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22 Sep 2023

What Jobs Are Impacted By AI How Do I Acquire New Skills to Hang on To My Position and Provide Value

As artificial intelligence and automation advance, many jobs are expected to change significantly or become obsolete in the coming years. This transformation causes uncertainty for many workers about the future of their careers. However, with the right preparation, we can adapt to emerging technologies and ensure they enhance rather than replace human contributions. In this blog, we will explore the types of jobs most likely to be impacted by AI. We will then discuss strategies for acquiring new skills that complement emerging technologies and allow us to transition successfully.Rise Of AI And Automation in The WorkforceThe future of jobs is changing quickly because of new technologies like artificial intelligence and robotics. Machines are getting smarter and able to do many tasks that humans used to do. Computers can now see and talk to people like humans. Robots can pick up boxes and do other physical jobs in factories very fast. AI programs can also read lots of documents and answer questions. Many jobs will change a lot or even go away because computers and robots will take over those jobs. Drivers of trucks, taxis and other vehicles may not be needed as much if self-driving cars become common. Cashiers at grocery stores could be replaced by machines that can scan items and take payments without people. Some office jobs like data entry or customer service agents answering basic questions may switch to AI chatbots. While some jobs will go away, new types of jobs will also be created to build, service and manage new technologies. People will still be needed to work with computers and solve complex problems. Jobs like teachers, doctors and engineers are less likely to change as much as they need human skills like compassion and creativity. While change is happening fast, there will still be many jobs for humans, but we need to learn new skills to work alongside computers.Importance Of Adapting and Acquiring New Skills in The Face of AI DisruptionAs technologies like artificial intelligence, machine learning and robotics advance very quickly, they will change many jobs and the skills needed. To keep up with changes and continue having good job opportunities, people must adapt and learn new skills. Humans have advantages that machines do not like creativity, complex problem solving and social skills. By gaining skills in these areas where AI is limited, people can move into jobs that are less likely to be taken over. Learning skills like programming, data analysis, cybersecurity or cloud computing will also help as these growing fields need human skills combined with technical knowledge. Staying educated through regular retraining and courses is important as the job market will demand new combinations of hard and soft skills. Lifelong learning will have to become a habit for careers to last multiple decades through technological shifts. Rather than fearing change, an open attitude to learning something new and different helps take advantage of emerging opportunities. Focusing more on skills than just jobs provide flexibility. With the right skills, workers can transition between roles or even industries as needed. By being adaptable and gaining valuable skills, people can ensure AI makes life better instead of worse through meaningful jobs.Types Of Jobs Most Affected By AIMany routine jobs that follow set processes are most at risk from AI. Machines can now do things like process transactions, retrieve information, or control machinery without direct human involvement. Office roles like data entry clerks will see an impact as computers can analyze handwriting and understand spoken words. Also affected are back-office administration work involving structured record keeping. Many manufacturing jobs done by machines will transition more to monitoring and maintenance as robots get better. Driving jobs are another major sector that may change. Self-driving vehicles and delivery bots mean long-haul trucks, taxis, buses and other commercial vehicles may need fewer professional drivers. Fast food workers face risks too from automated order taking, cooking and even delivery. Telemarketers and customer service agents answering repetitive queries are being replaced by virtual assistants. Even paralegals and some medical diagnosticians could lose work to AI analyzing legal documents and scans better than people. Retail jobs are also under threat from computer vision driving automated inventory and cashier-less stores. However, jobs involving managing people, complex problem-solving and non-routine manual work are less vulnerable currently.Potential Benefits of AI In the WorkplaceWhile AI and robots may replace some jobs, they can also help in many ways. Machines that can lift heavy boxes mean less stress and injury for workers doing physical tasks. Automating dull and repetitive work frees up people to focus on more rewarding jobs that machines cannot do well like managing others, creative problem solving and personalized customer interactions. AI assistants can help distribute work evenly and flag issues needing attention so employees aren't overloaded. Tools using data analysis help spot trends and predict problems in advance so they can be addressed before becoming bigger issues. Automation also increases productivity as computers can handle large amounts of information and complete work much faster than humans. Organizations benefit from reduced