Emerging Employment Opportunities for Humans in the Age of AI

Part 1 of 2 

Artificial intelligence promises to transform industries, but many fear it will also replace human jobs on a massive scale. Will it? Both The Wall Street Journal and CNN reported the many types of jobs that will flourish in an AI world based on their respective intervews. 

Rather than compete with machines, workers can develop specialized talents that integrate human and artificial intelligence. Global mobility specialists will need to watch out for these AI jobs for employers.

AI healthcare professional

AI holds tremendous potential to improve healthcare by personalizing treatment and freeing up doctors’ time. By analyzing patient data, AI can help predict health risks earlier and suggest targeted therapies for each individual. This preventative approach improves outcomes.

For example, an AI assistant could process lab results and patient history to advise personalized cancer treatments, avoiding a one-size-fits-all approach. This reduces administrative workload so doctors can focus completely on the patient.

However, relying on algorithms for medical decision-making also raises critical questions. Who is liable if an AI misdiagnoses a patient or provides flawed treatment advice? How do we ensure algorithms aren’t silently biased against certain demographics? What if a doctor disagrees with an AI’s recommendations?

Patient privacy is another concern with medical data processed by algorithms. There is apprehension around sharing intimate health details with black-box systems. Strict governance is necessary, with transparency into how AI is trained and audited.

While AI’s predictive power could revolutionize medicine, the stakes are also far higher than in other industries. Lives depend on reducing harmful errors and bias through rigorous real-world validation. This will be key to establishing trust. But many are confident that if AI only provides administrative support, it can help reduce the burden on healthcare professionals.

Large language model developers

Finance firms are hiring AI developers or large language model developers to customize large language models like ChatGPT and Google’s LaMBDA. By training these models on industry data, they gain abilities for legal analysis, credit decisions, and more. Work can involve summarizing a company’s 10-K annual report filing or guiding a client through a loan-application process. The challenge will be finding people qualified to do the job.

Credit decisions: Finance firms can use these models to assist in making credit decisions. By analyzing the financial information of borrowers and market conditions, the models can provide recommendations on whether to approve or deny a loan application.

Automation: Language models can also be used to automate various financial processes, such as loan applications. They can guide customers through the application process and answer their questions, providing a more efficient and user-friendly experience.

Challenges: One of the primary challenges in implementing this technology is finding individuals with the necessary qualifications and expertise to work on customizing and deploying these models effectively. The field of AI and machine learning is highly specialized, and there is a shortage of qualified professionals who can work on these tasks. These developers need to have a deep understanding of both the technology and the specific industry they are working in.

AI psychotherapists

Companies need “AI psychotherapists” to audit algorithms for bias and explain their opaque reasoning. Unlike typical software, AI systems can’t fully articulate their logic. Psychotherapists will analyze training data and thought processes, ensuring ethical and transparent AI.

AI therapists will leverage natural language processing to analyze speech patterns indicative of depression, anxiety, and other conditions. This assists in assessment and diagnosis.

Chatbots can act as the first line of support for those experiencing crisis moments or suicidal ideation. They offer coping strategies round-the-clock until a human counselor is available.

Algorithmic counseling tailors treatment plans to individual needs and preferences. 

For example, an introvert may respond better to journaling vs group therapy. AI helps prescribe personalized care.

Virtual reality simulations let patients practice confronting fears or trauma triggers in a safe, controlled environment. This exposure therapy is automated for accessibility.

Apps utilize biosensors for emotion detection and deliver cognitive behavioral therapy exercises personalized in real-time to improve mood.

While an empathetic human touch remains essential, AI enables therapists to collect insights and provide interventions they couldn’t alone. This makes help more available and effective.

With continuous learning about patients over time, AI systems can even predict crisis moments before they occur and proactively intervene. This prevents relapse and hospitalization.

Of course, safeguards are necessary to ensure responsible use of AI in mental healthcare. 

But used judiciously under human supervision, AI promises more people access to consistent, personalized support for their mental wellbeing. It’s an assistant, not a replacement, for human counselors. By automating rote tasks and spotting patterns in data, AI can enhance human understanding and allow more time for human connection.

If held to the highest safety and ethical standards, healthcare AI can unlock enormous benefits. But it will require meticulous testing and oversight before clinicians and patients feel comfortable relying on algorithmic diagnoses or advice. Like any new medical treatment, healthcare AI demands abundant caution before widespread adoption. But the possibilities are too promising to ignore.