AI is already reshaping work: What Black professionals should do now

Introducing Bridging the Code, a new monthly column on AI, work and the Black community

The Minnesota Spokesman-Recorder is launching a new monthly column, Bridging the Code, examining artificial intelligence through a practical, human-centered lens: how it is changing work, opportunity and daily life for Black professionals, business owners and communities.

The column is written by Dwayne C. Dixon, an ethical AI strategist and member of the National Black MBA Association’s AI Advisory Council. Dixon’s work focuses on helping Black professionals and institutions understand emerging technology not just as something to adapt to, but as something to help shape.

Each month, Dixon will take on a different facet of that relationship between AI and community, from what algorithmic bias looks like beyond the headlines, to how churches and faith leaders are grappling with the technology, to what parents and educators should be preparing young people for in an AI-shaped economy. The column will steer clear of product reviews, technical tutorials and reactive takes on every new AI announcement, aiming instead for analysis readers can actually use: what is changing, why it matters and what to do about it.

Bridging the Code debuts this month with “AI is already reshaping work: What Black professionals should do now.”

What Black professionals should do now

Artificial intelligence is no longer something waiting for us in the future. It is already changing how people are hired, evaluated, promoted and paid, and helping companies decide which jobs to redesign, which tasks to automate and which skills deserve a premium.

Some of this change is visible: employees using tools that summarize meetings, draft reports, analyze data and build presentations. Other changes are harder to see. AI systems screen resumes, rank applicants, monitor performance, forecast staffing needs and recommend how resources should be allocated.

That distinction matters. We aren’t dealing only with a new set of productivity tools. We’re watching power move inside the workplace.

For Black professionals, the response can’t be panic, and it can’t be passive optimism either. We have experience working in systems whose rules weren’t written with us in mind. AI can widen access to knowledge and reduce some forms of gatekeeping. It can also reproduce old inequities faster and with less visibility. Both things can be true at once.

The practical task is to build skills, protect our interests and gain influence over how these systems are used.

Learn by using it

AI literacy will soon be part of basic professional literacy. That doesn’t mean everyone must become a programmer. It means understanding what the tools do well, where they fail and how they affect your field.

Start with work you already know. Use an approved AI tool to outline a document or identify patterns in material you can independently evaluate, then compare the result with your own judgment. Look for errors, missing context and confident statements not supported by evidence. Reading about AI isn’t the same as developing judgment through using it.

Study your work, not just the tool

Make a list of the tasks that fill your week, and separate routine production from work that depends on judgment, trust, relationships or accountability. AI affects both, but not in the same way.

Routine tasks are most likely to be automated or compressed. That doesn’t always mean the job disappears; it can mean fewer people are needed, or the role’s value shifts. A report that once took four hours may take one. The person who merely produced it is more exposed than the person who can interpret it, challenge it and help leaders act on it.

Move toward the parts of your work where context and consequence matter, and build a reputation for sound judgment and clear communication. Those qualities become more valuable as routine production gets easier.

Protect your information and your reputation

Do not place confidential client information, personnel records, financial data or private organizational material into a public AI system. Follow your employer’s policy. If no policy exists, that absence is a warning, not permission.

Verify what AI produces before your name is attached to it. These systems can invent facts, misstate sources and miss cultural meaning. An answer can sound polished and still be wrong. Your credibility remains yours to lose.

Keep records of the value you create, not just the tasks you complete. As organizations reconsider roles, a clear account of your contribution will matter more than a list of duties.

Pay attention to how AI is used on you

Understand when automated systems influence hiring, performance reviews, scheduling, promotion or compensation. Ask for transparency through managers, human resources, employee groups and professional associations. Learn what information is being collected, how it’s interpreted and whether a person reviews important decisions. This isn’t resistance to technology; it’s responsible participation in decisions that affect people’s livelihoods.

Historical data carries historical choices. A system trained on past hiring or promotion patterns may treat those patterns as a model for future success. Unequal treatment can acquire the appearance of objectivity once it’s expressed through a score. Black professionals shouldn’t accept that appearance as proof of fairness.

Get closer to where decisions are made

The next phase of professional opportunity will favor people who understand business needs, technology and human consequences. Seek assignments involving strategy, operations, risk, compliance, procurement, workforce planning or governance. Those functions help determine which systems are purchased, what they measure and where human judgment remains in control.

Our goal can’t be limited to becoming better users of tools chosen by someone else. We need Black professionals helping to set the purpose, boundaries and measures of success. Share what you learn. Create small circles with colleagues, students, business owners and community leaders to compare uses, discuss risks and build practical skills together. Access to trustworthy guidance shouldn’t depend on whether someone works for a large corporation with an AI training budget.

AI will change jobs, but job loss isn’t the only issue. The deeper issue is whether Black professionals will have a voice in deciding how work is redesigned and how opportunity is distributed.

The future of work isn’t arriving someday. Decisions being made now are shaping it. We should use these tools, question them and help govern them. We have too much at stake to remain only their users or their subjects.

Dwayne Dixon is the executive advisor of the National Black MBA Association’s AI Advisory Council. For more, visit www.dwaynedixon.com and www.ethicalaibook.com. You can also reach him directly at dcd@dwaynedixon.com.