020) of the late Queen Elizabeth for a Christmas message broadcast.
Artificial intelligence—via GANs—will make it easier to produce incredible digital doppelgangers, enabling producers to duplicate visual creatives (involving realistic facial editing) at high resolution via trained GANs models.
For example, say instead of hiring a model for multiple video shoots, you can hire the model for one video shoot and use GANs to replicate the model in other attires, setups, and even different roles and poses for the other shoots. Famed Indian star, Shah Rukh Khan, once had his video ad for Cadbury chocolates further replicated via GANs. We will see more of this in the future.
Help Marketers Comprehend Audiences Better
In the upcoming 10 years, machine learning (ML) and artificial intelligence (AI) have the potential to completely transform the marketing sector. Campaigns may be automated to target certain audiences with unmatched precision and customization by employing ML/AI. Companies will also be able to create customized message plans based on consumer data collected in near-real time.
Additionally, a convergence of technologies, including sophisticated analytics, natural language processing, and face recognition, will give detailed insights into consumer patterns and preferences. Together, ML/AI technology may assist marketers in better understanding their target audiences, expediting launching campaigns, producing more interesting content, and evaluating the success of such campaigns. Ultimately, I think that over the next ten years, these technologies will be crucial to implementing marketing efforts.
Become an Expedition Tool for Staff
I don’t think that we’ll necessarily see AI completely replace employees in the HR sector; however, I think there will be an increasing requirement for employees in senior leadership roles to have a baseline understanding of AI processes to complement and ultimately expedite their day-to-day tasks.
Identify and Classify Investment Risks
As a business analyst, I have seen the advancement of AI and its inclusion in the business. AI and machine learning have changed my way of working in the past few years, and I see a tremendous change in the next 10 years.
I think business analyst jobs will shift from business modeling and analyzing business variables to analyze with AI software and AI predictions. For example, recently our company has hired an AI agency to train an algorithm so that it can identify and classify all investments that have potential risks.
Karen Cate Agustin, Business Analyst, Investors Club
As a recruiter, I’ve seen machine learning and artificial intelligence transform the industry—and this is only the beginning. Right now, AI is largely focused on eliminating rote tasks like preliminary resume scans and online aggregation of potential applicants. But natural language processing is changing that. As computers become more adept at recognizing sentiment and relationships in conversation, my role will continue to adapt.
The interview process will quickly change as expert systems rely less and less on human interference and surveillance. Candidate identification, engagement, and selection will take a fraction of the time it currently does, reducing the need for things like personality tests and emotional intelligence evaluations.
Personalize Learning and Automate Assessments
Machine learning and artificial intelligence (AI) are likely to have a significant impact on the education industry over the next 10 years. Here are a few examples of how these technologies might change the way we work in education:
- Personalized learning: Machine learning algorithms can analyze data on students’ learning styles, progress, and performance, allowing for the creation of personalized learning plans for each student. With the ability to analyze large data sets and create predictive models, AI can adjust teaching methods and learning paths to optimize the student’s educational experience.
- Automated assessment: AI algorithms can automatically grade student work, such as essays, short-answer questions, and multiple-choice tests. This would allow teachers to spend more time on other activities, such as personalizing their teaching methods to individual students and providing constructive feedback.
Save Time on Repetitive Tasks
Everybody started talking about Chat GPT in 2023, but AI has been developing for years now. I got the chance to explore some innovative AI writing tools such as Jasper, Text Cortex, etc., and I’ve come to a simple conclusion: AI will save us time on repetitive tasks (100 similar brand descriptions on Amazon, for example).
Also, AI will help look for outlines, ideas, and general drafts more quickly and probably cut down on the research time. However, as AI progresses over the next 10 years, the need for human touch, experience, and original thoughts will follow it. AI will benefit me and my industry (content writing/content management) because it will save me time and increase the demand for my expertise and originality. In the long run, we’ll win.