costs through efficiency gains like less wasted time and materials. AI is also more consistent than human workers in following correct procedures. Self-driving vehicles and delivery bots mean less time spent on transporting goods and supplies which helps businesses save on transportation costs too. Customers also experience benefits from self-service technologies that provide quick and convenient service at their fingertips through smartphones and apps any time of day. Overall, using AI to assist rather than fully replace humans can optimize workplace performance and satisfaction for both employees and companies.Strategies For Skill Acquisition and AdaptationAs the nature of work evolves due to technological advancements, it is important to continuously update our skills in order to stay relevant and employable. This section will outline some effective strategies we can utilize to acquire new skills and adapt to changes in the job market. Lifelong Learning as A Fundamental Approach In the fast-changing world of work, learning cannot end after formal education. People must embrace continuous learning as a way of life. To stay relevant in a technology-driven economy requires regularly upgrading existing skills or acquiring new ones. This means taking online courses, attending seminars and workshops. Reading books, articles and keeping up with industry trends also helps. Employers value workers who show initiative in expanding their skillset. Lifelong learning should be pursued through affordable public education options and training programs.Soft Skills and Human-Centric Capabilities While technical skills are important, soft skills or human qualities cannot be replicated by machines. These include active listening, management, leadership, communication, creativity, problem solving, collaboration. Nurturing soft skills provides an advantage in a future where many routine tasks are automated. Soft skills are key to working well in teams with machines, as well as roles managing technologies. Learning soft skills happens through experiences like community service, public speaking practice, project management etc. Developing strong soft skills makes a career resilient against technological disruptions.Networking And Mentorship for Career Guidance In times of rapid change, a support system is valuable for learning about new opportunities and navigating career transitions. Developing an active network through industry events, conferences, volunteering and community involvement provides access to experienced mentors. Mentors who are senior colleagues or alumni can provide advice, feedback and referral connections. They help gauge changing job markets and guide skill building. Strong networking teaches less visible skills like communication and collaboration which are important for navigating challenges. Career guidance depends on active information sharing among dedicated networks.The Importance of Building a Personal Brand The modern economy demands individuals effectively promote their strengths and value. Building a personal brand is essential for standing out, getting noticed for new opportunities, and being credible when networking or seeking mentorship. A strong digital presence and active profile on professional sites highlighting skills, accomplishments and recommendations shows accountability and confidence. Using personal brand to keep in touch with networks spreads awareness about ongoing learning and willingness to take on new responsibilities. Well-curated social media profiles depicting personality, expertise and passions help establish credibility and authority in one's field. A consistent professional image develops trust over time.Preparing For An AI-Inclusive FutureAs AI learns and helps automate more tasks, it is good to prepare for working with technology as a partner. Learning how to work with robots and computers makes humans ready for new kinds of jobs. Taking courses about AI helps understand machine skills and limits. Knowing how AI thinks helps humans focus on what makes them special - creativity, empathy and complex problems. Learning to manage AI tools well is important too. Training teaches skills like coding simple programs, math for understanding data, electronic literacy and how to give clear instructions. Reading about ethics in technology builds knowledge to guide its safe use. Humans must stay friendly with machines helping make lives easier. Getting comfortable talking to virtual assistants and smart devices reduces work stress. Staying adaptable means seeing change as a chance to learn not be replaced. With open eyes, new pathways come available through blended jobs of AI and people. Skills training today answers work questions tomorrow. Forward thinking makes human and machine teamwork stronger together for all to benefit instead of compete.Conclusion In summary, adopting a lifelong learning mindset and cultivating both technical and soft skills will help us navigate an AI-transformed job market. While some roles may no longer exist in their current form, new opportunities will arise that blend human and artificial intelligence strengths. Maintaining networks and actively building our professional brand also provides career guidance during times of disruption. Rather than fearing change, an openness to learning empower us to partner capably with technology. If we invest in adapting our skills proactively, AI can augment human capabilities for the betterment of work and society overall. The future remains unwritten, and much depends on how we choose to prepare for it.

USCIS Overhauls Lottery Proces

In a significant change for the upcoming H1B cap season, USCIS has announced plans to overhaul the
lottery process that determines whether applicants are selected in the annual H1B visa lottery.
Traditionally, USCIS would randomly select H1B petitions from the huge influx of submissions and either
accept them into the 65,000 regular cap or the 20,000 advanced degree exemption. However, this
resulted in no way to predict one's chances or even know if the same applicant may be selected year
after year.
Now, USCIS will implement a new electronic registration system for H1B petitions for the 2024 cap
season. Applicants will submit an online registration along with their fee, but without a full application.
USCIS will then randomly select registrations and invite the corresponding applicants to fully submit
their petition with supporting documents. This allows USCIS to better manage the workload and provide
a more orderly process. Selected registrants will have 90 days to submit their full application.
While the new system won't increase the annual caps, it aims to introduce more fairness, transparency,
and ease of use compared to the old lottery. It also gives applicants a better sense of their odds through
the initial registration selection versus the complete uncertainty under the old system. Overall, the
changes seem focused on modernizing the intake process for the immense volume of H1B applications
each cap season.

Premium Processing Suspension Continues

In addition to the changes in the lottery system, USCIS has opted to continue the suspension of Premium
Processing for H1B cap-subject petitions through FY2024. Premium Processing allows petitioners to pay
an extra $1500 fee to have their case adjudicated within 14 calendar days. This expedited review is
useful for time-sensitive transfers or start dates.
However, USCIS has kept Premium Processing suspended since March 2020 due to the immense
backlogs caused by the pandemic. With hundreds of thousands of H1B petitions annually, resuming
Premium would only divert limited resources away from other case types. By keeping it suspended for
cap-subject H1Bs through next fiscal year, USCIS aims to whittle down pending petitions as much as
possible prior to the next cap season.
While inconvenient for some employers and transfers with pressing start dates, the suspension helps
ensure a more balanced workload across case types. It prevents the backlog from growing even larger,
though processing is expected to remain slower than usual in the near future even without Premium

Processing. As the situation stabilizes, USCIS may re-introduce this service, but for now the suspension
avoids adding further strain on limited resources processing huge cap application volumes each April.

Enhanced Document Request Pre-Adjudication

Another notable change is that USCIS may begin issuing enhanced requests for additional evidence or
documentation prior to final adjudication of H1B petitions. Previously, at testimonial events and in
formal policy guidance, USCIS indicated it planned to rely more heavily on Request for Evidence (RFE)
notices to obtain missing or unclear information before rendering a decision on a case. Now as
adjudications ramp up, USCIS will likely follow through with greater use of pre-adjudication RFEs
specifically for H1B cap-subject petitions. The goal is to reduce approval of deficient filings and have a
more comprehensive application package upon initial review.
If extra details or documentation are needed, petitioners will receive the RFE notice and have a standard
90-day response period to comply. While this adds processing time, it aims to avoid unnecessary denials
and Requests for Reconsideration further down the line. By flagging issues early and giving petitioners a
chance to address them pre-decision, USCIS hopes cases will be better supported when finally
adjudicated. This should help both the agency and petitioners by making the first decision as
comprehensive as possible.

Tougher Occupational Requirements
In continuing efforts to reform the H1B program, USCIS will be taking a more rigorous approach to
verifying that an applicant's intended occupation matches the degree requirement or its equivalence. In
the past, some petitioners took advantage of loosely interpreting the rules to qualify candidates who
may not have fully met the standard definition of a "specialty occupation." To curtail this, USCIS will
more closely examine if the proffered position truly requires the attainment of at least a U.S. bachelor's
degree in a specific specialty.
USCIS officers will also consider if a degree requirement is more of a preferred qualification rather than
a fundamental requirement of the job based on industry standards. This applies to both the initial job
offered as well as any future positions the candidate may hold under the same petition for extension of
stay. The goal is to ensure such jobs are genuinely complex and specialized enough too typically require
at least a bachelor's level education as Congress envisioned. By taking a tougher stance, USCIS aims to
curb any misuse while strengthening overall program integrity.

Increased Site Visits and Fraud Investigations
Beyond petition adjudications, USCIS has significantly ramped up site visits to H1B employer locations as
well as targeted fraud investigations in recent years. The agency will likely maintain a strong focus in
these areas going forward. Officers regularly visit employer worksites listed for H1B employees to verify
that legitimate job duties match what was documented in the application. They check if positions and
people exist as described.
Officers may also choose to inspect I-9 Employment Eligibility Verification forms while on site.
Unscheduled visits help ensure compliance and identify discrepancies. Separately, USCIS has formed a
new division focused specifically on detecting and investigating H-1B visa fraud and related schemes.
This includes probes into job orchestration scams, bench delays, and other non-compliance that
undermine the integrity of the program.

Employers sponsoring large numbers of H-1B workers can expect heightened scrutiny. The message is
clear – any instances of abuse, misrepresentation or illegitimacy will likely face serious repercussions
involving penalties, bans or even potential criminal charges. By devoting more energy to compliance
verification and fraud detection both during and after the adjudication phase, USCIS aims to safeguard
the H-1B program’s credibility.

Conclusion
In summary, the upcoming H1B cap season features major revisions to longstanding policies and
processes. The adjustments signal USCIS's intention to firmly enforce compliance while modernizing
intake procedures. With greater scrutiny of petitions and compliance expected across various stages,
those relying on H1B visas must be diligent. While the reforms add complexity, successful petitioners
who take time to understand and address each element fully will be better positioned. Overall, the
changes reinforce that pursuing H1B status demands thorough preparation according to rising agency
standards. Staying up to date on policy developments is key to navigating future cap application cycles
smoothly.